Paper Citation Record · LEDGER

Reinforce LLM Reasoning through Multi-Agent Reflection

As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 3 inbound Pith citation observations for arXiv:2506.08379.

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

pith.paper-citation-record.v1
2506.08379 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:22:07.387448Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:05:24.654803Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T05:05:25.028535Z

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy4
unresolved7
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0efa096b-d473-4a1e-87af-bf49807045c3 · outbound

This paper cites Therefore,A bπ h(sh, ah) = eAbπ h(sh, ah).

Reinforce LLM Reasoning through Multi-Agent Reflection Therefore,A bπ h(sh, ah) = eAbπ h(sh, ah)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:07.636610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 96680339-25da-4c3e-8ee3-c0be6630f002 · outbound

This paper cites We define the approximation error: ∆ =E sh∼dπ⋆ h ,ah∼π⋆(·|sh)[Aˆπ h(sh, ah)− eAˆπ h(sh, ah)].

Reinforce LLM Reasoning through Multi-Agent Reflection We define the approximation error: ∆ =E sh∼dπ⋆ h ,ah∼π⋆(·|sh)[Aˆπ h(sh, ah)− eAˆπ h(sh, ah)]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:07.626156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29f7abc9-e6cb-45a5-b0d2-b9f06bb93792 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Reinforce LLM Reasoning through Multi-Agent Reflection KTO: Model Alignment as Prospect Theoretic Optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:07.342330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8cb2d5-ef93-44b2-81b2-f1841bd337c0 · outbound

This paper cites Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering.

Reinforce LLM Reasoning through Multi-Agent Reflection Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:07.351003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 128492c0-5a34-4de2-9ffd-649a728ba6c9 · outbound

This paper cites Orca-Math: Unlocking the potential of SLMs in Grade School Math.

Reinforce LLM Reasoning through Multi-Agent Reflection Orca-Math: Unlocking the potential of SLMs in Grade School Math

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:07.355124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c17167c2-90f9-431c-b86b-656d2be58f56 · outbound

This paper cites doi: 10.18653/v1/2024.naacl-long.327.

Reinforce LLM Reasoning through Multi-Agent Reflection doi: 10.18653/v1/2024.naacl-long.327

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T05:22:07.418364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04895f0d-918d-435f-bbd9-98701affebb3 · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

Reinforce LLM Reasoning through Multi-Agent Reflection Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:07.366793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b29a631-cbcb-498a-b6c3-87ff39f65aaf · outbound

This paper cites Therefore, Eah∼π⋆(·|sh)[Aˆπ h(sh, ah)]≈E ah∼π⋆(·|sh)[Aπ⋆ h (sh, ah)] = 0, where the last equality follows from the definition ofA π h.

Reinforce LLM Reasoning through Multi-Agent Reflection Therefore, Eah∼π⋆(·|sh)[Aˆπ h(sh, ah)]≈E ah∼π⋆(·|sh)[Aπ⋆ h (sh, ah)] = 0, where the last equality follows from the definition ofA π h

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:07.615127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 24cc874b-469e-4ca7-a8c1-920f6ffd2753 · outbound

This paper cites We then conduct DPO training on the critic, producing a refined critic modelbπc.

Reinforce LLM Reasoning through Multi-Agent Reflection We then conduct DPO training on the critic, producing a refined critic modelbπc

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:07.603927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 030ab3c0-e20e-45e7-acd2-6ac2a409e09c · outbound

This paper cites an unresolved cited work.

Reinforce LLM Reasoning through Multi-Agent Reflection Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:22:07.592010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ace3744-985c-44d5-9248-4b73b41540d4 · outbound

This paper cites Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, and Mohit Bansal.

Reinforce LLM Reasoning through Multi-Agent Reflection Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, and Mohit Bansal

Reference 862

Resolution: malformed identifier; no resolver link, observed 2026-08-07T05:22:07.338683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a7ec8d-1f7a-4786-babf-f21180eb9c63 · outbound

This paper cites A General Theoretical Paradigm to Understand Learning from Human Preferences.

Reinforce LLM Reasoning through Multi-Agent Reflection A General Theoretical Paradigm to Understand Learning from Human Preferences

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:07.333606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19fe975d-edb7-42b7-bf65-921f342a7812 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Reinforce LLM Reasoning through Multi-Agent Reflection ORPO: Monolithic Preference Optimization without Reference Model

Reference 2024

Resolution: malformed identifier; no resolver link, observed 2026-08-07T05:22:07.346376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac843756-05ec-483a-b8e2-b6f5c403f49c · outbound

This paper cites CodeAgent: Autonomous Communicative Agents for Code Review.

Reinforce LLM Reasoning through Multi-Agent Reflection CodeAgent: Autonomous Communicative Agents for Code Review

Reference 3021

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:07.362906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 955d0567-4898-445d-a39e-c52286bacebd · inbound

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving cites this paper.

Intern-S1-MO: Long-horizon Reasoning Agent for Olympiad?Level Mathematical Problem Solving Reinforce LLM Reasoning through Multi-Agent Reflection

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T06:40:27.178080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dbf8087-3485-4e26-9fd2-531ae83c4e6d · inbound

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning cites this paper.

Precise but Uncoupled: Reviewer Precision Does Not Guarantee Critique Uptake in Multi-Agent Math Reasoning Reinforce LLM Reasoning through Multi-Agent Reflection

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T23:34:09.797820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c346b48-8005-4431-adde-304cc1ceb99b · inbound

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning cites this paper.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Reinforce LLM Reasoning through Multi-Agent Reflection

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T05:05:25.034076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.