Paper Citation Record · LEDGER

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.18272.

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

pith.paper-citation-record.v1
2402.18272 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:44:11.328347Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.859676Z

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 458f1902-6997-4756-8274-8460113146bf · inbound

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.

The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T23:16:41.798227Z

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.

Observation 41231221-f512-4094-9445-ba04affe8cea · inbound

Mixture-of-Agents Enhances Large Language Model Capabilities cites this paper.

Mixture-of-Agents Enhances Large Language Model Capabilities Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:29:34.507058Z

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.

Observation 68b1c98f-5b57-4f05-ab3f-24d79c1ee675 · inbound

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity cites this paper.

Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T23:44:11.328347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 082b071f-022c-4bc0-b921-ac90b6f3c48f · inbound

Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization cites this paper.

Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:04.654575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e176186f-f702-44c8-b2d7-122c0cb5e6cd · inbound

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:59.191769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f53a9dcf-527c-4883-8b04-0fce2ea92cb5 · inbound

CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language cites this paper.

CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:15:54.079532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd4df22a-99b9-40af-a741-d16d67e5a9dc · inbound

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning cites this paper.

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 117

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T01:01:10.252025Z

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.

Observation bd1bf8a3-3a4b-460c-9550-4b478d18e79d · inbound

CAViAR: Critic-Augmented Video Agentic Reasoning cites this paper.

CAViAR: Critic-Augmented Video Agentic Reasoning Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T21:27:35.715349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28e2b30b-1b00-4659-8344-8857cafcc288 · inbound

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems cites this paper.

ARM: Discovering Agentic Reasoning Modules for Generalizable Multi-Agent Systems Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:50:36.672434Z

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.

Observation 839ff8fb-e660-41fb-b6c1-aaf7f3ecdc85 · inbound

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration cites this paper.

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T00:16:19.173047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 887f10c9-c688-4fef-af1d-bfaccdec357b · inbound

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

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:58:13.259790Z

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.

Observation 0fe631f8-d85d-41c5-9e59-e1e50cf2434c · inbound

AstroVLM: Expert Multi-agent Collaborative Reasoning for Astronomical Imaging Quality Diagnosis cites this paper.

AstroVLM: Expert Multi-agent Collaborative Reasoning for Astronomical Imaging Quality Diagnosis Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:37:04.627955Z

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.

Observation 3e80ac64-4669-4f0a-914b-ddb63e96fab6 · inbound

BashCoder-R1: Towards Robust and Explainable Bash Code Generation with Robustness-Aware Group Relative Policy Optimization cites this paper.

BashCoder-R1: Towards Robust and Explainable Bash Code Generation with Robustness-Aware Group Relative Policy Optimization Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:50.861302Z

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.

Observation 9cb8e795-e8aa-44e4-93dc-4441b813d5cb · inbound

Does Multi-Agent Debate Improve AI Feedback on Research Papers? cites this paper.

Does Multi-Agent Debate Improve AI Feedback on Research Papers? Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-02T01:21:37.407465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6689ac5f-ae4e-4e50-a9aa-099a95ccc684 · inbound

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.

Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Reference 264

Resolution: unresolved; no resolver link, observed 2026-08-03T00:55:39.555616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.