Paper Citation Record · LEDGER

Deep Generative Symbolic Regression

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.00282.

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

pith.paper-citation-record.v1
2401.00282 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 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:58:57.807862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:46:42.646010Z

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 a07c9b5a-df51-42d1-8201-d740dd8aa0c7 · inbound

1D Kinetic Energy Density Functionals learned with Symbolic Regression cites this paper.

1D Kinetic Energy Density Functionals learned with Symbolic Regression Deep Generative Symbolic Regression

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T18:14:18.622320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1ead65f-f192-4501-8073-896b80f88026 · inbound

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback cites this paper.

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Deep Generative Symbolic Regression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:39.659141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d946273f-3f4b-41a2-8653-b2dcddb9ae3e · inbound

Data-Efficient Symbolic Regression via Foundation Model Distillation cites this paper.

Data-Efficient Symbolic Regression via Foundation Model Distillation Deep Generative Symbolic Regression

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T16:58:57.807862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15ae00c6-74c7-4dd2-9c6a-52802cb5c930 · inbound

Symbolic recovery of PDEs from measurement data cites this paper.

Symbolic recovery of PDEs from measurement data Deep Generative Symbolic Regression

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:46:42.649557Z

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 91d476ab-42e3-478b-98a1-49bad522411d · inbound

Deep Variational Inference Symbolic Regression cites this paper.

Deep Variational Inference Symbolic Regression Deep Generative Symbolic Regression

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:46:36.766418Z

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.