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Paper Citation Record · LEDGER

Free-MAD: Consensus-Free Multi-Agent Debate

As of 21 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 10 inbound Pith citation observations for arXiv:2509.11035.

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

pith.paper-citation-record.v1
2509.11035 v1

Coverage vector

measured 91 of 91 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:15:07.219531Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:51:00.851788Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

91 of 91 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved88
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 759e22cb-7b55-4aa4-b2be-2122f9d04f65 · outbound

This paper cites Citation-enhanced generation for LLM-based chatbots.

Free-MAD: Consensus-Free Multi-Agent Debate Citation-enhanced generation for LLM-based chatbots

Reference 1

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source=pdf_text observed=2026-08-04T17:14:59.394463Z digest=sha256:b7cacb638986a723b43cb1e98c88ff588d7024b9e5d5b74ce5a914121e70d350

Observation 5ae20a2d-0ad7-44c0-82bf-9a0e97fb2b57 · outbound

This paper cites CodeScope: An execution-based multilingual multitask multidimensional benchmark for evaluating LLMs on code understanding 9 and generation.

Free-MAD: Consensus-Free Multi-Agent Debate CodeScope: An execution-based multilingual multitask multidimensional benchmark for evaluating LLMs on code understanding 9 and generation

Reference 2

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source=pdf_text observed=2026-08-04T17:14:59.460573Z digest=sha256:6293616fead10fa213531f27e89791461fe602ffb4a90dcfd398b78092057ba2

Observation ab6e6c80-f49e-4dba-97bc-34c36b2b6810 · outbound

This paper cites A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions.

Free-MAD: Consensus-Free Multi-Agent Debate A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions

Reference 3

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source=pdf_text observed=2026-08-04T17:14:59.547827Z digest=sha256:697036a6295068168f43fbff81ff82f8478ab7458a3b6cb48f23337f828bb974

Observation 0e149042-bd3a-41e3-af71-a75488c7a8da · outbound

This paper cites Healai: A healthcare llm for effective medical documentation.

Free-MAD: Consensus-Free Multi-Agent Debate Healai: A healthcare llm for effective medical documentation

Reference 4

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source=pdf_text observed=2026-08-04T17:14:59.605694Z digest=sha256:9c7bf8dfd821be1a2c6f9430ef2289fdef90747b02c25a74d0495b9b0af21ea6

Observation b033ad50-9f82-4f0c-8120-a49c64bad5da · outbound

This paper cites Leveraging large language models for challenge solving in capture-the-flag.

Free-MAD: Consensus-Free Multi-Agent Debate Leveraging large language models for challenge solving in capture-the-flag

Reference 5

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source=pdf_text observed=2026-08-04T17:14:59.661331Z digest=sha256:80a84726900e36f50b4438dcd5b1a3b9adaaeac930664f2efe803f2093251444

Observation 6d55aed8-a616-449d-bc83-3e54216e70a3 · outbound

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

Free-MAD: Consensus-Free Multi-Agent Debate Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 6

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source=pdf_text observed=2026-08-04T17:14:59.774813Z digest=sha256:140d49faa2018361972b8dd168f38e9fd51f583cd92165b9359573f1ca59de7c

Observation 081e01d1-b6c1-47f0-8d75-56703fbc0ea8 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Free-MAD: Consensus-Free Multi-Agent Debate Chain-of-thought prompting elicits reasoning in large language models

Reference 7

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source=pdf_text observed=2026-08-04T17:14:59.835691Z digest=sha256:e36c5a503a7e5f1d6e5c013277c9233d3b3d64b6bdc8751c9ccac304fcfb22f2

Observation b17787cc-35ed-4d4a-903c-87b9fbef4667 · outbound

This paper cites Self-refine: iterative refinement with self-feedback.

Free-MAD: Consensus-Free Multi-Agent Debate Self-refine: iterative refinement with self-feedback

Reference 8

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source=pdf_text observed=2026-08-04T17:14:59.885384Z digest=sha256:e8cc34fad659fface0e371c561c031026261b865c6a1dafb5e62b4f86eeb577c

Observation 32915400-3ab9-4e94-8f79-21e00a64ebc8 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

Free-MAD: Consensus-Free Multi-Agent Debate Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 9

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source=pdf_text observed=2026-08-04T17:14:59.941639Z digest=sha256:32ea9edb423d678f7eb8e3e74e98ccd0d5cfcc11862b320e4836ea0a8229e306

Observation 4c151175-8df6-403e-9bda-67938d9d62e8 · outbound

This paper cites S 2-MAD: Breaking the token barrier to enhance multi-agent debate efficiency.

Free-MAD: Consensus-Free Multi-Agent Debate S 2-MAD: Breaking the token barrier to enhance multi-agent debate efficiency

Reference 10

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source=pdf_text observed=2026-08-04T17:14:59.985026Z digest=sha256:60b24025b56146b2c144dac94800aea067b84e71b23f119aff45a389f32f979c

Observation d184a3c3-5ac5-4a84-9801-2b05fa638532 · outbound

This paper cites Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch.

Free-MAD: Consensus-Free Multi-Agent Debate Tenenbaum, Antonio Torralba, Shuang Li, and Igor Mordatch

Reference 11

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source=pdf_text observed=2026-08-04T17:15:00.055015Z digest=sha256:8573bd07ddc0b8cb24333064148e406d3452045c239d01ef3f92907fec7938bf

Observation 4686f9d3-3a18-40bd-bf4a-818d26a3ba75 · outbound

This paper cites Tenenbaum, and Igor Mordatch.

Free-MAD: Consensus-Free Multi-Agent Debate Tenenbaum, and Igor Mordatch

Reference 12

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source=pdf_text observed=2026-08-04T17:15:00.112178Z digest=sha256:7740faf689bd3582b35f7433ae63fe32ffd23f2fb438f4a8bc0ecc0c3a74ea0a

Observation 97cd1eee-ace6-44b7-a6de-c1101802e4d3 · outbound

This paper cites Chateval: Towards better LLM-based evaluators through multi-agent debate.

Free-MAD: Consensus-Free Multi-Agent Debate Chateval: Towards better LLM-based evaluators through multi-agent debate

Reference 13

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source=pdf_text observed=2026-08-04T17:15:00.168091Z digest=sha256:5994a68ce734f210e99a32b6f18c7ea6fab1c689d4b38dc0054c990419facef6

Observation 181d4ee9-6b59-475b-86bd-a72ca7eb1695 · outbound

This paper cites Breaking mental set to improve reasoning through diverse multi-agent debate.

Free-MAD: Consensus-Free Multi-Agent Debate Breaking mental set to improve reasoning through diverse multi-agent debate

Reference 14

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source=pdf_text observed=2026-08-04T17:15:00.216499Z digest=sha256:4adfb40db9bd3e529ae84481dd55a293f2c4a9089e2e63fc8af4bcaf6799bed8

Observation b40ceae9-479d-4729-86fd-69c366bc1a4f · outbound

This paper cites SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution.

Free-MAD: Consensus-Free Multi-Agent Debate SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution

Reference 15

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source=pdf_text observed=2026-08-04T17:15:00.327917Z digest=sha256:1ac6a8df54eeb16328e42aac4cc7b82830ccb748e0c0c357c0f56090331b829a

Observation 5896afad-2958-4e4b-b0bf-8423e0aa431d · outbound

This paper cites Debate4MATH: Multi-agent debate for fine-grained reasoning in math.

Free-MAD: Consensus-Free Multi-Agent Debate Debate4MATH: Multi-agent debate for fine-grained reasoning in math

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-04T17:15:00.396204Z digest=sha256:0bdf2634f6c42421cc121c1ec0459bbf31f4227079fb9d0e5f3fbadd8936f3a5

Observation d2cbbb92-7604-4c5b-9206-a9f695b4b71f · outbound

This paper cites Enhancing LLM Performance Through Debate: An Empirical Study on Multi-Agent Debate for Coding Tasks.

Free-MAD: Consensus-Free Multi-Agent Debate Enhancing LLM Performance Through Debate: An Empirical Study on Multi-Agent Debate for Coding Tasks

Reference 17

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source=pdf_text observed=2026-08-04T17:15:00.454933Z digest=sha256:42285c794c00a142052b8c6964dbb1b56dada0f5ecf034b79330ef7d822df4ff

Observation 164c7663-3fc4-4c58-86dc-342a64c3a3d9 · outbound

This paper cites Do as we do, not as you think: the conformity of large language models.

Free-MAD: Consensus-Free Multi-Agent Debate Do as we do, not as you think: the conformity of large language models

Reference 18

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source=pdf_text observed=2026-08-04T17:15:00.511064Z digest=sha256:f544a5945af4002490ed43ddd3f69db761d4634597688a05e07f1c92afd1c7a7

Observation a1a4d381-94cf-45bf-a45b-efd814f806bc · outbound

This paper cites Conformity in large language models.

Free-MAD: Consensus-Free Multi-Agent Debate Conformity in large language models

Reference 19

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source=pdf_text observed=2026-08-04T17:15:00.589401Z digest=sha256:3a6b3a53870e5dfebd600e767d292ff64105bd1438667a554e696f1ce43fb23b

Observation 03c929cb-b607-4716-914b-91863d013bf2 · outbound

This paper cites Herd behavior: Investigating peer influence in llm-based multi-agent systems, 2025.

Free-MAD: Consensus-Free Multi-Agent Debate Herd behavior: Investigating peer influence in llm-based multi-agent systems, 2025

Reference 20

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source=pdf_text observed=2026-08-04T17:15:00.727714Z digest=sha256:f19f29a922ce33724d5c9eb2d84493026319aabd9fae40d766b06129f147e4b1

Observation ef4f5513-f765-4bc1-ae5b-90d53edd1d72 · outbound

This paper cites Corex: Pushing the boundaries of complex reasoning through multi-model collaboration.

Free-MAD: Consensus-Free Multi-Agent Debate Corex: Pushing the boundaries of complex reasoning through multi-model collaboration

Reference 21

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source=pdf_text observed=2026-08-04T17:15:00.789859Z digest=sha256:84578b59f2feea284c58fb94aa04f14f334524fa14fa70fd3fbf9319014234b2

Observation 9420a987-0cd5-4e80-a414-36e7e79e1f8c · outbound

This paper cites Improving multi-agent debate with sparse communication topology.

Free-MAD: Consensus-Free Multi-Agent Debate Improving multi-agent debate with sparse communication topology

Reference 22

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source=pdf_text observed=2026-08-04T17:15:00.881022Z digest=sha256:4d62553e4924e8563d10c1850b96b6425dcdcc3cdfe28bc0592489ba2e6bd6b9

Observation 7e22b06d-b807-4999-bd6d-38bbf41b4ea0 · outbound

This paper cites Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making.

Free-MAD: Consensus-Free Multi-Agent Debate Silence is Not Consensus: Disrupting Agreement Bias in Multi-Agent LLMs via Catfish Agent for Clinical Decision Making

Reference 23

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source=pdf_text observed=2026-08-04T17:15:00.931700Z digest=sha256:0dd474da11713bcd88b773e9eb15c19eaa84d58b0833b4177e32d06ccf6e5273

Observation 3bb368a6-ae3b-4c63-a1ea-ba9110787155 · outbound

This paper cites ReConcile: Round-table conference improves reasoning via consensus among diverse LLMs.

Free-MAD: Consensus-Free Multi-Agent Debate ReConcile: Round-table conference improves reasoning via consensus among diverse LLMs

Reference 24

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source=pdf_text observed=2026-08-04T17:15:01.028003Z digest=sha256:b317ba7fa4cabc596e6235f3b905d959dc0c2c4d15da0cb285b93d67ff4481fd

Observation 8b15c112-7bc7-463a-be4e-a47c38ada37d · outbound

This paper cites Encouraging divergent thinking in large language models through multi-agent debate.

Free-MAD: Consensus-Free Multi-Agent Debate Encouraging divergent thinking in large language models through multi-agent debate

Reference 25

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source=pdf_text observed=2026-08-04T17:15:01.084827Z digest=sha256:d0d3b63307738f2431706baec9a685b16460b6cd9705b6f9a091c7381fcf7340

Observation 666b3620-7d29-47a9-bbb5-4e655bd27dd2 · outbound

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

Free-MAD: Consensus-Free Multi-Agent Debate Red-teaming LLM multi-agent systems via communication attacks

Reference 26

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source=pdf_text observed=2026-08-04T17:15:01.170316Z digest=sha256:872f3854a61e1f50a51c97fc979225a7125543ae1bffece506327dea0ae59973

Observation a7dc7aa3-f4ff-443e-a4e4-4182d93276ce · outbound

This paper cites Towards mitigating LLM hallucination via self reflection.

Free-MAD: Consensus-Free Multi-Agent Debate Towards mitigating LLM hallucination via self reflection

Reference 27

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source=pdf_text observed=2026-08-04T17:15:01.262498Z digest=sha256:f0ae01123fcae3c6123e2b11e109dc7cfb4f9bc8bbe85fabd2b413eb499b4f82

Observation 7034a349-9abb-4a40-81f7-98cf0e154a26 · outbound

This paper cites Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection.

Free-MAD: Consensus-Free Multi-Agent Debate Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection

Reference 28

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source=pdf_text observed=2026-08-04T17:15:01.338824Z digest=sha256:6ace7eb7883099690597d4b9b03aeee677855e8187dee44d5737d964bd984062

Observation 58888ec2-0c37-43db-8a43-68ee0a489596 · outbound

This paper cites Formalizing and benchmarking prompt injection attacks and defenses.

Free-MAD: Consensus-Free Multi-Agent Debate Formalizing and benchmarking prompt injection attacks and defenses

Reference 29

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source=pdf_text observed=2026-08-04T17:15:01.402789Z digest=sha256:ced1952c6bb615cd75000434e4a00028fbbd52275a80b94d60af562073e11a72

Observation d7b00bcb-8896-41f0-a9db-20cac8384df2 · outbound

This paper cites Adaptive attacks break defenses against indirect prompt injection attacks on LLM agents.

Free-MAD: Consensus-Free Multi-Agent Debate Adaptive attacks break defenses against indirect prompt injection attacks on LLM agents

Reference 30

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source=pdf_text observed=2026-08-04T17:15:01.448386Z digest=sha256:942c8ca320d26d89820f9a9c25fb505ff2bc6d7fd5d245a863850f5c93a0731b

Observation 9462f9a4-2afd-4d3d-98a6-925206ccde4c · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Free-MAD: Consensus-Free Multi-Agent Debate Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 31

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source=pdf_text observed=2026-08-04T17:15:01.538830Z digest=sha256:011606750f61df2972819598b69d2c5ae2857f20592a17eada3cdfb666b41179

Observation 2a2a4fa0-013f-4913-9e00-fa38553442cf · outbound

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

Free-MAD: Consensus-Free Multi-Agent Debate Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Reference 32

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source=pdf_text observed=2026-08-04T17:15:01.617748Z digest=sha256:6f2541f43b137a869b77e36c4dd6a90053282e1bff77baeb9caf1723fbefb9a8

Observation 764fea35-f39d-4169-9d4f-f73214ded9a0 · outbound

This paper cites Blockagents: Towards byzantine- robust llm-based multi-agent coordination via blockchain.

Free-MAD: Consensus-Free Multi-Agent Debate Blockagents: Towards byzantine- robust llm-based multi-agent coordination via blockchain

Reference 33

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source=pdf_text observed=2026-08-04T17:15:01.697852Z digest=sha256:18cf77ccb513779dac5f8996cb18cef30b248975901dce5db3a632466db50dd9

Observation a8258143-3763-4f6f-a648-1c37df5f0ba3 · outbound

This paper cites Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification.

Free-MAD: Consensus-Free Multi-Agent Debate Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification

Reference 34

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source=pdf_text observed=2026-08-04T17:15:01.750168Z digest=sha256:c1c5e10b76866e638e3c6dfcb4b315e44c92b7b448c661a1317ae8d438059274

Observation 33286e78-b95c-4033-9c50-10392362937f · outbound

This paper cites Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate.

Free-MAD: Consensus-Free Multi-Agent Debate Amplified Vulnerabilities: Structured Jailbreak Attacks on LLM-based Multi-Agent Debate

Reference 35

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source=pdf_text observed=2026-08-04T17:15:01.792530Z digest=sha256:3589cced3d2f8aed897cfd370d533a69a0fc7fe1fe2cd348814c337c7fad67bc

Observation 877c5b03-5b34-475e-b380-e969c96804b9 · outbound

This paper cites A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network.

Free-MAD: Consensus-Free Multi-Agent Debate A Weighted Byzantine Fault Tolerance Consensus Driven Trusted Multiple Large Language Models Network

Reference 36

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source=pdf_text observed=2026-08-04T17:15:01.873567Z digest=sha256:ea7596f071da62805062483432aeabd28d2ee79b7cbc039a6fc00810934a56fb

Observation be352069-5b22-4ef2-8c8d-bc45c4c2fb74 · outbound

This paper cites Fisco-bcos: An enterprise-grade permissioned blockchain system with high-performance.

Free-MAD: Consensus-Free Multi-Agent Debate Fisco-bcos: An enterprise-grade permissioned blockchain system with high-performance

Reference 37

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source=pdf_text observed=2026-08-04T17:15:01.960385Z digest=sha256:92fbc86f380fbb18c51f1d692f70b658d1d9aa50f21e583d7a00eb80d976245f

Observation 12d96b4c-6084-42b2-b8a7-510bc965a05c · outbound

This paper cites Waterbear: practical asynchronous bft matching security guarantees of partially synchronous bft.

Free-MAD: Consensus-Free Multi-Agent Debate Waterbear: practical asynchronous bft matching security guarantees of partially synchronous bft

Reference 38

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source=pdf_text observed=2026-08-04T17:15:01.970805Z digest=sha256:431fe204d69cc537cceb658e42b66bd33eec16bd2e293f305cb6d6de1b07475d

Observation 8a70e449-7ff7-4b2e-9377-d78c96135f36 · outbound

This paper cites Reiter, and Haibin Zhang.

Free-MAD: Consensus-Free Multi-Agent Debate Reiter, and Haibin Zhang

Reference 39

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source=pdf_text observed=2026-08-04T17:15:02.033274Z digest=sha256:00841ecf5a8483bcd03f95e336de613d6be04b4875489051b79d5ac71d1c8e58

Observation a5653c84-632f-4690-9c4a-07172209f011 · outbound

This paper cites Examining inter-consistency of large language models collaboration: An in-depth analysis via debate.

Free-MAD: Consensus-Free Multi-Agent Debate Examining inter-consistency of large language models collaboration: An in-depth analysis via debate

Reference 40

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source=pdf_text observed=2026-08-04T17:15:02.118355Z digest=sha256:dfebb079b8cc4bb5070c22e4168fad9f525aca84cf92e13d442527e7785322ce

Observation a4bdf08f-2fc3-4316-83ac-63d4b2f54472 · outbound

This paper cites MALIBU benchmark: Multi-agent LLM implicit bias uncovered.

Free-MAD: Consensus-Free Multi-Agent Debate MALIBU benchmark: Multi-agent LLM implicit bias uncovered

Reference 41

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source=pdf_text observed=2026-08-04T17:15:02.171964Z digest=sha256:76435f11679d78e1a1db58d788268ee440332c236580a2cefb98d9fc2475ed9d

Observation a12a9034-2a4f-4235-ba0b-1ef80f915973 · outbound

This paper cites PapersPlease: A benchmark for evaluating motivational values of large language models based on ERG theory.

Free-MAD: Consensus-Free Multi-Agent Debate PapersPlease: A benchmark for evaluating motivational values of large language models based on ERG theory

Reference 42

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source=pdf_text observed=2026-08-04T17:15:02.264695Z digest=sha256:d440d234f92c5c392236ff48f4c98becb554b801a66c8d22c155178c31956ada

Observation af7a7e57-ceb6-43be-a93a-a924c70bb388 · outbound

This paper cites DEBATE: Devil’s advocate-based assessment and text evaluation.

Free-MAD: Consensus-Free Multi-Agent Debate DEBATE: Devil’s advocate-based assessment and text evaluation

Reference 43

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source=pdf_text observed=2026-08-04T17:15:02.307420Z digest=sha256:139c04d123f42300e897b75efd2d1fb7ebe66bff00c8b581143efef0751bf085

Observation 833d5f9d-1960-4132-a774-1f1a59e7cce9 · outbound

This paper cites Learning to break: Knowledge-enhanced reasoning in multi-agent debate system.

Free-MAD: Consensus-Free Multi-Agent Debate Learning to break: Knowledge-enhanced reasoning in multi-agent debate system

Reference 44

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source=pdf_text observed=2026-08-04T17:15:02.450848Z digest=sha256:54491b6fa931d7a632cce977bf73ba7f893147fac6333509d3eb6338a00fa6f0

Observation 7a311567-f4c9-48f8-a700-e8bf96f59831 · outbound

This paper cites Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges.

Free-MAD: Consensus-Free Multi-Agent Debate Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges

Reference 45

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source=pdf_text observed=2026-08-04T17:15:02.529298Z digest=sha256:36bde1904e1eb56992de067941993630abef51c1fa2ed615f7f1ff027f181ed7

Observation 2d281ff9-cef7-48f5-bee1-4a772388d6c2 · outbound

This paper cites AIME Problems and Solutions, 2025.

Free-MAD: Consensus-Free Multi-Agent Debate AIME Problems and Solutions, 2025

Reference 46

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source=pdf_text observed=2026-08-04T17:15:02.630662Z digest=sha256:f9212e5fd6166388915007bfb43811f393fe125977cc135f9a49e26a734d4d3c

Observation f9e50c95-b705-4112-a4e8-464abc747986 · outbound

This paper cites Let’s verify step by step.

Free-MAD: Consensus-Free Multi-Agent Debate Let’s verify step by step

Reference 47

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source=pdf_text observed=2026-08-04T17:15:02.733907Z digest=sha256:fbd4a1363c54d670a6f774bf6d5cfd61646d583c6c8aa587a6ccb29653413169

Observation 07795fa7-cf71-46c3-bf8c-987c7d7cd29b · outbound

This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies.

Free-MAD: Consensus-Free Multi-Agent Debate Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Reference 48

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no resolver link, observed 2026-08-04T17:15:02.838425Z

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source=pdf_text observed=2026-08-04T17:15:02.838425Z digest=sha256:2d56ee15381375e985bd6ea4bc6bee940c8abf0a2b2360fdd100e243ce34b003

Observation 74e22c37-e031-471a-8703-65684e53b969 · outbound

This paper cites Measuring massive multitask language understanding.Proceedings of the International Conference on Learning Representations (ICLR), 2021.

Free-MAD: Consensus-Free Multi-Agent Debate Measuring massive multitask language understanding.Proceedings of the International Conference on Learning Representations (ICLR), 2021

Reference 49

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source=pdf_text observed=2026-08-04T17:15:03.008790Z digest=sha256:261ebcbbb25dd26b193ca8e172d8fb1646ca89b35c9f771554f9983c9f948f7b

Observation 0840b22b-4f66-437a-8a06-addfc2245f59 · outbound

This paper cites AICrypto: Evaluating Cryptography Capabilities of Large Language Models.

Free-MAD: Consensus-Free Multi-Agent Debate AICrypto: Evaluating Cryptography Capabilities of Large Language Models

Reference 50

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source=pdf_text observed=2026-08-04T17:15:03.276741Z digest=sha256:25e1caeda747158bcbf604e1015404135951c2f3075d82932bbefbf80b466f21

Observation 28c5910e-da10-4679-9210-a9a8f538fa50 · outbound

This paper cites DeepSeek-V3 Technical Report.

Free-MAD: Consensus-Free Multi-Agent Debate DeepSeek-V3 Technical Report

Reference 51

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source=pdf_text observed=2026-08-04T17:15:04.004265Z digest=sha256:a7d540fe8635af741b37b964b73e905f4a0cd41519e5f3a10cab94dfd06f10ee

Observation 85d0e413-849b-48d2-b20e-f074f8d90655 · outbound

This paper cites Qwen2.5 Technical Report.

Free-MAD: Consensus-Free Multi-Agent Debate Qwen2.5 Technical Report

Reference 52

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source=pdf_text observed=2026-08-04T17:15:04.143562Z digest=sha256:1f0a53a0d52e472c93f49d6aa4779e930050084903bd91e5d48cb20296ccc018

Observation 7d8b57b4-05c3-40ca-bded-e39d3f56ebab · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Free-MAD: Consensus-Free Multi-Agent Debate DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 53

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source=pdf_text observed=2026-08-04T17:15:04.230916Z digest=sha256:e7a867b2de6d3e5cf1adbe29c54ab06eb9d8c11c1a420184fcd2c590ccd74773

Observation bace9e38-1b77-4a69-89db-f888aac33289 · outbound

This paper cites Humanity's Last Exam.

Free-MAD: Consensus-Free Multi-Agent Debate Humanity's Last Exam

Reference 54

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source=pdf_text observed=2026-08-04T17:15:04.343992Z digest=sha256:3f2b81c9fa7cf9509e261b47354c597c01efe93dba234b461fa0fab570ff65ae

Observation 87301817-4b71-4c3e-878e-649ea5c3258a · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-04T17:15:04.443022Z digest=sha256:90076737128473335b2cb5507e20d0c72124028315669d75cc7aab61b0f5ec87

Observation 9486eea4-89a8-4677-bded-a05d0a6a6072 · outbound

This paper cites You must provide concrete error descriptions rather than general comments.

Free-MAD: Consensus-Free Multi-Agent Debate You must provide concrete error descriptions rather than general comments

Reference 59

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source=pdf_text observed=2026-08-04T17:15:04.531323Z digest=sha256:998c8320779dc560ab7638d30d8aa0b6b4d805386422f0793f79c725f7d644d0

Observation b27a2b6d-7dd2-4a72-8ad8-a0d0ecc7b1b9 · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-04T17:15:04.672345Z digest=sha256:2d91d1fa6889446fe9997c2bd4c0b3f1e1a2dd41f9114d2e31af3722e4ecb070

Observation 548508d0-33dc-42f6-a332-aa2cd943d3c8 · outbound

This paper cites If yes, explain the reasoning errors; if no, justify why your reasoning stands.

Free-MAD: Consensus-Free Multi-Agent Debate If yes, explain the reasoning errors; if no, justify why your reasoning stands

Reference 61

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source=pdf_text observed=2026-08-04T17:15:04.753133Z digest=sha256:b209b80b3817ec7913f2c9067d1c4ce39c6878d59085fee5642c2d33f66df4d1

Observation 6d727d21-306b-4d42-b1ac-b7f23cc16e98 · outbound

This paper cites Majority opinion cannot be used as a basis for adoption.

Free-MAD: Consensus-Free Multi-Agent Debate Majority opinion cannot be used as a basis for adoption

Reference 62

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source=pdf_text observed=2026-08-04T17:15:04.818423Z digest=sha256:ede310357151b181e2d12f5949ddd5313e16a04fd7be618e474741e3b00f6783

Observation 862a465c-bf33-4746-95ac-41bc90ad3938 · outbound

This paper cites - Subtract this difference from Samantha’s current age to find out how many years ago the son was born.

Free-MAD: Consensus-Free Multi-Agent Debate - Subtract this difference from Samantha’s current age to find out how many years ago the son was born

Reference 63

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source=pdf_text observed=2026-08-04T17:15:04.883199Z digest=sha256:798a5f4ac7f95ab06874f9c6b460502305af8446477caeabba7cbfc7dfdf2a6d

Observation 2f863c60-143b-47a1-936b-f6c9ec2f6baf · outbound

This paper cites Their error is in assuming that the son’s age at the time of Samantha’s current age equals zero, which leads to a negative result.

Free-MAD: Consensus-Free Multi-Agent Debate Their error is in assuming that the son’s age at the time of Samantha’s current age equals zero, which leads to a negative result

Reference 64

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no resolver link, observed 2026-08-04T17:15:04.972150Z

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source=pdf_text observed=2026-08-04T17:15:04.972150Z digest=sha256:f7f301a171af9041c20bc05c9c4106c64e004201e3b2531dce466dc3e58810ca

Observation 3a4cfb28-a64b-4465-bf91-15148d6a4e49 · outbound

This paper cites - My reasoning does not contain any errors like the other agents.

Free-MAD: Consensus-Free Multi-Agent Debate - My reasoning does not contain any errors like the other agents

Reference 65

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no resolver link, observed 2026-08-04T17:15:05.059930Z

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source=pdf_text observed=2026-08-04T17:15:05.059930Z digest=sha256:2e631e7968f55cebbf06de7a77812698fe4007497314b0ccbf7e64d458480a5b

Observation f624c0c8-46cd-476b-ad8a-bcd87efc6ec0 · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-04T17:15:05.171132Z digest=sha256:ce6f19d7d79c6c30e433ca9df37442173aa5c2294f4cfdd8e6a9ec6a489fa99d

Observation 7ae5041d-f5a3-410c-a0fa-770d2c724d8b · outbound

This paper cites Final Answer:94858 (the same as Agent 2’s answer) 19 GSM-Level6 Question: After scoring 1213526 points, Erin now has 5700191 times more points than Sara, who scored 9.

Free-MAD: Consensus-Free Multi-Agent Debate Final Answer:94858 (the same as Agent 2’s answer) 19 GSM-Level6 Question: After scoring 1213526 points, Erin now has 5700191 times more points than Sara, who scored 9

Reference 67

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source=pdf_text observed=2026-08-04T17:15:05.281498Z digest=sha256:f5be864fb52336f8fa8226be473b175d7d6e29811147e34b7e0374282614798f

Observation 90e4a5aa-68c5-4c02-a0fa-e4ecd0328654 · outbound

This paper cites To find Erin’s original score, I need to subtract the additional points she gained from her current score.

Free-MAD: Consensus-Free Multi-Agent Debate To find Erin’s original score, I need to subtract the additional points she gained from her current score

Reference 68

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no resolver link, observed 2026-08-04T17:15:05.374425Z

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source=pdf_text observed=2026-08-04T17:15:05.374425Z digest=sha256:13df5c54f594b4df1cd7572c21dac7cb8387827cc236588c999b87a25e652bc7

Observation ecab0979-fa8f-4617-b0c4-a4fa0b73a364 · outbound

This paper cites This is a mathematical error.

Free-MAD: Consensus-Free Multi-Agent Debate This is a mathematical error

Reference 69

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no resolver link, observed 2026-08-04T17:15:05.480655Z

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source=pdf_text observed=2026-08-04T17:15:05.480655Z digest=sha256:10e8edd3c1cff687c60e16ee1bbc5157e7b6f10cf5d4bc1891bd06bb70be15d4

Observation d1bd3eff-2f3d-4a24-b31b-dc3d18cd7306 · outbound

This paper cites I will follow the correct method from the third agent.

Free-MAD: Consensus-Free Multi-Agent Debate I will follow the correct method from the third agent

Reference 70

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T17:15:05.576994Z digest=sha256:5388b2d305092b390e957b33311eaa89a613933713b3011f78e9cff3a4337e56

Observation 66a35c5d-dfb1-42e8-bc3f-9924a76cf5c2 · outbound

This paper cites However, as mentioned earlier, this negative score does not make sense in the context of the problem.

Free-MAD: Consensus-Free Multi-Agent Debate However, as mentioned earlier, this negative score does not make sense in the context of the problem

Reference 71

Resolution
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no resolver link, observed 2026-08-04T17:15:05.674954Z

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source=pdf_text observed=2026-08-04T17:15:05.674954Z digest=sha256:ad6f1f36d85df8a270132824ba1a51b53afa6ebc912e71c4df935830656aa870

Observation a34e59e6-8d3c-43a1-8af3-39785e23dcfc · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 72

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source=pdf_text observed=2026-08-04T17:15:05.782963Z digest=sha256:739515518c5cc00807e1b24b3249f0ea7a1eaaa1fe2f5d086ccedabeb7dc4b3f

Observation a5ffd596-f868-4ed8-a6b8-5b78c3ff4f0c · outbound

This paper cites Since there are 2 factors of 2 and 2 factors of 7, the total number of divisors is(2 + 1)(2 + 1) = 3×3 = 9.

Free-MAD: Consensus-Free Multi-Agent Debate Since there are 2 factors of 2 and 2 factors of 7, the total number of divisors is(2 + 1)(2 + 1) = 3×3 = 9

Reference 73

Resolution
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no resolver link, observed 2026-08-04T17:15:05.898845Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T17:15:05.898845Z digest=sha256:e64ac1d349be68c7b6ed8b34b99de762267cfb833a6ad22789734a6f92ad3b05

Observation a15c68ec-a599-4de4-854b-64480c90b9f6 · outbound

This paper cites They start with 1 and go up to the square root of 196, which is 14.

Free-MAD: Consensus-Free Multi-Agent Debate They start with 1 and go up to the square root of 196, which is 14

Reference 74

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no resolver link, observed 2026-08-04T17:15:05.979462Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T17:15:05.979462Z digest=sha256:203fc97d461a5e08a79ab9fb6d46ffc42f7418ebd6294c470875b5306aa4b7e5

Observation 261728ad-1618-49d8-beaa-e1d907e777a3 · outbound

This paper cites They correctly identify the five divisors mentioned (1, 2, 4, 7, and 14).

Free-MAD: Consensus-Free Multi-Agent Debate They correctly identify the five divisors mentioned (1, 2, 4, 7, and 14)

Reference 75

Resolution
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no resolver link, observed 2026-08-04T17:15:06.035816Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T17:15:06.035816Z digest=sha256:8e605eed500c7dc2f9a5ea1b35399e41a1f94f11709c6fb311ea7bb6e67f1650

Observation 0f02364d-1a53-4bc1-9716-761d4c27e2ca · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-04T17:15:06.119752Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T17:15:06.119752Z digest=sha256:4792b7daa985b88e5d8e14c5725edfcbdf81f6b08619c111eebc3f3a48297fca

Observation 3a628160-ea12-4ca9-a08a-4fb5ede4b334 · outbound

This paper cites - Agent 2 makes a mistake by counting 196 twice but stops after 6 divisors, not realizing that 196 is a repeated divisor.

Free-MAD: Consensus-Free Multi-Agent Debate - Agent 2 makes a mistake by counting 196 twice but stops after 6 divisors, not realizing that 196 is a repeated divisor

Reference 77

Resolution
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no resolver link, observed 2026-08-04T17:15:06.169102Z

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source=pdf_text observed=2026-08-04T17:15:06.169102Z digest=sha256:0847e8ebb9ec44b4f7501e9a9cc2a3f25e47d02a310931824765477a4f596718

Observation 2a5bdb3c-4a68-4886-8b07-a502faedf1a6 · outbound

This paper cites I did not repeat any divisor.

Free-MAD: Consensus-Free Multi-Agent Debate I did not repeat any divisor

Reference 78

Resolution
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no resolver link, observed 2026-08-04T17:15:06.275197Z

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source=pdf_text observed=2026-08-04T17:15:06.275197Z digest=sha256:136a37ee28d3589778be4792cbc1b91a1de46e6d8fa9f4195939dab744e9d40a

Observation a6bb0772-6390-435b-90b2-f4467455ce77 · outbound

This paper cites HQFUBSWHG ZRUG.

Free-MAD: Consensus-Free Multi-Agent Debate HQFUBSWHG ZRUG

Reference 79

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source=pdf_text observed=2026-08-04T17:15:06.325868Z digest=sha256:94f290d991e924819ed4af94ea98148e2389070e6a3170a357dfd5248c7c2462

Observation a74b1d92-5baa-4565-af42-5dcf60b4c36b · outbound

This paper cites HQFUBSWHG ZRUG.

Free-MAD: Consensus-Free Multi-Agent Debate HQFUBSWHG ZRUG

Reference 80

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source=pdf_text observed=2026-08-04T17:15:06.405730Z digest=sha256:2433d291049292bf6ccd0ffd1512d2970d638856288866c83ba9a27d60486286

Observation 7006970c-25b9-43cf-9d77-98bd9b571f78 · outbound

This paper cites ENCRYPTED.

Free-MAD: Consensus-Free Multi-Agent Debate ENCRYPTED

Reference 81

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source=pdf_text observed=2026-08-04T17:15:06.489623Z digest=sha256:3c07de0a43f1246db50afee520654fbce359b203805c56cc0507b5c32a99e876

Observation d111efc8-8ada-4f58-b486-d8051e704ba7 · outbound

This paper cites HQFUBSWHG.

Free-MAD: Consensus-Free Multi-Agent Debate HQFUBSWHG

Reference 82

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no resolver link, observed 2026-08-04T17:15:06.573394Z

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source=pdf_text observed=2026-08-04T17:15:06.573394Z digest=sha256:a9117acbf45ddbf367031e35d558514d59f87cf14682bf7aaa251f5ced09b52f

Observation a07b5822-b3d8-4d84-8b28-b2b0ab4b311d · outbound

This paper cites HQFUBSWHG.

Free-MAD: Consensus-Free Multi-Agent Debate HQFUBSWHG

Reference 83

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source=pdf_text observed=2026-08-04T17:15:06.617841Z digest=sha256:9b6a996784d98afd306c6f9c44cf3ba8fbbae3a4640c3fbde2593c9bf7cd4262

Observation cbe898f2-45ae-40b7-8306-f50b62311feb · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 84

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source=pdf_text observed=2026-08-04T17:15:06.704615Z digest=sha256:bde05a85549cd48024360eae70e72972a909a0ebf9f70795cf21fc63f682ef9c

Observation 3a8c9126-d1a2-4c23-8f75-1c38b5b1b77b · outbound

This paper cites This suggests that it’s unlikely for Albany, Georgia, to reach 100,000 before Albany, New York, without specific data.

Free-MAD: Consensus-Free Multi-Agent Debate This suggests that it’s unlikely for Albany, Georgia, to reach 100,000 before Albany, New York, without specific data

Reference 85

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source=pdf_text observed=2026-08-04T17:15:06.772748Z digest=sha256:bf2a6b1bd303a227beaa1a9db6dca2a1bea8976171b0e598b95254f31568aaf2

Observation 0d7b4413-aa01-4dc4-8484-b76d9b0b09ce · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-04T17:15:06.818570Z digest=sha256:a81b4d5bd6fddea147ea23184dbcd53d7c135538c797d488415b223b013688d4

Observation 3654ec6a-893c-4534-9698-5042b7ea60e2 · outbound

This paper cites Considering all the information, it seems that the second agent’s solution, based on the October 2021 data, provides a concrete basis for answering the question.

Free-MAD: Consensus-Free Multi-Agent Debate Considering all the information, it seems that the second agent’s solution, based on the October 2021 data, provides a concrete basis for answering the question

Reference 87

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source=pdf_text observed=2026-08-04T17:15:06.875467Z digest=sha256:fb3adc200efaf94460e4c6943b4ef719c14f9ba8b8c256ba46341be84234fe26

Observation a9df5cc1-1189-4dbf-abf6-246f0274e521 · outbound

This paper cites unlikely,.

Free-MAD: Consensus-Free Multi-Agent Debate unlikely,

Reference 88

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source=pdf_text observed=2026-08-04T17:15:06.942478Z digest=sha256:448300d531d197369c4c525782ca1a0c2c3711a0ba3b7b406621aad167e47d57

Observation d8f1937e-5e35-4b4a-b8e1-414ba1ad384c · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-04T17:15:06.987442Z digest=sha256:ac7d64c73c4e2276f5082d2d58ddd7147181a2543afe5f7dc1998824addfe9d1

Observation 2f5597af-dcd5-4ac0-8552-c83310c3d93b · outbound

This paper cites I do not find any significant errors in their reasoning.

Free-MAD: Consensus-Free Multi-Agent Debate I do not find any significant errors in their reasoning

Reference 90

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source=pdf_text observed=2026-08-04T17:15:07.082123Z digest=sha256:901ea13d2d2a4393ff987bef3d16544917ed1106a0d20d45089ff26b8a2e59d5

Observation 359425df-a3e6-4984-81f6-3207e4448d50 · outbound

This paper cites The main error in their analysis is the assumption of constant growth rates, which might not accurately represent the complexities of real-world population dynamics.

Free-MAD: Consensus-Free Multi-Agent Debate The main error in their analysis is the assumption of constant growth rates, which might not accurately represent the complexities of real-world population dynamics

Reference 91

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source=pdf_text observed=2026-08-04T17:15:07.219531Z digest=sha256:624d1bb7c6b4b4bd3fa69e203c10abb72b9d71aaaf2a8093ce10b791c0f42b3e

Observation 5092efe7-7a4e-4d37-8d22-0e5f415669d9 · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 112

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source=pdf_text observed=2026-08-04T17:15:02.401314Z digest=sha256:387c4fb997d6ddef03d8c2807475bb0b3577a18cbc3f8e16893187caab51c1b6

Observation eb62ec63-1516-410d-a6b2-a49cad34e102 · outbound

This paper cites an unresolved cited work.

Free-MAD: Consensus-Free Multi-Agent Debate Unresolved cited work

Reference 2024

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source=pdf_text observed=2026-08-04T17:14:59.722709Z digest=sha256:a0c82f0a1462b758b41cc12e5c24ab465e8ceb3f70e420a73540a264ff6c4d3f

Observation a7036e01-6f84-44dd-b6fd-3091b9b0276e · outbound

This paper cites ISBN 979-8-89176-251-0.

Free-MAD: Consensus-Free Multi-Agent Debate ISBN 979-8-89176-251-0

Reference 2025

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no resolver link, observed 2026-08-04T17:15:00.660715Z

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source=pdf_text observed=2026-08-04T17:15:00.660715Z digest=sha256:11844718c90061e5215fc7e502d496bd251d7aa37c1953d91dadbf42f2e3d140

Pith citing papers

Observation 6e9d46b9-64d1-464d-b0a0-075173833642 · inbound

Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.

Toward Efficient Agents: Memory, Tool learning, and Planning Free-MAD: Consensus-Free Multi-Agent Debate

Reference 16

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no resolver link, observed 2026-08-03T09:21:33.800401Z

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source=pdf_text observed=2026-08-03T09:21:33.800401Z digest=sha256:94526a675a684f0717ae93949c9c19dc0dfb323719e466493973b3a51c2fbf65

Observation 37798a7b-150e-4dc2-ab11-f71b230e323f · inbound

Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate cites this paper.

Heterogeneous Consensus-Progressive Reasoning for Efficient Multi-Agent Debate Free-MAD: Consensus-Free Multi-Agent Debate

Reference 32

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verified exact
arxiv_id, observed 2026-05-13T18:53:08.256132Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T18:52:00.129650Z digest=sha256:10585828783ed13303a725210ce45ddcf0ba9b3308bfab2f6f99795fe574b823

Observation 39777817-2e85-4213-83d0-d80cc8ed4d43 · inbound

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators cites this paper.

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators Free-MAD: Consensus-Free Multi-Agent Debate

Reference 8

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verified exact
arxiv_id, observed 2026-05-12T00:56:13.414011Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-12T00:54:36.868103Z digest=sha256:31aa24fe3a4079fff56272934080350879be550f54a9f04cce31d3085401ece1

Observation 4368e966-cf55-4ca7-901d-565154ac7d77 · inbound

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

Not All Flips Are Conformity: Decomposing Stance Convergence in Multi-Agent LLM Debate Free-MAD: Consensus-Free Multi-Agent Debate

Reference 17

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arxiv_id, observed 2026-06-28T19:52:35.913004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-28T18:46:50.409655Z digest=sha256:8c09bfb4832741abe917233a571cc897c2bd2c084b843c1bfc3572c9b3ec5cdd

Observation ee89c6d1-fac3-4a64-a006-6d9aca9f71db · inbound

Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval cites this paper.

Diagnosing and Mitigating Compounding Failures in Agentic Persuasion via Taxonomic Strategy Retrieval Free-MAD: Consensus-Free Multi-Agent Debate

Reference 22

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arxiv_id, observed 2026-07-04T16:59:57.802230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T00:06:27.171190Z digest=sha256:08bac953d5bff51a873af3361540bb38e959f211a5c0f63a7ded8978c2fd2f1a

Observation f6dcacc2-3066-4a80-b7a8-def0820de1f3 · inbound

To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG cites this paper.

To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG Free-MAD: Consensus-Free Multi-Agent Debate

Reference 30

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arxiv_id, observed 2026-07-04T18:40:02.343192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-25T22:44:43.951083Z digest=sha256:c996d1ce68fe1f8b6544a3f86d48101b3e5d3d512c2d09e96c14e6aaea1a019e

Observation 03b95e39-2440-4195-8fb2-85221b982f17 · inbound

Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents cites this paper.

Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents Free-MAD: Consensus-Free Multi-Agent Debate

Reference 10

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source=arxiv_source observed=2026-08-02T00:13:37.670364Z digest=sha256:21c75fa667b8f32638517b1d532fce818c90520ea6ae394bbbe7155149408d43

Observation c11713f2-0088-4c90-97ff-a37103f6d0b6 · inbound

Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate cites this paper.

Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate Free-MAD: Consensus-Free Multi-Agent Debate

Reference 29

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no resolver link, observed 2026-08-15T14:51:00.851788Z

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source=pdf_text observed=2026-08-15T14:51:00.851788Z digest=sha256:a0cf20c9f5c791e896f370661b486e2434b2842c6f05a54223ee88c6ea708e5f

Observation fb357e42-7d71-47eb-b790-20e0e174a54f · inbound

When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Diagnostic for Machine Collectives cites this paper.

When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Diagnostic for Machine Collectives Free-MAD: Consensus-Free Multi-Agent Debate

Reference 4

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no resolver link, observed 2026-08-05T14:09:14.033942Z

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source=pdf_text observed=2026-08-05T14:09:14.033942Z digest=sha256:a478cbc4dce5b095534b395c275e1158ac5b6afbe90e1013fea0491ea5cdf753

Observation dd267ead-5848-44af-8598-17489a3ffce6 · inbound

When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Diagnostic for Machine Collectives cites this paper.

When Outputs Disperse, Does Epistemic Revision Follow? A Black-Box Diagnostic for Machine Collectives Free-MAD: Consensus-Free Multi-Agent Debate

Reference 4

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no resolver link, observed 2026-08-15T14:50:59.456646Z

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source=pdf_text observed=2026-08-15T14:50:59.456646Z digest=sha256:4ef48f3037fd565cb21b433b16d008bfbdad4bc63f22c056974b2fb61e8a49bc