Paper Citation Record · LEDGER

Benchmarking Large Language Models for Math Reasoning Tasks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.10839.

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

pith.paper-citation-record.v1
2408.10839 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:05:03.187958Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:33:35.971242Z

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 f5d12f69-25cc-4900-a383-8c02d634fc85 · inbound

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts cites this paper.

An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts Benchmarking Large Language Models for Math Reasoning Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T17:14:06.591219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7474b217-b984-429b-a102-0ce9b547f260 · inbound

34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery cites this paper.

34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery Benchmarking Large Language Models for Math Reasoning Tasks

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-16T00:05:03.187958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29164d6c-7811-4749-b999-aaf74366e062 · inbound

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains cites this paper.

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains Benchmarking Large Language Models for Math Reasoning Tasks

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:33:36.068998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation aa8ae639-4b41-4c10-be6e-57b6d7b1fa75 · inbound

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials cites this paper.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Benchmarking Large Language Models for Math Reasoning Tasks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:57.077734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 913b81ff-ad3d-4393-9a90-73dccc64e506 · inbound

QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs cites this paper.

QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs Benchmarking Large Language Models for Math Reasoning Tasks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T21:18:03.146717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6036ef5c-4d9f-4230-892a-109d6ee7d315 · inbound

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models cites this paper.

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models Benchmarking Large Language Models for Math Reasoning Tasks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T05:48:49.307485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.