Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2502.15815.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:23.366842Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T11:52:35.453658Z
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 3dddc4e8-a753-4bf4-81d5-ebd47b188d46 · inbound
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.
Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 143
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:40:42.063924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 396fc029-6d63-4220-a6ad-614e4ce1b101 · inbound
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models cites this paper.
PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:22:23.366842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63db7c52-0447-4469-88cb-9777f9718c00 · inbound
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.
A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:48:13.166027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8b86f07-ca5b-4d9d-8e89-b2ed5c81c600 · inbound
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems cites this paper.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:46.076892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 430271c2-24d4-404b-9da5-af296f7c172f · inbound
Towards a Large Physics Benchmark cites this paper.
Towards a Large Physics Benchmark Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:34:57.615874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca4d4c1e-9a8d-4380-8497-dd56f75e14b0 · inbound
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark cites this paper.
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:52:35.456180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6526f796-dbc9-4fe3-b9a6-ecd6d14b5a52 · inbound
Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations cites this paper.
Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:38:22.718357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c0d3fa7b-f839-492c-8264-982beb852189 · inbound
Fine-Tuning Small Reasoning Models for Quantum Field Theory cites this paper.
Fine-Tuning Small Reasoning Models for Quantum Field Theory Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:31:05.662542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5d0548bd-ebb9-4ce2-935d-6480f188c731 · inbound
LLMs with in-context learning for Algorithmic Theoretical Physics cites this paper.
LLMs with in-context learning for Algorithmic Theoretical Physics Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 7
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T08:31:25.675770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dc894c9e-3fa2-4f46-a284-21671c71250c · inbound
DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory cites this paper.
DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 2
- Resolution
- malformed identifier
- no resolver link, observed 2026-07-30T17:40:24.753861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09d7c7ee-922e-4c55-b11b-844ecd45c3a9 · inbound
DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory cites this paper.
DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics
Reference 2
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-03T01:54:49.821286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.