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Paper Citation Record · LEDGER

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2606.19826.

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

pith.paper-citation-record.v1
2606.19826 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T17:17:05.107942Z

measured 41 of 41 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 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

41 of 41 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ab82328-02d9-4a85-bf6d-23051e6ca40f · outbound

This paper cites Forty-first international conference on machine learning , year=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Forty-first international conference on machine learning , year=

Reference 1

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Observation b8d9a9b6-fa36-48c2-a9a0-efa81b9abbf1 · outbound

This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Proceedings of the 2024 conference on empirical methods in natural language processing , pages=

Reference 2

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Observation fad2f9eb-b13b-49f0-9f5d-2640a47ccd31 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 3

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:4f2e804142ee357c230af74c37359e736fe0df0d0c1e2969040f47012fb037d1

Observation 0eacd0b7-d6a3-473e-94f2-1f2013cecaeb · outbound

This paper cites Debating with More Persuasive LLMs Leads to More Truthful Answers.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Debating with More Persuasive LLMs Leads to More Truthful Answers

Reference 4

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arxiv_id, observed 2026-07-04T03:59:34.283597Z

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=2026-06-26T17:17:05.107942Z digest=sha256:87a5d1e02c0a6a5a592dce21bf825b73202a564f14ac5f2467754adaba8c4324

Observation e7677f70-cff7-4bca-8113-27ef3211c081 · outbound

This paper cites Diversity of thought elicits stronger reasoning capabilities in multi-agent debate frameworks.arXiv preprint arXiv:2410.12853.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Diversity of thought elicits stronger reasoning capabilities in multi-agent debate frameworks.arXiv preprint arXiv:2410.12853

Reference 5

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arxiv_id, observed 2026-07-04T03:59:34.286939Z

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

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Observation b0728dc5-87fd-465f-9a77-da22ec672a2c · outbound

This paper cites Journal of King Saud University Computer and Information Sciences , volume=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Journal of King Saud University Computer and Information Sciences , volume=

Reference 6

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:74dcf616170c18bd683f03fd87816aff6831809c047e1adb1e10fc704571e647

Observation b2ac482a-8485-4275-a117-6a62dac863b2 · outbound

This paper cites Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Reference 7

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arxiv_id, observed 2026-07-04T04:09:33.490797Z

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

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Observation 48381f58-83ac-4a2b-92de-bdebd873f8f4 · outbound

This paper cites Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao

Reference 8

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arxiv_id, observed 2026-07-04T03:59:34.302986Z

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

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Observation 7e84d23c-c86b-4680-9d80-4fd907d49144 · outbound

This paper cites an unresolved cited work.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Unresolved cited work

Reference 9

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Observation 78be40b0-58fa-4ef9-b394-156deb66a64c · outbound

This paper cites On the resilience of.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience On the resilience of

Reference 10

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Observation f8018f98-90cf-4c58-8626-fff5e1f4e3df · outbound

This paper cites Scientific Reports , volume=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Scientific Reports , volume=

Reference 11

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Observation 03651095-5d44-4052-aac2-70ed9a716824 · outbound

This paper cites Combating Adversarial Attacks with Multi-Agent Debate.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Combating Adversarial Attacks with Multi-Agent Debate

Reference 12

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arxiv_id, observed 2026-07-04T04:09:33.504373Z

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

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Observation fd0df02f-9f1a-42c3-a627-6ae2a1eff624 · outbound

This paper cites Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Detection Without Correction: A Two-Parameter Decomposition of Multi-Stage

Reference 13

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Observation 8a936509-9451-4f7d-b07b-fc97c4bb7b61 · outbound

This paper cites an unresolved cited work.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:867b63e882777c2b5b70a4ec825abb003f2dc303bda827acee9dc253189d2cb5

Observation 771d047d-9e90-4808-aced-f1b43f090d93 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 15

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Observation 712336c2-288b-420f-b102-cdc038221689 · outbound

This paper cites When Agents Disagree: The Selection Bottleneck in Multi-Agent.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience When Agents Disagree: The Selection Bottleneck in Multi-Agent

Reference 16

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Observation d4062d9e-c7e2-45e4-bfc5-34f324f9c65a · outbound

This paper cites Applied Sciences , volume=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Applied Sciences , volume=

Reference 17

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Observation 52f11a81-2fa9-4ea5-8cd2-f716851281d9 · outbound

This paper cites an unresolved cited work.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:2bd19e87ab071447ab77de04ec96adb2a8a680374c66023b4603bd5d7e50cb36

Observation 6f26ed45-04df-45f9-bc34-88cf8a5d99fe · outbound

This paper cites Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Benchmarking the Robustness of Agentic Systems to Adversarially-Induced Harms

Reference 19

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arxiv_id, observed 2026-08-11T01:16:07.083257Z

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Observation 6b807f0b-2a87-4ce2-b709-f4f0b2b42668 · outbound

This paper cites an unresolved cited work.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Unresolved cited work

Reference 20

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Observation b55b2158-4ae7-49de-8c38-9366338f86fa · outbound

This paper cites AgentShield: Make.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience AgentShield: Make

Reference 21

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:a671b49595b7d2d2db7b02f50118b44c2843909d66543fd8dbe09c7210ef57f4

Observation eb866180-c125-4ea5-ae01-5e7061676897 · outbound

This paper cites Large Language Model Sentinel: LLM Agent for Adversarial Purification.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Large Language Model Sentinel: LLM Agent for Adversarial Purification

Reference 22

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:0ec9cba22a466505502a018c42a1718fccaf5f24845efc380ce18c81e1d1e660

Observation 57534950-d33d-4274-928a-2a25027c71b2 · outbound

This paper cites NomicLaw: Emergent Trust and Strategic Argumentation in.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience NomicLaw: Emergent Trust and Strategic Argumentation in

Reference 23

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:93264bf1de80e1e77303d775578b3ad0982cdc12b45fc5e5660a4c9a2da2e2c6

Observation b00d32bf-96a9-4ff0-84c7-cf6247ae5377 · outbound

This paper cites Measuring mathematical problem solving with the.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Measuring mathematical problem solving with the

Reference 24

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Observation 772062d6-7193-4cd3-a431-f40979d3a79a · outbound

This paper cites International Conference on Learning Representations , volume=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience International Conference on Learning Representations , volume=

Reference 25

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Observation f91c96fc-1a8a-4feb-886b-a21d116be68e · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 26

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local_arxiv, observed 2026-07-04T03:59:34.281841Z

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

source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:39f53bd2a3647983947f2c7f8c4a096bbdad3a383a8f37b3b07c2e5de6f687f8

Observation 3f84526a-fe14-4bc8-b16e-35ff125f8a03 · outbound

This paper cites International Conference on Learning Representations , volume=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience International Conference on Learning Representations , volume=

Reference 27

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Observation 6e5e713e-7636-4e82-a932-07c0fcbd4be4 · outbound

This paper cites International conference on learning representations , volume=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience International conference on learning representations , volume=

Reference 28

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Observation 88c7470c-702c-497c-86fc-149508017de6 · outbound

This paper cites International Conference on Learning Representations , volume=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience International Conference on Learning Representations , volume=

Reference 29

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Observation 3a6aa030-06ee-423d-8e4e-0a9687d89a8b · outbound

This paper cites Should we be going mad? a look at multi-agent debate strategies for.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Should we be going mad? a look at multi-agent debate strategies for

Reference 30

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:3e9eb8f87cf706ca3f92101f652a034550480bee92f07dba5681e86a7fc5c056

Observation 3ffbc689-9c21-4b0e-99e0-b2d4b202bec9 · outbound

This paper cites Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue , pages=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue , pages=

Reference 31

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Observation 826b5ad9-221c-46b8-9d64-b6b5848a484f · outbound

This paper cites Who am I, and who else is here?.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Who am I, and who else is here?

Reference 32

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verified exact
arxiv_id, observed 2026-07-04T03:59:34.295079Z

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=2026-06-26T17:17:05.107942Z digest=sha256:ce18c59f0f34b2daf58641ad96ac266acb86cb7a9906b7d9f1777a0f692c3984

Observation ed479c4f-0621-40d8-9c54-cae7114d4241 · outbound

This paper cites Dissecting Adversarial Robustness of Multimodal LM Agents.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Dissecting Adversarial Robustness of Multimodal LM Agents

Reference 33

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arxiv_id, observed 2026-07-04T03:59:34.298535Z

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

source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:2e690899c31bfe7410df679b1a8ded84f5692feb7a7ab00afa06c118c7f04057

Observation 05ff4b23-4148-442a-92f7-63d387e04257 · outbound

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Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Unresolved cited work

Reference 34

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Observation baeb5fb1-e9fa-45d8-8ad7-d43997574ab3 · outbound

This paper cites Representational Collapse in Multi-Agent.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Representational Collapse in Multi-Agent

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:814599cc6f659356203e4ccd4465ad45ddd566b3e910195636bd1b40d1dda496

Observation 6bde084f-36d5-4216-9f9a-f36691707201 · outbound

This paper cites Not All Flips Are Conformity: Decomposing Stance Convergence in Multi-Agent.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Not All Flips Are Conformity: Decomposing Stance Convergence in Multi-Agent

Reference 36

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no resolver link, observed 2026-06-26T17:17:05.107942Z

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:c02fff08dd127b6a5de0aa130ad04b2024b10428de35494dcc2b0978d2f1562b

Observation 94047063-6cf0-472b-8c6b-2b716f7a2a4a · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 37

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unresolved
no resolver link, observed 2026-06-26T17:17:05.107942Z

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:00f50ec68e62cbef2bb823b1746301212a19657f85ec554c0ccd48384cb7601b

Observation 862453c9-8c78-42c7-af21-88208c7d0227 · outbound

This paper cites Parrot: Persuasion and agreement ro- bustness rating of output truth–a sycophancy robustness benchmark for llms.arXiv preprint arXiv:2511.17220.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Parrot: Persuasion and agreement ro- bustness rating of output truth–a sycophancy robustness benchmark for llms.arXiv preprint arXiv:2511.17220

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:34.291530Z

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=2026-06-26T17:17:05.107942Z digest=sha256:70afe1ae9f739b0ba727ab8f99686b750051f8fa288b91d324e98fec6e49b0e0

Observation aa100da5-1046-4693-b9dd-5a19840ce407 · outbound

This paper cites Byzantine-Robust Decentralized Coordination of.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Byzantine-Robust Decentralized Coordination of

Reference 39

Resolution
unresolved
no resolver link, observed 2026-06-26T17:17:05.107942Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:69610ae224d29727b3a11393b8acb093174513dfb517b352c0c4d7a52bc97dd2

Observation 6eb16567-45f5-4279-be37-bde2918b7e36 · outbound

This paper cites Rethinking the reliability of multi-agent system: A perspective from.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience Rethinking the reliability of multi-agent system: A perspective from

Reference 40

Resolution
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no resolver link, observed 2026-06-26T17:17:05.107942Z

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:b6d5649d5587e3bee962046c3b1048f2ab7bb82b44ab399c70b7edbf775266bc

Observation e5ec5660-1bc9-4596-9116-f9af4eea67c4 · outbound

This paper cites When persuasion overrides truth in multi-agent.

Heterogeneous LLM Debate Under Adversarial Peers: Honest Gains, Replacement Costs, and Resilience When persuasion overrides truth in multi-agent

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-26T17:17:05.107942Z

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source=arxiv_source observed=2026-06-26T17:17:05.107942Z digest=sha256:eec82a8434bdb1a9616e74d20e6306f41eb35865387690d0479f97306964bd0f

Pith citing papers

No inbound Pith citation observations are available.