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Paper Citation Record · LEDGER

Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.08152.

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

pith.paper-citation-record.v1
2311.08152 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:33:37.700576Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:40:51.233674Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a3eb20da-96ed-4ed7-b6f9-b47c26889c62 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 270

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:35.807975Z

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=2026-05-11T23:08:34.312466Z digest=sha256:55898ca18aa053d625dc6d8a332cf794ff9b3090ba6be40e3da6f933c0d0b7a6

Observation 44286cbf-7b48-425b-8605-7c5473ceef34 · inbound

Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.

Multi-Agent Collaboration Mechanisms: A Survey of LLMs Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-05-13T15:54:54.425125Z

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=2026-05-13T15:54:54.146003Z digest=sha256:b803cd0f8f7a13d690cb5b47b40f99534f739a5cf6085660325c782d312bee46

Observation 9805cc1e-2b56-4ebf-9746-64e5998a7c05 · inbound

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency cites this paper.

S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T21:33:37.700576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:33:37.700576Z digest=sha256:c1543c7c63a9365d43228f6ea647f2d89360292e80c470e102bb333757c39610

Observation 1c9cb407-270c-4f22-8b86-125102fb6029 · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.623989Z

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=2026-05-12T05:42:57.561468Z digest=sha256:97543927e0c388dbb937e0068d812166a4f6e65afc2fdb54f4539df10745ce23

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

Literature Review Of Multi-Agent Debate For Problem-Solving cites this paper.

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

Reference 26

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation 3db3c0ed-5432-4ca0-9d59-b8628436a37f · inbound

ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development cites this paper.

ComfyUI-Copilot: An Intelligent Assistant for Automated Workflow Development Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:32:36.109854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:32:36.109854Z digest=sha256:f034afd63eeeecb9938e0d95f10f1c16eab395d1e7f14d02c5873a65a27abeed

Observation cd682e7e-f1bf-4145-8ac1-b56b70038a5c · inbound

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate cites this paper.

CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T20:11:10.777604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:11:10.777604Z digest=sha256:fa119ee5bffe2ab8461090561d9e606af80cd68c2e2aafcc0b382d4cf3484e65

Observation dbb4d23a-0d3c-4344-a6a2-1f9b9f114f2e · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 141

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.236494Z

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=2026-05-22T00:37:11.945418Z digest=sha256:da91640fadb811269b60209b7f0faa1e734ca1b41a2b29309c9e8d768bb94c27

Observation 4199801b-c2ec-4d4f-8335-7fc9012f2df9 · inbound

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

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-01T00:32:38.103710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:32:38.103710Z digest=sha256:0176d2ec5e639b9d40c608bacd91e7ca5d766e473b65b255aa02347ae586d964