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Paper Citation Record · LEDGER

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 54 inbound Pith citation observations for arXiv:2404.18400.

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

pith.paper-citation-record.v1
2404.18400 v3

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measured 0 of 0 reference resolution

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measured 54 of 54 standing notices

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

measured 54 of 54 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:02:19.378304Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f35433b-b979-4ad1-bad0-1423d6f6029c · 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 LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 37

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arxiv_id, observed 2026-05-23T18:53:21.226094Z

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

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Observation 885e0381-666e-484c-b7db-d0e23d8974fd · inbound

AIGS: Generating Science from AI-Powered Automated Falsification cites this paper.

AIGS: Generating Science from AI-Powered Automated Falsification LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 79

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Observation 2e2c5bc0-a7b8-4a0e-b6bf-2dc881f02423 · inbound

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges cites this paper.

Towards Scientific Discovery with Generative AI: Progress, Opportunities, and Challenges LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 64

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Observation ef237406-fa20-4bfb-b836-70eb51606fd1 · inbound

Discover physical concepts and equations with machine learning cites this paper.

Discover physical concepts and equations with machine learning LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 58

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Observation 4a854fc0-ead9-4283-b84e-55af277cb7de · inbound

AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks cites this paper.

AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 29

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Observation d5a0b773-a6f7-4620-bcb0-6c00ee565969 · inbound

On the Role of Model Prior in Real-World Inductive Reasoning cites this paper.

On the Role of Model Prior in Real-World Inductive Reasoning LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 19

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Observation 38bf1f2e-1054-4ba8-afed-796cbade0481 · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 145

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Observation 6f6a3525-6a5c-48f2-84cd-8cadd09b1eea · inbound

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models cites this paper.

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 132

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arxiv_id, observed 2026-05-15T21:20:59.269537Z

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

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Observation 4ebce4d9-5a81-493e-b129-a7953f5893f4 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 169

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arxiv_id, observed 2026-05-23T04:32:32.769882Z

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

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Observation ef58340c-f95b-462c-b5f1-89e9c00a031d · inbound

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery cites this paper.

DiSciPLE: Learning Interpretable Programs for Scientific Visual Discovery LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 35

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Observation b864ffcb-4d5d-4e69-b8af-5be7a018671c · inbound

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers cites this paper.

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 36

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

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Observation 816c6a57-fd57-4468-bd45-8dba583a1448 · inbound

Programmatic Video Prediction Using Large Language Models cites this paper.

Programmatic Video Prediction Using Large Language Models LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 14

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Observation 0b393a8a-fcd1-4bbb-8438-390f1d3f401a · inbound

Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery cites this paper.

Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 71

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Observation 0e7d5fea-6140-40d0-9f66-44aae2f38c47 · inbound

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models cites this paper.

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 2025

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Observation 20970ee5-a923-4e85-a68c-2afb87fa8c92 · 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-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 13

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Observation 33d12c52-6780-4edc-ba04-77da5e147745 · inbound

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora cites this paper.

EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 6

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Observation c5ef3ed0-ea0b-46bb-96a2-524ab8e3888a · inbound

Time Series Forecasting Through the Lens of Dynamics cites this paper.

Time Series Forecasting Through the Lens of Dynamics LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 32

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Observation 9a5c2095-d3a9-4472-b9e1-c4fa2dc9bd5c · inbound

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors cites this paper.

ExploreGS: Explorable 3D Scene Reconstruction with Virtual Camera Samplings and Diffusion Priors LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 6

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Observation 7db704fa-c070-4824-9953-fd4bfb1f4bdd · inbound

Autonomous Code Evolution Meets NP-Completeness cites this paper.

Autonomous Code Evolution Meets NP-Completeness LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 30

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Observation 428d3ee3-5fc5-4bc7-a0da-69f4ae90fa1a · 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-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 11

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Observation ade72382-3882-4f54-b2c8-9ee15ae815d2 · inbound

FELA: A Multi-Agent Evolutionary System for Feature Engineering of Industrial Event Log Data cites this paper.

FELA: A Multi-Agent Evolutionary System for Feature Engineering of Industrial Event Log Data LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 45

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arxiv_id, observed 2026-05-18T04:02:23.197891Z

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

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Observation 46fbe78e-7f4f-4d86-943f-8d9bc969ce5f · inbound

SAIL: Sound Abstract Interpreters with LLMs cites this paper.

SAIL: Sound Abstract Interpreters with LLMs LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 45

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Observation c6c7b40f-4d49-4f37-aeba-e61354c0717a · inbound

DeepInflation: an AI agent for research and model discovery of inflation cites this paper.

DeepInflation: an AI agent for research and model discovery of inflation LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 82

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Formula-One Prompting: A Composable Equation-First Prefix for Applied Mathematics cites this paper.

Formula-One Prompting: A Composable Equation-First Prefix for Applied Mathematics LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 5

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Observation 01d92851-874a-4664-a7ea-5799adaee9f5 · 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-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 40

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Identifying Topological Invariants of Non-Hermitian Systems via Domain-Adaptive Multimodal Model for Mathematics cites this paper.

Identifying Topological Invariants of Non-Hermitian Systems via Domain-Adaptive Multimodal Model for Mathematics LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 70

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Identifying Topological Invariants of Non-Hermitian Systems via Domain-Adaptive Multimodal Model for Mathematics cites this paper.

Identifying Topological Invariants of Non-Hermitian Systems via Domain-Adaptive Multimodal Model for Mathematics LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 70

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

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Observation c49b81b1-516d-449f-9651-0284c853f003 · inbound

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults cites this paper.

Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 71

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arxiv_id, observed 2026-05-16T14:12:58.595941Z

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

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

Neuro-Symbolic ODE Discovery with Latent Grammar Flow LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 27

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

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Neuro-Symbolic ODE Discovery with Latent Grammar Flow LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 26

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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 LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 33

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arxiv_id, observed 2026-05-13T22:43:23.358953Z

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

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Observation f85a4e1c-81ff-40f9-9d4b-507022c3106e · inbound

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

Programmatic Context Augmentation for LLM-based Symbolic Regression LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 3

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arxiv_id, observed 2026-05-09T06:25:48.431757Z

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Observation 7d21673c-9f1e-4444-b1f7-c71b3a582d57 · inbound

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents cites this paper.

PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 35

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arxiv_id, observed 2026-05-11T05:00:56.496897Z

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

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

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 7

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arxiv_id, observed 2026-05-19T16:22:39.516588Z

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

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Observation 3b38bffd-047c-48a6-a05e-eb39ff0f116a · inbound

Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning cites this paper.

Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 31

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arxiv_id, observed 2026-05-21T05:59:41.172254Z

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=2026-05-21T05:55:25.350890Z digest=sha256:61cef296670fc29a97baad58c8f1b66c1ca481227e7910b2947a48b24547080b

Observation bedc050d-7dd2-4747-b751-09e7f6a18f50 · inbound

MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery cites this paper.

MOOSE-Copilot: A Web-Based Interactive Assistant for Unified Exploratory and Fine-Grained Scientific Hypothesis Discovery LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 2

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metadata mismatch
arxiv_id, observed 2026-06-29T07:53:13.787167Z

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=2026-06-29T07:47:08.606566Z digest=sha256:e1fb6947ca3fa914cc062ad6024f23d34e5a423b85de19a950e14d2cbb79ba50

Observation 324e2ce5-3e91-4229-823d-25db20cdca7a · inbound

GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis cites this paper.

GP-GOMEA with GPU-Based Fitness Evaluations: Design and Performance Analysis LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 19

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metadata mismatch
arxiv_id, observed 2026-06-28T20:22:36.531133Z

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=2026-06-28T20:21:31.456568Z digest=sha256:0794d567c6090b34ca0ebc3ef91306b05bb87f12a7176c5442419139fdecd4b4

Observation e218299e-6c9f-45aa-a2cc-ca91ee8f8a97 · inbound

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation cites this paper.

EvoGens: A Population-Based Heuristic Search Framework for Scientific Idea Generation LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 37

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verified exact
arxiv_id, observed 2026-06-28T22:32:44.171586Z

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=2026-06-28T22:29:44.078911Z digest=sha256:cb4baee101bfbbddf25224ec34eae6e19617c584aa12c155f93e6165a1bd6741

Observation ad7e42a0-3048-4f04-8e85-a7caab7a52f1 · inbound

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

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 58

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verified exact
arxiv_id, observed 2026-07-02T16:17:09.440986Z

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=sha256:3ad451a38a24f6e966c3d610f3fd149afbfeae9fedca20a665428369cc60876b

Observation 2105d8c2-20d1-4ee2-a425-f1fd6efea481 · inbound

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

EditSR: Enhancing Neural Symbolic Regression via Edit-based Rectification LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 52

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verified exact
arxiv_id, observed 2026-07-02T20:47:22.648554Z

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=2026-06-27T20:15:18.492669Z digest=sha256:5df561cd728792319603f8e2baefd86c6649b6ad2eb4155b958fe8f010cea7fe

Observation e93b92ca-a3c1-46ed-95bc-c25c7cd34a48 · inbound

Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling cites this paper.

Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-07-03T09:17:48.536035Z

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=2026-06-27T10:27:41.409357Z digest=sha256:9a3507e6bd75f2b051412f9c691c152cc2170179f64aeed3434a4214aae630ea

Observation 2295a799-da5f-41f6-8310-edefd6fd54f1 · inbound

Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks cites this paper.

Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 7

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verified exact
arxiv_id, observed 2026-06-26T17:59:40.644989Z

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=2026-06-26T17:55:29.374545Z digest=sha256:3a17160f79b0931484c74b2325c500c5d3a4248c08022de5ff6aac0cfdd59876

Observation 750c7364-413c-4b90-9003-cdae108433af · inbound

SciLens: Multi-modal Scientific Claim Verification with Agentic Entailment and Grounding cites this paper.

SciLens: Multi-modal Scientific Claim Verification with Agentic Entailment and Grounding LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:59:34.090827Z

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=2026-06-26T17:17:53.433056Z digest=sha256:ec4ae5b80fd025510919fbdc2ebd59e0e9223a6c83aa28c06dd0997680bce8e5

Observation 872749db-cbe6-4c5c-8a3e-99e86716a8ef · inbound

Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization cites this paper.

Joint discovery of governing partial differential equations from multi-source datasets by competitive optimization LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 22

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verified exact
arxiv_id, observed 2026-07-01T08:35:34.265059Z

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=2026-07-01T07:19:48.381084Z digest=sha256:8ea38381bb9b40fcc422795f4bd326b122867ffa590c605f1dfb50e3cb6657d2

Observation c3bc2b92-9de6-4964-a15f-7eda04472384 · inbound

A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework cites this paper.

A Novel Method for Differential-Algebraic Dynamic Model Discovery in Power Systems: An LLM-Based Multi-Agent Collaborative Framework LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-01T11:15:42.786680Z

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=2026-07-01T04:39:06.279450Z digest=sha256:4a933c9e4e29b664394c8afddedbb2532267d5e67f0c5a1d311f4d40df13b47f

Observation 104d9ca8-45a1-4c93-974c-e38779870b4e · 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-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:17:08.275240Z

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=2026-07-02T16:15:45.767727Z digest=sha256:bcff14d9534180f0efb76ff7b0f461cb90809beb9f8d00be60df9b4add304dcd

Observation bf4727b4-9d96-4246-9704-7d11c2f6f46a · 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-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-07-14T14:06:35.756620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T14:06:35.756620Z digest=sha256:23677e293b0a7c9de205c8d605f67ef27c3357b8a8cfc0490cad8dbf3fd32560

Observation fddc491b-86a2-4c26-8bb5-809fff1ce8a2 · inbound

LLM-PDESR: Robust PDE Discovery via Subdomain Weighted Residuals and LLM-Guided Symbolic Hypothesis Generation cites this paper.

LLM-PDESR: Robust PDE Discovery via Subdomain Weighted Residuals and LLM-Guided Symbolic Hypothesis Generation LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-14T10:56:35.866730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:56:35.866730Z digest=sha256:7dfd5ccb49313ef7a894994401e60ad949e01aba84b7f625c9e98abf2c110ee7

Observation 8d856ad3-9e37-4c43-ba48-b9adb3505fa2 · inbound

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation cites this paper.

Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-01T17:44:54.015963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:44:54.015963Z digest=sha256:ac8e6bd16f61e0de1ab3cbaedf74a821e624a1a6f65af2a21e14d3704d01eb3b

Observation 81aaca81-9bf1-40c2-9a51-21cbb840c85f · inbound

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning cites this paper.

VisualPatchWorld: Code World Models as Latent Structured Representations for Planning LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 16

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unresolved
no resolver link, observed 2026-08-01T03:05:32.211246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:05:32.211246Z digest=sha256:bf70b5d1515366426628c1fe59e522ceaeb8bfaab719d997df377b6c2dac708c

Observation d5ebe877-c2ef-4d15-b759-c14fc2501fa1 · inbound

Library Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic Discovery cites this paper.

Library Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic Discovery LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-03T00:47:38.365748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:47:38.365748Z digest=sha256:83749e2dd79f24489e82e11ba6838f09611110f64b01c20aed13b9f0c5e34f1d

Observation 46508c38-38f2-43c0-82fb-af4afa6042ab · 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-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-03T04:39:28.610643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:39:28.610643Z digest=sha256:99931fed5e55e96033d7f5c03a8b8daef1fe701497d961ada236d7442f4de797

Observation df3567cb-f428-4019-85d4-3ca8dc236029 · inbound

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers cites this paper.

Unified remnant models for aligned-spin, precessing, and eccentric binary black hole mergers LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:38.767176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:42:38.767176Z digest=sha256:36d1e7fc919ae34489d5938937945f2f7feb7c568ce0aeef78e84d2106d988a9

Observation e4012e50-6705-4548-b592-a4fad9b928bb · inbound

Large language models for partial differential equation workflows cites this paper.

Large language models for partial differential equation workflows LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T16:18:49.194922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:18:49.194922Z digest=sha256:49554c6502ed42221d602533154a56acccd372bd42cb9f82a79599a9c8317819