Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.00755.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T01:00:27.359993Z
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
- 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 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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.
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.
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 2026-08-11T06:34:44.6726+00:00.
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.
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 2026-08-11T06:34:44.6726+00:00.
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 2026-08-11T06:34:44.6726+00:00.