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Paper Citation Record · LEDGER

On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2408.00989.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2408.00989 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:44.713083Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T06:59:37.236347Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6896e787-4224-4bda-bca9-5288e6596378 · inbound

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.

Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:32:19.721249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T19:32:19.405615Z digest=sha256:43a9347f3bdf80d466ca061851ddb074254af1543dfba42117080ead97bd5edc

Observation 2f4020fb-ad59-45e0-9e10-d35564f7b9f0 · inbound

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring cites this paper.

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:44.713083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:44.713083Z digest=sha256:49d131106952789b6811ae18ed33b9a2ef7d59959d763cd340c2741a6a555003

Observation 2dad105b-0377-429f-bd2f-c844acd92b13 · inbound

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems cites this paper.

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.218371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:30:47.877793Z digest=sha256:855c9b2e3781e8531c275157c4182c5444f2e0fc5a1bd7d4f7e6a3e96820c35c

Observation 5a8b6839-d881-4f66-b69f-f302c7040cdb · inbound

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context cites this paper.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:22.275643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.275643Z digest=sha256:19c53dd94e4fffcc8a3978e586d093bef3e84aa8d94abc01c40d52987de7ff46

Observation b15d10ef-6356-42c4-ae12-67af5ee769da · inbound

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems cites this paper.

When Autonomy Goes Rogue: Preparing for Risks of Multi-Agent Collusion in Social Systems On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:56:20.709932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:56:20.709932Z digest=sha256:09025bbc8c8c7626bcf81f3b6e2170957ba27ee85d1906ba13a55a733be879dc

Observation ca92ed31-dfe1-4a79-b774-c597c5ee275d · inbound

Before Humans Join the Team: Diagnosing Coordination Failures in Healthcare Robot Team Simulation cites this paper.

Before Humans Join the Team: Diagnosing Coordination Failures in Healthcare Robot Team Simulation On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:01:56.470368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T23:57:13.740711Z digest=sha256:391fbeba772956cc6a386dc7a2a680813ddd784c56fc9191a837a61bcbc6872f

Observation eee04d42-6685-4efc-aa5e-dc85b2cb16cb · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 254

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:42:22.271741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:8db778e73a78d8e221a7612f3a7c7002fa2426b0f1992eb10f581d9b7dba5e8a

Observation 9d78875f-a08c-472b-b201-e4acbb2e8537 · inbound

Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch cites this paper.

Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-03T20:58:59.225217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T20:58:59.225217Z digest=sha256:edc713d89c49c1b552bd2cd32d8b54c4960317c7bb8b69d3e2bb9244016299ca

Observation bf828bc2-c330-434d-b104-64d4e6588842 · inbound

Emergent Social Intelligence Risks in Generative Multi-Agent Systems cites this paper.

Emergent Social Intelligence Risks in Generative Multi-Agent Systems On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:48:00.853009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T21:45:04.625084Z digest=sha256:60af4d06ad74f5cac248ee7077accf5130208a34e73f3cb7718e3e4349e88b64

Observation e262b815-9720-4ae4-a523-203346b1d8e6 · inbound

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs cites this paper.

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:56:21.741347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T03:44:07.323690Z digest=sha256:64602fea24b136e60ae2c70f9307266154f2aec9b7659a767ea1856d774c6b96

Observation c14da7d2-14a0-4781-82a5-24425b43c8f1 · inbound

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries cites this paper.

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:07:13.218720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T04:04:41.439968Z digest=sha256:258eafd4b4b99850a0ce233c76a279f164d32b138a077a6fc6568d6fc6b85271

Observation 808492db-b653-4073-a2db-3a0f385b842b · inbound

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning cites this paper.

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:27.872686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T20:16:30.070819Z digest=sha256:ea137dc556eea0cbbc3328c192768fe1324a7cf42e82b9caf96595875a6c52c2

Observation 58efc5f1-eb2d-42d0-9b9c-f2560468022d · inbound

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation cites this paper.

PropGuard: Safeguarding LLM-MAS via Propagation-Aware Exploration and Remediation On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:33:48.145084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T22:33:12.568495Z digest=sha256:fcc1d199f5cce63d5f567ea22c5c18c6ef742196b75d0c5ab5b6cf13006fb1e7

Observation 2dbe4265-5e9d-428f-9284-191b6b2c11ff · inbound

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems cites this paper.

StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:16:34.022861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T10:12:35.956616Z digest=sha256:4f8f47db24c45c60bee8f1b62711bec33136f0728e03dcadc57afb0033d11d59

Observation a0462a51-1a52-49e8-a278-16520674479a · inbound

Opinion Polarization in LLM-Based Social Networks: Manipulation and Mitigation cites this paper.

Opinion Polarization in LLM-Based Social Networks: Manipulation and Mitigation On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:49:24.502929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T19:12:23.929680Z digest=sha256:f8258671af6979c19b56418ddc1cddae593a685baac917346d383313df5c4818

Observation fea5acc9-4667-42e0-9d0a-d63b3714829b · inbound

Hallucination as Context Drift: Synchronization Protocols for Multi-Agent LLM Systems cites this paper.

Hallucination as Context Drift: Synchronization Protocols for Multi-Agent LLM Systems On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:59:37.237851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T14:02:50.257279Z digest=sha256:511ba5f0e2686452ade64f147141bd016104ea9ee749c3ea8e4d0033f53e35ea

Observation ae8e2de7-947d-4731-9e6d-bede38093dff · inbound

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? cites this paper.

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents? On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T01:10:44.920887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T01:10:44.920887Z digest=sha256:b0208408f16874a8f6621e9d35154b41d677432343ac0f40242bb298189b23fd

Observation 2ca8e13d-e272-466b-b289-78930eb88f65 · inbound

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks cites this paper.

OpenEvoShield: Dual Non-Stationary Continual Defense for Open-World Multi-Agent System Attacks On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T14:14:35.021321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:14:35.021321Z digest=sha256:82322268af90a7748cea376221fb2c4a6092149e84e0d56964b3392f67c60c10

Observation aed0d8f4-a2aa-4045-ab4f-abd6d0edb97c · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges On the Resilience of LLM-Based Multi-Agent Collaboration with Faulty Agents

Reference 261

Resolution
unresolved
no resolver link, observed 2026-08-03T00:55:39.290622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:55:39.290622Z digest=sha256:1b84b2afe3f24735955fd9ad218fc58fa2b3c701721fe633e8595dffdc413cfd