Paper Citation Record · LEDGER

An Approach to Symbolic Regression Using Feyn

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.05417.

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

pith.paper-citation-record.v1
2104.05417 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:41:06.601222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:45:19.896668Z

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 9f941d9c-82a2-44a4-8fe5-d0afdcc31bd9 · inbound

(Exhaustive) Symbolic Regression and model selection by minimum description length cites this paper.

(Exhaustive) Symbolic Regression and model selection by minimum description length An Approach to Symbolic Regression Using Feyn

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:06.601222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1b3c21-1447-4338-875e-68f07e9fb9c4 · inbound

Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests cites this paper.

Probabilistic Symbolic Regression for Equation Discovery via Operator-induced and Regularized Symbolic Forests An Approach to Symbolic Regression Using Feyn

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T15:38:31.978584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92bb1f10-f10e-4373-b801-ede746da251a · inbound

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees cites this paper.

VaSST: Variational Inference for Symbolic Regression using Soft Symbolic Trees An Approach to Symbolic Regression Using Feyn

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T20:21:31.921709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45192254-b323-43ec-90ff-f66afdd9ac7e · inbound

Symbolic Classification-Enabled LHC Limits Online BSM Global Fits cites this paper.

Symbolic Classification-Enabled LHC Limits Online BSM Global Fits An Approach to Symbolic Regression Using Feyn

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T05:04:37.130360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6075ff1e-6135-4fb3-b9a8-6eec5c675155 · inbound

When Good Equations Get Bad Scores: Improving Symbolic Regression Through Better Parameter Optimization cites this paper.

When Good Equations Get Bad Scores: Improving Symbolic Regression Through Better Parameter Optimization An Approach to Symbolic Regression Using Feyn

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:19.900731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.