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Paper Citation Record · LEDGER

SymbolicGPT: A Generative Transformer Model for Symbolic Regression

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2106.14131.

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

pith.paper-citation-record.v1
2106.14131 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:45.783741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:39:59.936126Z

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 bdf939fb-9206-41b3-aad1-9ef47aecc204 · inbound

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

ChatSR: Multimodal Large Language Models for Scientific Formula Discovery SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:33:39.986893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T00:30:28.026195Z digest=sha256:9717af7ba54f32b155153a40f89608c2569176472b4306d0ceeae5a84df376df

Observation f9d7203d-b21a-4d8f-83a4-b067526db3d9 · 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 SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:53:21.220983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T18:50:40.378720Z digest=sha256:898176fc751ff3caf1bc6080c4463e899272926da36bde13dc019ce634b70529

Observation 1cf2d43c-3d4e-40f2-8698-23afcd2448f4 · 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 SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:45.783741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:45.783741Z digest=sha256:501e717384bafd94e6a749b8eb8abd90d4c265e944ed1d6afbe40b75b940b398

Observation 941820e3-4d1e-4f90-9593-da7cc0c14bdc · inbound

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery cites this paper.

SatelliteFormula: Multi-Modal Symbolic Regression from Remote Sensing Imagery for Physics Discovery SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:13.986202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:13.986202Z digest=sha256:75cb4b8b5a76a8b93690766b20f62536ee4b8740ee6b1302916f928ba0c7442b

Observation 48765094-14f8-41e8-bf10-fb75a4a55279 · inbound

Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing cites this paper.

Symbolic Regression for Shared Expressions: Introducing Partial Parameter Sharing SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T12:11:28.119381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:11:28.119381Z digest=sha256:4ad4dd0e399410a500421daf267046341d4b86313b551fef461458c547b0a1d8

Observation 0cf32895-b9a4-4dc2-ac91-a2005bcd3488 · 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 SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T01:09:55.545312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:09:55.545312Z digest=sha256:0eca54df02404c162099b638038d18bab0548aec10b2603403fd0abc6f641d98

Observation 23b64bfc-953a-47db-8604-102c8d4efc3a · inbound

FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression cites this paper.

FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:52:58.887400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T20:50:12.237932Z digest=sha256:19defbb09db47212307e5643ddaa5e21136f5b35e8c66a667ee9f84abc2d2f32

Observation dd0a8b08-4978-4c6c-bc78-0389d92d6aa7 · inbound

Symbolic Density Estimation for Discrete Distributions cites this paper.

Symbolic Density Estimation for Discrete Distributions SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T08:46:18.355710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T08:44:44.144717Z digest=sha256:6395fe44a1b51c80e5db18eb3b7be851f8c220c1fb06bbf458169f8f62d6e7b8

Observation 325bed74-cbc6-4d91-a48d-3d4b5ef637f2 · inbound

EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification cites this paper.

EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:22.635749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T20:15:18.492669Z digest=sha256:9f26fce970c3a93abf2529b8048ed82f0dea815f5a58a4c9f10aebaa180ac61f

Observation 050eae38-8cef-4895-b369-0dec4e101a62 · inbound

LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search cites this paper.

LLM-ACES: Closed-Loop Discovery of Dynamical Systems with LLM-Guided Adaptive Search SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:39:59.938277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T23:35:16.029635Z digest=sha256:6e22029fee02f30d059090ab3372927501edda6efc06be058ba078c8dcdf95e1

Observation 502918ce-8e11-489d-b153-6068a31a206e · 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 SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-03T04:39:28.625560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:39:28.625560Z digest=sha256:35d3e96ff061279bf6254619911b4ace23a05f2b2f53b9b5fab6f549d8f4c81e

Observation c089c0f9-335d-42e6-8872-d32b3d5c2287 · inbound

Verifier-Guided Model Discovery for Physical Dynamical Systems with Pretrained Symbolic Transformers cites this paper.

Verifier-Guided Model Discovery for Physical Dynamical Systems with Pretrained Symbolic Transformers SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T00:51:00.457718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:51:00.457718Z digest=sha256:d43055c542b89dd4431f507a0fddbdb3049a40f3ce5752d125e346bc52e9cecb