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  1. Home
  2. Signal Canvas
  3. Detecting Multi-Agent Collusion Through Multi-Agent Interpre
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Detecting Multi-Agent Collusion Through Multi-Agent Interpretability

Fresh2d ago
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Viability
0.0/10

Compared to this week’s papers

Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T20:55:15.990582+00:00

Claims: 0

References: 5

Proof: unverified

Freshness: fresh

Source paper: Detecting Multi-Agent Collusion Through Multi-Agent Interpretability

PDF: https://arxiv.org/pdf/2604.01151v1

Repository: https://github.com/aaronrose227/narcbench

Source count: 4

Coverage: 83%

Last proof check: 2026-04-03T20:30:37.263Z

Paper Conversation

Citation-first answers with explicit evidence receipts, disagreement handling, commercialization framing, and next actions.

Paper Mode

Detecting Multi-Agent Collusion Through Multi-Agent Interpretability

Overall score: 7/10
Lineage: de653d70c5f5…
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Canonical Paper Receipt

Last verification: 2026-04-03T20:30:37.263Z

Freshness: fresh

Proof: unverified

Repo: active

References: 5

Sources: 4

Coverage: 83%

Missingness
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Unknowns
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  • Workspace mode blends saved sources, prior evidence queries, and linked papers.

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Dimensions overall score 7.0

GitHub Code Pulse

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Last commit
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Keep exploring

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Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems
Score 3.0down
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I Can't Believe It's Corrupt: Evaluating Corruption in Multi-Agent Governance Systems
Score 3.0down
Builds On This
When can we trust untrusted monitoring? A safety case sketch across collusion strategies
Score 2.0down
Prior Work
AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents
Score 7.0stable
Prior Work
Courtroom-Style Multi-Agent Debate with Progressive RAG and Role-Switching for Controversial Claim Verification
Score 7.0stable
Prior Work
AgentLeak: A Full-Stack Benchmark for Privacy Leakage in Multi-Agent LLM Systems
Score 7.0stable
Higher Viability
ProvAgent: Threat Detection Based on Identity-Behavior Binding and Multi-Agent Collaborative Attack Investigation
Score 8.0up

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