Paper Citation Record · LEDGER

LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2503.06512.

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

pith.paper-citation-record.v1
2503.06512 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:22:22.956783Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:14.254687Z

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 51298dbc-c492-4a51-8376-bb4d517b523d · inbound

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

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:22.956783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 588a7e5c-9489-4e4b-a989-25bf3207ac72 · inbound

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research cites this paper.

Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:16.944703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22d3e5bd-b5d4-4c8c-9cd2-cf0043fa4282 · inbound

AlphaEvolve: A coding agent for scientific and algorithmic discovery cites this paper.

AlphaEvolve: A coding agent for scientific and algorithmic discovery LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:27:24.718252Z

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 dddb4cd0-689e-4c54-b7d6-4c784af809c1 · inbound

Data-driven Discovery of Digital Twins in Biomedical Research cites this paper.

Data-driven Discovery of Digital Twins in Biomedical Research LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 2104

Resolution: unresolved; no resolver link, observed 2026-08-05T14:20:40.294754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6923d859-eb57-42c2-a151-ee7afa11b316 · 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 LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T22:38:22.690645Z

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 35d5c657-e8ed-4847-9e17-7ba7d13c7033 · inbound

From Data to Theory: Autonomous Large Language Model Agents for Materials Science cites this paper.

From Data to Theory: Autonomous Large Language Model Agents for Materials Science LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:43:23.355658Z

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 eccdaad1-7175-4da1-970f-23720b670e16 · inbound

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.256475Z

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 60dca101-0c66-4b31-9181-7b8f594f71eb · inbound

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches cites this paper.

Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches LLM-Feynman: Leveraging Large Language Models for Universal Scientific Formula and Theory Discovery

Reference 274

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:35:34.005069Z

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.