Paper Citation Record · LEDGER

MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.18321.

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

pith.paper-citation-record.v1
2406.18321 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 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:53:44.190856Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T09:31:11.245049Z

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 ed9b2a01-ae68-458c-8954-79d7f91a31ce · inbound

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models cites this paper.

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T09:09:14.987082Z

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 7ad30265-9d60-4c63-b4f5-cf6d37dc6d16 · inbound

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning cites this paper.

Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T18:53:44.190856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7fd0904-dc6b-4b76-8db5-42c463690aca · inbound

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning cites this paper.

DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:31:04.783711Z

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 56a906de-e837-415a-ad22-feda4c2a15be · inbound

Formally Solving Answer-Construction Problems in Lean cites this paper.

Formally Solving Answer-Construction Problems in Lean MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:07.087152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85168662-f9e7-4518-9638-17d6811c2aac · inbound

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark cites this paper.

ASyMOB: Algebraic Symbolic Mathematical Operations Benchmark MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:07.115767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec30863-86e5-430b-a6f5-ee56bb384d04 · inbound

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models cites this paper.

MMRefine: Unveiling the Obstacles to Robust Refinement in Multimodal Large Language Models MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:39:59.183533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fddc03b-c5a5-45a7-92f0-7713d61c9e47 · inbound

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons cites this paper.

Are Large Language Models Capable of Deep Relational Reasoning? Insights from DeepSeek-R1 and Benchmark Comparisons MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:50.075683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f338992-0680-4ea8-bdcc-575fc8494ce0 · inbound

RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning cites this paper.

RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T21:54:48.175953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0548e15-3c1f-4b27-a8e8-29d3fe291ca8 · inbound

AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? cites this paper.

AInstein: Can LLMs Solve Research Problems From Parametric Memory Alone? MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:31:11.248044Z

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 dc433177-dcfd-4afc-b46a-2cf26dcc0066 · inbound

Riemann-Bench: A Benchmark for Moonshot Mathematics cites this paper.

Riemann-Bench: A Benchmark for Moonshot Mathematics MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:36:00.774854Z

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.