Paper Citation Record · LEDGER

NEWTON: Are Large Language Models Capable of Physical Reasoning?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.07018.

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

pith.paper-citation-record.v1
2310.07018 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:57:42.222260Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T14:06:37.811531Z

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 9aac3cd7-4aeb-4cca-be41-ff96e0e3fae2 · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry NEWTON: Are Large Language Models Capable of Physical Reasoning?

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:06:37.814885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 391ad1ef-0cc6-4028-8fb5-c390d9ee9b1a · inbound

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization cites this paper.

From EduVisBench to EduVisAgent: A Benchmark and Multi-Agent Framework for Reasoning-Driven Pedagogical Visualization NEWTON: Are Large Language Models Capable of Physical Reasoning?

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:57:42.222260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae3560fa-e2b2-468a-8aab-1a7ca3bbf029 · inbound

Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT cites this paper.

Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT NEWTON: Are Large Language Models Capable of Physical Reasoning?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:20.594399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8bc4483-12a0-4d8a-a72d-5781d6c5ea98 · inbound

Teaching Physical Awareness to LLMs through Sounds cites this paper.

Teaching Physical Awareness to LLMs through Sounds NEWTON: Are Large Language Models Capable of Physical Reasoning?

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:46.393182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10931300-0dc7-4a25-9497-ee658af7f1c4 · inbound

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills cites this paper.

RobotSmith: Generative Robotic Tool Design for Acquisition of Complex Manipulation Skills NEWTON: Are Large Language Models Capable of Physical Reasoning?

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:36.374643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.