Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:46:47.252660Z
Paper Citation Record · LEDGER
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 5 inbound Pith citation observations for arXiv:2507.04766.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-02T19:18:43.558804Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T19:27:18.669942Z
Reference resolution
16 of 16 outbound references displayed
- verified exact1
- verified fuzzy2
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 366d4e26-50fd-412b-ae7c-30086fc83dfb · outbound
This paper cites Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Guizilini, and Yue Wang.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Guizilini, and Yue Wang
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:45.993866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8b86f07-ca5b-4d9d-8e89-b2ed5c81c600 · outbound
This paper cites Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics.
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 7013b9e3-3921-4428-939c-f4e2f8f6a8e9 · outbound
This paper cites doi: https://doi.org/ 10.1016/j.neucom.2025.130135.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems doi: https://doi.org/ 10.1016/j.neucom.2025.130135
Reference 6
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-06T19:46:47.891352Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7a4121c9-67c4-4957-b120-e64d8bf63467 · outbound
This paper cites FOLIO: Natural language rea- soning with first-order logic.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems FOLIO: Natural language rea- soning with first-order logic
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:48.334150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 67350f8a-0c2c-48d6-9fa2-dd4b2cf5111d · outbound
This paper cites doi: 10.18653/v1/2024.emnlp-main.1229.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems doi: 10.18653/v1/2024.emnlp-main.1229
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:46.537021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfab19bc-cc6f-43f7-b089-aa3d61d37328 · outbound
This paper cites doi: 10.18653/v1/2024.inlg-main.45.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems doi: 10.18653/v1/2024.inlg-main.45
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:46.747606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b0430dd-2d52-4545-bbce-a5629b15bb01 · outbound
This paper cites Scaling Laws for Fact Memorization of Large Language Models.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Scaling Laws for Fact Memorization of Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:46.924233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c671e83f-dfbe-4f54-879e-20e84ffe51d9 · outbound
This paper cites On Memorization of Large Language Models in Logical Reasoning.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems On Memorization of Large Language Models in Logical Reasoning
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:47.076281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e6973e-1feb-42c8-a658-315215162874 · outbound
This paper cites PuzzleBench: A Fully Dynamic Evaluation Framework for Large Multimodal Models on Puzzle Solving.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems PuzzleBench: A Fully Dynamic Evaluation Framework for Large Multimodal Models on Puzzle Solving
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:47.159833Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9262265c-c4f4-4c98-af63-dab4f8330d40 · outbound
This paper cites an unresolved cited work.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Unresolved cited work
Reference 16
- Resolution
- verified exact
- raw_fallback, observed 2026-08-06T19:46:47.574250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation bc12a3de-5e3b-4c8c-9447-ab0a6ee1263d · outbound
This paper cites PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models
Reference 1949
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:46.994892Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5971dd2-b937-4500-9f91-8ada7c7b0506 · outbound
This paper cites Measuring Massive Multitask Language Understanding.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Measuring Massive Multitask Language Understanding
Reference 2009
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:46.663755Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0acbb38f-5b74-4fb7-b294-337de28fb99f · outbound
This paper cites PHYRE: A New Benchmark for Physical Reasoning.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems PHYRE: A New Benchmark for Physical Reasoning
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:45.813127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18446ae8-3f71-4341-b934-4988a13c8564 · outbound
This paper cites an unresolved cited work.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Unresolved cited work
Reference 2020
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T19:46:48.147555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 15023179-5139-48d3-a2d3-5aa25b6eb74e · outbound
This paper cites Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:46:46.159536Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7dd8d17-15c7-4a1e-8ea9-afe81603cae1 · outbound
This paper cites Have llms advanced enough? a challenging problem solving benchmark for large language models.
ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Have llms advanced enough? a challenging problem solving benchmark for large language models
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:46:48.488531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
Observation 2f406b00-1d5c-4b74-9b81-672ae2b611f1 · inbound
The Serial Scaling Hypothesis cites this paper.
The Serial Scaling Hypothesis ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:12:02.412715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 04f8db6c-c683-4fec-8c61-fa4b0631a96b · inbound
OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization cites this paper.
OmniFysics: Towards Physical Intelligence Evolution via Omni-Modal Signal Processing and Network Optimization ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:10:43.003448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 095c7482-0d13-4dd6-8ba0-4d34e4f0e6bd · inbound
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.
HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T05:25:55.207987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f4d33857-0e27-44f5-b732-8cdc706cd056 · inbound
Fine-Tuning Small Reasoning Models for Quantum Field Theory cites this paper.
Fine-Tuning Small Reasoning Models for Quantum Field Theory ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:31:05.880212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0bd84f15-e67c-4653-b850-3e00f017f2d4 · inbound
Testing Frontier Large Language Models' Physics Literacy in Parallel Physical Worlds cites this paper.
Testing Frontier Large Language Models' Physics Literacy in Parallel Physical Worlds ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T19:27:18.671496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.