Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.08182.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T19:27:46.635709Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T23:43:33.113094Z
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 bc56c321-453b-4d2c-b24e-2ee01975d820 · 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 Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:27:46.635709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b4783e0-6f33-4c67-a1ba-a05baec08497 · inbound
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models cites this paper.
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:22:24.850334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77329f82-331d-468b-864f-9663fd34906b · inbound
xInv: Explainable Optimization of Inverse Problems cites this paper.
xInv: Explainable Optimization of Inverse Problems Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:59:31.073600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fa5a703-6e4b-4869-87e0-dfea0882d694 · inbound
Use of a genetic algorithm to find solutions to introductory physics problems cites this paper.
Use of a genetic algorithm to find solutions to introductory physics problems Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T23:43:33.200296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ab0c4bd2-a710-44fb-9714-d8c7094d9da5 · inbound
Logic-Guided Socially-aware Robot Navigation World Model cites this paper.
Logic-Guided Socially-aware Robot Navigation World Model Using Large Language Model to Solve and Explain Physics Word Problems Approaching Human Level
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T07:54:09.669751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.