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Paper Citation Record · LEDGER

LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2504.10415.

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

pith.paper-citation-record.v1
2504.10415 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:45.480612Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:36.959780Z

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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 fd39cf2d-af29-4e67-bfdc-2d737bad795f · 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 LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 17

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no resolver link, observed 2026-08-07T11:05:45.480612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9bfaf9f9-e500-499a-b202-60e3c687bcfd · inbound

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models cites this paper.

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 37

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no resolver link, observed 2026-08-06T21:22:27.205710Z

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Unavailable: canonical work link unavailable.

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Observation 620ae82d-5042-4750-ac0b-3e05743e91b8 · inbound

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics cites this paper.

From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 20

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Observation 25681214-eb43-403a-bcd8-62fee5d81d8b · inbound

HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds cites this paper.

HypoSpace: A Diagnostic Benchmark for Set-Valued Hypothesis Generation under Underdetermination and Sublinear Coverage Bounds LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 12

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ce86284d-e9c0-4327-a6ae-da6441a4621b · inbound

FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs cites this paper.

FEM-Bench: A Structured Scientific Reasoning Benchmark for Evaluating Code-Generating LLMs LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 17

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f2a0680c-6e89-4177-9698-d2c914b677ee · 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 LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c64f3eea-ae49-4a4d-bb68-0201deb38f69 · inbound

LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models cites this paper.

LLM-ODE: Data-driven Discovery of Dynamical Systems with Large Language Models LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 33

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verified exact
arxiv_id, observed 2026-05-15T06:35:09.632707Z

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.

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Observation 2977116d-a2e9-4ef8-adfa-5821a71d87f6 · inbound

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software cites this paper.

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 35

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arxiv_id, observed 2026-05-10T23:10:52.477126Z

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.

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Observation e256016b-c6f5-4f6b-90fd-9737af8df936 · inbound

Evaluation-driven Scaling for Scientific Discovery cites this paper.

Evaluation-driven Scaling for Scientific Discovery LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 116

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arxiv_id, observed 2026-05-11T12:26:08.502346Z

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.

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Observation d681d7e4-ac48-497b-9e38-43064e1ef2aa · inbound

Programmatic Context Augmentation for LLM-based Symbolic Regression cites this paper.

Programmatic Context Augmentation for LLM-based Symbolic Regression LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 60

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arxiv_id, observed 2026-05-09T06:25:48.438287Z

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

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Observation fa8cf0e2-7204-48df-963b-e9eca3a79067 · inbound

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution cites this paper.

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 20

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verified exact
arxiv_id, observed 2026-05-19T16:22:39.527546Z

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.

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Observation 54a2b70e-1a81-4247-9f61-9979977028e0 · 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 LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 2023

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Observation 3d01f7fd-e734-4d22-8ef2-5f8e9632eb8b · inbound

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution cites this paper.

BenchEvolver: Frontier Task Synthesis via Solution-Centric Evolution LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 36

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arxiv_id, observed 2026-07-01T21:36:14.663192Z

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.

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Observation d102aa72-fd3d-40c6-b643-3ca284d61c95 · inbound

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

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 59

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verified exact
arxiv_id, observed 2026-07-02T16:17:09.463005Z

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

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Observation d153313b-6149-4231-99b8-c13d556d29dd · inbound

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

EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 54

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verified exact
arxiv_id, observed 2026-07-02T20:47:22.625538Z

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.

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Observation 13deb129-f338-4b16-90e7-2974ea2bb125 · inbound

Towards Diverse Scientific Hypothesis Search with Large Language Models cites this paper.

Towards Diverse Scientific Hypothesis Search with Large Language Models LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 64

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arxiv_id, observed 2026-07-03T04:07:36.961800Z

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

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Observation 3196ae2a-e9ba-48f9-883f-01c087b353f7 · inbound

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks cites this paper.

Evolution Fine-Tuning: Learning to Discover Across 371 Optimization Tasks LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 5

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arxiv_id, observed 2026-06-30T09:24:32.738358Z

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.

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Observation 81ca987b-38b3-48eb-8cb2-645f62964db6 · inbound

LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data cites this paper.

LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 43

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arxiv_id, observed 2026-07-02T16:17:08.278257Z

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

source=arxiv_source observed=2026-07-02T16:15:45.767727Z digest=sha256:fa7734e939e3fa94a44d41d4b74d610723809ee1dd13f97d17e7ca3bdb0daaf0

Observation 339d3f63-6c2f-4ef2-84a0-00117fabf9cb · inbound

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization cites this paper.

GAE: Graph-Augmented Evolution for Scientific Discovery via Reinforcement Optimization LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 716532a5-f59d-41c1-9832-9701208cb9b1 · inbound

Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System cites this paper.

Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 19

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Observation 681e62bd-4097-4538-b48e-a6e61f9cc532 · inbound

Reference-Free Evaluation of Reasoning in Open-Ended Question Answering cites this paper.

Reference-Free Evaluation of Reasoning in Open-Ended Question Answering LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 47

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Observation e59a2b12-a2fd-4294-9574-5a1e9b43f82d · 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 LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models

Reference 53

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