mlsanityData to 7 Oct 2026

A Benchmark and Diagnostic Study of Epistemic Admission in Shared Agent Memory

arXiv 2609.30813 ↗First posted 25 Sep 2026cs.AIcited by 0

Not on the map. Why?

Abstract (arXiv)

Evaluating claim admission in shared agent memory is challenging because repeated claims may be mistaken for independent evidence. An agent may copy or paraphrase a retrieved belief, while admitting a false claim exposes subsequent agents to it. To study this problem, we introduce the Correlated Promotion Benchmark (CPB), which evaluates whether candidate claims should be admitted to shared memory.CPB-Static constructs a frozen test split from publicly annotated sources with fixed gold actions. CPB-Live runs multi-agent teams over a shared store, records all writes and retrievals, and tracks source lineage defined by each scenario. A separate consumer answers from the store alone. We evaluate eight admission policies across four agent families. Our results show that policies which deduplicate sources reject many true claims alongside false ones, whereas policies preserving answer coverage admit nearly as many false claims as unrestricted sharing. Gating on declared source type reduces false adoption to 0.06--0.09, compared with 0.22--0.47 for other answering policies. Once an uncontested false belief enters memory, the consumer asserts it in 0.97--0.99 of probes across all families. No non-oracle policy consistently rejects false claims across verbatim copies, paraphrases, and paraphrases declared authoritative. These findings reveal the limitations of admission policies without access to source lineage.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 50 of its 56 references that are in the map. First posted on arXiv 25 Sep 2026.

Builds on

50 of 56 references.

References · 50

  1. 2024The Llama 3 Herd of Modelscited by 14,192
  2. 2025Gemma 3 Technical Reportcited by 1,686
  3. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  4. 2024Evaluating Very Long-Term Conversational Memory of LLM Agentscited by 800
  5. 2025Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memorycited by 722
  6. 2024LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memorycited by 656
  7. 2024AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Basescited by 402
  8. 2023Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflictscited by 333
  9. 2023MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questionscited by 292
  10. 2025Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactionscited by 236
  11. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  12. 2025Memory Injection Attacks on LLM Agents via Query-Only Interactioncited by 127
38 more
  1. 2025G-Memory: Tracing Hierarchical Memory for Multi-Agent Systemscited by 112
  2. 2024ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMcited by 73
  3. 2025A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memorycited by 61
  4. 2025Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Controlcited by 56
  5. 2025Hindsight is 20/20: Building Agent Memory that Retains, Recalls, and Reflectscited by 40
  6. 2026From Agent Traces to Trust: A Survey of Evidence Tracing and Execution Provenance in LLM Agentscited by 29
  7. 2026Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panelscited by 21
  8. 2026Adaptive Memory Admission Control for LLM Agentscited by 19
  9. 2026MemTX: Transactional Belief Commit for Stateful Agent Memorycited by 12
  10. 2022Improving Wikipedia Verifiability with AIcited by 11
  11. 2026Graph-Native Cognitive Memory for AI Agents: Formal Belief Revision Semantics for Versioned Memory Architecturescited by 9
  12. 2026Belief Memory: Agent Memory Under Partial Observabilitycited by 9
  13. 2026MemSyco-Bench: Benchmarking Sycophancy in Agent Memorycited by 9
  14. 2026GateMem: Benchmarking Memory Governance in Multi-Principal Shared-Memory Agentscited by 8
  15. 2026Governed Shared Memory for Multi-Agent LLM Systemscited by 8
  16. 2026AgentAbstain: Do LLM Agents Know When Not to Act?cited by 8
  17. 2026When Does Belief-Based Agent Memory Help? Reliability-Conditional Updating and Provenance-Capped Poisoning Defensecited by 6
  18. 2026Capability Minimization as a Safety Primitive: Risk-Aware Causal Gating for Least-Privilege LLM Agentscited by 5
  19. 2026TRUSTMEM: Learning Trustworthy Memory Consolidation for LLM Agents with Long-Term Memorycited by 5
  20. 2026ConsistencyGate: Preventing Memory Contamination in LLM Agents via Self-Consistency Admission Controlcited by 4
  21. 2026Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systemscited by 3
  22. 2026MemRouter: Memory-as-Embedding Routing for Long-Term Conversational Agentscited by 3
  23. 2026Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systemscited by 3
  24. 2026When Stale Constraints Go Unchecked: Budgeted Verification Failures in Inherited Agent Memorycited by 3
  25. 2015Fusing Data with Correlationscited by 2
  26. 2026When Agents "Misremember" Collectively: Exploring the Mandela Effect in LLM-based Multi-Agent Systemscited by 2
  27. 2026Learning to Share: Selective Memory for Efficient Parallel Agentic Systemscited by 2
  28. 2026IMPACT-CYCLE: A Contract-Based Multi-Agent System for Claim-Level Supervisory Correction of Long-Video Semantic Memorycited by 2
  29. 2026HARP: Measuring Harm Amplification in Multi-Agent LLM Systemscited by 2
  30. 2026Misinformation Propagation in Benign Multi-Agent Systemscited by 2
  31. 2026SuperLocalMemory 4.0: The Governed Memory Operating System for AI Agentscited by 2
  32. 2026Remember, Verify, or Ask? Cross-Family Evaluation of Memory Commitment in LLM Agentscited by 2
  33. 2026Beyond Memory Majority: Latent-Source Reasoning for Multi-Agent Memory Arbitrationcited by 2
  34. 2026Learning What to Share and What to Personalize: Hierarchical Strategy Co-Evolution for Agent Memorycited by 2
  35. 2026MEMTIER: Tiered Memory Architecture and Retrieval Bottleneck Analysis for Long-Running Autonomous AI Agentscited by 1
  36. 2026Governed Collaborative Memory as Artificial Selection in LLM-Based Multi-Agent Systemscited by 1
  37. 2026When Not to Write Memory: Governing False Promotion from Correlated Agent Tracescited by 1
  38. 2026TARL: Transaction-Aware Reliable Ledgers for Executable Memory Management in Long-Term Agentscited by 1

Built on by

Not cited yet.