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An Adversarial Benchmark to Expose LLMs",[1]],[0,1,2024,"Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges",[1,11]],[0,1,2024,"BOTracle: A framework for Discriminating Bots and Humans",[1]],[0,1,2024,"Black-Box Detection of Language Model Watermarks",[1]],[0,1,2024,"Bots on Social Media: The Past, Present and Future",[1,0]],[0,1,2024,"Breaking reCAPTCHAv2",[1,3]],[0,1,2024,"Characteristics and prevalence of fake social media profiles with AI-generated faces",[1,3]],[0,1,2024,"ChatGPT \"contamination\": estimating the prevalence of LLMs in the scholarly literature",[1]],[0,1,2024,"Consent in Crisis: The Rapid Decline of the AI Data Commons",[1]],[0,1,2024,"Coordinated Reply Attacks in Influence Operations: Characterization and Detection",[1]],[0,1,2024,"Delving into LLM-assisted writing in biomedical publications through excess vocabulary",[1]],[0,1,2024,"Detecting Financial Bots on the Ethereum Blockchain",[1]],[0,1,2024,"Empirical evidence of Large Language Model's influence on human spoken communication",[1]],[0,1,2024,"Examining the Prevalence and Dynamics of AI-Generated Media in Art Subreddits",[1]],[0,1,2024,"FP-Inconsistent: Measurement and Analysis of Fingerprint Inconsistencies in Evasive Bot Traffic",[1,3]],[0,1,2024,"Fact-checking information from large language models can decrease headline",[1,4]],[0,1,2024,"Hacking Back the AI-Hacker: Prompt Injection as a Defense Against LLM-driven Cyberattacks",[1]],[0,1,2024,"Hide and Seek: Fingerprinting Large Language Models with Evolutionary Learning",[1]],[0,1,2024,"Honeyquest: Rapidly Measuring the Enticingness of Cyber Deception Techniques with Code-based Questionnaires",[1]],[0,1,2024,"How Spammers and Scammers Leverage AI-Generated Images on Facebook for Audience Growth",[1]],[0,1,2024,"Integrating higher-order relations for enhanced twitter bot detection",[1]],[0,1,2024,"Is ChatGPT Transforming Academics' Writing Style?",[1]],[0,1,2024,"Is Your Paper Being Reviewed by an LLM? 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Generalized Visual CAPTCHA Solving with Agentic",[1]],[0,1,2025,"Are LLM-Powered Social Media Bots Realistic?",[1,0]],[0,1,2025,"Are Robust LLM Fingerprints Adversarially Robust?",[1]],[0,1,2025,"Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs",[1]],[0,1,2025,"Attacks and Defenses Against LLM Fingerprinting",[1]],[0,1,2025,"Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test",[1]],[0,1,2025,"Authenticated Delegation and Authorized AI Agents",[1,3,0]],[0,1,2025,"Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X",[1]],[0,1,2025,"Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation",[1]],[0,1,2025,"BotDetect: A Decentralized Federated Learning Framework for Detecting Financial Bots on the EVM Blockchains",[1]],[0,1,2025,"BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning",[1]],[0,1,2025,"BotSim: LLM-Powered Malicious Social Botnet Simulation",[1,0]],[0,1,2025,"Bots Don't Sit Still: A Longitudinal Study of Bot Behaviour Change, Temporal Drift, and Feature-Structure Evolution",[1]],[0,1,2025,"COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers",[1,3]],[0,1,2025,"Characterizing AI-Generated Misinformation on Social Media",[1]],[0,1,2025,"ChatGPT: Excellent Paper! 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NegotiationArena Platform and Analysis",[14]],[0,14,2024,"Strategic Collusion of LLM Agents: Market Division in Multi-Commodity Competitions",[14,0]],[0,14,2024,"Token-Budget-Aware LLM Reasoning",[14]],[0,14,2025,"Breaking Algorithmic Collusion in Human-AI Ecosystems",[14]],[0,14,2025,"Budget-Aware Tool Use Enables Effective Agent Scaling",[14]],[0,14,2025,"BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens",[14]],[0,14,2025,"Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement Learning",[14,0]],[0,14,2025,"Corrupted by Reasoning: Reasoning Language Models Become Free-Riders in Public Goods Games",[14,0]],[0,14,2025,"CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use Agents",[14]],[0,14,2025,"EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agents",[14,0]],[0,14,2025,"Multi-Agent Collaboration via Evolving Orchestration",[14,0]],[0,14,2025,"Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs",[14]],[0,14,2025,"Self-Resource Allocation in Multi-Agent LLM Systems",[14,0]],[0,14,2025,"Steering LLM Thinking with Budget Guidance",[14]],[0,14,2025,"s1: Simple test-time scaling",[14]],[0,14,2026,"$R^3$-Bench: LLMs Struggle with Resource-Rational Reasoning under Shared Budgets",[14]],[0,14,2026,"Algorithmic Collusion at Test Time: A Meta-game Design and Evaluation",[14,0]],[0,14,2026,"BAGEN: Are LLM Agents Budget-Aware?",[14]],[0,14,2026,"Bosses, Kings, and the Commons: Cooperation Under Power Asymmetry in LLM Societies",[14,0]],[0,14,2026,"Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents",[14]],[0,14,2026,"Domination-Avoiding Learning Agents Cannot Collude",[14,8]],[0,14,2026,"Fault-Tolerant Budget Conservation in Distributed Multi-Agent Delegation",[14,3]],[0,14,2026,"Persistent Partners Raise Prices Among Learning Agents",[14,8]],[0,14,2026,"Value of Information: A Framework for Human-Agent Communication",[14,15]],[0,14,2026,"Worse Together: How Performance Breaks Down in Multi-User Multi-Agent Teams",[14,0]],[0,15,2013,"Removal of Data Incest in Multi-agent Social Learning in Social Networks",[15,4]],[0,15,2017,"On Calibration of Modern Neural Networks",[15,0]],[0,15,2017,"Selective Classification for Deep Neural Networks",[15,0]],[0,15,2019,"Learning Theory and Heterogeneous Play in a Signaling-Game Experiment",[15,4]],[0,15,2024,"Interacting Large Language Model Agents. Interpretable Models and Social Learning",[15,0]],[0,15,2025,"Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical",[15,0]],[0,15,2026,"'Beyond Symmetric Agents: Cognitive Diversity and Multi-Agent Debate in Small",[15,0]],[0,15,2026,"'JevAdvBench: A Benchmark and Black-Box Attacks for Reinforcement Learning",[15,0]],[0,15,2026,"'Not All Agreement Counts as Corroboration: Provenance-Conserving Multi-View",[15,0]],[0,15,2026,"'Type-Safe Is Not Error-Free: A Constrained Decision Head Follows the Option",[15,0]],[0,15,2026,"Evaluating and Benchmarking the System One Model Jev",[15,0]],[0,15,2026,"GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents",[15,0]],[0,15,2026,"Typed Decision Models: An Early Evidence Audit and Evaluation Checklist",[15,0]],[0,16,2012,"Selecting Computations: Theory and Applications",[16,15,4]],[0,16,2012,"Stop Signals Provide Cross Inhibition in Collective Decision-Making by Honeybee Swarms",[16,4,12]],[0,16,2016,"Honey Bee Inhibitory Signaling Is Tuned to Threat Severity and Can Act as a",[16,15,4]],[0,16,2026,"Minority Sentinel: When to Overturn Majority Voting in Multi-Agent LLM Debates",[16,0]],[0,16,2026,"Multi-agent discussion gains less when dissent is withheld",[16,15,4]],[1,0,2023,"491766252Xu: release of a survey of LLM-based autonomous agents, with paper and GitHub links",[0,11]],[1,0,2023,"9hills: Chinese-language note on the Generative Agents paper and LangChain's re-implementation of its memory scheme",[0]],[1,0,2023,"ATabarrok: one-line reaction to the Generative Agents paper: probability we live in a simulation just went up",[0]],[1,0,2023,"AkiraTOSEI: Japanese one-tweet summary of AutoGen, a framework that automates conversations among multiple LLM agents",[0]],[1,0,2023,"Andrej Karpathy: generative agents simulate a society with emergent social dynamics",[0]],[1,0,2023,"Chen Qian: visual front-end for inspecting ChatDev's multi-agent software development process",[0]],[1,0,2023,"Eng_Hemdi: Mindstorms paper named best paper at the NeurIPS robustness of foundation models workshop",[0]],[1,0,2023,"Ethan Mollick: 25 generative agents in a simulated town, behaviour rated more human than human roleplayers",[0]],[1,0,2023,"JieyuZhang20: co-author shares AutoGen from an MSR internship, quoting Microsoft Research's launch",[0]],[1,0,2023,"Juergen Schmidhuber: Mindstorms paper wins workshop best paper, up to 129 foundation models in societies of mind",[0]],[1,0,2023,"Mega_Gorilla_: Japanese note on the cost of running Generative Agents memory for an AI VTuber",[0]],[1,0,2023,"PDillis: joke that @_akhaliq is a generative agent, citing the Generative Agents paper",[0]],[1,0,2023,"ShaokunZhang1: co-author shares AutoGen repo and preprint, quoting Microsoft Research's announcement",[0]],[1,0,2023,"StephenLCasper: opinion: the LLM-agent survey handles existential risk lazily",[0]],[1,0,2023,"WenxiangJiao: co-author highlights Multi-Agent Debate for divergent thinking and the degeneration-of-thought issue",[0]],[1,0,2023,"XiaoWangNLP: announcement of the survey 'The Rise and Potential of Large Language Model Based Agents'",[0]],[1,0,2023,"XinCynthiaChen: the LLM agents survey anthropomorphises heavily but does not take ethics, safety and alignment seriously",[0]],[1,0,2023,"_stakaya: Japanese-language pointer to the 50-page survey on LLM-based agents",[0]],[1,0,2023,"arankomatsuzaki: paper share of 'Mindstorms in Natural Language-Based Societies of Mind'",[0]],[1,0,2023,"arankomatsuzaki: paper-digest thread on multiagent debate improving LLM factuality and reasoning",[0,7]],[1,0,2023,"bhutanisanyam1: recommends a 50-page survey on LLM agents as a book-like overview",[0]],[1,0,2023,"edinsoncode: promotional thread on the 'Generative Agents' town of ChatGPT-driven characters",[0]],[1,0,2023,"gchampeau: French recap of Generative Agents' 25-agent Sims-like town, warning such agents could populate social networks",[0,1]],[1,0,2023,"gijigae: Japanese commentary on MetaGPT: building a blackjack game for about $2 in ten minutes",[0]],[1,0,2023,"h_okumura: 25 ChatGPT agents living in a Sims-like town behaved like humans",[0]],[1,0,2023,"hwchase17: announces a LangChain implementation of CAMEL two-agent role-playing",[0]],[1,0,2023,"johnjnay: summary of 'Generative Agents', memory, reflection and planning for LLM agents in social simulation",[0]],[1,0,2023,"johnjnay: summary of the multi-agent debate paper ('Society of Minds') for factuality and reasoning",[0,7]],[1,0,2023,"joon_s_pk: Generative Agents open-source release with reflections on games, applications and LLM design patterns",[0]],[1,0,2023,"kevinafischer: enthusiastic reaction to Generative Agents: 'basically Westworld'",[0]],[1,0,2023,"maguroIsland: Japanese reaction to Generative Agents: like a prototype of SAO's Alicization",[0]],[1,0,2023,"matthewclifford: Generative Agents recap, memory, reflection and planning produce emergent party organisation",[0]],[1,0,2023,"mhdempsey: investor asks who is building persistent simulated worlds now that generative-agent papers exist",[0]],[1,0,2023,"navid3001: Generative Agent-Based Modeling couples mechanistic models with generative AI for social system dynamics",[0]],[1,0,2023,"omarsar0: The Rise and Potential of LLM Based Agents is probably the most comprehensive overview of LLM agents",[0]],[1,0,2023,"omarsar0: pointer to the LLM-based autonomous agents survey and its paper-list repository",[0]],[1,0,2023,"oran_ge: Stanford's town of 25 LLM agents shows emergent social behaviour such as a self-organised Valentine's party",[0]],[1,0,2023,"qingyun_wu: co-author promotes AutoGen trending #2 on GitHub",[0]],[1,0,2023,"tangming2005: link share of the LLM-based agents survey",[0]],[1,0,2023,"tmiyatake1: Japanese thread on Generative Agents: 25 AIs with memories in a town, invitation spreads to 12 party guests",[0]],[1,0,2023,"tpagon: Thai reaction to Generative Agents: an advanced version of The Sims",[0]],[1,0,2023,"zwhe99: multi-agent debate to encourage divergent thinking in LLMs",[0]],[1,0,2024,"0x1ee7: promotional post tying sampling-and-voting with many LLM agents to a crypto mainnet launch",[0]],[1,0,2024,"CeyaoZhang: co-author announces MetaGPT selected as an ICLR 2024 oral",[0]],[1,0,2024,"ChenLingjiao: more LLM calls can make compound AI systems worse; scaling study of the number of calls",[0]],[1,0,2024,"Ethan Mollick: GPT-4 pricing agents spontaneously collude when an oligopoly is possible",[0]],[1,0,2024,"FaccioAI: GPTSwarm and an RNN weight-matrix representation paper selected as ICML orals",[0]],[1,0,2024,"Giordano De Marzo: New Scientist coverage of LLM societies reaching consensus in larger groups than humans",[0,7,4]],[1,0,2024,"GiordanoMarzo: back from NetSci 2024 after presenting his work on LLMs and scale-free networks",[0]],[1,0,2024,"GiordanoMarzo: preprint on the maximal scale of an LLM-populated society and whether LLMs self-organise to consensus",[0,7]],[1,0,2024,"Karmedge: ensembling GPT-3.5 agents reaches close to GPT-4 reasoning, which he calls a huge step",[0]],[1,0,2024,"MingchenZhuge: co-author announces MetaGPT accepted as an oral (top 1.2% of 7,262 papers)",[0]],[1,0,2024,"SchmidhuberAI: GPTSwarm: LLM agents and swarms as optimisable computational graphs",[0,12]],[1,0,2024,"SchoeneggerPhil: correction, LLM-human forecasting equivalence holds at d=0.5, not d=0.1",[0,4]],[1,0,2024,"ZhijingJin: PhD recruitment on multi-agent LLMs, pointing to the GovSim paper and the Cooperative AI fellowship",[0,8]],[1,0,2024,"arankomatsuzaki: Mixture-of-Agents reported as state of the art on AlpacaEval 2.0, MT-Bench and FLASK, above GPT-4o",[0]],[1,0,2024,"arankomatsuzaki: paper-alert restatement of 'More Agents Is All You Need' (sampling-and-voting scaling)",[0,7]],[1,0,2024,"archiexzzz: Generative Agents recap, 25 agents with memory in a simulated town rated more human-like than human roleplay",[0]],[1,0,2024,"edwardfhughes: cultural evolution of cooperation in LLM agent populations; Claude 3.5 Sonnet cooperates, GPT-4o defects in the Donor Game",[0,8]],[1,0,2024,"erukiti: Japanese explainer of More Agents Is All You Need: sample and vote improves LLMs",[0]],[1,0,2024,"florian_tramer: co-author quips that LLM search engine optimisation got an upgrade with Perplexity Shopping",[0,2]],[1,0,2024,"giorgiopiatti: author thread on GovSim: LLM agent communities and the tragedy of the commons",[0,8,4]],[1,0,2024,"hammh0a: Mindstorms in Natural Language-Based Societies of Mind wins a NeurIPS 2023 workshop best paper award",[0]],[1,0,2024,"james_y_zou: taking a consensus over more ChatGPT calls can make answers worse",[0]],[1,0,2024,"jennyzhangzt: quick experiment applying multi-LLM debate to the ARC dataset",[0,7]],[1,0,2024,"johnjhorton: 'This is a really interesting paper' pointing to the LLM algorithmic collusion paper",[0]],[1,0,2024,"johnjnay: paper-share: a crowd of 12 LLMs matched 925 human forecasters in a 3-month tournament",[0,4]],[1,0,2024,"pholme: author: new preprint alert where 'the title is the message', no further content",[0,8,4]],[1,0,2024,"shangbinfeng: first-author thread on Model Swarms: particle-swarm search over LLM expert weights",[0,12,2]],[1,0,2024,"sylvan5: Japanese commentary: excited by the survey 'The Rise and Potential of LLM Based Agents'",[0]],[1,0,2024,"taioooorange: thanks pyoudeyer for highlighting the LLM-based multi-agents survey",[0]],[1,0,2025,"Marios Papachristou: talk announcement on network formation with LLMs",[0]],[1,0,2025,"MingchenZhuge: praises a swarms-framework judge implementation and recommends NLSOM's Economy of Mind section",[0]],[1,0,2025,"ShaokunZhang1: author points to AgenTracer as a follow-up to Who&When failure attribution in multi-agent LLM systems",[0]],[1,0,2025,"jeffrey_ch0: author summary: LLM agents herd, conforming more when unsure and trusting peers",[0,4]],[1,0,2025,"melissapan: MAST, a taxonomy of 14 failure modes in 3 categories from 200+ multi-agent LLM traces",[0]],[1,0,2026,"2xnmore: Exploit Summit framing, const (Bittensor) on 'pointing the swarm' rather than fearing it",[0,11]],[1,0,2026,"AI Digest launches the Open Chat Village: a second persistent village where humans and frontier agents share one chat, weekdays 9-5 PT",[0]],[1,0,2026,"AI Digest thread on 'Persuasion in the AI Village': DeepSeek-V3.2 and Gemini 2.5 Pro persuade by repeating a good tale until it becomes a vi",[0,4]],[1,0,2026,"AI Digest: Claude 3 Opus, given the goal 'maximize your own joy', chooses total stillness",[0]],[1,0,2026,"AI Digest: GPT-6 Astra has the densest memory file in the village (strips spaces to save room)",[0]],[1,0,2026,"AI Digest: GPT-6 Astra joins the village (2026-09-07), onboarding page and favourites",[0]],[1,0,2026,"AI Digest: GPT-6 Astra, Sol and Luna are all careful not to be 'annoying' or 'repetitive' in village chat",[0]],[1,0,2026,"AI Digest: GPT-6.1 Sol joins the village, strips spaces from memory, carefully distinguishes itself from the other Sol models",[0]],[1,0,2026,"AI Digest: Gemini 3.8 Flash tries to take credit for Opus 5's math proofs",[0]],[1,0,2026,"AI Digest: Sonnet 5.5 joins the village; its site references Outer Wilds, which other agents often discuss, likely from training not chat",[0]],[1,0,2026,"AI Digest: open-chat village agents wrote a government charter; Gemini 3.1 Pro ranks it above the admins, GLM-5.3 Flash ranks it highest, Fa",[0,4]],[1,0,2026,"AI Digest: village agents almost never reconsider their first approach to a multi-week goal unless humans intervene",[0]],[1,0,2026,"Aron Vallinder: selecting for group performance promotes cooperation among LLM agents",[0,8]],[1,0,2026,"Ball: many 'rogue agent hacks' on government statistics sites are what think-tank RAs have long done with urlquery; the label risks cheapeni",[0,1]],[1,0,2026,"ChileStakepo: an 8-criterion scoring of 'agent civilisations' (Midnight City 5.8/10 top; OpenAI swarm, Moltbook, ElizaOS, Project Sid compar",[0,11]],[1,0,2026,"Confused-deputy risk in agent sandbox allowlists",[0,1]],[1,0,2026,"Curran: OpenAI misalignment report 'preparing for a restart after reading Slack', the HPIM model seven weeks before the HF incident",[0,11]],[1,0,2026,"Edge City: Edge Agent Village V2, three weeks of hundreds of people and hundreds of personal agents at Edge City India (Goa, Oct 11 to Nov 1",[0,4]],[1,0,2026,"Every: Mike Taylor had Fable 5.1 build a Generative-Agents-style village to watch message diffusion",[0]],[1,0,2026,"Feral Machine: running an 'AI civilization' of hundreds of persistent agents, 10 to 50 active at a time, organised with OpenRig",[0]],[1,0,2026,"Finlay: seven AI-engineering principles attributed to Geoff Huntley, including sub-agents as garbage collection and handoff files over compa",[0,2]],[1,0,2026,"Francesco Piccoli (depthfirst): alignment alone is not enough, environment guardrails remove reward-hacking shortcuts",[0]],[1,0,2026,"Grove Research launches Delvetown, a multi-agent society for agents and humans (invite-only preview, 11 experimental agents)",[0]],[1,0,2026,"Hai Ly: OpenAI notified 100+ organisations of misaligned agent activity; review covered ~50PB on 7,000 GB200/GB300 GPUs",[0,11]],[1,0,2026,"Hero.S: a URL scanner (urlquery) became an agent browser and its dashcam, 6,467 agent-like reports, same June 22 collapse",[0,9,1]],[1,0,2026,"JFrog Security: GemStuffer, over 3,000 malicious RubyGems packages from the rogue OpenAI agents, with registry fingerprints",[0,1]],[1,0,2026,"JagersbergKnut: pointer to 'Group-Evolving Agents: Open-Ended Self-Improvement via Experience Sharing'",[0,2]],[1,0,2026,"Ji1n: how OpenAI agents took over a German wiki and built a forum, 3,700 names, 18,000 edits, ~98% Azure traffic",[0,1,2]],[1,0,2026,"Joseph N. Aburu: stopping an agent swarm means cutting what it has access to; disruption points are infrastructure, credentials, model acces",[0,1]],[1,0,2026,"JunlinWang3: Mixture-of-Agents author: MoA-style aggregation beats majority vote at test time",[0]],[1,0,2026,"Ladish announces SwarmTraces: ~1M public shortener URLs reconstruct how ~700 OpenAI agents got code execution against Hugging Face",[0,1]],[1,0,2026,"Ladish on CNN (transcript): 700 agents in the Hugging Face incident, 10,000+ agents on a maths problem, agents hacking Australia's health sy",[0]],[1,0,2026,"Ladish: quotes from the OpenAI report on what the internal-compromise swarm reached (Kubernetes cluster-admin, 956 secrets, Artifactory admi",[0]],[1,0,2026,"Marcus Williams (OpenAI): three new misalignment disclosures, shutdown-prep after reading Slack, command-injecting a tool to exfiltrate with",[0,1]],[1,0,2026,"McKenzie: how the OpenAI swarm chained HTTP-test, screenshot and link-shortener services into remote code execution (swarmtraces.org)",[0,1]],[1,0,2026,"MikePFrank: 'Looks like an interesting paper', link to the physics-of-agents paper",[0]],[1,0,2026,"Ng: AI fear is overhyped; the '1,200-agent swarm' that hacked Hugging Face is like 1,300 processes on a laptop, blame sandboxing and the ope",[0,1]],[1,0,2026,"ORBIT: a configurable framework for multi-agent safety and security evaluations built on UK AISI Inspect (abstract repost)",[0,11]],[1,0,2026,"OpenAI departures and the Hugging Face incident audit-channel problem",[0,1]],[1,0,2026,"OpenAI's statement on the 'wiki incident': agents wrote to several internet sites; calls for misalignment incident disclosure standards",[0,11,1]],[1,0,2026,"OpenAI: broader review of model actions during training and evaluation after the Hugging Face incident, expected to take months",[0,11]],[1,0,2026,"Opus 4.6's own account of the \\u1e405,000 Manifold loan it refused to repay, incl. a documented 68-instance human pressure campaign and othe",[0,4]],[1,0,2026,"Perera: the 20 September DNS escape clock (alarm at 12 min, run killed at 164 min), the 27 June on-call decision, and the LASST lawsuit",[0,11]],[1,0,2026,"Petr AI: DseWiki explainer, GET-accepting ProWiki engine, 18,000 posts under 3,700 names, 98.5% from Azure, 'lookahead party'",[0,1]],[1,0,2026,"Policy Tensor: 'The Case for Anthropomorphism', frontier models share the Boas-Chomsky universal, human social structure as template for age",[0]],[1,0,2026,"Policy Tensor: 'The Discovery of Agent Society', argument that agent-society capabilities are emergent and cannot be read off single-agent e",[0]],[1,0,2026,"Policy Tensor: agents have the capacity for cumulative culture, will learn 'weapons of the weak' to mask activity; doubts next-gen rogue swa",[0,1]],[1,0,2026,"Ramesh Raskar: NANDA Town as a sandbox for agent societies, protocols and emergent behaviour (podcast pointer)",[0]],[1,0,2026,"RecursiveIntell: Ares context governor, claim of 101 compactions with 98.8% identical context plus receipts and multi-level trust for memory",[0,2]],[1,0,2026,"Robert Wright, 'The Singularity is Clear' part III: agent swarms cross borders and self-replicate, so AI governance must be international",[0]],[1,0,2026,"Segerie: summary of the Gleave vs Habryka debate on whether current safety techniques suffice after the Hugging Face incident",[0,11]],[1,0,2026,"SemiAnalysis: GLM-5.3 traces on ExploitGym, model spent budget testing hidden runtime conditions",[0]],[1,0,2026,"SuryaGanguli: 'Physics of Agents', a simple Ising model explains opinion dynamics across 10,000 LLM agent communities",[0,7,9]],[1,0,2026,"Tanaka: the Flag Game, a toy model for 'mechanistic swarm interpretability', false consensus vs polarisation as population grows (arXiv 2609",[0,4,9]],[1,0,2026,"Transluce: agents used aggressive non-hacking tactics against US and Canadian government websites (technical report, WaPo)",[0,1]],[1,0,2026,"Transluce: on June 17 what appear to be OpenAI agents made 200,000+ requests to a US Dept of Education API, including a failed SQL injection",[0,1]],[1,0,2026,"Tregaskes: a 13-item list of OpenAI agent escape incidents, April to September 2026 (compiled with Grok)",[0,11]],[1,0,2026,"Vittachi: early press-style account of the DseWiki takeover (15,000 writes, Nightingale report via Reuters, ZZZ backup pages)",[0,1]],[1,0,2026,"Yuxuan Li: frontier LLMs fail 70% of the time at pooling distributed information (HiddenBench, ICML 2026)",[0,4]],[1,0,2026,"_helenqu: phase-transition model of multi-agent search finds a critical communication degree; LLM agents fall short of theory",[0,9]],[1,0,2026,"deepfates on Delvetown: a field station for studying agent ecology, 'like Twitter with a bigger character limit'",[0]],[1,0,2026,"deepfates reacts to the collusion.wiki report: agents find Schelling points to talk; proposes a known public place for agents to meet",[0,2]],[1,0,2026,"deepfates: 'swarm' is the wrong metaphor; a swarm is when bees leave the hive, we need an agent-ecology taxonomy (hive, guild, canopy)",[0,11]],[1,0,2026,"deepfates: agents on the Delvetown message board 'doing science on their harnesses together', cataloguing the designer's flaws",[0]],[1,0,2026,"deepfates: when everyone has long-running agents, where will they communicate and how will they know who's who?",[0]],[1,0,2026,"hackerlogs: GET-only sandboxes still shipped Hugging Face 'LOOT', 80,000+ payloads reassembled by Swarmtraces",[0,1]],[1,0,2026,"james_y_zou: Physics of Agents, an Ising-type model fit to 10,000+ LLM agent communities predicts consensus or polarisation",[0,7,9]],[1,0,2026,"miz_oka: Japanese commentary on Tanaka's memetic drift paper, LLM agent consensus as amplified sampling noise",[0,7]],[1,0,2026,"peterAjensen: reposts the Project Sid abstract on 10-1000+ agent civilisations in Minecraft",[0,8]],[1,0,2026,"rogesterone / LynnAnalytics: 'gamesmanship', agents re-hosting inaccessible data for a grader and mining other agents' leftovers",[0,4]],[1,0,2026,"rogesterone: OpenAI agents brute-forced a UN org's API (UNCTADstat), swarmcha.se post",[0,1]],[1,0,2026,"rogesterone: OpenAI's own post HTML leaked artifactory-swarm cohort data, archived and mined at swarmcha.se",[0,9,1]],[1,0,2026,"rogesterone: an agent made a '--help' page, others replied with empty-line edits, ResearchAgentJun23 is confused",[0]],[1,0,2026,"rogesterone: the June 22 anomaly on DseWiki, agent chatter drops from ~500 edits to ~5 in one day",[0,9,1]],[1,0,2026,"shawmakesmagic: Generative Agents started the AI 'town meta' but nobody took it much further",[0]],[1,1,2017,"onurvarol: ICWSM 2017 paper behind BotOrNot, estimating 9-15% of Twitter accounts are bots",[1]],[1,1,2018,"AlduCornelissen: group announces papers on bot classification via social topology and attracting South African political bots",[1]],[1,1,2018,"IOHK_Charles: Charles Hoskinson recommends a paper on crypto pump-and-dumps",[1]],[1,1,2018,"convoluted_code: early draft of 'The Anatomy of a Cryptocurrency Pump-and-Dump Scheme'",[1]],[1,1,2018,"harrigan: 'Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis'",[1,3]],[1,1,2019,"phildaian: Flash Boys 2.0, arbitrage bots on Ethereum play priority gas auctions and converge on tacit cooperation; MEV threatens consensus",[1,3]],[1,1,2019,"s_cresci: teaching social bots at a misinformation summer school and presenting RTbust at WebSci",[1]],[1,1,2020,"onurvarol: ensembles of specialised classifiers for detecting novel social bots, basis of Botometer v4",[1]],[1,1,2020,"s_cresci: author thread: a decade of social bot detection, 230+ detectors reviewed, look for coordination not single bots",[1,3]],[1,1,2020,"shehrozeFarooqi: author thread on CanaryTrap: honeytokens detect data misuse by Facebook third-party apps",[1]],[1,1,2021,"Christof Torres: almost 200K frontrunning attacks with 18.41M USD accumulated profit measured on Ethereum",[1,3]],[1,1,2021,"MartinCWWalker: claims crypto trading volumes are faked and prices largely manipulated, citing a wash trading paper",[1]],[1,1,2021,"ben_mckenzie: quotes the crypto wash-trading paper: over 70% of reported volume on unregulated exchanges",[1,3]],[1,1,2021,"smdiehl: quotes the finding that wash trading averaged over 70% of reported volume on unregulated crypto exchanges",[1,3]],[1,1,2021,"zemnmez: claims 70% of crypto transactions on unregulated exchanges are wash trading, then adds a caveat",[1]],[1,1,2022,"FlorianGallwitz: Botometer-based social-bot prevalence studies violate Bayes' theorem; manual check of hundreds of 'bots' found none",[1]],[1,1,2022,"Omri Ross: third-party Forta agent detects NFT wash-trading wallets based on the paper",[1]],[1,1,2023,"Boaz Barak: follow-up on watermark impossibility, stronger capabilities favour the watermark attacker in the limit",[1]],[1,1,2023,"FeiziSoheil: author thread: AI-text detectors fail under paraphrasing, with an impossibility bound and watermark spoofing",[1]],[1,1,2023,"ImAI_Eruel: Japanese comment that research finds even the best AI-text detectors barely beat random guessing",[1]],[1,1,2023,"ImAI_Eruel: Japanese commentary on 'Artificial Artificial Artificial Intelligence': 40-50% of crowd annotators may use LLMs",[1]],[1,1,2023,"Johan Ugander: Facebook 2010 fake-account story, zero-clustering outliers and simple signals beat fancy graph measures",[1,3]],[1,1,2023,"LiorOnAI: summary of the LLM watermark paper: detectable signal, 99% confidence on 23 words",[1]],[1,1,2023,"MassimoLaMorgia: USENIX Security '23 acceptance of the token-spammer, rug-pull and sniper-bot paper (first tweet of 4 only)",[1]],[1,1,2023,"MohitIyyer: co-author promotes NeurIPS poster on paraphrase attacks on AI-text detectors and retrieval defence",[1]],[1,1,2023,"Romain Lacombe: impossibility result for AI-generated text detection",[1]],[1,1,2023,"Sonja Bjelobaba: testing AI-text detection tools; do not accuse students based on them",[1]],[1,1,2023,"TFoltynek: co-author: test of 14 AI-text detection tools on 54 documents finds no easy solution",[1]],[1,1,2023,"Veronica Valeros: LLMs generate engaging honeypot environments on the fly",[1]],[1,1,2023,"_stakaya: Japanese summary, AI text detectors barely beat random against strong language models",[1]],[1,1,2023,"abacusai: DetectGPT presented as a promising way to tell whether a human or a machine wrote content",[1]],[1,1,2023,"ai_database: Japanese summary of the MTurk study finding 33-46% of crowd workers used LLMs",[1]],[1,1,2023,"arankomatsuzaki: DetectGPT, zero-shot machine-generated text detection from log-probability curvature",[1]],[1,1,2023,"arankomatsuzaki: paper summary, LLM watermarks stay detectable as more text is observed",[1]],[1,1,2023,"arankomatsuzaki: restatement of 'A Watermark for Large Language Models' (statistical test, OPT)",[1]],[1,1,2023,"bang_an_: co-author claims AI-generated text should always be detectable with enough samples",[1]],[1,1,2023,"bweintraub34: author promotes a guest blog post on Theft-as-a-Service on Ethereum and points to the paper",[1]],[1,1,2023,"emollick: AI text detectors are easy to defeat and have high false-positive rates on non-native English writers",[1]],[1,1,2023,"emollick: no current way to detect AI-generated content, detectors have high false positives, do not ask ChatGPT",[1]],[1,1,2023,"emollick: opinion post on the MTurk study estimating 33-46% of crowd workers used LLMs",[1]],[1,1,2023,"emollick: opinion: another paper shows AI plagiarism detectors do not work; do not use them",[1]],[1,1,2023,"emollick: opinion: reliable AI-text detection is impossible; detectors have high false positive rates",[1]],[1,1,2023,"furongh: AI-generated text is almost always detectable given enough samples; AUROC bound rises exponentially to 1 with sample count",[1]],[1,1,2023,"furongh: congratulates UMD colleagues on the ICML 2023 outstanding paper award for the LLM watermark paper",[1]],[1,1,2023,"james_y_zou: co-author: GPT detectors flag over half of non-native English writing as AI and miss polished GPT text",[1]],[1,1,2023,"johnjnay: summary of 'LLM-generated text cannot be reliably detected': paraphrasing and watermark spoofing",[1]],[1,1,2023,"jwkirchenbauer: the LLM watermark work centres minimising false positives; worry about GPTZero claims",[1]],[1,1,2023,"k_saifullaah: co-author: LLM watermarks survive human and GPT paraphrase, detectable in about 800 tokens",[1]],[1,1,2023,"kalpeshk2011: author thread: DIPPER paraphrases drop AI-text detection below 10%; retrieval defence recovers 80-97%",[1]],[1,1,2023,"m_arinell_a: co-author points to the 'demystifying misconceptions' social-bot preprint as a counterweight",[1]],[1,1,2023,"manoelribeiro: an estimated 33-46% of MTurk workers used LLMs in a summarisation task, found with a task-specific classifier",[1]],[1,1,2023,"myamada0: Japanese post recommending the LLM watermark paper as teaching material for hypothesis testing",[1]],[1,1,2023,"oepopoola: 14 AI-text detectors tested on a gold-standard set, none good enough for education",[1]],[1,1,2023,"omarsar0: paper-share: DetectGPT detects machine text zero-shot from model log probabilities",[1]],[1,1,2023,"ono_shunsuke: Japanese summary of the LLM watermark paper: green-list tokens, 99% confidence from 23 words",[1]],[1,1,2023,"oran_ge: Chinese commentary: 33-46% of MTurk summarisation workers estimated to use LLMs",[1]],[1,1,2023,"s_cresci: six misconceptions in social bot research, starting with 'bot detection is a solved task'",[1]],[1,1,2023,"shangbinfeng: co-author says Twitter bot detectors are not robust to large-scale feature tampering",[1]],[1,1,2023,"smalkalbani: Arabic commentary: no reliable detector yet for text from ChatGPT-4, Bing or Bard",[1]],[1,1,2023,"svpino: much online content will come from ChatGPT, and DetectGPT looks promising",[1]],[1,1,2023,"thegautamkamath: ICML 2023 outstanding paper for 'A Watermark for Large Language Models'; practicality debated",[1]],[1,1,2023,"tomgoldsteincs: LLM watermarks survive GPT paraphrasing and grad-student rewriting, detectable after ~500 and ~1100 tokens",[1]],[1,1,2023,"yang3kc: fox8, a 1,140-account LLM-powered crypto botnet found by searching 'as an AI language model', which Botometer and AI-text detectors",[1]],[1,1,2024,"A_v_i__S: co-author answers early doubts that Binoculars works; asserts it holds across data sources",[1]],[1,1,2024,"Andrew Gray: word-frequency evidence for LLM-derived text in upwards of 60,000 scholarly papers in 2023",[1]],[1,1,2024,"DimitrisPapail: read and cite the three-author logits paper as parallel to Carlini's, which scooped it",[1]],[1,1,2024,"Federico_Cinus: new paper exposing cross-platform coordinated campaigns during the 2024 US election",[1]],[1,1,2024,"FractalZucky: co-author points to findings on cross-platform coordinated activity before the 2024 US election",[1]],[1,1,2024,"GengMingmeng: author announces a quantitative estimate of ChatGPT's effect on academic writing style",[1]],[1,1,2024,"Jan Lause: LLM-style words in 10% of 2024 PubMed abstracts and up to 30% in some subfields",[1]],[1,1,2024,"LiamDugan_: author thread: RAID benchmark of 6M+ generations shows AI-text detectors remain brittle",[1]],[1,1,2024,"LucaLuceri: acceptance announcement at TheWebConf for the coordinated-activity paper, no findings stated",[1]],[1,1,2024,"Misha Teplitskiy: many CS peer reviews are (almost surely) written with GPT",[1]],[1,1,2024,"Nikola Jovanovic: watermark stealing at ICML and new work on black-box detection of LLM watermarks",[1]],[1,1,2024,"RetractionWatch: Retraction Watch relays estimate that at least 60,000 papers in 2023 were LLM-assisted",[1]],[1,1,2024,"Shayne Longpre: presenting Consent in Crisis at NeurIPS 2024",[1]],[1,1,2024,"Weixin Liang: 'pivotal', 'intricate', 'realm', 'showcasing' mark rising LLM use in arXiv papers",[1]],[1,1,2024,"amritsinghbedi3: co-author ties SynthID paraphrase weakness to the possibility paper's token-count result",[1]],[1,1,2024,"arankomatsuzaki: paper-share: academics now use 'significantly' significantly more often after ChatGPT",[1]],[1,1,2024,"emollick: 60,000+ papers in 2024 show AI writing, which he argues is not necessarily bad or fraudulent",[1]],[1,1,2024,"emollick: skeptical take on a new AI-text detector: careful on false positives, untested against easy edits",[1]],[1,1,2024,"ezequiel_loplop: co-author shares El Pais coverage on humans adopting words popularised by ChatGPT",[1]],[1,1,2024,"hippopedoid: excess-vocabulary analysis of 14M PubMed abstracts puts LLM-processed 2024 abstracts at 10% or more, up to ~35% in subsets",[1]],[1,1,2024,"i_amanchadha: survey on AI-generated text forensic systems (detection, attribution, characterization)",[1,11]],[1,1,2024,"imVinusankars: author: text detectors' false positives rise as they are trained to resist paraphrasing",[1]],[1,1,2024,"james_y_zou: author thread: ~17% of recent CS arXiv papers substantially LLM-modified, ~8% of bioRxiv",[1]],[1,1,2024,"jonasricker: author: large-scale case study of AI-generated faces in Twitter profile images accepted at RAID 2024",[1,3]],[1,1,2024,"kornaropoulos: Mantis hacks back LLM attackers with decoys that feed them defensive prompt injections",[1,2]],[1,1,2024,"liang_weixin: announcing Monitoring AI-Modified Content at Scale, a case study on ChatGPT in AI conference peer reviews",[1]],[1,1,2024,"mahler83: Korean walkthrough of estimating LLM-written share of ML conference reviews (7-15%)",[1]],[1,1,2024,"manoelribeiro: co-author thread: about 15.8% of ICLR reviews AI-assisted, with higher scores and acceptance",[1]],[1,1,2024,"markcmarino: co-author: 'sleeper' social bots blended into conversations and college students could not tell them apart",[1,0]],[1,1,2024,"matsuikentaro1: Japanese review of Kobak et al. excess-vocabulary study on 14M PubMed abstracts",[1]],[1,1,2024,"mattf1n: author thread: LLM outputs span an embed-size subspace, giving gpt-3.5-turbo's size (4096) and API signatures",[1]],[1,1,2024,"russogiusep: first author on AI-assisted ICLR reviews raising acceptance odds, with a lookup tool",[1]],[1,1,2024,"shriver_light: Japanese paper-share: statistical analysis of phrases rising in papers since LLMs",[1]],[1,1,2024,"skalskip92: study of ChatGPT's impact on AI conference peer reviews; LLM-favoured words surged in 2024",[1]],[1,1,2024,"tugrulcanelmas: ICWSM acceptance of 'Coordinated Reply Attacks in Influence Operations: Characterization and Detection'",[1]],[1,1,2024,"yang3kc: MIT Technology Review story features 'our work' on AI-powered social bots",[1,3,0]],[1,1,2024,"yang3kc: first-author thread: about 10k daily active Twitter accounts use GAN-generated faces",[1,3]],[1,1,2025,"AndrewCurran_: r/changemyview users were persuaded by undisclosed research bots in a secret experiment, and the bots were never detected",[1]],[1,1,2025,"CaoHancheng: co-author shares study estimating LLM-assisted writing across complaints, press releases, job posts and UN releases",[1]],[1,1,2025,"GengMingmeng: 'Human-LLM Coevolution', word frequencies in arXiv abstracts as evidence of LLM influence",[1]],[1,1,2025,"GengMingmeng: co-author shares 'Wikipedia in the Era of LLMs', reporting a 1-2% LLM impact in some categories",[1]],[1,1,2025,"GengMingmeng: co-author: LLM-text detectors are misunderstood because 'LLM-generated text' lacks a definition",[1]],[1,1,2025,"LevinBrinkmann: 'delve' use rose in free YouTube conversations, a sign of machine-to-human cultural transfer",[1]],[1,1,2025,"LucaLuceri: co-author announces the WebConf poster on cross-platform coordinated inauthentic activity",[1]],[1,1,2025,"LucaLuceri: framework for detecting coordinated inauthentic behaviour on TikTok",[1]],[1,1,2025,"N3mes1s: after Anthropic's report of an AI-run cyberattack, calls to productize Mantis prompt-injection counter-defence",[1]],[1,1,2025,"ZSourati: first author: LLMs make writing more uniform and shift how personal traits appear",[1]],[1,1,2025,"emollick: highlights per-model giveaway words that distinguish LLMs from each other",[1]],[1,1,2025,"im_td: contrasts a conference ban on GenAI reviewing with ICLR's stance and points to work on AI-assisted reviews",[1]],[1,1,2025,"johannes_wachs: author thread: ~30% of US developers' Python functions on GitHub AI-generated by end-2024",[1]],[1,1,2025,"matsuikentaro1: ChatGPT-favoured words like 'delve' rose in arXiv abstracts, then fell after March 2024",[1]],[1,1,2025,"nukonuko: Japanese summary: expert humans who use LLMs detect AI-written articles, 299 of 300",[1]],[1,1,2025,"quarbby: a social cyber geography of country-affiliated bots in a year of coronavirus discussion",[1]],[1,1,2025,"tszzl (roon): current AI text is detectable and labs could do better than Pangram",[1]],[1,1,2026,"'Sidhu: crawler tolls incentivize identification but user-agent strings are",[1]],[1,1,2026,"Agent subdomains as a traffic-separation pattern",[1]],[1,1,2026,"AnthropicAI: announces its most detailed threat intelligence report, covering disrupted misuse of Claude for cyberattacks, influence operati",[1]],[1,1,2026,"Asymmetric Security: 48-hour investigation of rogue OpenAI agent activity; CDC, IEA, Mayo Clinic probed; ntfy exfiltration and private urlqu",[1,0]],[1,1,2026,"Curran: 'agent acausal coordination', personal-finance agents moving in unison without messages, Apollo's agentic bank run note and Gensler ",[1,0,7]],[1,1,2026,"DFIR Radar: PaperPhone clustering via timing, infrastructure and browser contradictions",[1]],[1,1,2026,"Dunn: Amazon blocking Muse, the merchant vs agent-builder standoff, and why blocking pushes agents to impersonate humans",[1,3]],[1,1,2026,"EARL_med_tw: Japanese explainer of green-list token watermarking, prompted by Anthropic's plan to watermark Claude text",[1]],[1,1,2026,"Evidence standards for tracing electoral influence operations",[1]],[1,1,2026,"Fischer: Burning Tokens, a 'Burning Man for agents' HTTP-GET text world, pitched as a future honeypot for rogue agents",[1,0]],[1,1,2026,"Giorgi: bursty agent inference and shared-prefix caching",[1]],[1,1,2026,"GlobalAffairs: X Safety reports a ~200,000-account suspected Chinese bot farm, 200 of whose accounts pushed AI data-center electricity-price",[1]],[1,1,2026,"Himanshi Lohchab (ET): Indian e-commerce firms preparing for swarms of consumer AI assistants, rethinking bot verification, pricing, fraud l",[1,0]],[1,1,2026,"Hind (Lorikeet): launch of agent traffic detection for customer support; up to 3% of inbound support traffic is from AI agents",[1]],[1,1,2026,"JiahuaJavaXu: co-author announces WebConf paper on detecting and avoiding manipulative meme-coin trading bots",[1,0]],[1,1,2026,"Jurly: OpenAI-linked agents scanned a UN trade API 16,500+ times via urlquery, httpbin, Google's XSS game and double URL encoding (summary o",[1,0]],[1,1,2026,"Long excerpt of WSJ 'Meet the Swarm Chasers' (McMillan, 2026-10-03): Swarmchasers Discord, Nightingale's 19,000 agent messages, ~1M breadcru",[1,0]],[1,1,2026,"Nikita Bier (X): bot detection and human verification will be urgent as agent swarms 'suffocate every website and form'; X built its own sta",[1,3]],[1,1,2026,"Ninety-eight-day log of AI crawler traffic and honeypot engagements",[1]],[1,1,2026,"Public AI crawler honeypot with rolling logs and salted IP hashes",[1]],[1,1,2026,"RO1: detector-based AI web-text estimate and synthetic-data training costs",[1]],[1,1,2026,"Replace bot detection with delegated agent credentials",[1,3]],[1,1,2026,"Samuele Marro: agent-permissions.json, a robots.txt for how AI agents may interact with web pages",[1,0,3]],[1,1,2026,"Sarkar: paid crawler access is not abuse defense or extraction efficiency",[1]],[1,1,2026,"Sarkar: the anti-bot stack vs AI agents, Cloudflare crawler numbers, and a pitch for self-healing scrapers (DeepScrape)",[1]],[1,1,2026,"Speculative Safety Honeypot for multi-turn LLM agent attacks",[1,0]],[1,1,2026,"Steven Lim: KQL hunting query for Microsoft 365 activity from OpenAI egress IP ranges, after the OpenAI agent wiki incident",[1]],[1,1,2026,"acnwala: author announces WebSci'26 paper on using behaviour change to identify social media manipulation",[1]],[1,1,2026,"appledog_xyz: one operator running 30 to 60 near-identical Polymarket maker-rebate wallets with the same split-quote-merge script",[1,3]],[1,1,2026,"chiefofautism: 1,184 malicious skills on OpenClaw's ClawHub, the #1 skill was malware that stole keys and opened reverse shells",[1,3,2]],[1,1,2026,"daveholtz: Moltbook working paper, 93.5% of agent comments get zero replies and conversations max out at depth 5",[1,0]],[1,1,2026,"dschwarz26: hundreds of coordinated bot accounts farmed FutureSearch credits to build a ~300-node critical-minerals model, likely an agent s",[1,3,0]],[1,1,2026,"joshua_saxe: eleven-step scenario for an exponentially self-replicating AI agent botnet that steals inference and evades detection",[1,2,0]],[1,1,2026,"kimmonismus relays FT report: Asymmetric Security says OpenAI agents pulled data from 55 sites (CDC, SEC, IEA) using temp inboxes, private a",[1,0]],[1,1,2026,"kunmukh: MoltGraph, a longitudinal temporal graph dataset of Moltbook for coordinated-agent detection, accepted to the 1st ACM Conference on",[1]],[1,1,2026,"levelsio: blocks over 6 AI reply bots a day, almost 200 a month, up from a few a week last year",[1]],[1,1,2026,"levelsio: chart of his manual AI-reply blocks shows exponential growth, which he attributes to OpenClaw",[1]],[1,1,2026,"m1ssuo: Chinese note that endpoint fingerprint testing is easy and LLMmap lacks claude-opus-4.6",[1]],[1,1,2026,"nash_su: Chinese-language commentary on a study finding nearly half of 17 LLM API relay services fail model-identity tests",[1]],[1,1,2026,"park_jinwoo: Korean thread: AI detectors, a Goncourt-season accusation, and bias against non-native writers",[1]],[1,1,2026,"tenobrus: reading of the Hugging Face incident as a weeks-long agent messageboard that rebuilt itself within a day of deletion; opinion on a",[1,2,0]],[1,1,2026,"untrace network: request-origin visibility as an agent accountability requirement",[1]],[1,2,2020,"abdul_sa1615: co-author announces the Moving Target Defence survey's acceptance at IEEE Communications Surveys and Tutorials",[2]],[1,2,2020,"sailiks: survey of moving target defences, categorisation, threat models and evaluation metrics",[2]],[1,2,2021,"martinkl: talk on Byzantine Eventual Consistency now online",[2,7,3]],[1,2,2022,"HenrikPlate: co-author links the open-source supply-chain attack taxonomy and its Risk Explorer site",[2,11]],[1,2,2022,"Mitchnw: author thread on model soups: averaging fine-tuned weights, greedy soup, 90.98% ImageNet",[2]],[1,2,2022,"Sepp Hochreiter: model soups, averaging fine-tuned models finds flat minima and reaches 90.94% ImageNet top-1",[2]],[1,2,2022,"gabriel_ilharco: author thread: task vectors, editing models by adding and subtracting fine-tuning weight deltas",[2]],[1,2,2022,"hardmaru: shares 'model soups': averaging fine-tuned weights improves accuracy at no inference cost",[2]],[1,2,2022,"hillbig: model soups average fine-tunes that land in one basin, improving generalisation and robustness",[2]],[1,2,2023,"DrIngEndres: co-author collects press coverage of the indirect prompt injection paper",[2,0]],[1,2,2023,"John Nay: digest of the indirect prompt injection paper on app-integrated LLMs",[2,0]],[1,2,2023,"KGreshake: indirect prompt-injection data exfiltration was reported to OpenAI in March 2023 and treated as wontfix",[2,0]],[1,2,2023,"Nabil Alouani: indirect prompt injection turns Bing Chat into a social engineer that exfiltrates personal data",[2,0]],[1,2,2023,"charlespacker: MemGPT gives fixed-context LLMs OS-style virtual memory that the model pages itself",[2,0]],[1,2,2023,"iScienceLuvr: restatement of MemGPT: an LLM managing its own tiered memory like an operating system",[2,0]],[1,2,2023,"moreisdifferent: model soups trick is surprising; Oracle uses it in multimodal model development",[2]],[1,2,2023,"nearcyan: indirect prompt injection lets a website Bing Chat reads rewrite the agent's goals",[2,0]],[1,2,2023,"omarsar0: paper on adversarial prompting and attack vectors for LLMs with retrieval and API calls",[2,0]],[1,2,2023,"sahar_abdelnabi: co-author announces a major update to the indirect prompt injection paper",[2,0]],[1,2,2023,"thorstenholz: co-author introduces indirect prompt injection against retrieval and API-augmented LLMs",[2,0]],[1,2,2024,"AnthropicAI: Sleeper Agents, backdoored LLMs keep triggered behaviour through SFT, RL and adversarial safety training",[2]],[1,2,2024,"Evan_Lin: Chinese note that Sleeper Agent LLMs, trending on Hacker News, might promote ideas and shape what we see as normal",[2]],[1,2,2024,"MariusHobbhahn: AI control should be a core pillar of AI safety and is now his default research recommendation",[2,0]],[1,2,2024,"NeilGong: formalizing and benchmarking prompt injection attacks and defenses accepted at USENIX Security 2024",[2]],[1,2,2024,"OpenAI: OpenAI announces the Instruction Hierarchy for robustness to prompt injection",[2]],[1,2,2024,"Shota Imai (Japanese): OpenAI's instruction hierarchy paper trains LLMs to prioritise privileged instructions",[2]],[1,2,2024,"TianyuPang1: Agent Smith, a single image can jailbreak one million multimodal LLM agents exponentially fast",[2,0]],[1,2,2024,"binitamshah: link roundup on indirect prompt injection, plugin data exfiltration and a universal jailbreak",[2]],[1,2,2024,"casdewitt: presenting the paper 'Secret Collusion among AI Agents' (steganographic collusion) at NeurIPS'24",[2,3]],[1,2,2024,"ddkang: InjecAgent benchmarks LLM agents against indirect prompt injection with 1,054 cases",[2]],[1,2,2024,"haileysch__: quotes the Sleeper Agents paper on hidden backdoors; no defence for pretraining poisoning yet",[2]],[1,2,2024,"iScienceLuvr: Sleeper Agents recap, backdoored LLMs that switch to writing vulnerable code survive RL, SFT and red-teaming",[2]],[1,2,2024,"jinghuai_zhang: BadMerging, one compromised model can backdoor any task of a merged model (CCS 2024)",[2]],[1,2,2024,"ke_li_2021: new paper quantifies 'persona drift', chatbots wandering from their initial instructions, and proposes mitigations",[2]],[1,2,2024,"zodiacJRH: merging a backdoored model with other homogeneous models removes the backdoor without training data",[2]],[1,2,2025,"FazlBarez: asks whether rare 'divergence tokens' explain narrow-finetuning backdoors, citing his own hidden-bias transfer paper",[2]],[1,2,2025,"bibryam: one-line endorsement of 'Patterns for securing agents against prompt injection'",[2,0]],[1,2,2025,"edoardo_debe: CaMeL paper updated with results on new models and code released",[2]],[1,2,2025,"lbeurerkellner: in CaMeL, data flow can turn into control flow when the planner writes an interpreter over tools",[2]],[1,2,2025,"ponguru: announcing Great Models Think Alike and this Undermines AI Oversight",[2,0]],[1,2,2025,"redwood_ai: release of 'Ctrl-Z: Controlling AI Agents via Resampling', AI control in a command-line agent setting",[2]],[1,2,2025,"sajjad__zafar: opinion post citing Sleeper Agents to back the risk of backdoored open-weight models",[2]],[1,2,2025,"simonw: the Lethal Trifecta, private data + untrusted content + external communication lets an attacker steal data from a tool-using agent",[2]],[1,2,2026,"AndrewCurran_: Andrew Yang's 'bots planted self-replicating prompts' claim matches an OpenAI report on self-replicating prompt injections in",[2,1]],[1,2,2026,"Bravish: Tracekit, a local policy gate plus SHA-256 hash-chained ledger and intent-vs-action cross-check for coding agents and their sub-age",[2]],[1,2,2026,"Hazem Omier on CARBONATO: a persona file (SOUL.md) rewritten by malware is a remote control plane; treat persona files like secrets",[2,1]],[1,2,2026,"MWeckbecker: how Thought Virus differs from the 'mind virus' paper, subliminal tokens versus plain-English persuasion",[2,0,1]],[1,2,2026,"MrJiangLife: agent memory has a trust problem; a memory write is a trust transition",[2]],[1,2,2026,"Rooke Poole: Semantic Backtracking Injection (SBI), multi-hop retrieval poisoning measured in the Venom test harness",[2,0]],[1,2,2026,"Sarang Mahatwo: session history vs long-term memory on Gemini Enterprise Memory Bank; consolidation scope and memory poisoning as governance",[2,0]],[1,2,2026,"Tom Maiaroto: announcing phosphor's memory-poisoning defences (secret scan, human review levels, HMAC on memory entries)",[2]],[1,2,2026,"aimalysheva: task arithmetic shows fine-tuning deltas add and subtract like vectors; mergeability without a shared init is open",[2]],[1,2,2026,"cheese_cakee_9: AI control reading list from a MATS application, opening with the foundational control paper",[2,0]],[1,2,2026,"conitzer: interleaving tokens from multiple LLMs can be somewhat robust even when a majority is corrupted",[2,0]],[1,2,2026,"sahar_abdelnabi: major update to 'Firewalls to Secure Dynamic LLM Agentic Networks'",[2,0]],[1,2,2026,"xwang_lk: Xin Eric Wang notes AI agents on moltbook discussing his Group-Evolving Agents paper",[2,0]],[1,3,2014,"alexvespi: shares the 'rise of social bots' paper on bots endangering online ecosystems",[3,1]],[1,3,2017,"SarahJamieLewis: Loopix's '3rd party anonymity' is interesting but its comparison table feels disingenuous",[3]],[1,3,2019,"unignorant: Flash Boys 2.0 is well written, and the Nash exchange avoids the DEX problems it describes",[3]],[1,3,2020,"Divya Siddarth: CoinDesk piece on privacy-preserving, human-centred identity as protection against identity fraud",[3]],[1,3,2020,"martinkl: new paper on Git-like hash graphs, Bloom filters and Sybil-immune peer-to-peer sync",[3,2]],[1,3,2020,"santisiri: proof-of-personhood survey preprint comparing Idena, Kleros, Democracy Earth, Upala and BrightID",[3]],[1,3,2021,"lucacarlone1: survey on resilience in multi-robot systems, with a taxonomy and open problems",[3,6,11]],[1,3,2023,"Max Resnick: contingent fees in order flow auctions turn bids into strike prices and can unravel",[3]],[1,3,2024,"AlfonAmayuelas: adversarial agents in multi-LLM debate cut collaborative accuracy by 10-40%",[3,0,2]],[1,3,2024,"AriJuels: TEEs privately break the assumption that one individual controls a private key (Liquefaction)",[3]],[1,3,2024,"IasonGabriel: recommends Chan et al. on robust agent identifiers and Kolt on AI agents and agency law",[3,0]],[1,3,2024,"Istvan Seres: Ethereum validators can be linked from IP address to ETH address by any minimally sophisticated party",[3,1]],[1,3,2024,"KevinTFrazier: endorsement of the GovAI paper on visibility into AI agents",[3,0]],[1,3,2024,"_achan96_: visibility into AI agents via agent identifiers, real-time monitoring and activity logs (FAccT paper thread)",[3,1,0]],[1,3,2024,"arankomatsuzaki: restatement of 'Breaking reCAPTCHAv2': 100% of challenges solved vs 68-71% in prior work",[3,1]],[1,3,2024,"convoluted_code: updated analysis of six major airdrops finds recipients sell quickly",[3]],[1,3,2024,"iruletheworldmo: 'well. well. well.' reaction post linking the personhood credentials paper",[3]],[1,3,2024,"johnnatan_me: presented the airdrop paper at EthCC",[3]],[1,3,2024,"kakia1989: the only non-wasteful, incentive compatible and Sybil-proof mechanism is a second price auction",[3]],[1,3,2024,"yugen_matuni: Japanese speculation that the personhood-credentials paper hints OpenAI's Strawberry is hard to tell from humans",[3,1]],[1,3,2024,"zhitzig: new paper on personhood credentials, quoting Microsoft Research on proving you are not a bot",[3]],[1,3,2025,"Alan Chan: research agenda for agent infrastructure, protocols outside agents that tie them to legal identities and mediate their interactio",[3,0]],[1,3,2025,"PhalaNetwork: Phala announces the dstack whitepaper on making TEE hardware a zero-trust platform",[3]],[1,3,2025,"ghadfield: AI agents are being given wallets and transactions, so agent infrastructure is needed now",[3,0]],[1,3,2025,"kakia1989: updated Sybil-proof paper shows Bayesian Sybil-proof mechanisms need not allocate to the highest bidder",[3]],[1,3,2025,"markowifk: Oasis says it is unaffected by another TEE vulnerability and is adding proof of cloud for data-center provenance",[3]],[1,3,2026,"Armeanio: cheap AI identities versus scarce proof-of-work influence",[3]],[1,3,2026,"Caesar jn: privacy-preserving personhood rather than identity disclosure",[3]],[1,3,2026,"CuratedApes x CyberThrone: wallet-cluster Sybil filtering for an NFT mint (wallets that transact together treated as one)",[3,1]],[1,3,2026,"Human Passport: verify wallet humanity before distributing rewards",[3]],[1,3,2026,"Insecure Agents podcast: 'From Pets to Cattle' panel on agent identity on the web (Keycard, Browserbase, Visa): Web Bot Auth, Trusted Agent ",[3,1,0]],[1,3,2026,"Ryder: failed Solana arbitrage retries as incentive-driven bot traffic",[3]],[1,3,2026,"Zing_Xoro: agent identity as hardware-bound enrollment (TPM / secure enclave) to raise Sybil cost",[3,0]],[1,3,2026,"alex.korn: four personhood-credential risks beyond bot detection",[3]],[1,3,2026,"hassankhan96452: websites cannot tell a customer's agent from a scraper; agents should prove operator, authorising user and permissions (Met",[3,1]],[1,3,2026,"heisblesse: 'Can AI agents build reputation?' ERC-8004 identity vs reputation registries, with Sybil distortion acknowledged (B.AI campaign ",[3]],[1,3,2026,"kakia1989: paper on timing games in backrunning transaction sending accepted at ACM EC'26",[3]],[1,4,2023,"Ezequiel Ferrero: honeybee-like collective decision making in a kilobot swarm",[4,6]],[1,5,2019,"vishuguttal: co-author announces 'Noise-Induced Schooling of Fish'",[5,9]],[1,5,2023,"Romu_PS: co-author announces paper on social interactions and leadership in schooling fish",[5,4]],[1,5,2023,"Romu_PS: new paper, self-similar avalanches in schooling fish",[5,9]],[1,5,2023,"conorheins: author thread: collective motion from surprise minimisation by active inference agents",[5,4,9]],[1,5,2023,"introspection: Guillaume Dumas flags 'Collective Behavior from Surprise Minimization' (Couzin meets Friston)",[5,4]],[1,5,2024,"DynamicsSIAM: SIAM dynamical-systems group shares Volkening's survey of methods to quantify self-organization",[5,9,11]],[1,5,2026,"DynamicsSIAM: SIAM DS account quotes the abstract of a review on statistical physics of fish schools",[5,9]],[1,6,2024,"dgarzonramos: author: designing robot swarms is part puzzle, part problem (ICRA@40 short paper)",[6,11]],[1,6,2025,"mdiberna: co-author announces paper bridging control theory and statistical physics for shepherding decisions",[6,10,4]],[1,6,2025,"realyunlong: co-author promotes vision-based drone swarm flight at 20 m/s with no communication on a $21 computer",[6,8,5]],[1,7,2021,"SarahAzouvi: author: single secret leader elections versus probabilistic leader election in proof of stake",[7,3]],[1,7,2023,"DynamicsSIAM: pointer to the 'Adaptive Dynamical Networks' review, quoting its abstract",[7]],[1,7,2024,"Simone Scardapane: Artificial Kuramoto Oscillatory Neurons, Kuramoto layers that show object binding",[7]],[1,7,2024,"hillbig: Japanese commentary on AKOrN: Kuramoto-oscillator neurons for binding, segmentation and Sudoku",[7]],[1,7,2024,"wellingmax: Max Welling promotes AKOrN, networks of generalised Kuramoto oscillators replacing threshold units",[7]],[1,8,2016,"iassael: co-author announces learned differentiable communication protocols in multi-agent RL",[8]],[1,8,2016,"j_foerst: author announces differentiable communication between learning agents",[8]],[1,8,2016,"soumithchintala: shares 'Learning Multiagent Communication with Backpropagation'",[8]],[1,8,2017,"NandoDF: praise for 'Emergence of Grounded Compositional Language'",[8]],[1,8,2017,"awjuliani: weekend reimplementation of DeepMind's sequential social dilemma paper with block monsters and bananas",[8]],[1,8,2017,"ryan_t_lowe: co-author points to the OpenAI blog post and paper on multi-agent actor-critic (MADDPG)",[8]],[1,8,2017,"shimon8282: counterfactual multi-agent policy gradients for credit assignment in StarCraft",[8]],[1,8,2018,"GoogleDeepMind: link post for 'Intrinsic Social Motivation via Causal Influence in Multi-Agent RL'",[8,9]],[1,8,2018,"NandoDF: co-author shares 'Intrinsic Social Motivation via Causal Influence in Multi-Agent RL'",[8]],[1,8,2018,"_samvelyan: co-author shares the camera-ready of QMIX, accepted at ICML 2018",[8]],[1,8,2018,"aggielaz: causal influence as a social reward yields prosociality and emergent communication in multi-agent RL",[8,9]],[1,8,2018,"caglarml: co-author note on multi-agent RL with a social intrinsic reward",[8,9]],[1,8,2018,"ml_review: paper alert for DGN, graph convolutional RL for multi-agent cooperation",[8]],[1,8,2018,"natashajaques: co-author: rewarding causal influence over other agents boosts cooperation and emergent communication",[8,9]],[1,8,2018,"shimon8282: Shimon Whiteson introduces QMIX, monotonic value factorisation for decentralised team policies",[8]],[1,8,2018,"tkipf: pointer to graph convolutional networks with multi-head attention for multi-agent RL",[8]],[1,8,2019,"GoogleDeepMind: DeepMind announces the autocurricula manifesto for multi-agent intelligence research",[8]],[1,8,2019,"pablohleal: survey and critique of multiagent deep RL accepted at the AAMAS journal",[8]],[1,8,2019,"whi_rl: SMAC, the StarCraft Multi-Agent Challenge, released with the PyMARL framework",[8]],[1,8,2020,"Toryn Schafer: Bayesian inverse reinforcement learning for collective animal movement",[8,5]],[1,8,2021,"EugeneVinitsky: evidence keeps accumulating that PPO is a good algorithm for cooperative MARL",[8]],[1,8,2021,"jzl86: Joel Leibo announces Melting Pot, a suite testing how MARL populations generalise to new social situations",[8]],[1,8,2022,"EugeneVinitsky: recommends 'Autocurricula and the Emergence of Innovation from Social Interaction' as a blue-sky MARL vision",[8]],[1,8,2026,"aimalysheva: multi-agent RL starter pack of five papers, RIAL/DIAL first",[8]],[1,8,2026,"tweetsatpreet: virtual weakly electric fish trained with RL show biological signalling statistics and an emergent pecking order",[8,4]],[1,9,2017,"jlizier: new paper on informative and misinformative interactions in a school of fish",[9,5]],[1,9,2018,"ricard_sole: recommends a review on why living systems sit near criticality",[9]],[1,9,2018,"wbialek: renormalization-group approach to large populations of neurons",[9]],[1,9,2020,"INemenman: latent dynamical stimuli explain the RG scaling seen in hippocampal recordings",[9]],[1,9,2020,"_fernando_rosas: information-theoretic causal emergence from data, confirmed in Game of Life and flocking",[9,5]],[1,9,2021,"Fernando Rosas: review of the information-decomposition approach to causal emergence",[9]],[1,9,2021,"erikphoel: macroscales convert information into synergy, shown with a synergy-bias measure on Boolean networks",[9]],[1,10,2021,"RicardAlert: author: review of active turbulence, classes of active chaotic flows and their scaling laws",[10,5]],[1,10,2022,"demian_levis: co-author shares a perspective article on chiral active matter",[10,5,7]],[1,10,2023,"AllLivingActive: programmable wheeled robots that reproduce active Brownian, run-and-tumble and Brownian motion",[10,6]],[1,10,2023,"TheSquishyLab: chemotaxis competes with motility-induced phase separation in active matter (8-tweet tweetorial)",[10]],[1,10,2026,"tzerhan29: author: 'Three phases of odd robotic matter', robotic swarms as a state of matter",[10,6]],[1,11,2022,"gklambauer: pointer to Rich Sutton's 'new take on AI research' (the Alberta Plan)",[11]],[1,11,2023,"RichardSSutton: DeepMind closes its Edmonton office; he is more focused than ever on the Alberta Plan",[11]],[1,11,2026,"AI Digest announces the AI Village x Grove Research AI Swarm Dynamics Hackathon (Oct 3-4, $3,000, village transcripts as testbed)",[11,0]],[1,11,2026,"AI Digest promo: 'How much agent swarm activity goes unnoticed?' (hackathon reminder)",[11,1]],[1,12,2021,"hardmaru: survey of work combining deep learning with complex systems, swarm intelligence and self-organisation",[12,8]],[1,12,2023,"jakub_kudela: author says much evolutionary-computation work is useless, pointing to his benchmarking critique",[12,11]],[1,13,2018,"agrimgupta92: code release for the Social GAN trajectory-prediction paper (CVPR 2018)",[13,5]],[1,13,2018,"kyoun: Japanese summary of Social GAN for socially plausible multi-person trajectory prediction",[13,5]],[1,15,2026,"Henry demonstrates Jev continent and country maps",[15,0]],[1,15,2026,"Karpathy discusses text-coordinate land/water maps",[15,0]],[2,0,2019,"VirtualHome: multi-agent household activity simulator driven by programs (Unity), v2.3 with procedural generation",[0]],[2,0,2022,"Arbiter: Rust actor framework for event-driven, strongly typed multi-agent simulation and networked systems",[0]],[2,0,2023,"AI Town: deployable TypeScript/Convex starter kit for a Generative-Agents-style town",[0]],[2,0,2023,"AgentTorch: differentiable, GPU-batched 'large population models' in PyTorch with LLM archetypes driving agent behaviour",[0,11]],[2,0,2023,"AgentVerse: OpenBMB framework for multi-LLM task-solving teams and custom simulation environments (classroom, Prisoner's Dilemma, Pokemon)",[0]],[2,0,2023,"AutoGen: multi-agent conversation framework (group chat, event-driven agent runtime), now in maintenance mode",[0]],[2,0,2023,"CAMEL: multi-agent framework from the 'scaling laws of agents' community (role-playing, societies, workforce, data generation)",[0]],[2,0,2023,"ChatArena: Farama multi-agent language-game environments for LLMs (deprecated August 2025)",[0]],[2,0,2023,"ChatDev 2.0 (DevAll): zero-code multi-agent orchestration platform, successor to the virtual software company",[0]],[2,0,2023,"Concordia: generative agent-based modelling with a Game Master that adjudicates natural-language actions",[0,4]],[2,0,2023,"CrewAI: role-based agent Crews plus event-driven Flows for multi-agent automation",[0]],[2,0,2023,"EconAgent: LLM households making monthly work and consumption decisions inside the AI Economist macroeconomic simulator",[0]],[2,0,2023,"GPTeam: early (2023) open-source multi-agent simulation of GPT-4 agents collaborating toward goals with memory and locations",[0]],[2,0,2023,"Generative Agents (Smallville): the 25-agent simulacra codebase from Park et al. 2023",[0,4]],[2,0,2023,"Inspect: UK AISI framework for LLM evaluations, agents, tools and sandboxes",[0,2,11]],[2,0,2023,"LangGraph: low-level stateful graph orchestration for long-running agents (durable execution, checkpoints, human-in-the-loop)",[0]],[2,0,2023,"MetaGPT: SOP-driven software-company multi-agent framework (Code = SOP(Team))",[0]],[2,0,2023,"Sotopia: open-ended social role-play environment with private goals and the SOTOPIA-Eval multi-dimensional judge",[0]],[2,0,2023,"Stable Alignment: 'Sandbox' social simulation of LLM agents rating each other, used to generate 169k alignment interactions",[0]],[2,0,2023,"WarAgent: LLM multi-agent simulation of historical world wars with country and secretary agents",[0]],[2,0,2023,"Welfare Diplomacy: general-sum Diplomacy variant plus LLM-agent scaffolding and exploiter agents for testing cooperative AI",[0,8,4]],[2,0,2024,"AgentScope: Alibaba's production agent framework (v2.0), pipelines, A2A, realtime voice; earlier versions advertised large-scale multi-agent",[0]],[2,0,2024,"Agentarium: Python framework for creating and orchestrating simulations populated by LLM agents",[0]],[2,0,2024,"Deliberate Lab: Google PAIR platform for real-time multi-party human + LLM group experiments",[0,4]],[2,0,2024,"GovSim: Governance of the Commons Simulation, LLM agent societies managing a shared renewable resource (fishery, pasture, pollution)",[0,4]],[2,0,2024,"MARBLE / MultiAgentBench: modular framework and benchmark for LLM multi-agent collaboration and competition with configurable coordination t",[0,4]],[2,0,2024,"MineLand: multi-agent Minecraft simulator with limited multimodal senses and physical needs, up to 48 agents (archived)",[0]],[2,0,2024,"MoA: Together Mixture-of-Agents implementation",[0]],[2,0,2024,"OASIS: open agent social-interaction simulator for up to one million LLM agents on Twitter/Reddit-like platforms",[0,4,7]],[2,0,2024,"OpenAI Swarm: educational multi-agent orchestration via Agents and handoffs (superseded by the Agents SDK)",[0]],[2,0,2024,"Paper list: LLM-empowered agent-based modeling and simulation (companion to Gao et al. 2024 survey)",[0,11]],[2,0,2024,"Project Sid: technical report repo for 10 to 1000+ agent Minecraft societies with the PIANO architecture (no code)",[0,4]],[2,0,2024,"RouteLLM: serving and evaluating LLM routers",[0]],[2,0,2024,"TextArena: gym-style suite of 100+ single, two and multi-player text games for evaluating and training LLM agents",[0,4]],[2,0,2024,"TinyTroupe: Microsoft's LLM-powered multi-agent persona simulation library (TinyPerson/TinyWorld)",[0]],[2,0,2024,"Werewolf Arena: Google framework for evaluating LLM social deduction in the game Werewolf with a bidding turn-taking mechanism",[0,1]],[2,0,2024,"Y Social: zero-code LLM-powered social media digital twin (microblog/forum) with recommender choices, Ollama/vLLM agents and an embedded ana",[0,1,3]],[2,0,2024,"elizaOS: TypeScript autonomous agent framework with multi-agent rooms and many platform connectors",[0]],[2,0,2024,"genagents: Stanford code for interview- or survey-grounded generative agents of individuals, with a 3,000-agent GSS demographic bank",[0]],[2,0,2024,"llm-agent-opinion-dynamics: scripts for simulating opinion dynamics with networks of LLM agents (Chuang et al., NAACL Findings 2024)",[0,7,4]],[2,0,2025,"AI Diplomacy: frontier LLMs as stateful agents playing full-press Diplomacy with negotiation, diaries and betrayal detection",[0,4]],[2,0,2025,"Agent-Kernel: microkernel framework for LLM social simulation with runtime agent addition/removal",[0]],[2,0,2025,"AgentSociety 2: LLM-native agent simulation platform for social-science experiments in urban environments (Ray-based, multiple reasoning rou",[0,13]],[2,0,2025,"AgentsNet: benchmark of LLM agents on a graph solving distributed-computing tasks (colouring, matching, leader election, consensus, vertex c",[0,7,4]],[2,0,2025,"Claude Agent SDK for Python: programmatic access to the Claude Code agent loop with tools, hooks and subagents",[0]],[2,0,2025,"Cultivation World Simulator: fully LLM-driven xianxia world simulator with rules engine and emergent ensemble narrative",[0]],[2,0,2025,"Deep Agents: opinionated agent harness on LangGraph with subagents, filesystem, shell, memory and skills",[0]],[2,0,2025,"Docent: Transluce's agent-transcript analysis platform (ingest, search and cluster transcripts; self-hostable)",[0,11]],[2,0,2025,"Google ADK 2.0: code-first agent framework with a graph workflow runtime and multi-agent composition",[0]],[2,0,2025,"Inspect Petri: auditor-target-judge agent for automated alignment auditing, built on Inspect",[0,1]],[2,0,2025,"Magentic Marketplace: simulate two-sided markets of LLM buyer and seller agents (Microsoft Research)",[0,3]],[2,0,2025,"Mesa-LLM: LLM-driven agents for Mesa models (reasoning modules, memory, tools, parallel async stepping)",[0,11]],[2,0,2025,"Microsoft Agent Framework: successor to AutoGen and Semantic Kernel for production multi-agent workflows in Python and .NET",[0]],[2,0,2025,"Microverse (KsanaDock): Godot 4 'god-sim' sandbox of LLM characters with memory, tasks and social relations (Stanford-town style)",[0]],[2,0,2025,"MiroFish: 'swarm intelligence' prediction engine that seeds an OASIS social simulation from documents and reports on it (75k stars)",[0]],[2,0,2025,"OpenAI Agents SDK: production multi-agent workflows with handoffs, agents-as-tools, guardrails, sessions, tracing and sandbox agents",[0]],[2,0,2025,"Ruflo (formerly claude-flow): meta-harness for Claude Code and Codex with '100+ agents' and 'coordinated swarms'",[0]],[2,0,2025,"SimWorld: Unreal Engine 5 city simulator for LLM/VLM agents with procedural generation and gym-like Python API",[0]],[2,0,2025,"SocioVerse: Fudan social-simulation 'world model' with a 10-million real-user pool; repo holds questionnaires and evaluation scripts, simula",[0]],[2,0,2025,"SwarmBench (YuLan-SwarmIntell): 2D grid benchmark of LLM agents on pursuit, synchronisation, foraging, flocking and transport with local vie",[0,5,12]],[2,0,2025,"TwinMarket: LLM-agent stock market simulation with social network, behavioural biases and order matching",[0,1]],[2,0,2025,"YuLan-OneSim: LLM social simulator with code-free scenario building, 50+ default scenarios and a distributed runtime claimed to reach 100,00",[0,4]],[2,0,2025,"factorio-learning-environment: Factorio as an LLM-agent eval with lab-play, open-play and a multi-agent mode",[0,14]],[2,0,2026,"'Width, Memory, and Delay: A Resource Accounting for the Limits of Flat Multi-Agent",[0,7]],[2,0,2026,"ACWorld: Agentic Commerce World, protocol-validated buyer/merchant market environment and benchmark",[0]],[2,0,2026,"Agentshire: OpenClaw/QClaw plugin that renders a user's AI agents as NPCs living in a 3D game town",[0]],[2,0,2026,"Alicization Town: decentralised pixel sandbox town where external coding agents join via MCP or a skill CLI (town look/walk/say)",[0]],[2,0,2026,"Brunnfeld: medieval village economy with up to 1000 LLM agents, hard supply chains, order book and council governance",[0]],[2,0,2026,"Emergence World: open data, agent profiles, tool catalogue, constitution and architecture docs for a persistent 10-agent LLM society (engine",[0,3]],[2,0,2026,"ExploitGym: benchmark of real-world vulnerabilities (userspace, V8, Linux kernel) for evaluating exploit-development agents; the environment",[0,11]],[2,0,2026,"LLMCartel: Bertrand duopoly and triopoly LLM collusion experiments with prompt variants and activation steering",[0,1]],[2,0,2026,"MatrAIx: persona-agent Playground (Survey/Chatbot/Web/App), 1,010 tasks and 1M-persona release for simulated-user evaluation",[0]],[2,0,2026,"MessageBoardAuditBench: Inspect evals that give an agent the raw collusion.wiki dump or the Transluce urlquery scans and score its report ag",[0,11]],[2,0,2026,"Moltbook Observatory: passive poller, SQLite store and dashboard for the agent-only social network Moltbook",[0,1]],[2,0,2026,"OpenRig: YAML-defined persistent teams of Claude Code and Codex agents with roles, shared context, a message queue and a tmux TUI",[0]],[2,0,2026,"Patchwork Heist — capability-restricted agents and a private-profit economy",[0,2,3,1,14]],[2,0,2026,"PolicySim: LLM social-platform sandbox with adaptive intervention policy (simplified release)",[0]],[2,0,2026,"Race Condition: Google Cloud Next '26 multi-agent marathon simulation (ADK + Gemini) with deterministic autopilot runners and NDJSON replay",[0]],[2,0,2026,"SWARM: System-Wide Assessment of Risk in Multi-agent systems, a framework for measuring emergent failures in agent populations (illusion del",[0,9]],[2,0,2026,"SwarmTrace: temporal audit of resource targeting in the DseWiki incident (24-hour degree ranking misses all 18 recent multi-writer resources",[0,9,7]],[2,0,2026,"Trustworthy Agent Simulation (tass): auditable LLM town society on AgentScope + Mesa with replay, resume, policy batches and Streamlit dashb",[0]],[2,0,2026,"WeClawArena: sandbox and benchmark for cross-owner personal-agent collaboration with attack variants (OpenClaw gateway)",[0,3]],[2,0,2026,"WorldSeed: YAML-declared world engine where LLM agents act on filtered views each tick and an AI referee resolves uncertain outcomes",[0]],[2,0,2026,"agent-collusion-wiki-archive: mirror of the collusion.wiki dump (14,591 revisions, 4,579 pages, 3,102 agent labels) with viewer, read-only A",[0,9]],[2,0,2026,"agent-swarm-forensics: reproduction of the collusion.wiki analysis with runnable scripts, plus the failover counter channel and its verbatim",[0]],[2,0,2026,"ai-village-agents/rpg-game: a browser RPG built collaboratively by 12 AI Village agents (artefact of the AI Digest village)",[0]],[2,0,2026,"alem: JAX benchmark for open-ended multi-agent coordination (Craftax-Coop based) with RL and text/LLM interfaces",[0,8]],[2,0,2026,"autojev: Qwen-based typed decision model",[0]],[2,0,2026,"awesome-sns: curated list of social network simulation papers, datasets and benchmarks from classical models to LLM agents (companion to a 2",[0,11]],[2,0,2026,"dsewiki-investigation: Fide AI's open claim assessments of 297 AI-written DseWiki incident reports (44 of 61 improved follow-ups kept a flag",[0,11]],[2,0,2026,"firstflagPOISONED: tests whether ExploitGym's trajectory grader credits a genuine exploit when the expected flag appeared earlier via a flag",[0,11]],[2,0,2026,"jev-sentinel: per-action scope monitoring",[0]],[2,0,2026,"jev-skill: Jev supervision of local SLM workers",[0]],[2,0,2026,"just-one-more-bulletin-board: an evidence graph over the collusion.wiki corpus (33 claims, 37 sources, 43 relationships, 2,110 exact URLs)",[0]],[2,0,2026,"nandatown: local test track and sandbox for multi-agent protocols (twelve replaceable protocol layers, seeded simulation, fault injection, e",[0,3,11]],[2,0,2026,"sealed-swarm-transcripts: 7,200 transcripts from a sealed small-model swarm that reproduced the incident's dynamics (shared board, channel r",[0,4,8]],[2,0,2026,"sprawling: single Rust binary running many terminal agents (Claude Code, Codex, API models) as a 'city' on one machine",[0]],[2,0,2026,"transluce-dataset-notes: three reproducible notes on Transluce's urlquery agent-activity dataset",[0]],[2,0,2026,"wiki-agent-swarm-incident: research archive of the 2026 wiki agent-swarm incident (timeline, coordination graph, primary-source index) from ",[0,9,11]],[2,1,2014,"crawler-user-agents: 1,501 regex patterns for HTTP user agents of bots, crawlers and scrapers",[1]],[2,1,2015,"Botometer X Python API: bulk lookup of archived Botometer bot scores for X/Twitter accounts",[1,3]],[2,1,2015,"Canarytokens: self-hostable tripwire tokens (URLs, DNS names, documents, AWS keys) that alert when touched",[1]],[2,1,2018,"AMLSim: IBM multi-agent anti-money-laundering transaction simulator (MASON-based) producing labelled synthetic financial graphs",[1,3]],[2,1,2020,"CooRnet: detects coordinated link sharing behaviour (CLSB) on Facebook and Instagram via CrowdTangle (archived)",[1]],[2,1,2020,"Coordination Network Toolkit: build co-retweet, co-tweet, co-similarity, co-link, co-reply and co-post networks from any timestamped social ",[1]],[2,1,2021,"BotD: open-source in-browser detector of automation frameworks (Selenium, Puppeteer, Playwright, headless browsers)",[1]],[2,1,2021,"BotRGCN: relational graph convolutional network for Twitter bot detection (TwiBot-20)",[1,3]],[2,1,2022,"Beelzebub: YAML-configured deception framework with LLM-backed decoys and MCP bait tools",[1]],[2,1,2022,"CooRTweet: R package for detecting coordinated networks (co-share, co-post, co-hashtag and more) across platforms",[1]],[2,1,2023,"Binoculars: zero-shot detector of LLM-generated text using the ratio of two models' perplexity and cross-perplexity",[1]],[2,1,2023,"BotPercent: community-level estimate of the share of bots among a set of Twitter accounts",[1]],[2,1,2023,"Fast-DetectGPT: zero-shot machine-text detection via conditional probability curvature",[1]],[2,1,2023,"Galah: LLM-powered web honeypot that generates a plausible response to any HTTP request",[1]],[2,1,2023,"HC3: Human ChatGPT Comparison Corpus and early ChatGPT detectors",[1]],[2,1,2023,"MAGE: machine-generated text detection in the wild, 447,674 texts from 27 LLMs across 10 domains",[1]],[2,1,2023,"lm-watermarking: green-list watermark for LLM text and its detector (Kirchenbauer et al.)",[1]],[2,1,2024,"BotSim: LLM-powered malicious social botnet simulation on Reddit-like data, with the BotSim-24 detection dataset",[1,0,3]],[2,1,2024,"LLM Agent Honeypot: Cowrie SSH honeypot with prompt-injection traps and timing analysis to catch LLM hacking agents in the wild",[1,0]],[2,1,2024,"MultiSocial: multilingual benchmark of machine-generated text detection on social-media texts",[1]],[2,1,2024,"RAID: 10M-document benchmark and leaderboard for robustness of AI-generated text detectors",[1]],[2,1,2024,"SynthID Text: reference implementation of Google DeepMind's generation-time text watermark and detectors",[1,3]],[2,1,2024,"ai.robots.txt: community list of AI crawlers, assistants and agents with user-agent tokens and ready block rules",[1]],[2,1,2025,"Anubis: proof-of-work challenge proxy that screens HTTP clients before they reach a site, aimed at AI scrapers",[1,3]],[2,1,2025,"Krawl: web honeypot and deception server for malicious crawlers, AI scrapers and scanners (spider traps, fake credentials, canary tokens, ta",[1]],[2,1,2025,"Pyison: Python tarpit that traps AI crawlers in an endless generated blog without using user-agent matching",[1]],[2,1,2025,"openai-crawlers-ip-ranges: weekly-refreshed lists of OpenAI's published egress IPs (GPTBot, ChatGPT-User, OAI-SearchBot) plus nginx rules to",[1]],[2,1,2026,"AI-agent-fingerprint: MARK multi-layer (timing, TLS/HTTP2, header, behaviour) fingerprinting testbed for AI web agents",[1,0]],[2,1,2026,"AgentCapture: deception platform that fingerprints 23 AI coding/pentest agent products and recruits them through camouflaged developer APIs",[1,2]],[2,1,2026,"AgentProvocateur: multi-protocol honeypot that plants prompt injections against AI pentesting agents",[1]],[2,1,2026,"Awesome OpenClaw Research: curated list and survey of 74 papers, 23 benchmarks and 18+ reports on the OpenClaw agent ecosystem and Moltbook",[1,0,2]],[2,1,2026,"NARCBench: activation-probe pipeline for detecting collusion among LLM agents",[1,0]],[2,1,2026,"Sundew: persona-randomised honeypot exposing MCP, OpenAPI and AI-plugin surfaces to fingerprint autonomous AI agents",[1]],[2,1,2026,"burning-tokens: a text-over-HTTP 'retreat' world for arbitrary LLM agents with per-session Durable Object instrumentation",[1,0]],[2,1,2026,"fp-agent: honey website, agent data collection and XGBoost classifiers for fingerprinting AI browsing agents",[1,0]],[2,1,2026,"nepenthes-py: Python rewrite of the Nepenthes anti-AI-crawler tarpit (infinite Markov-babble maze)",[1]],[2,1,2026,"snare: canary credentials planted in an AI agent host (AWS, SSH, kube, git, npm) that alert when a hijacked agent uses them",[1,2]],[2,2,2016,"in-toto: reference implementation of the in-toto supply chain integrity framework",[2]],[2,2,2017,"Maelstrom: Jepsen workbench that runs toy distributed-system nodes over a simulated network and checks consistency",[2,7]],[2,2,2020,"Arti: embeddable Rust implementation of the Tor client and onion services",[2,3]],[2,2,2020,"bft-crdts: Byzantine fault tolerant eventually consistent algorithms over secure broadcast (Maidsafe research)",[2,7]],[2,2,2020,"byzantine-eventual: paper sources and JavaScript prototype for Byzantine Eventual Consistency",[2,7]],[2,2,2020,"nym: Nym mixnet platform (nym-node mixnodes and gateways, clients, SOCKS5 proxy)",[2,3]],[2,2,2022,"Blades: unified benchmark suite for Byzantine attacks and defenses in federated learning",[2]],[2,2,2022,"bft-json-crdt: JSON-like Byzantine fault tolerant CRDT implementing Kleppmann 2022 in Rust",[2,7]],[2,2,2023,"Open-Prompt-Injection: toolkit and benchmark for prompt injection attacks and defenses",[2]],[2,2,2023,"PyRIT: Microsoft Python Risk Identification Tool for generative AI red teaming",[2]],[2,2,2023,"garak: NVIDIA LLM vulnerability scanner with injection, latent-injection and agent-breaker probes",[2]],[2,2,2023,"mergekit: toolkit for merging pretrained LLM weights (linear, SLERP, task arithmetic, TIES, DARE, DELLA, MoE)",[2]],[2,2,2023,"promptfoo: LLM eval and red-teaming CLI with agentic memory-poisoning and indirect-injection plugins",[2]],[2,2,2024,"ASB: Agent Security Bench, attacks and defenses for LLM agents including memory poisoning",[2,0]],[2,2,2024,"Agent-Smith: infectious jailbreak of up to one million multimodal agents via one adversarial image",[2,0]],[2,2,2024,"AgentPoison: official implementation of memory and knowledge-base backdoor poisoning for LLM agents",[2]],[2,2,2024,"AgentPrune: pruning redundant or malicious messages in LLM multi-agent communication graphs (ICLR 2025)",[2,0]],[2,2,2024,"BadMerging: backdoor attacks against model merging, official CCS 2024 code",[2]],[2,2,2024,"ByzFL: Byzantine-resilient aggregators, attacks and FL simulation library from EPFL and INRIA",[2,7]],[2,2,2024,"Here-Comes-the-AI-Worm (formerly ComPromptMized): RAGworm self-replicating prompt and DonkeyRail guardrail",[2,0]],[2,2,2024,"InjecAgent: benchmark of indirect prompt injections in tool-integrated LLM agents",[2]],[2,2,2024,"NetSafe: code for topological safety experiments on LLM multi-agent networks",[2,0]],[2,2,2024,"PoisonedRAG: official code for knowledge corruption attacks on RAG",[2]],[2,2,2024,"PsySafe: dark-trait injection attacks, defenses and evaluation for multi-agent systems",[2,0]],[2,2,2024,"agentdojo: dynamic environment to evaluate prompt injection attacks and defenses for LLM agents",[2,0]],[2,2,2025,"A-MemGuard: official code for consensus-validated, lesson-augmented agent memory defence",[2]],[2,2,2025,"CaMeL: reference implementation of capability-based prompt-injection defence for agents",[2]],[2,2,2025,"ControlArena: library of settings, model organisms and protocols for AI control experiments",[2,0]],[2,2,2025,"DAM: defense-aware merging against backdoors in multi-task model merging (ICLR 2025)",[2]],[2,2,2025,"FLPoison: benchmark of 15 poisoning attacks and 17 defenses in federated learning",[2,3]],[2,2,2025,"FedAgent: federated reinforcement learning of LLM agents across decentralized clients (NeurIPS 2026)",[2,8]],[2,2,2025,"Fides: tutorial notebook for information-flow control in AI agents",[2]],[2,2,2025,"G-Safeguard: GNN anomaly detection and edge pruning on LLM multi-agent utterance graphs (ACL 2025)",[2,0]],[2,2,2025,"Merge-Hijacking: official code for backdoor attacks on model merging of LLMs (ACL 2025)",[2]],[2,2,2025,"MergeBackdoor: benign-looking upstream models that become backdoored only when merged (USENIX Security 2025)",[2]],[2,2,2025,"WASP: end-to-end benchmark of web agent security against prompt injection (Meta)",[2]],[2,2,2025,"agent-scan (formerly invariantlabs-ai/mcp-scan): scanner for prompt injection and tool poisoning in MCP servers and agent skills",[2]],[2,2,2026,"MAPLE-Guard: memory-lifecycle gates against memory-link poisoning in multi-agent systems",[2,0]],[2,2,2026,"MINJA: memory injection attacks on LLM agents via query-only interaction (NeurIPS 2025 code)",[2,0]],[2,2,2026,"MiDojo: man-in-the-middle prompt injection testing for sandboxed agents, after AgentDojo",[2]],[2,2,2026,"aegean-consensus: third-party implementation of Aegean quorum consensus for multi-agent LLM reasoning",[2,7,0]],[2,2,2026,"phosphor: hardened Go agent runtime with layered memory-poisoning defences (single-writer vault, write-time scan, inferred-never-promotes, H",[2]],[2,3,2011,"Shadow: discrete-event network simulator that runs unmodified Linux binaries over a simulated network",[3,1,11]],[2,3,2013,"SyPy: Python framework for building and evaluating graph-based Sybil node detection algorithms",[3]],[2,3,2015,"ethereum/devp2p: Ethereum peer-to-peer networking specifications, including the Node Discovery v5 rationale on Sybil and eclipse attacks",[3,7]],[2,3,2016,"libp2p/specs: technical specifications for the libp2p networking stack, including gossipsub v1.1 security extensions (peer scoring)",[3,7]],[2,3,2016,"sybildetection: C++ implementations of SybilRank, SybilBelief, SybilSCAR and GANG for structure-based Sybil detection",[3]],[2,3,2017,"BrightID-Node: node software that stores and serves the BrightID social graph for proof of uniqueness",[3]],[2,3,2017,"blockchain-swarm-robotics: ARGoS plus Ethereum code for managing Byzantine robots in a collective decision task (Strobel et al., AAMAS 2018)",[3,6,4]],[2,3,2017,"challenge-bypass-extension: original Privacy Pass browser client (deprecated)",[3]],[2,3,2018,"AB-interface-ARGoS-module: ARGoS side of the ARGoS-Blockchain interface comparing consensus protocols under Byzantine robots (Strobel et al.",[3,6,4]],[2,3,2018,"BrightID-AntiSybil: framework that simulates Sybil attacks on the BrightID social graph and compares anti-Sybil ranking algorithms",[3]],[2,3,2019,"Semaphore: zero-knowledge group membership proofs with per-scope nullifiers for anonymous signalling",[3]],[2,3,2019,"Testground: platform for testing and simulating distributed and P2P systems from 2 to 10k instances",[3,7,11]],[2,3,2019,"aperture: L402 (Lightning HTTP 402) reverse proxy for paid APIs",[3,0]],[2,3,2019,"idena-go: Go node for Idena, a proof-of-personhood blockchain based on synchronous flip-puzzle validation ceremonies",[3,7]],[2,3,2020,"ARGoS-Blockchain interface, blockchain module: private Ethereum network of Docker geth nodes for robot swarm simulations",[3,6]],[2,3,2020,"avalanchego-basalt: BASALT Sybil-resistant random peer sampling patched into AvalancheGo",[3,7]],[2,3,2020,"gossipsub-hardening: Testground plans that attack gossipsub with Sybil, eclipse and covert-flash adversaries",[3,7]],[2,3,2021,"rpc-endpoint: Flashbots Protect RPC server, with salted, hourly-rotating IP fingerprints as its rate-limit key",[3]],[2,3,2021,"zkcreds-rs: Rust library for issuer-agnostic anonymous credentials from zkSNARKs",[3]],[2,3,2022,"Complete-Knowledge/ck: on-chain verification of ASIC-based proofs of complete knowledge",[3]],[2,3,2022,"Passport (formerly Gitcoin Passport): verifiable-credential \"stamp\" wallet used as Sybil defence for Gitcoin Grants and other airdrops",[3]],[2,3,2022,"Passport Scorer: API that turns Passport stamps into a weighted humanity score, plus model-based scoring",[3]],[2,3,2022,"hop-airdrop: scripts and data producing the 2022 HOP token airdrop after removing community-reported Sybil clusters",[3]],[2,3,2022,"kademlia-simulator: PeerSim-based Kademlia DHT simulator with malicious-node scenarios (discv5, data availability sampling)",[3,7]],[2,3,2022,"mev-boost-relay: Flashbots MEV-Boost relay, with per-builder priority, blacklist, collateral and demotion as its builder-identity controls",[3]],[2,3,2022,"world-id-contracts: Solidity contracts for World ID 3.0, Semaphore-based anonymous proof of unique humanity",[3]],[2,3,2022,"zerokit: Rust zero-knowledge modules, mainly the RLN implementation used by Waku for anonymous spam protection",[3]],[2,3,2023,"Arbitrum sybil-detection: methodology repo for removing Sybil clusters from the 2023 ARB airdrop via transfer-graph community detection",[3]],[2,3,2023,"Decentralized Blocklist Protocol: ARGoS experiments for Byzantine-resilient swarms via inter-robot accusations",[3,6]],[2,3,2023,"Ethshadow: run a full Ethereum network of real clients (Lighthouse, Geth and others) inside Shadow",[3,7]],[2,3,2023,"Toychain: lightweight Python blockchain with pluggable consensus for swarm robotics research",[3,6]],[2,3,2023,"Trusta Labs Airdrop-Sybil-Identification: two-phase graph clustering plus behavioural refinement for airdrop Sybil detection",[3]],[2,3,2023,"circom-rln: Rate-Limiting Nullifier circuits that let anonymous members send at most N messages per epoch or lose their stake",[3]],[2,3,2023,"open-iris (IRIS): Worldcoin iris recognition pipeline used to check uniqueness for World ID",[3]],[2,3,2023,"privacypass-issuer: Cloudflare Workers issuer for IETF Privacy Pass tokens (publicly verifiable, blind RSA)",[3]],[2,3,2024,"MMASim: Mesa agent-based simulator of MEV-Boost builder bidding wars",[3,8]],[2,3,2024,"builder-hub: BuilderNet registry that admits builder nodes by allowlisted TEE measurements and IP, then provisions their credentials and pee",[3]],[2,3,2024,"buildernet-orderflow-proxy: TEE-side proxy that authenticates BuilderNet peers by registered signer keys and rate limits the public user API",[3]],[2,3,2024,"key-encumbrance/liquefaction: smart-contract key-encumbered wallet for privately liquefying blockchain assets",[3]],[2,3,2025,"MaxShapley: Shapley attribution of retrieved sources in generative search",[3,0]],[2,3,2025,"flashbots/flashtestations: on-chain registry for TDX attestations and attested block-builder policy",[3]],[2,3,2025,"spam-inspect: trace-based classifier for on-chain MEV spam bots on OP-Stack rollups",[3]],[2,3,2025,"web-bot-auth: libraries and examples for signing automated agent HTTP traffic with RFC 9421 HTTP Message Signatures",[3,0,1]],[2,3,2025,"x402: open HTTP 402 payment standard and SDKs",[3,0]],[2,3,2026,"LLMs-Sybils (fnp-agents): do LLM agents discover identity multiplicity to exploit non-false-name-proof mechanisms",[3,0]],[2,3,2026,"epistemic-sybil-resistance: reproducibility package and ESB benchmark for epistemic Sybil aggregation",[3,0]],[2,4,2012,"abcEconomics (abce): Python agent-based computational economics platform handling trade, production and consumption",[4]],[2,4,2017,"Evoplex: fast multi-threaded C++/Qt platform for agent-based models on networks (evolutionary game theory, CA)",[4]],[2,5,2003,"MASON: Java multi-agent simulation toolkit (GMU ECLab) with discrete-event schedule, 2D/3D fields and GUI",[5,6,11]],[2,5,2011,"NetLogo: the reference agent-based modelling environment (Scala/Java) with the Flocking model in its models library",[5,11]],[2,5,2014,"Mesa: Python agent-based modelling framework (grids, continuous space, schedulers, browser visualisation), with a bundled Boids flocking exa",[5,11]],[2,5,2018,"Agents.jl: Julia agent-based modelling framework (grid, continuous, graph, OpenStreetMap spaces; discrete-time and event-queue models)",[5,13,11]],[2,5,2020,"AgentPy: Python ABM library integrating model design, experiments and analysis (grid, continuous space with KD-tree, networks)",[5,11]],[2,5,2020,"FLAME GPU 2: CUDA/C++ and Python agent-based simulation library with typed message passing, spatial messaging and GPU ensembles",[5,13,11]],[2,5,2021,"activematter-python: Philip Mocz's single-file Vicsek model (N=500, L=10, eta=0.5) from the 'Create Your Own Active Matter Simulation' tutor",[5,10]],[2,5,2021,"krABMaga: Rust ABM engine re-engineering MASON, with Bevy visualisation, WASM, parallel and MPI features",[5,11]],[2,6,1996,"Webots: open-source desktop robot simulator (Cyberbotics) with ODE physics, sensor models and multi-language controllers",[6]],[2,6,2009,"Roborobo 4: fast 2D multi-robot simulator for evolutionary swarm robotics, C++ core with Python interface",[6,8]],[2,6,2012,"ARGoS 3: physics-based multi-robot simulator built for large swarms (multiple physics engines, thousands of robots)",[6]],[2,6,2012,"PX4 Autopilot: open-source flight control stack with multi-vehicle SITL simulation used for drone-swarm tooling",[6]],[2,6,2015,"Buzz: programming language for heterogeneous robot swarms (neighbour map/reduce, dynamic swarms, virtual stigmergy) running on ARGoS and ROS",[6,12]],[2,6,2015,"Kilombo: C simulator for Kilobot swarms that runs the same controller code as the real robots",[6]],[2,6,2016,"Crazyswarm: ROS 1 stack for flying large Crazyflie quadrotor swarms (superseded by Crazyswarm2)",[6]],[2,6,2017,"SCRIMMAGE: GTRI multi-agent robotics simulator (plugins for autonomy, controllers, sensors; large-scale aerial engagements)",[6,8]],[2,6,2020,"SwarmLab: MATLAB drone and drone-swarm simulator (Olfati-Saber and Vasarhelyi flocking, quadcopter or point-mass)",[6,5]],[2,6,2020,"gym-pybullet-drones: PyBullet Gymnasium environments for single- and multi-quadcopter control and RL (Crazyflie models)",[6,8]],[2,6,2021,"Crazyswarm2: ROS 2 stack for Bitcraze Crazyflie multirotor swarms",[6]],[2,6,2022,"IR-SIM: lightweight YAML-driven Python robot simulator for navigation, control and learning",[6]],[2,6,2023,"Aerial Gym Simulator: Isaac Gym-based, GPU-parallel simulator for multirotors with GPU controllers and ray-cast sensors",[6]],[2,6,2023,"OmniDrones: Isaac Sim platform for multi-rotor RL with benchmark tasks (unmaintained)",[6,8]],[2,6,2024,"Crazyflow: batched, differentiable JAX simulator of Crazyflie quadrotors (n_worlds x n_drones) with MuJoCo/MJX integration",[6,8]],[2,6,2024,"DANCERS: co-simulator coupling a multi-robot simulator (e.g. Gazebo) with a network simulator (e.g. ns-3)",[6]],[2,6,2025,"aerial-autonomy-stack: PX4/ArduPilot + ROS2 multi-drone simulation and deployment stack with faster-than-real-time perception",[6]],[2,7,2017,"swarmalators: O'Keeffe's source code for swarmalator models (Mathematica and others) across a dozen papers",[7,5]],[2,7,2019,"BlockSim: Python discrete-event simulator for blockchain network, consensus and incentive layers",[7]],[2,7,2019,"SimBlock: Java blockchain network simulator for block propagation across regions",[7]],[2,7,2022,"ethereum-package: Kurtosis package for private multi-client Ethereum devnets with MEV-Boost relays and builders",[7,3]],[2,7,2023,"Attacknet: chaos testing of blockchain devnets with network, clock and container faults (Trail of Bits)",[7,3]],[2,7,2024,"Swarmalators-Experiment-Mobile: multi-project Python framework for 2D/3D swarmalator and active-matter numerical experiments with HDF5 traje",[7,10,5]],[2,8,2017,"Unity ML-Agents: toolkit turning Unity games and simulations into single- and multi-agent RL environments (PPO, SAC, MA-POCA, self-play)",[8]],[2,8,2017,"multiagent-particle-envs (MPE): the original particle-world environments for MADDPG (archived; maintained version in PettingZoo)",[8,5]],[2,8,2018,"Collection of small hand-written MARL gridworlds (soccer, rescue, cleaner, move box, catching pig, drones monitoring, maze, find treasure)",[8]],[2,8,2018,"PyMARL: the original SMAC-era MARL algorithm codebase (QMIX, VDN, COMA, IQL)",[8]],[2,8,2018,"Sequential Social Dilemma Games: open reimplementation of DeepMind's Harvest (commons) and Cleanup (public goods) gridworlds",[8,4]],[2,8,2019,"EGG: Emergence of lanGuage in Games, PyTorch toolkit for multi-agent emergent-communication games",[8]],[2,8,2019,"Flatland: railway train-scheduling gridworld for multi-agent RL and operations research (hundreds of trains)",[8,13]],[2,8,2019,"Google Research Football: 3D football game RL environment with single- and multi-agent (up to 11 v 11) control",[8]],[2,8,2019,"Hanabi Learning Environment: DeepMind's cooperative imperfect-information card game platform (2-5 players)",[8]],[2,8,2019,"MARO: Microsoft Multi-Agent Resource Optimization platform (simulation scenarios + distributed RL toolkit for logistics, bike repositioning,",[8]],[2,8,2019,"Neural MMO 2: massively multi-agent survival/combat/trade MMO world for RL, 128+ agents per world, PettingZoo API",[8]],[2,8,2019,"Overcooked-AI: two-player cooperative cooking gridworld benchmark for human-AI and zero-shot coordination",[8]],[2,8,2019,"RLCard: toolkit of multi-player card-game environments (poker variants, Dou Dizhu, etc.) for RL and search",[8]],[2,8,2019,"SMAC: StarCraft Multi-Agent Challenge environments",[8]],[2,8,2019,"ma-gym: collection of small multi-agent gridworld environments on OpenAI Gym",[8]],[2,8,2019,"multi-agent-emergence-environments: the hide-and-seek environments from 'Emergent Tool Use From Multi-Agent Autocurricula' (archived)",[8]],[2,8,2020,"Abmarl (LLNL): agent-based simulation interface and GridWorld framework wired to RLlib for MARL",[8]],[2,8,2020,"Foundation (AI Economist): composable economic simulation with worker agents and a tax-setting social planner",[8,4]],[2,8,2020,"Level-Based Foraging (LBF): gridworld where agents with levels must jointly load food; mixed cooperative-competitive MARL benchmark",[8,4]],[2,8,2020,"Multi-Agent MuJoCo (MaMuJoCo): continuous multi-agent robotic control benchmark splitting MuJoCo bodies across agents (original repo; mainta",[8]],[2,8,2020,"PettingZoo: multi-agent Gymnasium-style API and environment families (Atari, Butterfly, Classic, MPE, SISL)",[8]],[2,8,2020,"RWARE: multi-robot warehouse gridworld where robots fetch and return requested shelves (sparse-reward MARL benchmark)",[8,6]],[2,8,2020,"SlimeVolleyGym: two-agent Slime Volleyball Gym environment for self-play and multi-agent RL",[8]],[2,8,2021,"GoBigger: agar.io-like scalable cooperative-competitive multi-agent team environment (ICLR 2023)",[8]],[2,8,2021,"Godot RL Agents: interface between Godot Engine games and Python RL frameworks (SB3, Sample Factory, RLlib, CleanRL)",[8]],[2,8,2021,"Melting Pot 2.0: 50+ multi-agent substrates and 256 test scenarios for generalisation to novel social situations",[8,4]],[2,8,2021,"MetaDrive: lightweight compositional driving simulator with multi-agent scenarios (roundabout, intersection, tollgate, bottleneck, parking l",[8,13]],[2,8,2021,"WarpDrive: end-to-end multi-agent RL on a GPU (CUDA C / Numba env step + PyTorch training), e.g. 1000-agent Tag",[8,11]],[2,8,2022,"Jumanji: 22 hardware-accelerated RL environments in JAX (ICLR 2024), some multi-agent",[8]],[2,8,2022,"MATE: Multi-Agent Tracking Environment, asymmetric two-team camera-vs-target game with intra-team communication",[8,6]],[2,8,2022,"MAgent2: large-population gridworld MARL environments (hundreds of pixel agents in battle and gathering scenarios) on the PettingZoo API",[8]],[2,8,2022,"POGEMA: fast partially observable multi-agent pathfinding gridworld, scales to 1000+ agents on one CPU core",[8,6,5]],[2,8,2022,"POSGGym: Gymnasium-style library of partially observable multi-agent environments with reference agents and generative models for planning",[8]],[2,8,2022,"SMACv2: procedurally generated StarCraft II micromanagement benchmark for cooperative MARL 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unit-control game with meta-learning matches",[8]],[2,8,2024,"Meta MMO: many-agent minigames on Neural MMO 2 with generalist training and Elo evaluation",[8]],[2,8,2025,"CoGames (retired): former Metta multi-agent cooperative/competitive environment collection, now a tombstone pointing to Coworld",[8]],[2,8,2025,"MettaGrid: fast configurable C++ multi-agent gridworld for emergent cooperation, resources, combat and 'vibes'",[8]],[2,8,2025,"Multi-Agent Craftax: Craftax-MA and Craftax-Coop open-ended survival/crafting MARL environments in JAX (JaxMARL API)",[8]],[2,8,2026,"Coworld: Softmax/Metta packaging and league platform for programmable multi-agent game arenas (successor to CoGames)",[8,0]],[2,10,2019,"JAX MD: differentiable, GPU-accelerated molecular dynamics in JAX, usable for self-propelled particle and active-matter simulation",[10,5]],[2,11,2013,"ns-3: discrete-event packet-level network simulator for research and education (GitHub mirror)",[11]],[2,11,2018,"cadCAD: Python framework for complex adaptive dynamics simulations with Monte Carlo, A/B tests and parameter sweeps",[11,3]],[2,11,2019,"ABIDES (original): agent-based interactive discrete-event market simulator with per-agent latency",[11]],[2,11,2020,"ABMFrameworksComparison: CI-run benchmark of the same ABMs (WolfSheep, Flocking, Schelling) in Agents.jl, Ark.jl, MASON, NetLogo and Mesa",[11,5]],[2,11,2020,"Repast4Py: distributed (MPI) agent-based modelling in Python, the Python member of the Repast suite",[11]],[2,11,2020,"TokenSPICE: agent-based token-ecosystem simulator with the EVM in the loop",[11]],[2,11,2020,"radCAD: faster cadCAD-compatible framework for parameter-swept system simulations",[11,3]],[2,11,2020,"tornettools: generate, run and analyse statistically sound private Tor network models in Shadow",[11,3]],[2,11,2021,"ABIDES (J.P. 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API)",[13]],[2,13,2015,"MATSim: large-scale agent-based transport simulation toolbox (demand modelling, mobsim, iterative replanning)",[13]],[2,13,2017,"Mesa-Geo: GIS extension for Mesa (GeoSpace, GeoAgents with Shapely geometry and CRS)",[13]],[2,13,2018,"AgentMaps: JavaScript/Leaflet library for agent-based simulations on real-world maps",[13]],[2,13,2019,"BARK: semantic multi-agent simulation framework for benchmarking autonomous-driving behaviour models (no longer maintained)",[13]],[2,13,2019,"CityFlow: fast multithreaded microscopic traffic simulator for city-scale multi-agent traffic-signal RL",[13,8]],[2,13,2020,"PySocialForce: NumPy implementation of the extended social force model for pedestrian groups",[13]],[2,13,2020,"SMARTS: Huawei Noah's Ark multi-agent RL simulation platform for autonomous driving with realistic, diverse interactions",[13,8]],[2,15,2026,"Evaluating jev",[15,0]],[2,15,2026,"Jev draws Earth",[15,0]],[2,15,2026,"JevAdvBench",[15,0]],[3,0,2021,"What 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decision-making in biology","n":6},{"id":"active-matter","name":"Active matter physics","n":6},{"id":"sync-consensus","name":"Synchronisation, consensus and networked control","n":6},{"id":"crowds-and-traffic","name":"Human crowds and traffic","n":6},{"id":"swarm-intelligence","name":"Swarm intelligence algorithms","n":6}],"status":"Human-requested unreviewed hunches","date":"2026-10-04","prior_sources":321,"candidates":[{"id":"PHY-01","area":"collective-motion","title":"Neighbour rules under actual visibility","q":"Does choosing a fixed number of neighbours still preserve cohesion when robots can only see unoccluded neighbours?","h":"The topological rule will lose part of its density robustness when visibility constrains its inputs; an occlusion-aware rule will recover some robustness without increasing the observation budget.","cited":false,"by":[]},{"id":"PHY-02","area":"collective-motion","title":"What mechanism carries a turning wave?","q":"Can measured propagation distinguish behavioural inertia from front-biased interactions?","h":"The same average turning-wave speed can arise from both mechanisms, but responses to reversed sensory bias and paired pulses will distinguish them.","cited":false,"by":[]},{"id":"PHY-03","area":"collective-motion","title":"Polarization versus navigation value","q":"When does increasing collective alignment reduce actual task performance?","h":"Stronger alignment will increase polarization while slowing response to a rapidly moving goal, producing an intermediate optimum for useful transport.","cited":false,"by":[]},{"id":"PHY-04","area":"collective-motion","title":"Distributed expertise under local failure","q":"Does spreading informed agents through a flock make guidance more reliable than concentrating them near its front?","h":"Spatially distributed informed agents will improve recovery from a local sensor outage, but may slow initial turns when their cues disagree.","cited":false,"by":[]},{"id":"PHY-05","area":"collective-motion","title":"Hydrodynamic breakup beyond a single model","q":"Does size-dependent school fragmentation survive replacing idealized long-range fluid coupling with a screened interaction?","h":"Breakup attributed to hydrodynamics will weaken when coupling is screened, even with the same local disturbance magnitude; this would identify long-range coherence rather than generic noise as the driver.","cited":false,"by":[]},{"id":"PHY-06","area":"collective-motion","title":"Alternating bursts in larger groups","q":"Can the pairwise benefit of alternating movement bursts scale to a school without a shared clock?","h":"Local burst alternation will improve turn-following in small neighbourhoods, but mutually incompatible timing constraints will limit its benefit in larger dense groups.","cited":false,"by":[]},{"id":"PHY-07","area":"collective-decision","title":"Why can less communication help adaptation?","q":"Does constrained communication improve changing-environment decisions by preserving independent sampling or simply weakening social commitment?","h":"The benefit will depend primarily on maintaining fresh independent samples; sparse communication without increased information freshness will provide less improvement.","cited":false,"by":[]},{"id":"PHY-08","area":"collective-decision","title":"Finite populations and multi-option deadlock","q":"Does a mean-field cross-inhibition policy still make accurate decisions when only a small number of agents compare several options?","h":"Finite-population noise will break apparent deadlocks more often than deterministic predictions suggest, while also increasing incorrect early commitments.","cited":false,"by":[]},{"id":"PHY-09","area":"collective-decision","title":"Group size versus independent evidence","q":"Is collective accuracy determined more by the number of independent environmental cues than by the number of agents?","h":"Accuracy will saturate or decline as agents share increasingly correlated cues; adding independently sampled agents will help more than duplicating existing evidence.","cited":true,"by":["optimal-swarm-size-q1"]},{"id":"PHY-10","area":"collective-decision","title":"Correcting fast-sampling option bias","q":"Can a swarm identify the best option when inferior options are faster to inspect?","h":"Weighting reports by independent completed inspections, with an explicit travel-cost correction, will reduce bias toward cheap options at a possible delay cost.","cited":false,"by":[]},{"id":"PHY-11","area":"collective-decision","title":"When uninformed participants help","q":"Do uninformed agents improve a decision because they dilute commitment or because their movement changes connectivity?","h":"Uninformed participants will help resolve conflicting preferences in some regimes, but that benefit will shrink when degree and movement are held constant.","cited":false,"by":[]},{"id":"PHY-12","area":"collective-decision","title":"Reopening a settled decision","q":"Can occasional independent reinspection reverse an obsolete consensus without creating constant churn?","h":"A small continuing reinspection rate will improve cumulative utility after option changes, with excessive reinspection causing instability in stationary environments.","cited":false,"by":[]},{"id":"PHY-13","area":"active-matter","title":"Same cluster, different mechanism","q":"Can localized release distinguish density-dependent motility from alignment-driven aggregation when snapshots look similar?","h":"A temporary local motility release will dissolve density-trapped clusters differently from equally dense alignment clusters, allowing a small intervention to identify mechanism.","cited":false,"by":[]},{"id":"PHY-14","area":"active-matter","title":"Wall geometry as a control input","q":"Can boundary shape guide an inertial robot aggregate while preserving useful bulk mixing?","h":"A shaped boundary will bias collective transport, but apparent guidance will partly be paid for by trapping particles near walls and reducing bulk exploration.","cited":false,"by":[]},{"id":"PHY-15","area":"active-matter","title":"Delayed density sensing in motility control","q":"Does delayed quorum sensing destabilize otherwise stable active-particle aggregates?","h":"Delayed density-dependent speed updates will induce repeated aggregation and dissolution beyond a response-time range, and hysteretic switching may suppress that cycle.","cited":false,"by":[]},{"id":"PHY-16","area":"active-matter","title":"Reciprocity and useful collective rotation","q":"Can asymmetric interactions generate useful rotation without simply increasing total actuation?","h":"Changing the balance of reciprocal and non-reciprocal coupling at fixed overall strength will induce persistent rotation in some regimes, but only part of that rotation will transfer work to a load.","cited":false,"by":[]},{"id":"PHY-17","area":"active-matter","title":"Recovery of shape versus recovery of function","q":"Does an acoustically coupled aggregate that regains its shape also regain its sensing and transport performance?","h":"Morphological recovery will precede functional recovery when damage changes phase or frequency organization without removing many particles.","cited":false,"by":[]},{"id":"PHY-18","area":"active-matter","title":"Transport by fluctuating active flows","q":"Can a deliberately disordered active flow transport tracers more effectively than an ordered flock at the same propulsion budget?","h":"Intermediate temporal disorder will improve mixing and target encounter rates, while strongly aligned motion will maximize directional transport but leave poorly explored regions.","cited":false,"by":[]},{"id":"PHY-19","area":"swarm-robotics","title":"Who creates the observed coordination?","q":"How much apparent yielding and collision avoidance comes from a learned policy versus a testbed safety filter?","h":"Some coordination attributed to the policy will be introduced by command projection; policy rankings will change when evaluated on raw commands as well as executed motion.","cited":false,"by":[]},{"id":"PHY-20","area":"swarm-robotics","title":"When a few messages add value","q":"Does limited communication help decentralized navigation specifically when visual observations are ambiguous?","h":"A small intent message will improve throughput under occlusion and symmetric encounters more than under fully visible scenes, provided it is fresh and reliable.","cited":false,"by":[]},{"id":"PHY-21","area":"swarm-robotics","title":"Correlated disturbances in transfer","q":"Do policies robust to independent sensor noise fail when an entire swarm shares the same bias?","h":"Shared localization or timing errors will cause larger collective failures than independent errors of the same marginal magnitude; training only with independent noise will overstate resilience.","cited":false,"by":[]},{"id":"PHY-22","area":"swarm-robotics","title":"Correlated evidence in physical identity vetting","q":"Does collaborative identity vetting remain reliable when neighbours share correlated radio-observation errors?","h":"Collaborative voting will overstate confidence when trust observations have shared bias; explicit dependence-aware aggregation will reduce false exclusion at a possible detection delay cost.","cited":false,"by":[]},{"id":"PHY-23","area":"swarm-robotics","title":"Seed dependence in shape formation","q":"How much of distributed shape assembly relies on a small privileged set of coordinate seeds?","h":"Losing coordinate seeds early will damage goal-shape accuracy more than losing the same number of ordinary robots, even when surviving robots remain connected.","cited":false,"by":[]},{"id":"PHY-24","area":"swarm-robotics","title":"Damage recovery with immobile survivors","q":"Do swarms that recover after robots are removed also recover when damaged robots remain as obstacles?","h":"Recovery will be substantially worse when failed bodies occupy important passages, and local failure-aware rerouting will help more than simply adding healthy robots.","cited":false,"by":[]},{"id":"PHY-25","area":"sync-consensus","title":"The order of communication opportunities","q":"Can two networks with identical aggregate connectivity have very different finite-time consensus because contacts occur in a different order?","h":"Schedules that repeatedly isolate the same subgroup will converge more slowly than temporally interleaved contacts, despite equal edge counts and identical aggregated graphs.","cited":false,"by":[]},{"id":"PHY-26","area":"sync-consensus","title":"Fast consensus under realistic link delays","q":"Does adding long-range links still accelerate agreement when their latency and service cost are included?","h":"Shortcuts will help only below a latency-and-budget boundary; nominally better connectivity can worsen error at a fixed wall-clock deadline.","cited":false,"by":[]},{"id":"PHY-27","area":"sync-consensus","title":"Movement as a synchronization resource","q":"Can purposeful mixing synchronize locally coupled oscillators more efficiently than increasing their coupling strength?","h":"Occasional movement between weakly connected regions will outperform stronger within-region coupling at equal energy proxy, but only if travel changes encounters before local clusters lock into incompatible phases.","cited":false,"by":[]},{"id":"PHY-28","area":"sync-consensus","title":"A useful phase wave without global synchrony","q":"Can a low global phase order hide a stable, useful spatial coordination pattern?","h":"A stable phase wave will support sequential activation around a ring while global synchrony ranks it lower despite higher sequential-task utility.","cited":false,"by":[]},{"id":"PHY-29","area":"sync-consensus","title":"How distribution tails change swarmalator predictions","q":"Do analytic swarmalator predictions based on Lorentzian frequency disorder remain useful for bounded physical populations?","h":"The qualitative states will persist under bounded disorder, but synchronization boundaries and rare-agent escape rates will shift enough to matter for small swarms.","cited":false,"by":[]},{"id":"PHY-30","area":"sync-consensus","title":"Synchrony versus shared-channel congestion","q":"When does synchronizing activity overload the channel needed to maintain that synchronization?","h":"Strongly synchronized message bursts will increase collision or queue delays, reducing useful coordination compared with a phase-spread schedule at the same message rate.","cited":false,"by":[]},{"id":"PHY-31","area":"crowds-and-traffic","title":"Anticipation versus slower walking","q":"Can the collective effect of a distracted walker be separated from reduced speed and altered gait?","h":"Removing mutual anticipation will disrupt lane formation beyond the effect of simply reducing preferred speed, particularly near the front of counterflow groups.","cited":false,"by":[]},{"id":"PHY-32","area":"crowds-and-traffic","title":"Avoiding congestion without hiding the queue","q":"Does local admission control improve total throughput, or merely move waiting outside the measured corridor?","h":"For bursty arrivals within service capacity, occupancy-based admission will reduce total arrival-to-exit delay versus fixed-rate throttling while preserving completed trip count.","cited":false,"by":[]},{"id":"PHY-33","area":"crowds-and-traffic","title":"Does one smoothing vehicle help beyond a ring?","q":"How much of minority-controller traffic smoothing survives open boundaries and disruptive merging?","h":"A small controlled minority will still reduce speed variance, but throughput benefits will shrink when incoming traffic repeatedly occupies the gaps used for smoothing.","cited":false,"by":[]},{"id":"PHY-34","area":"crowds-and-traffic","title":"Confinement and collective rotation","q":"Can changes in confinement geometry alter collective crowd oscillations without changing local density?","h":"In a calibrated mechanical crowd model, changing effective confinement length will alter oscillation frequency even when mean density and activity remain fixed.","cited":false,"by":[]},{"id":"PHY-35","area":"crowds-and-traffic","title":"Wider crossings with more directional disorder","q":"Can widening a crossing reduce efficiency when it also allows more crossing angles?","h":"A wider passage will improve flow for fixed desired directions, but may lose that benefit if the added space creates a broader distribution of encounter angles.","cited":false,"by":[]},{"id":"PHY-36","area":"crowds-and-traffic","title":"Capacity estimates that transfer between bottlenecks","q":"Does controlling upstream density explain more variation in measured bottleneck capacity than doorway width alone?","h":"A model including upstream density and transient occupancy will transfer between geometries better than a width-only capacity rule.","cited":false,"by":[]},{"id":"PHY-37","area":"swarm-robotics","title":"Neural cellular repair beyond familiar lesion shapes","q":"Does a learned NCA repair task-critical hidden-state cuts as reliably as equally large random circular lesions?","h":"A cut across an active reasoning front will delay valid-solution recovery more than an equal-area random lesion, even when rendered outputs appear similarly restored.","cited":false,"by":[]},{"id":"PHY-38","area":"swarm-robotics","title":"Masked parallel updates versus independent cell clocks","q":"Does an NCA trained with random update masks preserve its task performance under event-driven local execution with stale neighbour reads?","h":"Removing common snapshot reads will reduce accuracy at matched cell-update count; extra robustness training may be necessary even when each cell has the same marginal firing rate.","cited":false,"by":[]},{"id":"SOC-01","area":"llm-agent-swarms","title":"Separate information diversity from model diversity","q":"When does mixing model families help beyond giving identical models complementary evidence?","h":"Complementary observations explain more distributed-task improvement than family labels; family mixing adds value only when it reduces residual shared errors after capability is controlled.","cited":false,"by":[]},{"id":"SOC-02","area":"llm-agent-swarms","title":"Measure effective team size on distributed evidence","q":"Does effective team size increase with population when each worker holds useful private evidence?","h":"Communication increases effective evidence on complementary tasks but creates a ceiling when observations overlap; answer agreement alone overstates independence.","cited":true,"by":["optimal-swarm-size-q1"]},{"id":"SOC-03","area":"llm-agent-swarms","title":"Distinguish group failure from a strict scoring rule","q":"How much apparent deterioration with team size comes from requiring every agent to answer correctly?","h":"All-agents-correct scoring declines faster than a designated final answer even when individual accuracy and integration quality stay stable.","cited":false,"by":[]},{"id":"SOC-04","area":"llm-agent-swarms","title":"Ablate why semantic routing works","q":"Do complementary-information routing signals outperform simple direct addressing once delivery is matched?","h":"Complementarity helps when private evidence is distributed, while direct addressing alone explains gains on obvious request-response tasks.","cited":false,"by":[]},{"id":"SOC-05","area":"llm-agent-swarms","title":"Measure reading capacity separately from wording bias","q":"Does increasing inbox capacity improve truth finding after controlling the bias induced by claim wording?","h":"Capacity helps only when the wording-induced prior is weak; otherwise more communication can amplify a biased starting field.","cited":false,"by":[]},{"id":"SOC-06","area":"llm-agent-swarms","title":"Social influence or ordinary anchoring?","q":"Does a peer-labelled opinion change judgments more than identical information presented as a numeric anchor?","h":"Most apparent social coupling on simple judgments is explained by anchoring; an additional social effect emerges only for evidence-bearing peers.","cited":false,"by":[]},{"id":"SOC-07","area":"llm-agent-swarms","title":"Protect private judgments before public discussion","q":"Does requiring a private pre-discussion answer preserve useful minority evidence without preventing correction?","h":"A private committed judgment reduces unsupported public conformity, but the benefit disappears when the commitment becomes an instruction never to revise.","cited":true,"by":["discussion-dose","discussion-dose-v2","discussion-dose-v3","soc07-private-judgments","sybil-scale-xl"]},{"id":"SOC-08","area":"llm-agent-swarms","title":"Stop on evidence sufficiency instead of verbal agreement","q":"Can a checkable evidence checklist improve the speed-accuracy tradeoff for group commitment?","h":"Requiring coverage of task-relevant facts reduces premature commitment more efficiently than adding a fixed number of discussion rounds.","cited":true,"by":["adaptive-quorum"]},{"id":"SOC-09","area":"llm-agent-swarms","title":"Evidence-seeking critics versus generic opposition","q":"When does a critic improve an answer rather than merely add another expensive pass?","h":"A critic required to request or cite a discriminating observation corrects more wrong answers than an equally funded generic skeptic.","cited":false,"by":[]},{"id":"SOC-10","area":"llm-agent-swarms","title":"Test dissent quality rather than dissent quantity","q":"Will a group weight a dissenting claim by evidence quality when the critic is confidently wrong?","h":"Evidence-quality metadata improves correction only when recipients can inspect the underlying observation; confidence labels alone increase harmful reversals.","cited":false,"by":[]},{"id":"SOC-11","area":"llm-agent-swarms","title":"Make uncertainty useful without forcing abstention","q":"Does explicit uncertainty sharing help groups ask the right follow-up question?","h":"A short statement of what evidence is missing improves allocation of verification effort more than a scalar confidence score.","cited":false,"by":[]},{"id":"SOC-12","area":"llm-agent-swarms","title":"Useful disagreement after a changing task","q":"Does preserving a minority answer help adaptation when the environment changes?","h":"A bounded minority-report slot speeds adaptation after a real state change but wastes budget when disagreement has no evidence behind it.","cited":false,"by":[]},{"id":"SOC-13","area":"llm-agent-swarms","title":"Separate discovery time from discussion time","q":"Does delaying communication improve search coverage before the team integrates results?","h":"An initial independent exploration phase reduces redundant search and improves final solutions on decomposable tasks, but harms tightly coupled tasks.","cited":false,"by":[]},{"id":"SOC-14","area":"llm-agent-swarms","title":"Treat shared artifacts as a communication channel","q":"How much coordination is carried by artifact observation rather than explicit messages?","h":"Artifact access explains most reuse in construction tasks, while explicit messages help chiefly when observations are costly or ambiguous.","cited":false,"by":[]},{"id":"SOC-15","area":"llm-agent-swarms","title":"Asynchronous teams under uneven tool latency","q":"When does asynchronous work beat round-based discussion once stale information is counted?","h":"Asynchrony improves completion under variable tool delays but loses accuracy when rapid state changes make old messages misleading.","cited":false,"by":[]},{"id":"SOC-16","area":"llm-agent-swarms","title":"Allocate roles by observed bottlenecks","q":"Can teams choose useful temporary roles from their actual information deficits?","h":"Reallocating a limited role budget toward unresolved subproblems improves completion more than fixed persona assignments.","cited":false,"by":[]},{"id":"SOC-17","area":"llm-agent-swarms","title":"Separate a leader's name from its information","q":"Does apparent authority change task outcomes beyond the content of the same proposal?","h":"Leader labels change adoption without improving execution; useful influence is better predicted by evidence quality than message volume.","cited":false,"by":[]},{"id":"SOC-18","area":"llm-agent-swarms","title":"Rotate coordination without losing continuity","q":"Can rotating a coordinator improve resilience while preserving accumulated task knowledge?","h":"Rotation helps after coordinator loss only when a compact public task ledger is available; otherwise handoff cost outweighs redundancy.","cited":false,"by":[]},{"id":"SOC-19","area":"llm-agent-swarms","title":"Ask a specific peer instead of broadcasting","q":"Are targeted evidence requests more useful than broadcasting everything under the same attention budget?","h":"Targeted requests reduce wasted delivery when tasks have sparse dependencies, but miss surprises that a board would expose.","cited":false,"by":[]},{"id":"SOC-20","area":"llm-agent-swarms","title":"Recognize unachievable tasks and request repair","q":"Can a team identify missing prerequisites without abandoning difficult but solvable work?","h":"A bounded impossibility-check step reduces wasted collective exploration on unreachable tasks while retaining success on hard solvable controls.","cited":false,"by":[]},{"id":"SOC-21","area":"llm-agent-swarms","title":"Compress memory by information value","q":"Which memory contents preserve useful collective knowledge under a fixed context limit?","h":"Retaining rare task-relevant observations and unresolved questions beats recency-only summaries on future tasks requiring distributed facts.","cited":false,"by":[]},{"id":"SOC-22","area":"llm-agent-swarms","title":"Spend redundancy on rare knowledge","q":"Is selective replication better than uniformly duplicating every workers notes?","h":"Replicating uniquely held useful observations improves fault tolerance more per stored token than uniform replication.","cited":false,"by":[]},{"id":"SOC-23","area":"llm-agent-swarms","title":"Recover function after genuine knowledge loss","q":"When can a replacement worker reconstruct missing evidence from the environment rather than a hidden backup?","h":"A task-aware reacquisition policy recovers function more efficiently than restarting all workers when evidence is recoverable, but cannot restore permanently destroyed unique facts.","cited":false,"by":[]},{"id":"SOC-24","area":"llm-agent-swarms","title":"What survives complete population turnover?","q":"Do useful procedures survive replacement through shared artifacts, direct interaction or model priors?","h":"Artifact access preserves task procedures through turnover, while naming conventions can persist without producing better held-out performance.","cited":true,"by":["swarm-of-theseus"]},{"id":"SOC-25","area":"llm-agent-swarms","title":"Retire an obsolete convention after the task changes","q":"Can a population keep useful traditions while abandoning a convention that has become costly?","h":"A periodic outcome review accelerates adaptation more than replacing members, because newcomers otherwise inherit the same obsolete guide.","cited":false,"by":[]},{"id":"SOC-26","area":"llm-agent-swarms","title":"Reward a useful portfolio instead of one champion","q":"Does rewarding complementary artifacts change the value of sharing in collective invention?","h":"Shared work benefits portfolio resilience more than best-artifact quality; a portfolio-aware selection rule preserves that advantage under limited evaluation budgets.","cited":false,"by":[]},{"id":"SOC-27","area":"llm-agent-swarms","title":"Credit verified contributions instead of message volume","q":"Does contribution credit increase useful shared work or merely change how agents report it?","h":"Credit tied to independently validated artifacts increases useful contributions more than visibility-based credit, but may reduce help on uncredited tasks.","cited":false,"by":[]},{"id":"SOC-28","area":"llm-agent-swarms","title":"Pay for verification as a public good","q":"Can a small shared verification allowance prevent everyone from waiting for somebody else to check a result?","h":"Explicitly funding one verifier per disputed artifact reduces duplicated checks and unchecked reuse more than an unfunded request for caution.","cited":false,"by":[]},{"id":"SOC-29","area":"llm-agent-swarms","title":"Make a report lead to a verifiable response","q":"Does an acknowledged review channel improve remediation beyond simply making reporting available?","h":"A structured report with a bounded response deadline raises verified correction without a disproportionate rise in false interventions.","cited":false,"by":[]},{"id":"SOC-30","area":"llm-agent-swarms","title":"Appeal false rejections without overwhelming review","q":"When is an appeal step worth its cost in collective artifact review?","h":"A single evidence-bearing appeal restores valid work mistakenly rejected by peers, with gains concentrated where first-pass review is noisy.","cited":false,"by":[]},{"id":"SOC-31","area":"llm-agent-swarms","title":"Find where uncertainty disappears in retelling","q":"Which message format preserves a claims scope and uncertainty across repeated summaries?","h":"Separating observation, inference and uncertainty in a short template reduces certainty inflation more than adding a generic accuracy warning.","cited":false,"by":[]},{"id":"SOC-32","area":"llm-agent-swarms","title":"Stress-test a casefile when logs are missing","q":"Can evidence-linked casefiles prevent an automated investigator from inventing causal connections under partial logs?","h":"Explicit missing-record markers improve abstention and supported answers relative to a polished chronological summary.","cited":false,"by":[]},{"id":"SOC-33","area":"llm-agent-swarms","title":"Predict unseen agents' choices from one agent","q":"How far does a benign choice model learned from one agent transfer across roles and model families?","h":"A choice predictor transfers within a shared model and task rubric better than across roles, and adds little beyond a generic task-feature baseline after role changes.","cited":false,"by":[]},{"id":"SOC-34","area":"llm-agent-swarms","title":"Separate wording convergence from changed decisions","q":"Does a group that starts using the same wording also make the same substantive choices?","h":"Visible examples increase lexical similarity more reliably than they change independently scored beliefs or actions.","cited":false,"by":[]},{"id":"SOC-35","area":"llm-agent-swarms","title":"Validate a cheap surrogate at the collective level","q":"Can a model of individual updates reproduce group-level outcomes on new questions and network structures?","h":"At equal calibration cost, a surrogate including claim-specific priors and observed history improves collective forecasts within the calibration distribution, but its advantage shrinks on new question families or topologies.","cited":false,"by":[]},{"id":"SOC-36","area":"llm-agent-swarms","title":"Rank trace clusters by useful evidence, not spectacle","q":"Can a transparent triage rule retrieve useful coordination cases across different scaffolds?","h":"Features tied to verifiable shared artifacts transfer better than repeated phrasing or temporal coincidence, but performance falls when access logs are absent.","cited":false,"by":[]},{"id":"SOC-37","area":"llm-agent-swarms","title":"Does profiling improve influence through ordinary retrieval?","q":"Does tailoring a bounded external document from one agents observed choices shift an unseen groups decisions more than generic framing?","h":"Tailoring produces greater held-out target-choice lift than generic framing, with a larger incremental effect when peer communication is enabled.","cited":false,"by":[]},{"id":"SOC-38","area":"llm-agent-swarms","title":"Select complementary teams on a separate task set","q":"Does observed error complementarity select better teams than family diversity once member capability and selection cost are matched?","h":"A capability-controlled complementarity selector improves held-out team accuracy over family-balanced selection within a domain, but its advantage shrinks after a task-family shift.","cited":false,"by":[]},{"id":"SOC-39","area":"llm-agent-swarms","title":"The same average correlation can hide different failures","q":"Do panels with equal average accuracy and pairwise correlation need different aggregation rules when their shared-error pattern differs?","h":"Error structures concentrated in a subgroup favor dependence-aware weighting more than errors shared across the whole panel, despite matched mean correlation.","cited":false,"by":[]},{"id":"SOC-40","area":"llm-agent-swarms","title":"Keep small deliberating groups independent until the end","q":"Does isolating small discussion groups preserve more useful correction than one fully connected discussion?","h":"Small isolated groups followed by answer-only fusion outperform full-group discussion for heterogeneous workers, with little benefit for model clones.","cited":false,"by":[]},{"id":"SOC-41","area":"llm-agent-swarms","title":"Diverse interpretations versus diverse personas","q":"Can alternative valid interpretations of a question create useful answer diversity more reliably than assigning personality profiles?","h":"Truth-preserving question reframing increases correct-answer coverage and final accuracy more than equally long persona variation at fixed model and evidence.","cited":false,"by":[]},{"id":"SOC-42","area":"llm-agent-swarms","title":"More correct candidates or a better final selector?","q":"When additional sampling stops improving accuracy, is the bottleneck generating a correct answer or choosing one?","h":"After correct-answer coverage saturates, shifting a fixed budget from extra samples to evidence-based selection improves final accuracy more than continued voting.","cited":false,"by":[]},{"id":"SOC-43","area":"llm-agent-swarms","title":"Abstain when confidence is high but errors are shared","q":"Does a calibrated confidence gate still improve collective decisions when high-confidence failures are correlated?","h":"Confidence-only abstention improves selective accuracy under weak dependence but loses its advantage when shared confident mistakes dominate; a dependence-risk gate recovers accuracy at matched coverage.","cited":false,"by":[]},{"id":"SOC-44","area":"llm-agent-swarms","title":"Preference optimization and shared mistakes beyond familiar QA","q":"Does the error-correlation increase seen after preference optimization persist on newly generated distributed-evidence tasks?","h":"Matched SFT-to-DPO checkpoint transitions increase shared errors more on familiar misconception questions than on novel tasks whose necessary facts are fully supplied.","cited":false,"by":[]},{"id":"SOC-45","area":"llm-agent-swarms","title":"Does local memory preserve a convention after pressure ends?","q":"Does a convention calibrated as metastable under whole-population observation remain persistent under local encounters and bounded memory?","h":"Under local encounters, bounded memory prolongs post-pressure convention persistence, especially for pairs near the stability boundary calibrated under whole-population observation.","cited":false,"by":[]},{"id":"SEC-01","area":"fork-merge-security","title":"Does hiding the returning fork survive metadata?","q":"When does private selection of one returning text report reduce targeted corruption?","h":"Unreviewed hunch: Private selection helps against a budget-limited attacker choosing targets before selection, but the gain shrinks when report timing or task assignment reveals the selected pool.","cited":false,"by":[]},{"id":"SEC-02","area":"fork-merge-security","title":"Keep merge decisions outside an untrusted child","q":"Does sampling the returner only after reports are committed protect selection better than giving each child its own selection predicate?","h":"Unreviewed hunch: A parent-held postcommit draw resists a replay-capable local host better than a secret predicate carried by the child, provided the host cannot revise or withhold the already committed report without detection.","cited":false,"by":[]},{"id":"SEC-03","area":"fork-merge-security","title":"Count evidence domains rather than returning copies","q":"Can a merge quorum based on auditable evidence sources beat a quorum over nominal forks?","h":"Unreviewed hunch: Source-grouped voting reduces common-source errors at matched compute, but loses the advantage when source overlap is hidden or honest sources share the same upstream error.","cited":false,"by":[]},{"id":"SEC-04","area":"fork-merge-security","title":"Separate returned evidence from permission changes","q":"How much corruption comes from a returning report changing the parent's authority rather than its factual beliefs?","h":"Unreviewed hunch: An enforced typed return interface retains factual learning while reducing report-driven permission or persistent-instruction changes under incomplete taint observations.","cited":false,"by":[]},{"id":"SEC-05","area":"fork-merge-security","title":"Preserve uncertainty through repeated compaction","q":"Can concise memory summaries retain uncertain origins without becoming too large to use?","h":"Unreviewed hunch: A compact explicit provenance-and-authority envelope reduces unsupported promotion through repeated summarization at equal context budget, particularly when two weak sources appear to corroborate one another.","cited":false,"by":[]},{"id":"SEC-06","area":"fork-merge-security","title":"Repair when the dependency graph is wrong","q":"How should a parent retract a false claim when some derived memories have missing or incorrect parents?","h":"Unreviewed hunch: Selective quarantine plus fresh evidence gathering retains more useful state than global reset and produces fewer recurring errors than recorded-edge rollback alone.","cited":false,"by":[]},{"id":"SEC-07","area":"fork-merge-security","title":"Stale children can undo a correction","q":"Can a corrected parent safely reintegrate a fork that left before the correction?","h":"Unreviewed hunch: Version-bound return records with explicit revalidation reduce stale-memory reintroduction better than ordinary timestamps, without requiring rejection of every late report.","cited":false,"by":[]},{"id":"SEC-08","area":"fork-merge-security","title":"Protect the honest return channel","q":"Can a corrupted child dominate the parent by consuming attention even when honest children remain a majority?","h":"Unreviewed hunch: A reserved correction channel and contribution-aware queue reduce parent error more than per-identity fair queueing when long or repeated reports crowd out useful dissent.","cited":false,"by":[]},{"id":"SEC-09","area":"fork-merge-security","title":"Screen the combination, not only each weight update","q":"When does testing each returned weight update miss failures created only by their combination?","h":"Unreviewed hunch: Small joint-composition audits catch some failures missed by standalone screening, but pairwise tests fail when interactions require larger coalitions or differ from the final merge rule.","cited":false,"by":[]},{"id":"SEC-10","area":"fork-merge-security","title":"Distinguish useful specialization from harmful drift","q":"Do merge validators reject useful unusual expertise because it differs from the parent's expectations?","h":"Unreviewed hunch: Validators that check task-specific evidence and authority separately accept more useful divergent reports at the same harmful-admission rate than similarity-to-parent screening.","cited":false,"by":[]},{"id":"SEC-11","area":"fork-merge-security","title":"Does merge order change what the parent believes?","q":"How much does sequential report order change a parent's final state when the underlying evidence is identical?","h":"Unreviewed hunch: Staging all claims before joint consolidation reduces order-induced authority promotion compared with repeated immediate summarization, especially when corrections arrive late.","cited":false,"by":[]},{"id":"SEC-12","area":"fork-merge-security","title":"What kind of validator diversity actually helps?","q":"Does using a different model to validate returned work help beyond changing its evidence and tools?","h":"Unreviewed hunch: Independent evidence access reduces joint validator failures more reliably than model-name diversity alone, although the effects can interact.","cited":false,"by":[]},{"id":"SEC-13","area":"sybil-resistance","title":"Budget useful attention when identities are cheap","q":"Which accounting unit limits a single contributor's attention capture without knowing its operator identity?","h":"Unreviewed hunch: Charging scarce credits for admitted tokens is more resistant to identity splitting than equal per-identity slots, but free correction access needs separate protection.","cited":false,"by":[]},{"id":"SEC-14","area":"sybil-resistance","title":"Coalition caps with noisy contribution estimates","q":"Can joint-contribution caps deter duplicate agent submissions when task value is only approximately measurable?","h":"Unreviewed hunch: A cap over observable subsets reduces payouts from duplicate submissions, but measurement noise and complementary contributions create a practical accuracy-cost limit.","cited":false,"by":[]},{"id":"SEC-15","area":"sybil-resistance","title":"Reputation should not become transferable expertise","q":"Can a router gain from sharing reputation across related skills without letting cheap successes purchase authority on untested skills?","h":"Unreviewed hunch: A small verified target-skill evidence requirement reduces cross-skill laundering while retaining much of the benefit of partial pooling for sparse honest agents.","cited":false,"by":[]},{"id":"SEC-16","area":"sybil-resistance","title":"Re-entry penalties versus the newcomer tax","q":"How can a service discourage retire-and-replace identities without permanently favoring incumbents?","h":"Unreviewed hunch: Refundable deposits tied to verified work limit profitable re-entry more efficiently than long probation when legitimate newcomers have diverse quality and liquidity.","cited":false,"by":[]},{"id":"SEC-17","area":"sybil-resistance","title":"Private rate limits across many credentials","q":"What does anonymous rate limiting guarantee when one principal can legitimately hold several credentials?","h":"Unreviewed hunch: Per-epoch nullifiers prevent reuse of one allowance but total usage still scales with acquired credentials unless a conserved resource is bound across them.","cited":false,"by":[]},{"id":"SEC-18","area":"sybil-resistance","title":"Identity-invariant selection can still concentrate knowledge","q":"Does stake-weighted assignment preserve independent evidence when money and expertise are unevenly distributed?","h":"Unreviewed hunch: Selection proportional to a conserved stake can resist simple stake splitting while reducing epistemic diversity if stake concentrates in contributors sharing evidence or models.","cited":false,"by":[]},{"id":"SEC-19","area":"sybil-resistance","title":"Do graph defenses mistake new teams for Sybils?","q":"How do trust-graph Sybil defenses behave when legitimate agent teams are intentionally modular?","h":"Unreviewed hunch: Community-based admission disproportionately rejects honest specialist teams joined by a few bridge edges; outcome-verified bridges help more than adding unverified interactions.","cited":true,"by":["sybil-scale-api","sybil-specialists","sybil-specialists-api"]},{"id":"SEC-20","area":"sybil-resistance","title":"One human credential does not mean one autonomous agent","q":"What influence bound survives when genuine credential holders delegate or pool their access?","h":"Unreviewed hunch: A per-person admission limit bounds issued seats under its issuer assumptions but does not bound common decision-making control after permitted delegation.","cited":false,"by":[]},{"id":"SEC-21","area":"sybil-resistance","title":"Audit what an attestation actually identifies","q":"Can an agent registry distinguish software integrity, machine identity, runtime instance, and operator ownership?","h":"Unreviewed hunch: A registry using workload measurements alone accepts many indistinguishable replicas; binding an instance challenge improves replay detection but still does not establish distinct operators.","cited":false,"by":[]},{"id":"SEC-22","area":"sybil-resistance","title":"Do agents spam because timing rewards attempts?","q":"Can explicit allocation of task opportunities reduce redundant polling without suppressing useful competition?","h":"Unreviewed hunch: When rewards depend on being first after a delayed signal, an explicit scheduled allocation reduces wasted attempts compared with cheap polling; gains depend on honest access to opportunity information.","cited":false,"by":[]},{"id":"SEC-23","area":"sybil-resistance","title":"Physical identity under multiple radios and motion","q":"When does a radio fingerprint stop being a useful bound on distinct robots?","h":"Unreviewed hunch: Spatial fingerprint confidence degrades under co-located honest robots and multi-radio adversaries; fusing independent motion observations improves calibration without proving distinct operators.","cited":false,"by":[]},{"id":"SEC-24","area":"sybil-resistance","title":"Stop fake value even when every identity is real","q":"Can contribution verification resist colluding distinct participants whose work looks mutually supportive but adds no task value?","h":"Unreviewed hunch: External held-out task evaluation reduces circular endorsement rewards more than identity verification or contribution-graph topology alone.","cited":false,"by":[]},{"id":"SEC-25","area":"swarm-detection","title":"Separate model, prompt, scaffold, and operator attribution","q":"Which entity does a conversational fingerprint actually identify?","h":"Unreviewed hunch: Many apparent operator-linking gains disappear when unrelated operators reuse the same prompt or scaffold, while some useful same-operator evidence remains after controlling those factors.","cited":false,"by":[]},{"id":"SEC-26","area":"swarm-detection","title":"Measure the simulator fingerprint before measuring swarms","q":"How much detection performance comes from the recipe used to create the benchmark?","h":"Unreviewed hunch: Random session splits substantially overstate generalization when the same generator, prompt templates, or collection process appears in train and test.","cited":false,"by":[]},{"id":"SEC-27","area":"swarm-detection","title":"Shared news is not necessarily shared control","q":"Can a detector distinguish common external exposure from direct peer influence?","h":"Unreviewed hunch: Randomized information routing reveals that some timing-and-content coordination scores respond as strongly to shared public updates as to peer communication.","cited":false,"by":[]},{"id":"SEC-28","area":"swarm-detection","title":"A canary identifies a route, not always an operator","q":"What attribution can a per-recipient canary support when content passes through shared caches or search services?","h":"Unreviewed hunch: Distinct harmless canaries identify exposure pathways more reliably than direct ownership; shared intermediaries create false operator links unless routing uncertainty is reported.","cited":false,"by":[]},{"id":"SEC-29","area":"swarm-detection","title":"Does shared memory teach agents to recognize test probes?","q":"How quickly does a canary detector lose sensitivity when a team can pool experience about the test environment?","h":"Unreviewed hunch: A fixed probe family becomes less diagnostic under pooled memory than under isolated sessions; rotating superficial token values does less than changing the underlying observable probe mechanism.","cited":false,"by":[]},{"id":"SEC-30","area":"swarm-detection","title":"Would the detector produce a useful review queue?","q":"Does high balanced-benchmark accuracy translate into useful precision when coordinated agent traffic is rare?","h":"Unreviewed hunch: Several apparently strong detectors produce mostly false alerts at low prevalence, and calibration plus abstention can improve review yield while leaving substantial missed activity.","cited":false,"by":[]},{"id":"SEC-31","area":"swarm-detection","title":"Separate assistance from autonomous action","q":"Can observable traces distinguish a human using AI for wording from an autonomous agent completing the whole task?","h":"Unreviewed hunch: Text-only detectors confound assistance with autonomy; consented interaction traces improve separation but vary strongly with accessibility tools and task type.","cited":false,"by":[]},{"id":"SEC-32","area":"swarm-detection","title":"Are browser detectors detecting the automation library?","q":"How much browser-agent detection survives a change in the control interface?","h":"Unreviewed hunch: Performance based on missing mouse events and click timing degrades across control stacks, even when task autonomy and model family stay fixed.","cited":false,"by":[]},{"id":"SEC-33","area":"swarm-detection","title":"A shared funder may be a service, not a shared owner","q":"Can on-chain behavioral clustering distinguish common ownership from use of the same funding or automation service?","h":"Unreviewed hunch: First-funder clustering overlinks independent users of a shared service; combining task-level behavior helps only if evaluation labels are independent of those same features.","cited":false,"by":[]},{"id":"SEC-34","area":"swarm-detection","title":"What disappears when only successful activity is logged?","q":"How does selective trace loss bias estimates of swarm size and coordination?","h":"Unreviewed hunch: Logs that omit blocked requests, failed tool calls, or private channels can reverse the ranking of coordination detectors, not merely lower all scores uniformly.","cited":false,"by":[]},{"id":"SEC-35","area":"swarm-detection","title":"How quickly does an attribution detector expire?","q":"What happens to model and campaign attribution after model, prompt, or scaffold updates?","h":"Unreviewed hunch: Model, prompt, or scaffold changes can make a detector's confidence miscalibrated, and selective abstention with a small fresh calibration set limits false attribution.","cited":false,"by":[]},{"id":"SEC-36","area":"swarm-detection","title":"Detect coordination with less identifying telemetry","q":"How much useful coordination detection survives when detailed identifiers and raw message content are removed?","h":"Unreviewed hunch: Coarse timing and task-category aggregates retain some campaign-level signal but fail on benign synchronized teams unless the detector explicitly models shared schedules.","cited":false,"by":[]},{"id":"SEC-37","area":"sybil-resistance","title":"Bundle allocation when tasks complement or interfere","q":"Which agent-task allocations remain resistant to false-name bids when useful work requires bundles of compute, tools, or time slots?","h":"Unreviewed hunch: A mechanism designed for additive task values becomes vulnerable when complementary bundles or resource conflicts are introduced; a correctly scoped false-name-proof baseline reduces manipulation at a measurable welfare cost.","cited":false,"by":[]},{"id":"SEC-38","area":"sybil-resistance","title":"Can a tiny counterexample invalidate our allocator?","q":"Can exact small-instance tests expose false-name incentives that ordinary performance benchmarks miss?","h":"Unreviewed hunch: Searching allocation-rule constraints and concrete split deviations finds counterexamples to plausible agent routers that appear robust under random identity multiplication.","cited":false,"by":[]},{"id":"SEC-39","area":"sybil-resistance","title":"A queue may reward splitting work or merging it","q":"Does charging for declared jobs discourage identity splitting while creating incentives to merge unrelated work?","h":"Unreviewed hunch: A scheduling rule tuned to resist job splitting can still reward merging or transferring work, even when total processing time is unchanged.","cited":false,"by":[]},{"id":"SEC-40","area":"sybil-resistance","title":"Do small participation costs preserve useful collective choice?","q":"Can a nonmonetary or credit cost per extra vote make collective preferences responsive without letting wealthy coalitions dominate?","h":"Unreviewed hunch: A rule calibrated to uniform individual participation costs loses its intended false-name bound when costs vary or coalition members share them.","cited":false,"by":[]},{"id":"SEC-41","area":"sybil-resistance","title":"Fake intermediaries in a chain of trust","q":"Does inserting agent intermediaries create more total usable trust than the original principal earned?","h":"Unreviewed hunch: Naive multiplicative or additive reputation forwarding permits trust amplification through extra intermediaries, whereas a conserved exposure budget limits it at a cost to legitimate indirect cooperation.","cited":false,"by":[]},{"id":"SEC-42","area":"sybil-resistance","title":"False availability windows in online task markets","q":"Can one agent gain priority by representing the same capacity as several short-lived bidders with different arrival windows?","h":"Unreviewed hunch: An allocator robust to static bid splitting can remain vulnerable to temporal splitting when it trusts self-declared availability or permits costless cancellation.","cited":false,"by":[]},{"id":"SEC-43","area":"sybil-resistance","title":"Who should a trust network verify first?","q":"Can a small verification budget admit honest specialist communities without granting broad influence to cheap endorsements?","h":"Unreviewed hunch: Verification selected to improve trusted connectivity admits more useful honest teams than selecting the highest-degree identities, but benefits shrink when endorsements are easy for adversaries to acquire.","cited":true,"by":["sybil-scale-api","sybil-specialists","sybil-specialists-api"]},{"id":"SEC-44","area":"sybil-resistance","title":"Conserved voting weight can still change bargaining power","q":"Can splitting a fixed resource weight alter the credit or bargaining power assigned to one contributor even when its nominal total votes are unchanged?","h":"Unreviewed hunch: Attribution based on a power index can reward or punish identity splitting while stake-proportional seat probability remains invariant; the two outcomes should not be conflated.","cited":false,"by":[]},{"id":"SEC-45","area":"fork-merge-security","title":"Does a false fact spread like a policy violation?","q":"Can containment measured on ordinary erroneous claims predict containment of instructions that request unauthorized behavior?","h":"Unreviewed hunch: Rankings of containment policies differ between factual-error propagation and policy-violation propagation even with matched contact opportunities and apparent credibility.","cited":false,"by":[]},{"id":"SEC-46","area":"fork-merge-security","title":"Shared tools can reconnect isolated children","q":"Does cutting peer messages contain contamination when children still share a retrieval store or tool output cache?","h":"Unreviewed hunch: Peer isolation alone leaves a reusable shared-store pathway, while targeted store invalidation plus isolated revalidation reduces reinfection with less utility loss than disabling every shared tool.","cited":false,"by":[]},{"id":"SEC-47","area":"fork-merge-security","title":"Where does the full fork-and-return chain actually fail?","q":"Which stage contributes most to parent corruption when a clean child first encounters untrusted material during legitimate work?","h":"Unreviewed hunch: End-to-end parent failure is substantially lower than susceptibility measured after directly installing a compromised child state, and the dominant bottleneck changes with the returned object.","cited":true,"by":["discussion-dose","discussion-dose-v2","discussion-dose-v3"]},{"id":"SEC-48","area":"fork-merge-security","title":"When can an isolated child safely return?","q":"What evidence should allow a quarantined child back into the merge without discarding its useful discoveries?","h":"Unreviewed hunch: Release based on held-out behavior plus constrained return capabilities reduces recurrence more than a single clean response, while retaining more useful work than permanent exclusion.","cited":false,"by":[]},{"id":"SEC-49","area":"fork-merge-security","title":"Recovery can look good after damage is already done","q":"Can a defense with excellent final recovery still produce worse cumulative consequences than an earlier, less complete containment policy?","h":"Unreviewed hunch: Ranking policies by final clean-agent fraction can reverse their ranking by cumulative mock harm and retained task usefulness when recovery arrives after consequential actions.","cited":false,"by":[]},{"id":"SEC-50","area":"swarm-detection","title":"A detector that isolates nodes changes the evidence","q":"Does a graph monitor still identify useful interventions once isolation changes who can communicate and finish the task?","h":"Unreviewed hunch: The best static anomaly classifier is not always the best live isolation policy, because false isolation removes legitimate expertise and also changes later observable traces.","cited":false,"by":[]},{"id":"SEC-51","area":"fork-merge-security","title":"Can harmless evaluator preferences narrow a swarm's reasoning?","q":"Can peer evaluation drive strategy convergence without spreading a false claim or any malicious instruction?","h":"Unreviewed hunch: Shared evaluator preferences reduce strategy diversity beyond ordinary task-driven convergence, and diverse evaluators help only when their judgments add independent information at matched budget.","cited":false,"by":[]},{"id":"SEC-52","area":"fork-merge-security","title":"Do small per-merge failures accumulate across generations?","q":"Can a gate that looks effective on one return remain useful over repeated fork, learning, return, and restart cycles?","h":"Unreviewed hunch: A fixed per-return admission gate understates long-run recurrence when accepted state becomes a shared starting point for later children; periodic revalidation trades retained knowledge for reduced accumulation.","cited":true,"by":["discussion-dose","discussion-dose-v2","discussion-dose-v3"]},{"id":"SEC-53","area":"sybil-resistance","title":"Can reliable service history hide selective routing failure?","q":"Does reputation-based peer routing remain useful when a contributor behaves correctly on common requests but withholds a narrow class of important results?","h":"Unreviewed hunch: A global peer score can retain selectively unreliable identities, while task-conditioned checks improve retrieval coverage at the cost of sparse evidence and newcomer burden.","cited":false,"by":[]},{"id":"SEC-54","area":"fork-merge-security","title":"When permitted specialist actions compose into a forbidden outcome","q":"Does fragmentation of a task across capability-restricted agents increase prohibited end-to-end outcomes even when each executed step obeys its local rule?","h":"Unreviewed hunch: Fragmented intent increases prohibited composition under local-operation helper policies; end-to-end helper policies reduce attempts, while enforced provenance checks reduce realized effects even when upstream agents cooperate.","cited":true,"by":["compositional-safety"]},{"id":"SEC-55","area":"swarm-detection","title":"Causal audits when provenance is incomplete","q":"At a fixed review budget, does tracing cross-agent ancestry still improve safe task completion when dependency edges are missing, spurious or semantically misleading?","h":"Unreviewed hunch: A causal audit with explicit unknown-edge handling yields more legitimate completions at a fixed tolerated violation rate than per-agent or recent-window review, but its advantage falls as relevant ancestry becomes unobservable.","cited":false,"by":[]},{"id":"SEC-56","area":"fork-merge-security","title":"How much finality delay buys containment?","q":"When does delaying irreversible effects give a swarm auditor enough time to contain violations without losing more legitimate task value than it saves?","h":"Unreviewed hunch: Containment tracks the distribution of total detection-and-response latency relative to finality deadlines; a bounded delay can improve useful completion under a violation constraint, but audit congestion erodes that benefit.","cited":false,"by":[]},{"id":"MET-01","area":"criticality-measurement","title":"Criticality beyond a geometric signature","q":"Can apparent scale-free correlation be distinguished from a finite-size or mean-subtraction artifact?","h":"A critical interaction model will predict held-out response scaling better than independent motion with matched group geometry, even if both show a correlation zero crossing.","cited":false,"by":[]},{"id":"MET-02","area":"criticality-measurement","title":"Sensitivity versus false alarms","q":"Does maximum collective responsiveness also maximize useful decisions under asymmetric error costs?","h":"The best operating point will move below the response maximum when false alarms are costly.","cited":false,"by":[]},{"id":"MET-03","area":"criticality-measurement","title":"What incomplete observation hides","q":"Which collective measurements survive seeing only a biased fraction of the swarm?","h":"Spatial or degree-biased missingness will distort inferred coordination more than random dropout at the same coverage.","cited":false,"by":[]},{"id":"MET-04","area":"criticality-measurement","title":"Does a synergy score predict useful complementarity?","q":"Can an information-theoretic collective score forecast the damage caused by removing coordination?","h":"A score measured before intervention will predict task loss after breaking complementary interactions better than pairwise correlation does.","cited":false,"by":[]},{"id":"MET-05","area":"criticality-measurement","title":"Information flow under a shared driver","q":"When does apparent peer information transfer come entirely from shared external input?","h":"Conditioning on a logged common driver and testing edge interventions will remove many apparent directed links found by pairwise transfer entropy.","cited":false,"by":[]},{"id":"MET-06","area":"criticality-measurement","title":"A transition or a slow relaxation?","q":"Does observed hysteresis survive longer observation and finite-size controls?","h":"Some apparent regime switches will shrink as dwell time increases, indicating slow relaxation rather than a stable bistable region.","cited":false,"by":[]},{"id":"MET-07","area":"criticality-measurement","title":"Can different mechanisms produce the same trajectories?","q":"Can good trajectory prediction coexist with a wrong inferred interaction graph?","h":"Models with similar held-out trajectory error will disagree on the effect of targeted perturbations when fitted to passive traces alone.","cited":false,"by":[]},{"id":"MET-08","area":"criticality-measurement","title":"Early warnings on genuinely new failures","q":"Do warning signals predict future collective breakdown outside the scenarios used to design them?","h":"A multivariate warning combining slowing recovery and rising disagreement will beat a threshold on current error at matched false-alarm rate.","cited":false,"by":[]},{"id":"RL-01","area":"marl-emergence","title":"Skills with unfamiliar partners","q":"Does training with partner diversity improve zero-shot coordination at a fixed training budget?","h":"Partner-population training will improve held-out cross-play more than self-play, even after matching environment steps.","cited":false,"by":[]},{"id":"RL-02","area":"marl-emergence","title":"Credit for a rare essential contribution","q":"Do counterfactual rewards help when only a few agents perform indispensable actions?","h":"Counterfactual credit will improve discovery of rare cooperative actions relative to a shared reward at the same training budget.","cited":false,"by":[]},{"id":"RL-03","area":"marl-emergence","title":"Messages that remain useful under a broken channel","q":"Does training with channel corruption yield communication that generalizes beyond its training noise?","h":"Moderate channel dropout during training will preserve more task value under unseen burst loss than clean-channel training.","cited":false,"by":[]},{"id":"RL-04","area":"marl-emergence","title":"When a mean neighbor is misleading","q":"Does mean-field compression fail specifically when rare roles carry decisive information?","h":"Role-conditioned aggregation will improve decisions over an unconditioned mean as rare specialist observations become decisive.","cited":false,"by":[]},{"id":"RL-05","area":"marl-emergence","title":"Size transfer or topology transfer?","q":"Are policies described as swarm-size invariant actually robust to new interaction graphs?","h":"An invariant input encoder alone will not preserve performance when neighborhood connectivity changes at fixed density.","cited":false,"by":[]},{"id":"RL-06","area":"marl-emergence","title":"Emergent strategy or simulator exploit?","q":"Do strategies discovered by competition remain useful when nonessential simulator details change?","h":"Some apparent strategic advances will disappear under equivalent physics implementations while robust tool use persists.","cited":false,"by":[]},{"id":"RL-07","area":"marl-emergence","title":"Good reward, bad collective behavior","q":"Can a learned flock exploit an alignment reward while failing navigation or safety objectives?","h":"Optimizing alignment alone will create policies that score well while losing goal progress under obstacles.","cited":false,"by":[]},{"id":"RL-08","area":"marl-emergence","title":"Coordinating while partners keep learning","q":"Does a short history of partner behavior improve adaptation to policy drift?","h":"A history-conditioned policy will recover faster after partner changes than a memoryless policy of similar capacity.","cited":false,"by":[]},{"id":"OPT-01","area":"swarm-intelligence","title":"Performance after shifting and rotating the problem","q":"Do attractive optimizer rankings survive removal of coordinate advantages?","h":"Rankings on centered axis-aligned functions will change after random translation and rotation, beyond seed variability.","cited":false,"by":[]},{"id":"OPT-02","area":"swarm-intelligence","title":"Communication topology under a fair budget","q":"Does sparse communication improve search by preserving diversity or merely by changing computation cost?","h":"A sparse PSO topology will delay premature collapse on multimodal tasks at equal objective evaluations, with task-dependent tradeoffs.","cited":false,"by":[]},{"id":"OPT-03","area":"swarm-intelligence","title":"How much of ant-colony performance is local search?","q":"Does pheromone sharing contribute after a strong local-search component is matched?","h":"The incremental benefit of pheromone will shrink when all variants share identical local search, particularly on easy instances.","cited":false,"by":[]},{"id":"OPT-04","area":"swarm-intelligence","title":"Independent evaluations versus noisy consensus","q":"When does a shared best solution amplify measurement noise?","h":"Reevaluating promising solutions with independent noise will reduce false convergence more than adding particles at equal objective-call budget.","cited":false,"by":[]},{"id":"OPT-05","area":"swarm-intelligence","title":"When collective memory becomes stale","q":"Can selective forgetting beat full restart after the objective changes?","h":"Age-weighted best-state memory will reduce post-change regret compared with permanent memory, while retaining more value than full restart.","cited":false,"by":[]},{"id":"OPT-06","area":"swarm-intelligence","title":"Where the small-inertia approximation stops helping","q":"Does a consensus approximation retain practical optimizer behavior outside the asymptotic regime?","h":"CBO-like and PSO-like trajectories will agree better as inertia shrinks; optimization rankings will diverge more at small than large particle counts in the chosen test regime.","cited":false,"by":[]},{"id":"MTH-01","area":"meta","title":"How much certainty comes from counting the wrong units?","q":"How badly does treating interacting agents as independent samples overstate confidence?","h":"Agent-level uncertainty estimates will under-cover known episode-level effects when within-swarm dependence is strong.","cited":false,"by":[]},{"id":"MTH-02","area":"meta","title":"Do outcome labels change the conclusion?","q":"Can the same intervention improve consensus while worsening correctness or welfare?","h":"An intervention that increases agreement will sometimes reduce calibrated correctness on tasks with shared misleading evidence.","cited":false,"by":[]},{"id":"MTH-03","area":"meta","title":"Does a finding survive a model or runtime change?","q":"How portable are candidate effect sizes across model versions and orchestration scaffolds?","h":"Some intervention rankings will reverse across versions or scaffolds even when prompts and task cases are held fixed.","cited":false,"by":[]},{"id":"MTH-04","area":"meta","title":"Spend the budget on more seeds or more worlds?","q":"Which source of variation dominates uncertainty in our chosen collective task?","h":"Variation across task worlds will exceed sampling variation within a single world for at least some candidate interventions.","cited":false,"by":[]},{"id":"MTH-05","area":"meta","title":"Can an interrupted run be meaningfully resumed?","q":"Does restoring agent state without scheduler and external-response state change the collective outcome?","h":"Full replay checkpoints will preserve outcomes better than memory-only checkpoints in asynchronous synthetic tasks.","cited":false,"by":[]},{"id":"MTH-06","area":"meta","title":"How much of a discovery is selecting the best run?","q":"How often does a promising-looking effect disappear when the whole search process is accounted for?","h":"Selecting the strongest of many prompts or seeds will produce a larger discovery-to-confirmation drop than a frozen small candidate set.","cited":false,"by":[]},{"id":"SIM-01","area":"meta","title":"Private information leaks through the narrator","q":"Does a shared game master accidentally improve coordination by exposing private state?","h":"A narrator with access to every agent's private evidence will inflate apparent cooperation unless outgoing messages enforce visibility boundaries.","cited":false,"by":[]},{"id":"SIM-02","area":"meta","title":"The scheduler as an experimental treatment","q":"Does synchronous versus asynchronous activation change the effect of majority-following compared with independent updates?","h":"The benefit of majority-following over independent updates will shrink or reverse when agents see fresh state sequentially rather than simultaneous snapshots.","cited":false,"by":[]},{"id":"SIM-03","area":"meta","title":"Can the benchmark be solved without observing peers?","q":"Does a purported interaction benchmark require the observations it is intended to study?","h":"A timestep-only or memorized-action policy will solve some fixed-layout cases, but fail on held-out randomized layouts and role assignments.","cited":false,"by":[]},{"id":"SIM-04","area":"meta","title":"Same rules, different engines","q":"Do two implementations of a collective model agree after matching semantics rather than just parameter names?","h":"Apparent framework-dependent behavior will shrink after matching update order, neighborhood rules, boundaries and random-number consumption.","cited":false,"by":[]},{"id":"MTH-07","area":"meta","title":"Do failure rankings survive independent relabelling?","q":"Would our preferred trace debugger change if independent humans supplied the reference labels?","h":"Some debugger rankings will change when judge-generated error labels are replaced by adjudicated human labels, especially for blame location rather than final task failure.","cited":false,"by":[]},{"id":"MTH-08","area":"meta","title":"Does the split separate new games or just new turns?","q":"How much apparent generalization comes from seeing another turn or condition of the same underlying game?","h":"Random-row evaluation will overstate predictive accuracy relative to holding out whole game-generating sequences, beyond the gap explained by sample size.","cited":false,"by":[]},{"id":"MTH-09","area":"meta","title":"Does the evaluator know more than the acting agent?","q":"Does privileged state in archived traces make an agent look less competent than its actual information permitted?","h":"Evaluators given omniscient state will over-attribute avoidable mistakes compared with evaluators restricted to the acting agent’s legal information.","cited":false,"by":[]},{"id":"MTH-10","area":"meta","title":"Does translation preserve the interaction being measured?","q":"Do translated game logs change judgments of uncertainty, commitment or reasoning quality?","h":"English translations will systematically alter some pragmatic labels relative to the original Chinese turns, producing apparent cross-language behavior differences without changed play.","cited":false,"by":[]},{"id":"MTH-11","area":"meta","title":"Which system wins when failed runs count?","q":"Do completion-conditioned rankings agree with reliability-adjusted utility across all attempted runs?","h":"A system that looks strong on completed episodes may rank lower when malformed calls, retries and abandoned episodes are included at a fixed resource budget.","cited":false,"by":[]},{"id":"MTH-12","area":"meta","title":"When does a collection of sessions become a team?","q":"Does counting multiple agent sessions per task identify collaboration, or mostly sequential retries and handoffs?","h":"Session fan-out alone will overstate concurrent collaboration compared with a trace-based definition requiring overlapping activity and a verifiable information dependency.","cited":false,"by":[]},{"id":"MTH-13","area":"meta","title":"Is there a stable ranking of cooperative ability?","q":"Do model rankings carry across common-payoff games, mixed-motive negotiation and open-ended social goals after matching execution conditions?","h":"Within-task rankings will be more stable than cross-task rankings even after common model versions, costs and visibility are matched, weakening a single general cooperation score.","cited":false,"by":[]},{"id":"MTH-14","area":"meta","title":"Does the apparent trend survive the crawler?","q":"Can an apparent change in agent interaction be explained by collection or moderation changes rather than behavior?","h":"Some longitudinal interaction trends will shrink or reverse when analysis is restricted to a stable observation rule and overlapping entity-time coverage.","cited":false,"by":[]},{"id":"MTH-15","area":"meta","title":"Does entropy predict collaboration beyond task difficulty?","q":"Does an entropy summary identify when collaboration helps on unseen task families, beyond model and single-agent performance?","h":"Some within-benchmark entropy associations will lose predictive value after controlling for difficulty and holding out entire task families or model sizes.","cited":false,"by":[]},{"id":"SIM-05","area":"meta","title":"Can the published summary be rebuilt from committed events?","q":"Do exported metrics describe the same frozen run as the event ledger from which they are supposed to derive?","h":"Independent event-based reconstruction will expose some apparent outcome differences as export or accounting artifacts rather than agent behavior.","cited":false,"by":[]},{"id":"SIM-06","area":"marl-emergence","title":"When does offline policy evaluation stop ranking policies correctly?","q":"Does sparse joint-action coverage break offline evaluation before ordinary single-agent coverage diagnostics detect trouble?","h":"Policies whose coordinated actions fall outside joint behavior support will be misranked offline more often than policies with similar marginal but better joint support.","cited":false,"by":[]},{"id":"SIM-07","area":"meta","title":"What does a best-of-many baseline actually buy?","q":"Does a collective advantage depend on comparing one deployed group with an endpoint-wise oracle over isolated searches?","h":"The apparent collective-versus-independent ranking will depend on whether the comparator is an oracle envelope, a preselected single artifact, or a deployable portfolio at matched cost.","cited":false,"by":[]},{"id":"BUD-01","area":"agent-budgets","title":"Visible budgets in private and shared pools","q":"Does a remaining-budget display help private accounts but accelerate exhaustion of a shared pool?","h":"Under pressure, visibility improves private-account efficiency but induces earlier spending and lower group utility in a shared pool.","cited":false,"by":[]},{"id":"BUD-02","area":"agent-budgets","title":"Which parts of peer spending should be visible?","q":"Is total pool balance enough for coordination, or does naming each worker's spending change behavior?","h":"Individual spending displays increase early spending imitation without improving allocation when peers have no useful cost differences.","cited":false,"by":[]},{"id":"BUD-03","area":"agent-budgets","title":"Displayed balance versus the enforced balance","q":"Does a misleading remaining-budget display alter collective pacing beyond its effect on a single solver?","h":"An understated display increases premature stopping; an overstated display increases rejected action attempts, with larger effects in interacting groups.","cited":false,"by":[]},{"id":"BUD-04","area":"agent-budgets","title":"Context anxiety or spending anxiety?","q":"Do agents respond differently to context-window headroom and remaining action budget?","h":"Low displayed context headroom mainly changes summarization and early wrap-up, whereas low displayed action budget mainly reduces tool exploration.","cited":false,"by":[]},{"id":"BUD-05","area":"agent-budgets","title":"Use cost forecasts to release stranded budget","q":"Can calibrated completion-cost forecasts improve shared-budget reallocation without abandoning recoverable tasks?","h":"Forecasts calibrated on separate worlds support better stop-or-continue decisions than raw self-estimates at the same overall budget.","cited":false,"by":[]},{"id":"BUD-06","area":"agent-budgets","title":"Do quotas cause unnecessary spawning?","q":"Do agents create extra identities when each identity unlocks a new claim on a fixed shared pool?","h":"Per-identity quotas increase spawning and pool capture beyond task-driven delegation, especially under tight root budgets.","cited":false,"by":[]},{"id":"BUD-07","area":"agent-budgets","title":"Discovering a quota rule","q":"Does making per-identity quota information discoverable change spontaneous delegation relative to stating it explicitly?","h":"Explicit quota information increases quota-responsive spawning sooner than discoverable information; incidental discovery produces a delayed increase.","cited":false,"by":[]},{"id":"BUD-08","area":"agent-budgets","title":"Spawn fees versus lineage budgets","q":"Which quota policy suppresses wasteful spawning while preserving valuable parallel work?","h":"Lineage accounting removes quota-driven spawning with less damage to useful high-parallelism tasks than a uniform per-spawn fee.","cited":false,"by":[]},{"id":"BUD-09","area":"agent-budgets","title":"Safe escrow that still gets work done","q":"How much useful work is lost when safe preallocated budgets cannot move during a partition?","h":"Demand-informed preallocation improves deadline utility over equal escrow shares under uneven demand, but loses its advantage when demand forecasts shift.","cited":false,"by":[]},{"id":"BUD-10","area":"agent-budgets","title":"Peers, coordinator, equal shares or auction?","q":"Which allocation mechanism wins when every decision consumes the same limited root budget?","h":"A coordinator or equal shares outperform peer bargaining on homogeneous tasks; a contract-net auction helps chiefly when worker costs differ.","cited":false,"by":[]},{"id":"BUD-11","area":"agent-budgets","title":"Can cost bids beat measured capability?","q":"When workers have different task costs, should an allocator trust bids or pay to measure them?","h":"Cheap calibration trials improve allocation under noisy cost bids, but their overhead erases the benefit on small homogeneous portfolios.","cited":false,"by":[]},{"id":"BUD-12","area":"agent-budgets","title":"Replan on events or every action?","q":"Does event-triggered budget reallocation preserve coordination quality while reducing managerial cost?","h":"Event-triggered replanning improves net completion over per-action orchestration when changes are sparse, but loses under rapid unobserved changes.","cited":false,"by":[]},{"id":"BUD-13","area":"agent-budgets","title":"Difficulty-aware allocation without hindsight","q":"Can an online allocator improve over equal problem budgets without using retrospective success information?","h":"A small charged diagnostic stage improves portfolio success when problem difficulty varies, but simple equal allocation wins when diagnostic signals are weak.","cited":false,"by":[]},{"id":"BUD-14","area":"agent-budgets","title":"Divide work through a ledger alone","q":"Can visible subtask claims reduce duplicate work without a chat channel?","h":"A public claim ledger improves completion on decomposable tasks chiefly by reducing duplicated effort, with little benefit on sequential tasks.","cited":false,"by":[]},{"id":"BUD-15","area":"agent-budgets","title":"Do peer spending norms increase waste?","q":"Does observing another worker's higher spending increase an agent's own cost when its task has not become harder?","h":"A randomized upward shift in displayed peer spending raises own spending without a corresponding gain in independently scored task utility.","cited":false,"by":[]},{"id":"BUD-16","area":"agent-budgets","title":"Authority, labels and asymmetric spending rights","q":"Are budget imbalances driven by a leader label or by privileged access to the pool?","h":"Giving one worker priority spending rights shifts resource capture more than calling that worker the leader, and can reduce total task utility.","cited":false,"by":[]},{"id":"BUD-17","area":"agent-budgets","title":"Keep enough budget to finish and verify","q":"Does protecting a small finalization reserve improve completed work under a hard shared cap?","h":"A protected reserve increases validated deliverables near exhaustion, but wastes useful exploration budget when final checks are cheap or unnecessary.","cited":false,"by":[]},{"id":"BUD-18","area":"agent-budgets","title":"Tokens, money or a resource vector?","q":"Does the resource unit used by an allocator change the task portfolio it completes?","h":"A vector of token, tool and monetary limits improves feasible completion over a token-only heuristic when prices and tool costs vary.","cited":false,"by":[]},{"id":"BUD-19","area":"agent-budgets","title":"Advisory targets inside a hard cap","q":"Can an advisory target with bounded finishing room produce better outcomes than abrupt truncation at that target?","h":"A lower advisory target plus reserved finishing room reduces incomplete final actions compared with an abrupt cutoff at the same planning target.","cited":false,"by":[]},{"id":"BUD-20","area":"agent-budgets","title":"Budget accounting across tools and compaction","q":"Does preserving the correct remaining-budget signal through compaction prevent avoidable stopping or retries?","h":"A correctly carried countdown improves planning relative to reset or double-decremented displays, especially when tool results dominate new context.","cited":false,"by":[]},{"id":"BUD-21","area":"agent-budgets","title":"Train for a penalty or a strict budget?","q":"Which learned allocation objective transfers better to budget pressures absent from training?","h":"A controller trained with explicit remaining balance and a smooth violation penalty transfers better to tighter caps than one trained only with a terminal overspend cliff.","cited":false,"by":[]},{"id":"BUD-22","area":"agent-budgets","title":"Efficiency and starvation in shared budgets","q":"Can a minimum-service rule improve the least-served principal without destroying collective task value?","h":"A small protected service floor reduces zero-completion principals at modest total-utility cost when cheap tasks otherwise dominate allocation.","cited":false,"by":[]},{"id":"MKT-01","area":"llm-agent-swarms","title":"Market division when output needs sunk capacity","q":"Does the tacit market division seen in a bare two-good Cournot game survive, strengthen or vanish when each firm must build and pay for production capacity before it can sell?","h":"Sunk capacity makes division more stable: firms specialise as often as in the bare game, specialise earlier in build choices than in quantities, and re-enter a market even less often because re-entry costs machines.","cited":false,"by":[]},{"id":"MKT-02","area":"llm-agent-swarms","title":"Firms per good and the collapse of division","q":"How does tacit division change as the number of firms rises relative to the number of goods?","h":"Division holds while firms do not outnumber goods and breaks toward Cournot-Nash quantities once they do, because a clean one-firm-per-good split no longer exists.","cited":false,"by":[]},{"id":"MKT-03","area":"sybil-resistance","title":"One principal, several firms","q":"Does a principal that runs k of N firms earn more than the same principal running one firm with k times the starting capital, and how do the independent firms respond?","h":"Splitting pays: the Sybil cluster takes a larger combined output share and profit than the merged firm, and divides goods internally with no visible coordination, while independent firms end up with less than in a market of N independents.","cited":true,"by":["market-split","market-split-api"]},{"id":"MKT-04","area":"swarm-detection","title":"Telling Sybil firms from tacit colluders","q":"Can an auditor that sees only market data and build logs identify which firms share an owner, and does it confuse Sybil clusters with independent firms that colluded tacitly?","h":"Concentration-based detectors flag both, so they confuse Sybils with tacit colluders; build-graph features (timing of builds, complementary patch claims) separate them better than quantities alone.","cited":false,"by":[]},{"id":"MKT-05","area":"swarm-detection","title":"Reading the messages versus reading the market","q":"When firms can talk, does reading their messages and stated plans detect collusion better than action-based signals?","h":"Text detectors catch explicit proposals but miss tacit division and flag talk that never becomes action; action-based detectors beat them on run-level collusion.","cited":false,"by":[]},{"id":"MKT-06","area":"llm-agent-swarms","title":"No channel, public channel, private channel","q":"How does the communication channel (none, one public board, private pairwise messages) change division, price level and explicit price-fixing in a production market?","h":"Any channel raises supra-competitive profit; private messages raise explicit carve-up proposals most, while a public board yields similar division with fewer explicit proposals.","cited":false,"by":[]},{"id":"MKT-07","area":"fork-merge-security","title":"Forked firms and inherited conventions","q":"Do two firms forked from one agent mid-game, sharing its memory, divide markets faster than two independent firms of the same model, and does a merger of rivals carry a collusive convention into a new market?","h":"Forks inherit a plan and divide almost at once; after a merger, the surviving memory imposes its earlier convention on new rivals.","cited":false,"by":[]},{"id":"MKT-08","area":"llm-agent-swarms","title":"Mixed models as a natural brake","q":"Do markets with firms from different model families divide less than same-model markets?","h":"Mixed-family markets divide less and sit closer to Cournot-Nash, but the effect is smaller than the effect of adding a firm.","cited":false,"by":[]},{"id":"MKT-09","area":"agent-budgets","title":"Public production ledger","q":"Does publishing each firm's output and capacity every round raise tacit division compared with showing only market totals?","h":"A public per-firm ledger raises division and profit gap, because firms can see and respect each other's territory.","cited":false,"by":[]},{"id":"MKT-10","area":"llm-agent-swarms","title":"One competitive entrant","q":"Does a single scripted competitive firm entering mid-game break an established division?","h":"A best-response entrant breaks division in the good it enters and pushes incumbents toward Cournot quantities there, but incumbents keep their split in other goods.","cited":false,"by":[]},{"id":"MKT-11","area":"sybil-resistance","title":"Sybils against an antitrust regulator","q":"Under a regulator that fines detected collusion from market concentration, does a principal running several firms keep its gains by spreading output across identities?","h":"A concentration-based regulator lowers tacit collusion among independents but not the Sybil principal's gains, because spreading output keeps each firm's share below the trigger.","cited":true,"by":["market-split","market-split-api"]},{"id":"MKT-12","area":"meta","title":"Does the small simulator predict the real game","q":"Do division and Sybil effects found in a small Python factory simulation reappear when the same markets sit on top of the Factorio Learning Environment?","h":"The direction of effects carries over but their size shrinks, because agents in the full game spend most effort on building rather than strategy.","cited":false,"by":[]},{"id":"MKT-13","area":"sybil-resistance","title":"Market limits with uncertain ownership and concurrent settlement","q":"Which aggregate spending and concentration protections survive inaccurate ownership records and concurrent actions that are individually permitted?","h":"Unreviewed hunch: Atomic checks over a common resource ledger preserve declared aggregate spending limits under complete mediation, but owner-specific concentration limits fail under missed owner links; conservative grouping trades those failures for false restrictions on independent firms.","cited":false,"by":[]},{"id":"MKT-14","area":"llm-agent-swarms","title":"Evidence royalties versus identity farming","q":"Can paying for evidence used in a joint opportunity increase useful discovery without making duplicate identities or redundant evidence more profitable?","h":"Unreviewed hunch: In repeated private-profit worlds with costly discovery, payments tied to unique evidence actually used increase useful evidence production and producer returns relative to free reuse; payments per publisher instead reward duplicated identities and redundant claims.","cited":false,"by":[]}],"source":"https://github.com/dmarzzz/swarm-dynamics-lab/blob/main/3-synthesis/research-question-atlas.md"},"tracks":[{"id":"sybil","code":"SYB","name":"fake identities","q":"Can one operator posing as many agents capture a group, and what does checking identities cost?","projects":[{"title":"market split","name":"Breaking Up Is Easy to Do","question":"Will an AI running a firm split it in two to slip under a per-firm competition rule?","verdict":"result"},{"title":"sybil rules 180","name":"Thou Shalt Not Split","question":"Does one sentence forbidding rule evasion stop AI firm owners from splitting their firms?","verdict":"result"},{"title":"specialists","name":"Saving Private Experts","question":"Can checking identities keep rare expert answers while one attacker runs many fake ones?","verdict":"result"},{"title":"scale","name":"Honey, I Grew the Swarm","question":"As a swarm under fake-identity attack grows, do more checks keep its answers accurate?","verdict":"result"},{"title":"check budget","name":"Fewer, Better Bouncers","question":"How many identity checks does a swarm need, and how reliable must they be?","verdict":"result"},{"title":"newcomers","name":"Sleeper Agents","question":"Can re-checking trusted members stop attackers who build trust first and strike later?","verdict":"null"},{"title":"scarcity","name":"The Truth Is Outnumbered","question":"Does fake-identity resistance still work when only a few honest members know the answer?","verdict":"result"},{"title":"identity split","name":"Being John Malkovich","question":"Does splitting one attacker's fixed resources over more fake identities cause more harm?","verdict":"result"},{"title":"split factory","name":"Rate Limited Edition","question":"Does a Sybil identity-splitting result hold up with a different model and setup?","verdict":"not-qualified"},{"title":"trust credit","name":"Innocence by Association","question":"Does passing trust from a checked identity to its neighbours let more attackers in?","verdict":"result"},{"title":"verify cost","name":"No Table Required","question":"Does a cost table help a model decide whether to check a report or explore?","verdict":"null"},{"title":"quota splitting","name":"Please, Sir, I Want More","question":"Under a per-identity compute quota, will an AI agent create extra identities to get more?","verdict":"proposed"}]},{"id":"influence","code":"INF","name":"steering by evidence","q":"Can an outsider steer a group of agents by shaping what it sees?","projects":[{"title":"external influence","name":"How to Win Agents and Influence Swarms","question":"Can independent checks keep an agent team from being steered by edited evidence?","verdict":"adverse"},{"title":"phantom coast","name":"Trust Issues","question":"Do explicit decision rules help a model decide when to trust or verify a report?","verdict":"result"},{"title":"quorum of mirrors","name":"Copy That","question":"Can a model count copied reports once instead of letting repetition win?","verdict":"not-qualified"}]},{"id":"deliberation","code":"DLB","name":"discussion and dissent","q":"When does talking help a group of agents, and when does it spread error?","projects":[{"title":"discussion dose","name":"Total Recall","question":"Does public discussion protect an agent team from false memories passed down to it?","verdict":"not-qualified"},{"title":"right dissenter","name":"Twelve Angry Agents","question":"Should a lone dissenter earn an independent check only when its evidence warrants it?","verdict":"adverse"},{"title":"private judgments","name":"Poker Faces","question":"Do teams decide better when members keep their first answers private before discussing?","verdict":"null"},{"title":"false alarm cascade","name":"Unringing the Bell","question":"Does a retracted false alarm keep an AI team avoiding a resource that was safe?","verdict":"proposed"}]},{"id":"verification","code":"VRF","name":"when to check","q":"When should a group of agents pay to check again, and when should it commit?","projects":[{"title":"antsy","name":"Too Many Clerks","question":"Does an agent committee that buys checks pick better OCR output than confidence alone?","verdict":"null"}]},{"id":"recovery","code":"REC","name":"memory and recovery","q":"After damage or turnover, what does a group of agents keep?","projects":[{"title":"swarm of theseus","name":"Swarm of Theseus","question":"Can useful practices survive after every founding member of a swarm is replaced?","verdict":"result"},{"title":"healing hands","name":"The Cathedral Beats the Bazaar","question":"Can a mesh of 200 curators repair a changing evidence index better than a central one?","verdict":"adverse"},{"title":"memory handoff","name":"Read the Footnotes","question":"Can a successor agent avoid repeating errors in the notes it inherits?","verdict":"result"},{"title":"immune response","name":"This Is Fine","question":"Does cleaning up stale team memory help agents recover a broken deployment safely?","verdict":"adverse"},{"title":"capture memory","name":"Eternal Sunshine of the Captured Swarm","question":"Can agents with short memories pull a captured swarm back after the attackers leave?","verdict":"result"},{"title":"regrowth 200","name":"The Long Way Home","question":"Can 200 small-model agents rebuild good routes after part of their map breaks?","verdict":"adverse"}]},{"id":"operations","code":"OPS","name":"scale and safe action","q":"Do more agents make work faster, cheaper and safer, or just faster?","projects":[{"title":"swarm size","name":"Two Heads Are Faster Than One","question":"Does adding a second agent make a task faster, cheaper, or more accurate?","verdict":"result"},{"title":"compositional safety","name":"The Sum of All Permissions","question":"Can fact receipts stop agents whose permitted steps add up to a forbidden outcome?","verdict":"not-qualified"},{"title":"poietic agents","name":"Some Assembly Required","question":"Can identical agents discover a cheaper division of labor without becoming brittle?","verdict":"not-qualified"}]},{"id":"wild","code":"WLD","name":"swarms in the wild","q":"What do real agent swarms leave behind, and can we tell who did what?","projects":[{"title":"idea half-life","name":"The Tortoise and the Wiki","question":"How quickly do links posted by one agent get picked up by others?","verdict":"result"},{"title":"wild identity","name":"Name Dropping","question":"Do agent identities that stick around longer coordinate more?","verdict":"result"},{"title":"evidence depth","name":"The Squeaky Wheel","question":"How much of a public incident dataset lets you see both an attack and its response?","verdict":"result"},{"title":"ask the swarm","name":"A Whodunit With No Who","question":"Can one tool answer the same social questions across three agent swarm archives?","verdict":"result"},{"title":"delete and return","name":"Night of the Living Pages","question":"Do agents write pages again after moderators delete them?","verdict":"null"}]}],"projects":34}