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Paper Citation Record · LEDGER

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems

As of 10 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2606.12918.

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

pith.paper-citation-record.v1
2606.12918 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:40:48.023261Z

measured 27 of 27 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dded7206-c834-4a8e-bbfa-5d998ee3d6bd · outbound

This paper cites Syntaxshap: Syntax-aware explainability method for text generation.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Syntaxshap: Syntax-aware explainability method for text generation

Reference 1

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:fa8d93a478b9f9fbd96ac13609c970ef049f5e94fff9d8e7e9712bdbf8e64748

Observation dfd3c9f3-0e01-4a40-96e0-0e8fe0ec5ec2 · outbound

This paper cites Multiagent collaboration attack: Investigating adversarial attacks in large language model collaborations via debate.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Multiagent collaboration attack: Investigating adversarial attacks in large language model collaborations via debate

Reference 2

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:96cab1ae80606f8f67e5f51435dab4363fb1b3b08de80d03db57f56f6cbbfd4d

Observation 829a9125-19bf-4f0d-a593-4211011677b5 · outbound

This paper cites Agentharm: A benchmark for measuring harmfulness of llm agents, 2024.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Agentharm: A benchmark for measuring harmfulness of llm agents, 2024

Reference 3

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:b820b833d668d56a9848b23238bf861c587eae0d6723fc364e477a6ad715472b

Observation 9022fe66-d611-4210-856c-836c6a96d629 · outbound

This paper cites Polynomial calculation of the shapley value based on sampling.Computers & Operations Research, 2009.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Polynomial calculation of the shapley value based on sampling.Computers & Operations Research, 2009

Reference 4

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:799ef4a21bae97378c34beda1241d468713aa8517afd188a44b42cc73234d4bb

Observation cc9dcfad-93f5-4f7b-a6e8-15d113505516 · outbound

This paper cites Agentdojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Agentdojo: A dynamic environment to evaluate prompt injection attacks and defenses for llm agents

Reference 5

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:cf065fd7a4aec01e3a1631943dbe67eb5119d3a5ef199e7d91921e48acca25c3

Observation 9bac2c72-0a17-4c3c-a5d0-bf9f8d3dfc90 · outbound

This paper cites Lira: A multi-agent framework for reliable and readable literature review generation.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Lira: A multi-agent framework for reliable and readable literature review generation

Reference 6

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:cf3fdfba42df94eb5301745cc3cf49f2a74e18b6e88f29c7c916677dcac1bae4

Observation b8cea9ec-757f-458b-ad32-c2f7455ebb85 · outbound

This paper cites An axiomatic approach to the concept of interaction among players in cooperative games.International Journal of Game Theory, 1999.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems An axiomatic approach to the concept of interaction among players in cooperative games.International Journal of Game Theory, 1999

Reference 7

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:0967bba4a65a81a675c0d3fa471b671491962e387b92cecaf545f02b9d61bee2

Observation e3fa22e1-47e2-49d3-bfff-3a965e4807be · outbound

This paper cites Agent smith: A single image can jailbreak one million multimodal llm agents exponentially fast.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Agent smith: A single image can jailbreak one million multimodal llm agents exponentially fast

Reference 8

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:6f2c854a575677be1cb4e9604af0002f4faf7b2ce5b442c9a3a1fffcae212a1a

Observation 37aefaaf-4194-4020-950e-8de942ef2ca2 · outbound

This paper cites Large language model based multi-agents: A survey of progress and challenges.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Large language model based multi-agents: A survey of progress and challenges

Reference 9

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:a67c90fd6348017794cf8dbf0082a715d8ebc1500d3f09abeacc48d202e3d8e0

Observation 590f6118-0864-404a-8957-22a1f8676839 · outbound

This paper cites Multi-Agent Risks from Advanced AI.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Multi-Agent Risks from Advanced AI

Reference 10

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verified exact
arxiv_id, observed 2026-07-03T15:08:33.263196Z

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=2026-06-27T06:40:48.023261Z digest=sha256:68d97692452511ff37ee39a2b61255e44376ac8f5f06c2a8f8e28997b78f20ba

Observation bcd2288a-1f08-497b-b233-f701eaf2f3af · outbound

This paper cites Red-teaming llm multi-agent systems via communication attacks.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Red-teaming llm multi-agent systems via communication attacks

Reference 11

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:505a3dfa32de3145ad1680e8568c222386303f9c9728530490b19d391d9f48a0

Observation 485b01ac-de44-47b7-9ee2-dec9ac94d9f0 · outbound

This paper cites MetaGPT: Meta programming for a multi-agent collaborative framework.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems MetaGPT: Meta programming for a multi-agent collaborative framework

Reference 12

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:1fd90f47738ad92b4790e7b9440c349301da7eb9064ba2f8539518d57ed58246

Observation 25f9b4af-da87-4768-bd5c-fe8191e0baf1 · outbound

This paper cites On the resilience of llm-based multi-agent collaboration with faulty agents.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems On the resilience of llm-based multi-agent collaboration with faulty agents

Reference 13

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:90b426881f9f8f97bbb5c601ed6fa18dc070dfb831b337f4dafaf4f5bb9161da

Observation 5e590d0f-68ce-4ac0-a199-4d6f5033a9d9 · outbound

This paper cites Towards efficient data valuation based on the shapley value.Proceedings of AISTATS 2019, 2019.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Towards efficient data valuation based on the shapley value.Proceedings of AISTATS 2019, 2019

Reference 14

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:d700509ed228a3f80da58d3d7bdf59e5a16c51589fb3c3491bd634282632f84d

Observation 7b27a8ca-e595-4505-84b6-eb7a9058c080 · outbound

This paper cites Fashapley: Fast and approximated shapley based model pruning towards certifiably robust dnns.SaTML, 2022.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Fashapley: Fast and approximated shapley based model pruning towards certifiably robust dnns.SaTML, 2022

Reference 15

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:18511d34e78879294073749f94b12a69edabce53ca76efcd3f7b50941530d73c

Observation 0d546e6e-238e-4295-aeee-bc7f1ec87b69 · outbound

This paper cites Kavathekar, H.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Kavathekar, H

Reference 16

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metadata mismatch
arxiv_id, observed 2026-07-03T15:08:33.266366Z

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=2026-06-27T06:40:48.023261Z digest=sha256:1aa61d147990e5084df5b92622b85b65b32a43169ec209e1bf335ecf706b8d7d

Observation edf99944-a0f2-4152-8bc4-df6ec3181640 · outbound

This paper cites Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 17

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local_arxiv, observed 2026-07-03T15:08:33.272247Z

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

source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:8a46a054fb8964a8b78f1eeb3393ef082402c4635c97ca1f8ee5c399434a3d0e

Observation 3a5bc70a-f4a4-45d5-9b73-fffc4b94209c · outbound

This paper cites A unified approach to interpreting model predictions.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems A unified approach to interpreting model predictions

Reference 18

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:b2126356cbaf7469e623ab3e05593168d0f3fcb82d8ce1f3d3db728bca8a6805

Observation bac48bd8-af3b-419a-8dbf-0f71503e760f · outbound

This paper cites Communicative agents for software development.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Communicative agents for software development

Reference 19

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:742522b517ba66959ff057f04ef84147a1cf252e2d26882a012195203255929a

Observation fba5bdd6-d060-4dbe-8972-773d013f914b · outbound

This paper cites Identifying the risks of lm agents with an lm-emulated sandbox.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Identifying the risks of lm agents with an lm-emulated sandbox

Reference 20

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:836ae45c4b5894a96d3319321d0bcf89be0288fed447741c691e0b472b03c0ce

Observation b02e0fc7-b40e-42f9-9d0e-41f00dc3ee3c · outbound

This paper cites Rollout-based shapley values for explainable cooperative multi-agent reinforcement learning.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Rollout-based shapley values for explainable cooperative multi-agent reinforcement learning

Reference 21

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:764dd03f7e5f057df0c232837a8ed6c056e2bc4fcc822a734ae288b7000ad5f8

Observation d0e4042b-0373-4198-a944-49691597932c · outbound

This paper cites A value for n-person games.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems A value for n-person games

Reference 22

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:db94957b3df905f6ec5c508a1940a6c5a7803e00d93b048ba723e6e871b4cebd

Observation 3357337c-e02b-423a-8f64-2529955c9854 · outbound

This paper cites Medagents: Large language models as collaborators for zero-shot medical reasoning.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Medagents: Large language models as collaborators for zero-shot medical reasoning

Reference 23

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:c4a04bea679392c01444c9b1d840b394ae4994a02b856ab3da36046ab2d34984

Observation 64d2fc31-1472-4e88-888c-57965fa1c6be · outbound

This paper cites GroupGuard: Collusive Attack Defense for Multi-Agent Systems.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems GroupGuard: Collusive Attack Defense for Multi-Agent Systems

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:08:33.269443Z

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=2026-06-27T06:40:48.023261Z digest=sha256:6160159b3ef5b1939616dfe6e2d67b8792fc421e11c1fc05ca8fed00398679fb

Observation 9f5ffc61-9b55-4417-b4a4-16539a585418 · outbound

This paper cites Shapley q-value: A local reward approach to solve global reward games.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Shapley q-value: A local reward approach to solve global reward games

Reference 25

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:426fffd5fd1280247e94286d48955deb67f068303ab8c3198bca58b6cf73d4ec

Observation 1616f262-a17f-4bb1-b83a-ea77b092dc50 · outbound

This paper cites Tokenshapley: Token level context attribution with shapley value.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Tokenshapley: Token level context attribution with shapley value

Reference 26

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:c0ee2fc3e3a35832456494275afa1a1c12a4e9c7f31b173b2a7068e6396a1fd2

Observation 211cd258-44de-463d-8b2d-41dbac8cb8c5 · outbound

This paper cites Psysafe: A comprehensive framework for psychological-based attack, defense, and evaluation of multi-agent system safety.

MAStrike: Shapley-Guided Collusive Red-Teaming on Multi-Agent Systems Psysafe: A comprehensive framework for psychological-based attack, defense, and evaluation of multi-agent system safety

Reference 27

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source=pdf_text observed=2026-06-27T06:40:48.023261Z digest=sha256:db65be5b3942af4f105bfcd7c1fbdcaa5b6092c5d403ba18816dc03a371b76b4

Pith citing papers

No inbound Pith citation observations are available.