Paper Citation Record · LEDGER

LLM4ED: Large Language Models for Automatic Equation Discovery

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:25.060364Z

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 116030ef-db66-46a0-bc2b-2300b272e331 · inbound

A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems cites this paper.

A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems LLM4ED: Large Language Models for Automatic Equation Discovery

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T21:58:12.029506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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.

Observation f144458a-50dc-4e6d-bc13-418ee59094aa · inbound

DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery cites this paper.

DASyR-LLM: Domain-Aware Symbolic Regression with LLMs for Kinetic Model Discovery LLM4ED: Large Language Models for Automatic Equation Discovery

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:25.060364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.