Paper Citation Record · LEDGER

Deep Symbolic Regression for Recurrent Sequences

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2201.04600.

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

pith.paper-citation-record.v1
2201.04600 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 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:34:01.449427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:53:21.124496Z

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 e9380361-ba7e-4d77-a043-d1f9a938d722 · inbound

In Context Learning and Reasoning for Symbolic Regression with Large Language Models cites this paper.

In Context Learning and Reasoning for Symbolic Regression with Large Language Models Deep Symbolic Regression for Recurrent Sequences

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:53:21.127831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation eee08b7d-9c52-410c-8e91-969634abca38 · inbound

Decoding-based Regression cites this paper.

Decoding-based Regression Deep Symbolic Regression for Recurrent Sequences

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T20:34:01.449427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f24ae0f-5ce9-473a-b458-f94e50064d2e · inbound

Position: The Future of Bayesian Prediction Is Prior-Fitted cites this paper.

Position: The Future of Bayesian Prediction Is Prior-Fitted Deep Symbolic Regression for Recurrent Sequences

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.695132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91cbffc-9691-4059-bc45-a1a669089cfc · inbound

On Forgetting and Stability of Score-based Generative models cites this paper.

On Forgetting and Stability of Score-based Generative models Deep Symbolic Regression for Recurrent Sequences

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T06:52:09.336785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6072d168-5e27-46a7-ae56-0b62b153aefa · inbound

Neuro-Symbolic ODE Discovery with Latent Grammar Flow cites this paper.

Neuro-Symbolic ODE Discovery with Latent Grammar Flow Deep Symbolic Regression for Recurrent Sequences

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:48:02.486794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 80b9345b-5ee5-43e3-9433-29220248483c · inbound

Neuro-Symbolic ODE Discovery with Latent Grammar Flow cites this paper.

Neuro-Symbolic ODE Discovery with Latent Grammar Flow Deep Symbolic Regression for Recurrent Sequences

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-15T12:27:15.229823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9093754e-0cc3-44e6-bb1a-03df2fe7b9b5 · 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 Deep Symbolic Regression for Recurrent Sequences

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:43:23.366385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.