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Paper Citation Record · LEDGER

SymbolicGPT: A Generative Transformer Model for Symbolic Regression

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:25:11.704381Z

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

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0 of 0 outbound references displayed

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External citation measurements

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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Observation 2b76a9fb-b37d-4548-97de-4ae0836798c9 · inbound

Transformer Semantic Genetic Programming for Symbolic Regression cites this paper.

Transformer Semantic Genetic Programming for Symbolic Regression SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 29

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no resolver link, observed 2026-08-09T23:25:11.704381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation deadf2a1-f285-47e2-bd18-9ad77f88dfc8 · inbound

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

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 47

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unresolved
no resolver link, observed 2026-08-07T15:19:41.254282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:41.254282Z digest=sha256:6cb6833698ac235f94c7032439520612ce01b210050cd7330b7e071b3fd8401a

Observation 4f9ba621-fb62-43a6-a994-47146e238f3b · inbound

Diffusion-Based Symbolic Regression cites this paper.

Diffusion-Based Symbolic Regression SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Reference 28

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no resolver link, observed 2026-08-07T12:35:38.173563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.173563Z digest=sha256:4522981dc7ba1a5c8e34e640def0871c69c1ee2c51feeb54ab0583efdaa3c506

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=sha256:0ba96d580cf00c4067036945fb00272db463a9054cf730d40881915f492f9790

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=sha256:8cd0f27ff95c948d014b611f51aa4930ff08ba7529d1ea4e2984c758a84fcc2e

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.

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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.

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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

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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T08:44:44.144717Z digest=sha256:acc2675e49ead916e054c88f9d1204d15a97ffb0e261f0acb6875b19fcba9bd1

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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

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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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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

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Unavailable: canonical work link unavailable.

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