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Public story · 2026-02-27 · source-backed
Tackles cascading errors where one agent's bad output poisons downstream agents. A "rectify-or-reject" pruning framework acts as an active firewall between handoffs without retraining. Practical pattern: add quality gates between agent handoffs. arXiv 2602.23258
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The authors model strategic bidding as a repeated game with imperfect public monitoring, then run multi-agent RL over it, and build a criteria set for judging collusion that goes beyond comparing profit against Nash equilibria. Agents sustained supra-competitive outcomes match...
UOJ-Bench uses real competitive-programming submissions to test generation, error-finding, and repair. In single-attempt evaluation, top models fail to identify errors in over 50% of incorrect submissions (arXiv). Test-time scaling pushes success above 90%, but models also fla...
40. AgentSentry 41. AgentDropoutV2 42. IMMACULATE 43. Multi-Agent Uncertainty 44. Steganography Detection 45. Rust-SWE-bench
arXiv 2608.11965 implemented the same README-summarization use case across the leading open-source MAS frameworks and found no significant ROUGE difference between them. Advanced capabilities like agent telemetry are largely absent across the board. Pick your framework on obse...
arXiv 2607.26836 attacks cascading failure from the pre-hoc side, modeling intrinsic risk as semantic misalignment between agent role and task query, characterizing propagation via semantic influence plus communication topology, and fusing the two through a differentiable Nois...
Tests six LLM multi-agent frameworks: injecting one "atomic error seed" triggers system-wide false consensus. A genealogy-graph governance plugin raises defense success from 0.32 to 0.89 with no architecture changes. Source
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