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Paper Citation Record · LEDGER

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.00755.

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

pith.paper-citation-record.v1
2406.00755 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:27.976338Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:13:24.833836Z

Reference resolution

0 of 0 outbound references displayed

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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 14d40029-233f-43c0-99e7-30d1188c3bdf · inbound

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:13:24.840001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T20:10:59.264484Z digest=sha256:dea7a01934449464f3cd45110e296fc29328540fc44ed0e7e700ce6df4be2cc9

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

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents cites this paper.

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.

source=arxiv_source observed=2026-08-12T05:03:20.901409Z digest=sha256:a13d74c5719b01f7de9d22bcf6a3c28f23e885d05f2008b3cc869691d96a3e0b

Observation f9d82ec8-3191-45aa-9882-e06db0d85aed · inbound

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions cites this paper.

Ask-Before-Detection: Identifying and Mitigating Conformity Bias in LLM-Powered Error Detector for Math Word Problem Solutions Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T10:18:50.066198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:18:50.066198Z digest=sha256:f73d7a53a7fe14125af6bd9373db573dbab65f0954170782fe08aef5636fde66

Observation 1046d189-8346-4fb4-b749-640435a8a092 · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.562115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:7a076125a28702d733539a151b5c99205da42ad472ab133531499408a7915c00

Observation 1b945a6d-a71f-40d9-a7c0-fc80f0ffb998 · inbound

Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics cites this paper.

Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for Mathematics Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T10:38:27.976338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:38:27.976338Z digest=sha256:8a165c1b374cc7e8e9b9c8cb23237cb255710349e9d76355d46810be865204a8

Observation 19e1e387-97f8-456e-ae8d-d5cbfca4b2cf · inbound

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability cites this paper.

Can Large Multimodal Models Actively Recognize Faulty Inputs? A Systematic Evaluation Framework of Their Input Scrutiny Ability Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T01:00:27.359993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T01:00:27.359993Z digest=sha256:29d837b4f36f0cb01151ef79e2be98020d462cd653ceac46b668821c348ef2eb

Observation b2cd24cd-3468-4981-a8fe-67bd1517c746 · inbound

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines cites this paper.

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:41:56.076573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T00:38:43.897231Z digest=sha256:ebe496b3a1548246e6ca560d61fffa59542201a87d94610acd2eb6499f5e04f5

Observation bad6704d-28eb-4cf6-8aaf-f795c5f8e440 · inbound

Large Language Models Approach Expert Pedagogical Quality in Math Tutoring but Differ in Instructional and Linguistic Profiles cites this paper.

Large Language Models Approach Expert Pedagogical Quality in Math Tutoring but Differ in Instructional and Linguistic Profiles Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T14:21:13.948592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:21:13.948592Z digest=sha256:3265003bcf4c0bbd3bef15b0099de2515a3776f724c8c3eddbf6a0a25789af5f

Observation bafd7b08-ffc4-4961-93df-d1cb080ba17b · inbound

Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring cites this paper.

Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:51:03.670645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T04:31:53.825854Z digest=sha256:aab28bc65042cc5221f09c760e900603e2c12efdeec4de5c46aa9b2e916b84e3

Observation 74700a4d-3f76-4049-86a3-ba69b156fe7d · inbound

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity cites this paper.

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:09.351495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-08T11:45:54.181019Z digest=sha256:10c15c59c3160f4c5c8405c03846612f0d67d00c3a34c37e7c45a6c2c69a15f7