Pith. sign in

Paper Citation Record · LEDGER

LLM4ED: Large Language Models for Automatic Equation Discovery

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.07761.

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

pith.paper-citation-record.v1
2405.07761 v2

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:22:49.470706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:09.458950Z

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 8644157f-a3ca-4f7b-b2f9-39dc53e121d3 · inbound

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem cites this paper.

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem LLM4ED: Large Language Models for Automatic Equation Discovery

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:49.470706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:22:49.470706Z digest=sha256:c3243edd0c33a0c9acffa8a77875e2bade3cbc7ef77547f952470bfec5ae2302

Observation 27463c03-649d-4dca-b2fc-5f38b1750d9f · inbound

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs cites this paper.

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs LLM4ED: Large Language Models for Automatic Equation Discovery

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:09.460389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:49:40.344762Z digest=sha256:95640e335b6bea02d1bf7106e00c6c798ce332fb77e9bb5b4fab5faf5199fe19

Observation 83c37993-6256-4332-a626-9b4b6bb754ba · inbound

Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization cites this paper.

Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization LLM4ED: Large Language Models for Automatic Equation Discovery

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:35:34.262520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T07:19:48.381084Z digest=sha256:fff6ab1209e51698e2f0cbfaedcc55177342d8cefe0e68c12356c36e4d3ae3ea

Observation 3872a3e8-bf29-44e9-8bbe-c3251fd41734 · inbound

LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data cites this paper.

LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data LLM4ED: Large Language Models for Automatic Equation Discovery

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:17:08.297104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T16:15:45.767727Z digest=sha256:4371219c1ae567b8b9cafb2e09a11821523bf5dad08b28a6908021378f414c55

Observation 688a5ed4-f226-4236-9d76-045dcf29d938 · inbound

Large language models for partial differential equation workflows cites this paper.

Large language models for partial differential equation workflows LLM4ED: Large Language Models for Automatic Equation Discovery

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:47.984276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:18:47.984276Z digest=sha256:fb8c1605fa73b42f5a05ae4612c581b740d7a60f82da034ef079852611207175