Paper Citation Record · LEDGER

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 6 inbound Pith citation observations for arXiv:2412.00821.

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

pith.paper-citation-record.v1
2412.00821 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:03:21.057802Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:27:46.699355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.399094Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy2
unresolved41
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9df1ff6c-868e-4bae-bf9d-1e2f7894f0ff · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:22.632562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fece93e9-e876-4ce1-891f-78e29d6b6bec · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:22.570900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 69e1c461-b77b-42ea-a86f-4c01778e12b3 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:22.472607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40a0943f-28a6-40e8-b43e-26b1e21f74fc · outbound

This paper cites Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.768320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9243905d-118a-4f06-acc0-ccb33e3ad9c6 · outbound

This paper cites R.; and Satoh, S.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents R.; and Satoh, S

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:22.441077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cbd2024e-198b-4fae-8419-7a67c6948605 · outbound

This paper cites R.; Prasad, K.; Kumar, S.; Verma, A.; et al.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents R.; Prasad, K.; Kumar, S.; Verma, A.; et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T05:03:22.267748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 796015b7-06c2-49ee-b738-eddd4139ca88 · outbound

This paper cites MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T05:03:21.611321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8bbea8cb-e7ef-4f9b-9749-ad0cf06d93d5 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:22.202359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0715d9e3-711e-4e91-b04a-54dfae3e9309 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:22.022834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 763000ad-9172-4bdd-864b-1364bfc24b08 · outbound

This paper cites Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Have LLMs Advanced Enough? A Challenging Problem Solving Benchmark For Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.813238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 183717c5-73fc-4246-bee8-6cb5638d9615 · outbound

This paper cites D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.820449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940e1d67-f1e8-45e8-bb6f-9c46636fe154 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.829666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 855f5ffb-4d67-4e0b-a846-75a4d955c68c · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:21.931070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26a79512-f87f-40ba-bc88-0672b1e58f6c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Training Verifiers to Solve Math Word Problems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.844854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ae446c9-7d83-4c4a-a54a-dcb58d99103a · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.854137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4329282-9de8-4b1c-b2e2-66e5ac35b1c9 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.862318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 010ad6bf-6b77-409d-af0c-8a14eb336026 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.867679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b770d316-db21-4abc-82e1-43aaf14dd1e5 · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.876757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bcf47c-4d7c-4db7-82cf-eb26b045654e · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Measuring Mathematical Problem Solving With the MATH Dataset

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.886301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f72f6b4-9544-4bd4-a4c8-e7418d7593cf · outbound

This paper cites u ttler, H.; Lewis, M.; Yih, W.-t.; Rockt \.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents u ttler, H.; Lewis, M.; Yih, W.-t.; Rockt \

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.893539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af37d7ea-e277-443a-bd23-2df75e360090 · outbound

This paper cites Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.901409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 527b74a1-f65a-4776-9f54-b2d675023a1c · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:21.798231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e21e544-6305-46c7-a62e-bc22840cef31 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.912477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 779f0743-b4c9-4121-8f6e-724bdb006e42 · outbound

This paper cites WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.921420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0962fa9-177b-4c2a-a7dd-481d699c8d43 · outbound

This paper cites SciAgent: Tool-augmented Language Models for Scientific Reasoning.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents SciAgent: Tool-augmented Language Models for Scientific Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.928371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df2e930b-7416-4d3e-ad6d-1f1bda5f6639 · outbound

This paper cites SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.933919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f5a5495-cc33-448d-84ff-78f65f28ffab · outbound

This paper cites Rethinking Language Models as Symbolic Knowledge Graphs.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Rethinking Language Models as Symbolic Knowledge Graphs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.939416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e61ae3d1-8fe5-4590-b3e3-385077ea85f1 · outbound

This paper cites Structured Chemistry Reasoning with Large Language Models.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Structured Chemistry Reasoning with Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.946820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f35be99c-c02f-4a3c-b00b-42614803e6c2 · outbound

This paper cites KILT: a Benchmark for Knowledge Intensive Language Tasks.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents KILT: a Benchmark for Knowledge Intensive Language Tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.953429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e6d011-fe76-4f8b-a857-43c1133fbd7e · outbound

This paper cites Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.962944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c29febc-c4e3-43d4-853a-11ad57be3bcd · outbound

This paper cites SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.972074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37040d1b-b08d-4a88-b003-804af0810375 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:21.755794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c2f48fd1-9040-4493-a0d9-3719b983f1b7 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:21.730745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15fc67bb-952d-4b3c-af7e-bbd227eb7baa · outbound

This paper cites MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.988704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86c2bb24-1b03-483a-9ad8-37eb4ee12849 · outbound

This paper cites V.; Zhou, D.; et al.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents V.; Zhou, D.; et al

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:20.995633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f7be9ea-c88d-4631-b345-d5736c07fde4 · outbound

This paper cites ExpertPrompting: Instructing Large Language Models to be Distinguished Experts.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents ExpertPrompting: Instructing Large Language Models to be Distinguished Experts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.001654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8fe884e-1918-4b02-a78c-9549d8589dfe · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.011093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ebf1d24-747c-4f8a-b6a5-486f50fa157d · outbound

This paper cites Large Language Models as Analogical Reasoners.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Large Language Models as Analogical Reasoners

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.017270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41e543d5-e3fc-460f-915d-df6a9a7c436a · outbound

This paper cites MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.023168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c14d96e-5509-4088-8176-f7f71ca81ef7 · outbound

This paper cites an unresolved cited work.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-12T05:03:21.679992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d6ce0b37-77fb-40c3-88e7-361aa6f2cb33 · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Automatic Chain of Thought Prompting in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.037782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e89f74-884e-4dff-b20c-b78bc5125263 · outbound

This paper cites Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.042575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56dfdb83-8a5e-4542-9d96-e0b7519f9226 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents , " * write output.state after.block = add.period write newline

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.048575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bd9d2e4-5081-41b4-b994-9377f3944307 · outbound

This paper cites write newline.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents write newline

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T05:03:21.057802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e4a5b210-2a38-4a54-8472-617ec9dba0cf · inbound

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models cites this paper.

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T19:27:46.699355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b115fe9-6927-47d7-b7fd-1e858b941830 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.809362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a581a01-6251-4231-94e1-6c6437245e68 · inbound

ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis cites this paper.

ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T07:31:59.857049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bd10cb7-319d-4c58-921a-dce8fe037408 · inbound

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation cites this paper.

You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:08.671413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 93ff822a-65f6-476b-9b93-612f219951b0 · inbound

When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning cites this paper.

When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:50:57.131405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c6494cf-9bb8-4d63-bb9e-1706d1206a7c · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:57:41.403484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.