Paper Citation Record · LEDGER

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.00334.

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

pith.paper-citation-record.v1
2502.00334 v4

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 2026-08-07T15:14:54.586721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:27:22.655814Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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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 1d86e2bf-9923-40b9-bd92-36ec51982c3a · inbound

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning cites this paper.

The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:58:33.559240Z

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 d2102773-696d-4bef-a826-ea06e5e147db · inbound

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? cites this paper.

PhyX: Does Your Model Have the "Wits" for Physical Reasoning? UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:14:54.586721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c59c30-0f57-4c2b-9221-927d494fe54b · inbound

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models cites this paper.

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:24.926698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679f2501-00b3-472c-8b26-bbd8d9af52dc · inbound

Superstudent intelligence in thermodynamics cites this paper.

Superstudent intelligence in thermodynamics UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:07.659262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e27bbd99-83e5-4a07-8c94-85830ddf5284 · inbound

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning cites this paper.

DeepPHY: Benchmarking Agentic VLMs on Physical Reasoning UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:27:34.271930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9f2372c-7708-4dcd-8927-268b22404250 · inbound

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI cites this paper.

Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:01:14.002064Z

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 8990da40-1d4b-4f9b-b376-85f45e29373e · inbound

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy cites this paper.

SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T20:36:06.501254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5820b1b-d91c-41dd-aeaf-1d2e857c5cdc · inbound

Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations cites this paper.

Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:41:03.799158Z

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 09c8bd95-5ff1-45b9-981c-eb87a0d262c5 · inbound

Fine-Tuning Small Reasoning Models for Quantum Field Theory cites this paper.

Fine-Tuning Small Reasoning Models for Quantum Field Theory UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:31:06.054360Z

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 847de4d2-6bbe-4c0c-800b-16f2fc34a3f8 · inbound

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? cites this paper.

ChronoPhyBench: Do MLLMs Truly Understand the World or Merely Exploit Language Priors? UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.657341Z

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.