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Paper Citation Record · LEDGER

Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.13791.

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

pith.paper-citation-record.v1
2412.13791 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:27:46.792432Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:31:05.677359Z

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 e47ff683-e1e8-40ab-ac28-2c36bd32ff9e · 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 Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T19:27:46.792432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:27:46.792432Z digest=sha256:1a22b8f469b3ad314cdc4d4af7d96ae150a4603dd21a340799263a6c7fe2e43e

Observation 9286d103-bc29-4828-9af2-1a705d815278 · inbound

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities cites this paper.

A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:24:51.006055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:24:51.006055Z digest=sha256:9c47342b30f906d99f8f683eebf5c4286ae1fd4bf16e8e28e29ad0f49e60a284

Observation eb0337bd-dcdb-4eaf-a702-6ef4e2f357a8 · inbound

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

Fine-Tuning Small Reasoning Models for Quantum Field Theory Physics Reasoner: Knowledge-Augmented Reasoning for Solving Physics Problems with Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:31:05.680608Z

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.

source=pdf_text observed=2026-05-10T03:23:18.770963Z digest=sha256:90355c3824a9baa2402a6130f502c0cafb4afe5fda47369118305ff3b3f412c2