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Paper Citation Record · LEDGER

Literature Review Of Multi-Agent Debate For Problem-Solving

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:5a747e453416c9097d07f48b38eb361a31fa908c3044486360559476bb9eb470

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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source=pdf_text observed=2026-08-07T12:47:35.402105Z digest=sha256:d63cc4a4a17757ea3903736b07f96b4f555f2fa908d4e284294b882135005272

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:47:35.543160Z digest=sha256:580bd6bd60fc391368e6030f07df6bbc3f9bb9f771184257e34b6580e433ef02

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=sha256:61d5fc53561949e9f1f64b3c85051860f4ce06ccc234f6ec61c9da2976e571c6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:47:35.703970Z digest=sha256:02c004005db957276110c82578161febbc6aea9a9a457c1c9461ecbb3bb9e6d7

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:f9299ef46e6cc2622bc793c028ab8ba55454a4f2bbba88b11030916ba60e5491

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:35.915364Z digest=sha256:d8294e42643ecac002cf782e6cdfd7bc1654dcefdc143a9f5251a16c62c293df

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:ea7b5d82b18c7de49836fccad47c4ee4ee1f389cff1d925876c197b291de2db2

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:b0b4d725f15abfef58e480024fdef3ba94cecca6d35d016670ffef892d6cb19d

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=sha256:44005ab62b3e0964fa215bf5f5e924adf33b695c9121c2e3428adb0070e58753

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:47:36.330987Z digest=sha256:11480ce32c6dd085372f49607400db74a6b928f12a68a5ff5f5bac6466b29184

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:47:36.417350Z digest=sha256:d200013f7e832b54a3e020ad741693a6eab65c7d921a31c03e557af4c7d03233

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:c90c581c3a244f0d1321861f6878757d11be9feeba8acad0d960d6c40f9fbb59

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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source=pdf_text observed=2026-08-07T12:47:36.650184Z digest=sha256:1be01aa8db1011aa66b4fc73e315e59314c1fc1eabcfb5a372077351870723f3

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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source=pdf_text observed=2026-08-07T12:47:36.720110Z digest=sha256:3e84803e8bbba97ab0f3a5027b46468ccb7618c1d0c83f5ff23c379ef404c993

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:d5424d9a159120dd65a92c62815611f8ab5363a62e6312518ecc7bad38525873

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:47:36.951499Z digest=sha256:59ca60aad3de10178e3bc354e61862b7285dbac047677c938e249b66ee9de65d

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:fb7c09d032b72347c1fe13fc80c3d3a4ea127777376d72309a205523d55f28e6

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=sha256:7d391b21b876b12aa95321376131cd19dc352258fd9064375cb5dec8aa921319

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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source=pdf_text observed=2026-08-07T12:47:37.178344Z digest=sha256:518f071af3ca5f0461bea0d495e1e177622fc4426f86e02d334766560fc75ba5

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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source=pdf_text observed=2026-08-07T12:47:37.301567Z digest=sha256:48bed12ebc6b55a85eb40d2e0e5b4cb1c7b1ff325dd32138e1c6a095ae606300

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:d61c0da0f888aac5fc2eac8e2351f126f6473be1b97ffcf038df3184034802fe

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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source=pdf_text observed=2026-08-07T12:47:37.561024Z digest=sha256:abb0e678ae73d92888cb3c09867a70612462703de3ccc29168dfb10f78114868

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:47:34.945511Z digest=sha256:6d7e0126a2939e2d95d2d345ef7f5044a1116f6f7d8ab0361406c58c51fb3e36

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

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source=pdf_text observed=2026-08-07T12:47:35.190122Z digest=sha256:faafb3edcfa38edaaea4dbc001318a758eeb05f04d8795a749efe063d6cde201

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T12:47:35.081656Z digest=sha256:16bed03567ae3227461bcea84442150b70e0ae55fb888ad85efccc8a33103700

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=sha256:55155d49575b64cfff3c84f1a074b56d0f48b7211fee548bdf24d3264ad99b15

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T18:15:05.108462Z digest=sha256:52527aba3e4376c3cc2b29f81ea6d603d4677ec4a1318b1165127bdb49490245

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-12T02:51:35.213002Z digest=sha256:b7005bb75b91a27428c13b01aefbfebfbd2de58f5693da4a8fc4e0a0ca80c72c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T18:34:15.845033Z digest=sha256:2102f2b778aa4254ef6dc31938e97c946aa1cdfa23345551d7abef5af8c7acd4

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

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T00:06:27.171190Z digest=sha256:5b03d95f97950c608f8d5c6d4aa66c52a0cc86912029b8e30c210a1faabcbbb8

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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source=pdf_text observed=2026-08-01T00:32:35.682620Z digest=sha256:1c616687737e6882a24b1637450d8f20e3bdbec9e444c0b5b65561970957b46d

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=sha256:7b8c7ba1a943172beb5d9bac5cafb4744aa4f3926e9a4b54ab5d93cf6fc14dab