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Paper Citation Record · LEDGER

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2404.17729.

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

pith.paper-citation-record.v1
2404.17729 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:19:57.455125Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:20:45.244355Z

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 68de1d83-c9a1-4c5d-a301-fe9e3a74be8b · inbound

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents cites this paper.

Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T22:54:57.986757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:54:57.986757Z digest=sha256:3c9b55688c2eb633aa38ed3ccbf798a8e4f91ee3c492cc7b8cf5233e5f663070

Observation fcd36cf1-bcf0-4344-9ac7-febf8bfe5b36 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 231

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:57:38.181661Z

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=2026-05-15T02:57:37.873567Z digest=sha256:66a7ad5f08aee8097917ed532cb4ae835edf8cc602801efa88b1d0caaa33c4aa

Observation e2b55c18-f68d-42c8-938c-7422a8dfb35f · inbound

Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition cites this paper.

Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T05:19:57.455125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:19:57.455125Z digest=sha256:4c591a9f7aa09c319244525ceda536a643d7e96da4985e90809b5d8314ad382e

Observation 8a1ef6dc-b383-42ac-b0f4-7c6b6473adf2 · inbound

Learning from Peers in Reasoning Models cites this paper.

Learning from Peers in Reasoning Models CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T22:13:08.084222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:13:08.084222Z digest=sha256:8753ec714ff3b3110bd227f628f9496c43fe1df4f44bf7642a5cf0a6fc16c239

Observation 17686084-d0c8-4f0f-8698-aa42d65761a6 · inbound

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System cites this paper.

Synergizing Logical Reasoning, Knowledge Management and Collaboration in Multi-Agent LLM System CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:39:03.520810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:39:03.520810Z digest=sha256:573eed0e90366825f4768c71ab2bae5088de971a95e92c8647b4298f147a4710

Observation 4050ee06-45e8-47b5-aabf-d10a945d5622 · inbound

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra cites this paper.

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:20:45.246628Z

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=2026-05-21T23:16:08.658251Z digest=sha256:a478b9f3a016623d527f2b398dc1598ed2bb3df6cb231d87f44d4deb54ee6033

Observation f1f768a8-413d-4941-a3bb-646a8a8f3102 · inbound

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration cites this paper.

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:58:13.250575Z

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=2026-05-10T08:53:03.420926Z digest=sha256:5090ec795ee4040421e8936fe0ce1f32367fd5bba50f78969790b941a71653e4

Observation 5c89e07e-0617-4bff-91e4-89216b05759d · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:55.954441Z

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=2026-05-11T01:19:42.892343Z digest=sha256:5a4206e76930481f29cd4fee57cc0f3e28705f3f9c80bf32d23ca61c10449b4a