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Paper Citation Record · LEDGER

Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2111.00053.

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

pith.paper-citation-record.v1
2111.00053 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:40.857956Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:09.453382Z

Reference resolution

0 of 0 outbound references displayed

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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 82de157a-e855-4344-830a-307156116935 · inbound

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery cites this paper.

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:33:40.041651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T00:30:28.026195Z digest=sha256:2a3bdddcc7f488ade783664161296d643185e513417350fd16da9084070d59f6

Observation ef3a3ee8-a4ac-4bca-a23b-0ed98f6b29a9 · inbound

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

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:40.857956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:40.857956Z digest=sha256:f1d7ae12ea2f536b67e49eae1e8a30bc9fe7bd0b4d8135493ab95587e5229dd7

Observation 7a665548-42c2-4021-9f86-a57c5d5e26de · inbound

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience cites this paper.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:45.728437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:45.728437Z digest=sha256:aa195cf23c50807a80edeca161de380ece1b68d2e0aeb4aef9bc7f8926dfef37

Observation 6282e9ea-63c4-4258-b7fd-0b288455e52b · inbound

SymMatika: Structure-Aware Symbolic Discovery cites this paper.

SymMatika: Structure-Aware Symbolic Discovery Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T20:25:37.948087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:25:37.948087Z digest=sha256:fbaa6166daeed28d10738ebd776f681a56e9d530a6bf254c66e9aec86eca76f3

Observation 9b594247-2b6d-42c8-adf2-cfa5100a263e · inbound

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving cites this paper.

A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T20:55:41.168087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:55:41.168087Z digest=sha256:e5be02cd3a982d9e7eebf5e70db16c58b287655a0472d503092e5387acfbb97d

Observation 1fb765e2-dbbd-4c8f-ad9d-defd9981b549 · inbound

SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator cites this paper.

SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-04T07:18:36.633682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:18:36.633682Z digest=sha256:943b40511a36b8e1311aad9c991a6228689e0400bf8e152d035ebfef358c804d

Observation 983d7ea2-6152-408d-b4ab-31a01675fdea · inbound

LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization cites this paper.

LLM-Based Scientific Equation Discovery via Physics-Informed Token-Regularized Policy Optimization Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T01:09:53.596056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:09:53.596056Z digest=sha256:dc325edd5228173f350635d6483c9cc4e713a8d63712fba7c12bb3138ef009e0

Observation 01adc444-a5e7-4f07-ba38-9149990b23f2 · 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 Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:43:23.376259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T22:39:23.431873Z digest=sha256:f300bd2a70d1c057db54a73fe98b68781a46fc5ba569948be2334abe11a73ded

Observation 0b08c34d-fcc5-4be9-a959-de278af6a702 · inbound

Deep Variational Inference Symbolic Regression cites this paper.

Deep Variational Inference Symbolic Regression Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:46:37.036358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T19:18:40.540458Z digest=sha256:7c2ff18f7cc9049869f567b2c60a7b8f267f245c2e5c68931e5695156983c169

Observation 3e7ff97b-5501-4dfc-b10f-3995cfab41ff · inbound

Composition-Weighted Symbolic Regression for General-Purpose Property Prediction cites this paper.

Composition-Weighted Symbolic Regression for General-Purpose Property Prediction Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:05:36.510335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T18:55:01.309563Z digest=sha256:a760ade58ce766926fb0b143e5fb5fc5a34084446755535d3cc190648069d701

Observation bee43b4a-8b96-4b28-aa41-80737e0de737 · inbound

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:36:25.233890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T05:09:01.943710Z digest=sha256:f9d3b58a98741190fb967287d6bc6dc63239f80571fa279a892e404adc8e5541

Observation 59765a17-66f1-41d2-84b0-22f38095c5dc · inbound

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T03:22:10.270527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T03:18:40.151142Z digest=sha256:4283dc9744c18ba3c418d5417d6e6f04f07042297ffd068a2010355df688c589

Observation af5999d9-991d-4954-a7ff-46f24dc2459d · inbound

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing cites this paper.

GESR: A Genetic Programming-Based Symbolic Regression Method with Gene Editing Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T21:22:59.542212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T21:19:33.395236Z digest=sha256:89e84ec725ac16ab47fd57a0fc5311225c6eff100118a6f5eb9a0c1629f856c6

Observation a1d36f89-ac70-4540-b053-db06fb252c25 · inbound

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

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:17:09.454906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T22:49:40.344762Z digest=sha256:6e0652e8898f7d0e558eca0826d8e4dfe0914f7690f9b6a376853deaaea6b789

Observation c18cc411-caab-42b6-9116-93ab72eb08bf · inbound

Attractor Geometry Determines the Identifiability Limits of System Discovery cites this paper.

Attractor Geometry Determines the Identifiability Limits of System Discovery Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T15:24:51.750412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:24:51.750412Z digest=sha256:1fcdb44193ddf8012f04977f8517f42f2eb37812439a3ba3ceb879f57e7c964d

Observation 90d4fdbf-bd21-48ad-8cc2-f3ec20c4a5a6 · inbound

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models cites this paper.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T04:39:27.807296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:39:27.807296Z digest=sha256:eb7aafc1634f3a6a953a2061f8e5b6322f5e2c21b6f8bce9dfd2993c912a67f4