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Paper Citation Record · LEDGER

MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.14711.

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

pith.paper-citation-record.v1
2406.14711 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:02.098156Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:26:16.395338Z

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 7aa6443a-545e-4fbb-97f1-5da1328dbd2d · inbound

MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures -- A Comprehensive Framework cites this paper.

MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures -- A Comprehensive Framework MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:02.098156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:02.098156Z digest=sha256:7ceed9cc25a5c468525c6700c518869c65a327466184d227faf79d0076d2a0b0

Observation d66a1e49-31a4-461e-abed-4e2c514b3970 · inbound

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

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:43.589220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:43.589220Z digest=sha256:314097976e75ffba4e3bc0aa13baa764ef26efccc40b2db9eeb2a3604864af9d

Observation 1653d3ed-85d1-4066-b3a5-9a9abaf869be · 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 MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.333772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T11:30:47.877793Z digest=sha256:3eb148a928a065b12e7e18d6d589680d517731e4e9cea31d68935b597666ff0b

Observation a2fd26b5-a7e2-4e04-b271-ee8833017eec · inbound

Demonstrations of Integrity Attacks in Multi-Agent Systems cites this paper.

Demonstrations of Integrity Attacks in Multi-Agent Systems MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T10:44:02.982503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:44:02.982503Z digest=sha256:cdbf4d5338ec6a20701028943b34bac16ae5c262bb681aa7fb3f47e1798d4a6e

Observation a1c8208f-36c1-4dd9-b5c1-fd0184a2373c · inbound

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation cites this paper.

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T08:44:56.407329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:44:56.407329Z digest=sha256:b8d59579741e1c7db429bbe72e3a7b80e3c638da0c6982c9140e3c44d837882a

Observation e6e7f043-1c7c-4f41-a1f0-720961ae77c8 · inbound

ACIArena: Toward Unified Evaluation for Agent Cascading Injection cites this paper.

ACIArena: Toward Unified Evaluation for Agent Cascading Injection MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:10:58.341345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:47:12.757066Z digest=sha256:10beb439bc9ba3960377f56b448b225f11a1f307de502040f7e0d953a7aaa848

Observation 8bb69f11-1f92-4237-bbe9-ca154a9aae39 · inbound

Insider Attacks in Multi-Agent LLM Consensus Systems cites this paper.

Insider Attacks in Multi-Agent LLM Consensus Systems MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 234

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:41:23.740997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-12T00:52:23.019201Z digest=sha256:7fc07d3e6df6706bd35f4815cb52ada1f212ccabb0484e57253a650e9347f7e8

Observation aa7ddff7-3513-40d0-8fb3-92887eaa5f8f · inbound

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts cites this paper.

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:26:16.397256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T16:54:12.354178Z digest=sha256:0d57c7cedb2a1b65c6ef55ee64633ff087f9e2022d393e3a377b49b7a57d5af8