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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:20:40.294754Z

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 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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T21:27:23.987121Z digest=sha256:3f7bdb2636c52c4743028900b4806122a580b5ef2fd87d7ae3babefe1f7b29f4

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.

source=pdf_text observed=2026-08-05T14:20:40.294754Z digest=sha256:d9205ed3065e23313e7e6f30cece98cade7b5fd9780bed29bfac36aa209e2dde

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T22:33:21.677835Z digest=sha256:a83ed37128216b9d68c7995c7298f4aa25d572655e66dbb1c656d78418090176

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T22:39:23.431873Z digest=sha256:1b17147bdeec66b175e4dab828a28741cd718071c8e7226f0542c420a3173e54

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T17:35:01.285534Z digest=sha256:64c5fd3d763d30519ce37b9dea29891497b93845596edd93c25edeefa2204083

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-01T07:22:25.349398Z digest=sha256:48d7d2f74facf574ad652009de387475065cc8f770c6a901cfeb1bc62b21e2e2