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Paper Citation Record · LEDGER

Literature Review Of Multi-Agent Debate For Problem-Solving

As of 9 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 6 inbound Pith citation observations for arXiv:2506.00066.

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

pith.paper-citation-record.v1
2506.00066 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:47:37.561024Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T00:32:35.682620Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:57.796508Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0278d9b-41cb-4f05-a006-28a7f11af8a3 · outbound

This paper cites Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System.

Literature Review Of Multi-Agent Debate For Problem-Solving Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:35.300214Z digest=sha256:dd342def82008b70bb746b13fe81e4cb567bf44cc9ee63b41e6378cd7bb02880

Observation e1362e24-f57b-4864-8991-9af55e9224c7 · outbound

This paper cites Deep reinforcement learning from human preferences.

Literature Review Of Multi-Agent Debate For Problem-Solving Deep reinforcement learning from human preferences

Reference 6

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no resolver link, observed 2026-08-07T12:47:35.402105Z

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source=pdf_text observed=2026-08-07T12:47:35.402105Z digest=sha256:38f471c3714bb045f3c9a369012d99cf5296fb95582598d44d23e4c413252e76

Observation 793b21d3-53cc-4efb-83e1-349048471d54 · outbound

This paper cites https://epoch.ai/data- insights/llm-inference-price-trends Accessed: 2025-03-28.

Literature Review Of Multi-Agent Debate For Problem-Solving https://epoch.ai/data- insights/llm-inference-price-trends Accessed: 2025-03-28

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-07T12:47:38.705693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:47:35.543160Z digest=sha256:11ca25aa34173fe94128dea08187945f84982de581e36946ec59c0b2d67e4901

Observation 0f6f8efa-4daa-425c-8378-e24919e8a0b4 · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

Literature Review Of Multi-Agent Debate For Problem-Solving Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 8

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no resolver link, observed 2026-08-07T12:47:35.632224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:35.632224Z digest=sha256:2ff8781ef50db31d8bcfb28562322b624af978b91d9ac11e1d12a1bd1d2c092e

Observation db7f7975-6d2e-4007-a397-dcc1c3c88748 · outbound

This paper cites https://epoch.ai/data/notable-ai-models Accessed: 2024-11-25.

Literature Review Of Multi-Agent Debate For Problem-Solving https://epoch.ai/data/notable-ai-models Accessed: 2024-11-25

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T12:47:38.522002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:47:35.703970Z digest=sha256:3f90cc56ddda4f1082407460ca1bedcbca02b5a7e878a39db036b452b0c52f07

Observation d24d3a58-0779-476b-8b71-a25d96e4093b · outbound

This paper cites Algorithmic progress in computer vision.

Literature Review Of Multi-Agent Debate For Problem-Solving Algorithmic progress in computer vision

Reference 10

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no resolver link, observed 2026-08-07T12:47:35.790774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:35.790774Z digest=sha256:dd4265be5dd28a09bba014b6e578f25185171d7fd89883667b9adde8b1d591f3

Observation 83b0f156-b75d-481a-b848-ea1442e1e07c · outbound

This paper cites FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI.

Literature Review Of Multi-Agent Debate For Problem-Solving FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI

Reference 11

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no resolver link, observed 2026-08-07T12:47:35.915364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:35.915364Z digest=sha256:4a90963c0d7d16d13dd95fa54913b56fe62859a7489fe7215e09cd8316e81fc7

Observation c395ddf6-ed7f-4ae5-90dd-1167552856be · outbound

This paper cites InProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, Kate Larson (Ed.).

Literature Review Of Multi-Agent Debate For Problem-Solving InProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, Kate Larson (Ed.)

Reference 12

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no resolver link, observed 2026-08-07T12:47:36.009445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.009445Z digest=sha256:1aa41e3e2d76d39368cd3a39f66c4938548f7832c6fad711bc085843912c21c5

Observation 5f29d087-5dd1-4867-b04a-618166da0c14 · outbound

This paper cites Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities.

Literature Review Of Multi-Agent Debate For Problem-Solving Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities

Reference 13

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no resolver link, observed 2026-08-07T12:47:36.108560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.108560Z digest=sha256:d444a1517195a48f99183b4eeb5cc26fbcca2e2f0ee5b89ea732dcb04a38268c

Observation 84c0cfe4-1b87-490e-b625-189a8f09b787 · outbound

This paper cites (Mis)Fitting: A Survey of Scaling Laws.

Literature Review Of Multi-Agent Debate For Problem-Solving (Mis)Fitting: A Survey of Scaling Laws

Reference 14

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no resolver link, observed 2026-08-07T12:47:36.211009Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.211009Z digest=sha256:44b650b9c7b651dc924d0427a90de4d359ffb1891016ce01f38eb0183a39fdc0

Observation bf4bd0b2-a8d6-43bf-b38b-481e5276af0d · outbound

This paper cites InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

Literature Review Of Multi-Agent Debate For Problem-Solving InProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Reference 15

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verified exact
doi, observed 2026-08-07T12:47:37.864910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:47:36.330987Z digest=sha256:35eb4bda275e7e69545901545baf665daa6dd75e2bc6c92fd67fc85b58d770b4

Observation 76cfaf3b-49d9-4fa2-8dfb-105a11ec228c · outbound

This paper cites https://doi.org/10.1109/ACCESS.2024.3409051 METR.

Literature Review Of Multi-Agent Debate For Problem-Solving https://doi.org/10.1109/ACCESS.2024.3409051 METR

Reference 16

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raw_fallback, observed 2026-08-07T12:47:38.347566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:47:36.417350Z digest=sha256:56d5bb604371e6a969f894b3173424af073fbd75bb4acb4896f05d73aed64ba9

Observation 37a2f93d-3c16-4f4f-8229-32fc7e91de6f · outbound

This paper cites Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations.

Literature Review Of Multi-Agent Debate For Problem-Solving Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations

Reference 17

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no resolver link, observed 2026-08-07T12:47:36.533719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.533719Z digest=sha256:612d09a1fe98a97acccda3f36ddcf01bc1f1d68dd89eb02d80c37dfc0ab1399d

Observation 112231ab-c7f4-4516-8105-49b2a0f1ac48 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Literature Review Of Multi-Agent Debate For Problem-Solving ChatDev: Communicative Agents for Software Development

Reference 18

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no resolver link, observed 2026-08-07T12:47:36.650184Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.650184Z digest=sha256:b23cdf818dc56cb4f8dfdd2bf937768be2145066b0d1b290be390bdb697f6594

Observation f583efd0-7200-4071-826e-30747f0dce3a · outbound

This paper cites Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs.

Literature Review Of Multi-Agent Debate For Problem-Solving Navigating Complexity: Orchestrated Problem Solving with Multi-Agent LLMs

Reference 19

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.720110Z digest=sha256:d2b018e06377e9258a854e47937888623c6434c72f9e4f6516f70dabe343f485

Observation 3f4882bf-8eb1-41d0-b449-24b302c1d790 · outbound

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

Literature Review Of Multi-Agent Debate For Problem-Solving GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 20

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no resolver link, observed 2026-08-07T12:47:36.807074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.807074Z digest=sha256:b27ff521697dfcce4d2e999acab8f729f686655378c2885130343bfd6baf5569

Observation 61f4b939-b677-4c62-9cc1-b3916cbfed52 · outbound

This paper cites Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding.

Literature Review Of Multi-Agent Debate For Problem-Solving Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

Reference 21

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no resolver link, observed 2026-08-07T12:47:36.951499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.951499Z digest=sha256:e613fdde860703b2b2744a9c9f3b1b07122b7205b4be9f1b14e9bb0ef14a13b6

Observation 78263415-5037-4258-9a54-a8a722dadb87 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

Literature Review Of Multi-Agent Debate For Problem-Solving Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 22

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no resolver link, observed 2026-08-07T12:47:37.014808Z

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source=pdf_text observed=2026-08-07T12:47:37.014808Z digest=sha256:a312479eeb6d2102b77ba4f43195712cdb7d8197a6540501c20f1a0796c706b4

Observation 35f90540-455f-4251-87e3-f0c5f1b75eda · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Literature Review Of Multi-Agent Debate For Problem-Solving Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 23

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no resolver link, observed 2026-08-07T12:47:37.089814Z

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source=pdf_text observed=2026-08-07T12:47:37.089814Z digest=sha256:c28afca47e3e1a60df65ba73e33ddf391bc4209ba66da28e026e05990d135b93

Observation 1bc3a056-2ff9-4d9f-afb9-9f01b5a78a8b · outbound

This paper cites Large Language Models are Diverse Role-Players for Summarization Evaluation.

Literature Review Of Multi-Agent Debate For Problem-Solving Large Language Models are Diverse Role-Players for Summarization Evaluation

Reference 24

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no resolver link, observed 2026-08-07T12:47:37.178344Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:37.178344Z digest=sha256:eb69ffb8ec3cfcb3153a57c2db90782622adca7bcd206014af6925cdc5aaa033

Observation 9f144980-ce78-4470-9192-42c20d6b5f47 · outbound

This paper cites InFindings of the Association for Computational Linguistics: EMNLP 2023, Houda Bouamor, Juan Pino, and Kalika Bali (Eds.).

Literature Review Of Multi-Agent Debate For Problem-Solving InFindings of the Association for Computational Linguistics: EMNLP 2023, Houda Bouamor, Juan Pino, and Kalika Bali (Eds.)

Reference 25

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no resolver link, observed 2026-08-07T12:47:37.301567Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:37.301567Z digest=sha256:63ffe66a9b58ff705ea405f70f7df6176c17b8c7e66de9ec571775a5509533ad

Observation 35a65366-1bca-49f0-9b2a-49b385c5b6d9 · outbound

This paper cites Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration.

Literature Review Of Multi-Agent Debate For Problem-Solving Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 26

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no resolver link, observed 2026-08-07T12:47:37.445428Z

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source=pdf_text observed=2026-08-07T12:47:37.445428Z digest=sha256:e0dfdf52f85f794abbfb29c325afc9795062c32301c3a73a868ae42b62c1591c

Observation 5ae283a9-b754-4edf-8a61-52453796c75a · outbound

This paper cites Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.

Literature Review Of Multi-Agent Debate For Problem-Solving Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Reference 27

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no resolver link, observed 2026-08-07T12:47:37.561024Z

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source=pdf_text observed=2026-08-07T12:47:37.561024Z digest=sha256:6d83374332b1baa324b0362f0e9239630da8e92c61f8fd1a861890938a41c816

Observation cdbd857f-dd86-4ee3-b7f6-6dcc4dadd2a2 · outbound

This paper cites https://doi.org/10.1086/256963 Leopold Aschenbrenner.

Literature Review Of Multi-Agent Debate For Problem-Solving https://doi.org/10.1086/256963 Leopold Aschenbrenner

Reference 1950

Resolution
verified exact
doi, observed 2026-08-07T12:47:38.060800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:47:34.945511Z digest=sha256:310160504db896807f6b69fb2c06736fca29cf657e938bd291b7e00c1c8c220f

Observation 60cbe362-9093-45b1-8fea-93cd2673b356 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Literature Review Of Multi-Agent Debate For Problem-Solving ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T12:47:35.190122Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:35.190122Z digest=sha256:a34f183273669f9805422c172efe6eb1bf1055fadef6d015b7c35458ee7a8f4d

Observation 1b0c0012-5cb4-45c6-987e-c6f374294e71 · outbound

This paper cites https://www.alignmentforum.org/posts/s9zd6f9eZ8qN2jrcu/auto-enhance- developing-a-meta-benchmark-to-measure-llm.

Literature Review Of Multi-Agent Debate For Problem-Solving https://www.alignmentforum.org/posts/s9zd6f9eZ8qN2jrcu/auto-enhance- developing-a-meta-benchmark-to-measure-llm

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-07T12:47:38.928243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T12:47:35.081656Z digest=sha256:2ecfd90a7a653b8ea17f1b666efc9b35cf28161ecbd752b4ae04f70185b8650f

Observation 0ce4d9e2-ed60-40dd-adac-33ccb053691a · outbound

This paper cites Stay Focused: Problem Drift in Multi-Agent Debate.

Literature Review Of Multi-Agent Debate For Problem-Solving Stay Focused: Problem Drift in Multi-Agent Debate

Reference 2025

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unresolved
no resolver link, observed 2026-08-07T12:47:35.008180Z

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source=pdf_text observed=2026-08-07T12:47:35.008180Z digest=sha256:7f1106eea8da316a4b70bbf8f588b592026b0b57f952a483a5408c2855e12be9

Pith citing papers

Observation ba9ba815-398f-484a-9da5-ee7a7c76c3d0 · inbound

Hidden State Poisoning Attacks against Mamba-based Language Models cites this paper.

Hidden State Poisoning Attacks against Mamba-based Language Models Literature Review Of Multi-Agent Debate For Problem-Solving

Reference 19

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verified exact
arxiv_id, observed 2026-05-16T18:18:14.492129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T18:15:05.108462Z digest=sha256:ec83ace29099c411c8e825e34fa09ba3a58af2e0fd978795c1175dcb81425943

Observation ea022939-532d-4da3-a3a8-b4c06a94b5eb · inbound

Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design cites this paper.

Internal vs. External: Comparing Deliberation and Evolution for Multi-Agent Constitutional Design Literature Review Of Multi-Agent Debate For Problem-Solving

Reference 4

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verified exact
arxiv_id, observed 2026-05-12T07:26:31.886893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:51:35.213002Z digest=sha256:e6af9366495a5f646c2b26599a4d6d80f3d3b199d5b124723b161cf27351fc31

Observation 80c27d3c-9ab2-43e0-aa63-e8b70bc68d70 · inbound

A Technical Taxonomy of LLM Agent Communication Protocols cites this paper.

A Technical Taxonomy of LLM Agent Communication Protocols Literature Review Of Multi-Agent Debate For Problem-Solving

Reference 86

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arxiv_id, observed 2026-07-04T03:09:28.805423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T18:34:15.845033Z digest=sha256:9fefe2126f1289a1ab5385e409e1197957dd0cb45855c31c73913d39e6d5fb7f

Observation 90d46c67-f56b-4579-b01f-367b86b48d04 · 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 Literature Review Of Multi-Agent Debate For Problem-Solving

Reference 26

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verified exact
arxiv_id, observed 2026-07-04T16:59:57.798642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T00:06:27.171190Z digest=sha256:62825218bd523050aaa142ca8a94754078c5e2ef5a0e8fe3540d732f78969a49

Observation fd81d6dc-60f2-4677-86a6-6a3abdaf2b76 · inbound

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges cites this paper.

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges Literature Review Of Multi-Agent Debate For Problem-Solving

Reference 116

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no resolver link, observed 2026-08-01T00:32:35.682620Z

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source=pdf_text observed=2026-08-01T00:32:35.682620Z digest=sha256:5d80dfc1514ae19794d9f87d688bc4d81ca2dc9c7af5307486f4a7f9d8e155ad

Observation 466459d4-cfed-4059-9886-418ef4cf9a2d · inbound

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis cites this paper.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Literature Review Of Multi-Agent Debate For Problem-Solving

Reference 37

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no resolver link, observed 2026-07-31T22:43:12.160242Z

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source=pdf_text observed=2026-07-31T22:43:12.160242Z digest=sha256:1811b99211188be83ac502283ac2b82cf7752e0d77fe1fbd43b07a0e90c9b9e6