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Paper Citation Record · LEDGER

Red-Teaming LLM Multi-Agent Systems via Communication Attacks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2502.14847.

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

pith.paper-citation-record.v1
2502.14847 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:27:03.485673Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:34.473904Z

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 2773a69e-1617-4b5a-8fea-1ca2483c6d9b · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.673631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:195d05b8b3da365a78d52d7b43e27918ca5b447279d07ebd8968a22813438522

Observation c592c1ef-f1f2-4a3f-a571-497ca4cfcd5f · inbound

Security Concerns for Large Language Models: A Survey cites this paper.

Security Concerns for Large Language Models: A Survey Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:27:03.485673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:27:03.485673Z digest=sha256:c8f455cd7185a8af47657e470dd5bc9be8d79b34118f44ce3f9815e13337add7

Observation 35738ffd-778f-4bf3-8dbf-7c1438a65a26 · inbound

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems cites this paper.

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:05.421366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:05.421366Z digest=sha256:dd84e93ecd8f750ecadb04ea4391af50b9e99e7943c8f980f6ee03aa1a7f1e81

Observation dfc2409e-3b9e-4efd-a012-6d2338f6f172 · 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 Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:32:17.362841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T11:30:47.877793Z digest=sha256:ec20afe87bc28dd49efe269f3af910183826146e8abef0b24647fb8cee403552

Observation 73b9fd81-05b3-489c-b34b-cac9663ac932 · inbound

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems cites this paper.

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:32:36.528134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:32:36.528134Z digest=sha256:22be16f59b3dc60a140f0bd2fe537c6cc7b0be9f2eaae664e3f4376f17c4959f

Observation 83890223-ed75-4b94-856b-82f84cea7725 · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:45.134534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:45.134534Z digest=sha256:062605e262bfb37061d9b6a385df8c15d89c41ff12710948b6d5d129ae17abf7

Observation f4e24e59-c187-4a25-b386-c1458f598470 · inbound

Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message cites this paper.

Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:46:27.451948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:46:27.451948Z digest=sha256:6329ef49f68f781e19959d2020548add8021ccc15d9d5de6dfecad16c4b523ce

Observation 493531a5-7223-4715-85e0-97f841b741a3 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T13:05:35.850228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:05:35.850228Z digest=sha256:ebc95aa9ff01895e27e897113f21ebc3be1c1e07fea0c5e90c8e86938d73b970

Observation 413eb5ff-40a8-487c-8d11-05ea3f8076e2 · inbound

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-05T15:26:33.586744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:26:33.586744Z digest=sha256:111494241bf5990f58ff1a609ca00ebc45951d147af9b8b68f8c99b0c60b71d9

Observation 112bf727-9b10-478b-a7ff-eb820c43a703 · inbound

Scheming Ability in LLM-to-LLM Strategic Interactions cites this paper.

Scheming Ability in LLM-to-LLM Strategic Interactions Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:51:03.755743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T07:50:30.597108Z digest=sha256:65f1e347bc1b5987885686bf484f46e097d019735e0f86af91bf141feba8e1ab

Observation e33f6593-76cc-4325-9d1a-fd7366348b49 · inbound

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

Securing Multi-Agent Systems Against Corruptions via Node Contribution Backpropagation Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-04T08:44:56.450078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T08:44:56.450078Z digest=sha256:4d2acbde74500a60fa5b9caf101d7281257405707610c0fcd594f5f3b1ef10d8

Observation 2266cc27-cde0-4ab5-bb6c-c657aeb9709d · inbound

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

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 255

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:42:22.082333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T03:42:10.703369Z digest=sha256:ae8dbc73a1620ceb286235f917bcd12487afa8797d71139254bb506aab4700fa

Observation 2cdb75c8-c04a-48a0-a140-3ca568e3d09b · inbound

How Well Do AI Systems Solve AP Physics? A Comparative Evaluation of Large Language Models on Algebra-Based Free Response Questions cites this paper.

How Well Do AI Systems Solve AP Physics? A Comparative Evaluation of Large Language Models on Algebra-Based Free Response Questions Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-15T13:15:31.225992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T13:15:31.225992Z digest=sha256:15a3386ba180aaabe162e44008f17e8e7e72c2648d18fbb3f9b5890bfaacca5a

Observation c9c9602b-0016-4c45-add7-2a3ea55de254 · inbound

SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI Systems cites this paper.

SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI Systems Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:13.479988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:14:56.132341Z digest=sha256:72e2e3d76f51130d6f387fb4c7babe503776320ace79c2a40b7bbcbcf9523489

Observation aabf82e7-1551-444d-812a-6e4fd64568fa · inbound

LoopTrap: Termination Poisoning Attacks on LLM Agents cites this paper.

LoopTrap: Termination Poisoning Attacks on LLM Agents Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:21:10.501482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T09:25:11.059634Z digest=sha256:0d9ba512133330cf68449ce6298f104fb93639d6d391f2b829be14c2517f26e7

Observation 85ac3812-a714-4bb9-a50e-80ea2c19310b · inbound

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security cites this paper.

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:41:00.414337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:08:47.097355Z digest=sha256:855c5dcc17111c459f96de37a6819895a6e4947be36c4b453ee526f8332f6cad

Observation 6df49b03-7fc8-4505-8dea-d8d8d3c32d13 · inbound

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security cites this paper.

MAGIQ: A Post-Quantum Multi-Agentic AI Governance System with Provable Security Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:33:48.495283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T22:31:48.507150Z digest=sha256:4dec1a0b4f6a6873c5870ca0cf1e172bc26414830bd89238bdcee210a3ecd7b8

Observation c7ccac6c-efec-420c-8eab-b62051382953 · inbound

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

Insider Attacks in Multi-Agent LLM Consensus Systems Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 138

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:41:23.755616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T00:52:23.019201Z digest=sha256:98b489f66c356ecedc465ac478cd0b19e223a9174e4c0c58aacbb4a2d5330550

Observation c43ce07a-b28c-4bfe-b59e-b1904853e09e · inbound

NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms cites this paper.

NRT-Bench: Benchmarking Multi-Turn Red-Teaming of LLM Operator Agents in Safety-Critical Control Rooms Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:09:34.476015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T17:13:26.201462Z digest=sha256:8c5dfb98c07c6a9a27f14f57b9e8bbf85fa22024b70fbd409a0d9aeb7bfdf3e4

Observation 8cc5fc70-00bf-459a-bca2-bf7317f3f4ed · inbound

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems cites this paper.

MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems Red-Teaming LLM Multi-Agent Systems via Communication Attacks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-30T16:14:53.912432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T04:48:51.748711Z digest=sha256:74c5cdfeadc20fcd53cf96f9947eec7b1ad73cd437a5b8c99a3a4dec93f7f84c