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Paper Citation Record · LEDGER

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

As of 17 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 10 inbound Pith citation observations for arXiv:2506.04282.

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

pith.paper-citation-record.v1
2506.04282 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:45.964799Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:42:39.481894Z

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

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 2f6e60c0-4639-4b3f-ba1f-51150205f43b · outbound

This paper cites Interpretable scientific discovery with symbolic regression: a review.Artificial Intelligence Review, 57(1):2, 2024.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Interpretable scientific discovery with symbolic regression: a review.Artificial Intelligence Review, 57(1):2, 2024

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ecde0db9-60b3-473f-bb7d-9caceea155d4 · outbound

This paper cites Rediscover- ing orbital mechanics with machine learning.Machine Learning: Science and Technology, 4(4):045002, 2023.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Rediscover- ing orbital mechanics with machine learning.Machine Learning: Science and Technology, 4(4):045002, 2023

Reference 2

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Observation 3e407f10-9c3b-4945-bdf3-76f4a244ed03 · outbound

This paper cites Discovery of a planar black hole mass scaling relation for spiral galaxies.The Astrophysical Journal Letters, 956(1):L22, 2023.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Discovery of a planar black hole mass scaling relation for spiral galaxies.The Astrophysical Journal Letters, 956(1):L22, 2023

Reference 3

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6a5659cb-39fd-4b19-8e68-7d7dc299945f · outbound

This paper cites Emerging materials intelligence ecosystems propelled by machine learning.Nature Reviews Materials, 6(8):655–678, 2021.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Emerging materials intelligence ecosystems propelled by machine learning.Nature Reviews Materials, 6(8):655–678, 2021

Reference 4

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Observation 990f26cb-8901-4d97-9d69-fd01bb0f219d · outbound

This paper cites Fast, accurate, and transferable many-body interatomic potentials by symbolic regres- sion.npj Computational Materials, 5(1):112, 2019.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Fast, accurate, and transferable many-body interatomic potentials by symbolic regres- sion.npj Computational Materials, 5(1):112, 2019

Reference 5

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b0673c63-baa5-4311-a490-e179a38f6428 · outbound

This paper cites Generating synergistic formulaic alpha collections via reinforcement learning.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Generating synergistic formulaic alpha collections via reinforcement learning

Reference 6

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Observation 967076b8-bdb1-40f5-851a-aeb18713ee12 · outbound

This paper cites Hrft: Mining high- frequency risk factor collections end-to-end via transformer.arXiv preprint arXiv:2408.01271, 2024.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Hrft: Mining high- frequency risk factor collections end-to-end via transformer.arXiv preprint arXiv:2408.01271, 2024

Reference 7

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Observation 96311e20-6e7e-49b0-8957-aac3838687e2 · outbound

This paper cites Distilling free-form natural laws from experimental data.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Distilling free-form natural laws from experimental data

Reference 8

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Observation 75120ad0-f325-40f3-a999-f779b74fa3e1 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 9

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Observation c4e9f848-5ffc-4728-aa3e-365b4dfa7ae2 · outbound

This paper cites Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Reference 10

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Observation 00bfc12a-dea9-4c0a-aa40-09dfa3803316 · outbound

This paper cites Neural symbolic regression that scales.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Neural symbolic regression that scales

Reference 11

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2f86f7ea-f807-45bf-850a-5d427e2741d3 · outbound

This paper cites End-to-end symbolic regression with transformers.Advances in Neural Information Processing Systems, 35:10269–10281, 2022.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience End-to-end symbolic regression with transformers.Advances in Neural Information Processing Systems, 35:10269–10281, 2022

Reference 12

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Observation 20970ee5-a923-4e85-a68c-2afb87fa8c92 · outbound

This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

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 27bb29ab-9982-49a3-93bd-3dee0616259e · outbound

This paper cites Mixtral of Experts.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Mixtral of Experts

Reference 14

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Observation d77d099b-cca0-4cbd-933b-fcfe8bfa595b · outbound

This paper cites Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report

Reference 15

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Observation 650056de-b3a7-4e46-8c94-732f3f390a96 · outbound

This paper cites In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience In-Context Symbolic Regression: Leveraging Large Language Models for Function Discovery

Reference 16

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Observation fd39cf2d-af29-4e67-bfdc-2d737bad795f · outbound

This paper cites LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models.

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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Observation 6ff8fa24-cec8-45d7-886f-0fa088f4de9e · outbound

This paper cites The growth of bacterial cultures.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience The growth of bacterial cultures

Reference 18

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Observation 19e89ec7-9eec-430d-93ed-e4c857ef9150 · outbound

This paper cites Convenient model to describe the combined effects of temperature and ph on microbial growth.Applied and environmental microbiology, 61(2):610–616, 1995.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Convenient model to describe the combined effects of temperature and ph on microbial growth.Applied and environmental microbiology, 61(2):610–616, 1995

Reference 19

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Observation fa3fc3c5-83cd-42bf-a9b0-241bc74a8fd6 · outbound

This paper cites Ai feynman: A physics-inspired method for symbolic regression.Science advances, 6(16):eaay2631, 2020.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Ai feynman: A physics-inspired method for symbolic regression.Science advances, 6(16):eaay2631, 2020

Reference 20

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Observation c14a4ed0-16f0-42a3-b8c6-64d930b4bc9e · outbound

This paper cites A unified framework for deep symbolic regression.Advances in Neural Information Processing Systems, 35:33985– 33998, 2022.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience A unified framework for deep symbolic regression.Advances in Neural Information Processing Systems, 35:33985– 33998, 2022

Reference 21

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Observation 899737bf-6c65-49e4-b298-84aaea550537 · outbound

This paper cites Symbolic regression with a learned concept library.Advances in Neural Information Processing Systems, 37:44678–44709, 2024.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Symbolic regression with a learned concept library.Advances in Neural Information Processing Systems, 37:44678–44709, 2024

Reference 22

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Observation aa4c4c37-6b85-4318-a71b-87db3da654d3 · outbound

This paper cites Information processing, data inferences, and scientific generalization.Behav- ioral Science, 19(5):314–325, 1974.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Information processing, data inferences, and scientific generalization.Behav- ioral Science, 19(5):314–325, 1974

Reference 23

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Observation 8e7e296e-4102-4372-9614-b55b47bd8195 · outbound

This paper cites Bacon: A production system that discovers empirical laws.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Bacon: A production system that discovers empirical laws

Reference 24

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Observation 1b2c462f-3519-4c69-a4e0-306f73cefec9 · outbound

This paper cites Genetic programming as a means for programming computers by natural selection.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Genetic programming as a means for programming computers by natural selection

Reference 25

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d7caeb53-cea5-4865-aac7-0318bd57c59c · outbound

This paper cites Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search

Reference 26

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Observation a3b21baa-c373-4913-887d-db3a9364b415 · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937, 2016.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937, 2016

Reference 27

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Observation ef77839a-cec8-4ecf-baa8-cdc8aa0f8a79 · outbound

This paper cites Data-driven discovery of coordinates and governing equations.Proceedings of the National Academy of Sciences, 116(45):22445–22451, 2019.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Data-driven discovery of coordinates and governing equations.Proceedings of the National Academy of Sciences, 116(45):22445–22451, 2019

Reference 28

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Observation f6a22c80-b766-407e-8cee-bc2e4fb67f57 · outbound

This paper cites Extrapolation and learning equations.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Extrapolation and learning equations

Reference 29

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Observation 4bedd013-060a-4bdb-a81f-8a0a4bb78884 · outbound

This paper cites Learning equations for extrapolation and control.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Learning equations for extrapolation and control

Reference 30

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Observation a0afdfb5-0407-4854-8256-ef591d41f800 · outbound

This paper cites Integration of neural network-based symbolic regression in deep learning for scientific discovery.IEEE transactions on neural networks and learning systems, 32(9):4166– 4177, 2020.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Integration of neural network-based symbolic regression in deep learning for scientific discovery.IEEE transactions on neural networks and learning systems, 32(9):4166– 4177, 2020

Reference 31

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Observation fd2d554f-76b5-4995-9fce-eb70efc17969 · outbound

This paper cites PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression

Reference 32

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Observation 993466f6-0ee0-425a-937b-8bcd42ad5f35 · outbound

This paper cites Metasymnet: A tree-like symbol network with adaptive architecture and activation functions.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Metasymnet: A tree-like symbol network with adaptive architecture and activation functions

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.681341Z digest=sha256:5435faab6e45c62b9d6bc9008fd37cea45a797c2ff88d1c01e930350a10ef16d

Observation dc98ea05-6d38-4441-a487-23791eaf8c25 · outbound

This paper cites Stanford University, Department of Computer Science Stanford, CA, 1990.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Stanford University, Department of Computer Science Stanford, CA, 1990

Reference 34

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raw_fallback, observed 2026-08-07T11:05:48.129084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.688967Z digest=sha256:ef404647a5c5ebeb4a9deb1599de306454342d55c53478c09b6c181910cc137c

Observation 16b2d05c-7cd3-4ffc-a376-9cc81d335dd9 · outbound

This paper cites Interaction–transformation evolutionary algorithm for symbolic regression.Evolutionary computation, 29(3):367–390, 2021.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Interaction–transformation evolutionary algorithm for symbolic regression.Evolutionary computation, 29(3):367–390, 2021

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:48.091360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.694223Z digest=sha256:9f06e8b3933f8fcb201ae4b8b5ae6529bb4b633eed91cdc1296247dda8d10d3a

Observation 7d0486f6-15b4-4360-b9c4-59eda9436d00 · outbound

This paper cites Taylor genetic program- ming for symbolic regression.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Taylor genetic program- ming for symbolic regression

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:48.058705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.705410Z digest=sha256:dace2e7ea09de3c219a64b96125c39cad3a5f323be13a87f97537b3d1f07e3d2

Observation 676ea408-a400-4d3d-ab18-41e878fb1952 · outbound

This paper cites Sr-forest: a genetic pro- gramming based heterogeneous ensemble learning method.IEEE Transactions on Evolutionary Computation, 2023.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Sr-forest: a genetic pro- gramming based heterogeneous ensemble learning method.IEEE Transactions on Evolutionary Computation, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:48.010625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.716387Z digest=sha256:d38d6b3eb2f8d232322c116704baec664f0774becc09cbb617269bc334434f59

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

This paper cites Symbolic Regression via Neural-Guided Genetic Programming Population Seeding.

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=sha256:0cef6a6b97c57d9f0be7f0454e2953ec9bffa96403fc31ac20ed5c9a055c407b

Observation 6cb197d9-dcd2-42cb-9977-62c3421b8054 · outbound

This paper cites Improving exploration in policy gradient search: Application to symbolic optimization.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Improving exploration in policy gradient search: Application to symbolic optimization

Reference 39

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:05:46.636286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.738175Z digest=sha256:0249cfdbd1a0a85523f2b9b13feb155290fa52d6ad8d7161844b6e570591bf19

Observation 5a8ec63b-6edf-4042-9fde-bd4638760545 · outbound

This paper cites Interactive reinforcement learning for symbolic regression from multi-format human-preference feedbacks.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Interactive reinforcement learning for symbolic regression from multi-format human-preference feedbacks

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.978581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.746016Z digest=sha256:a5f3c01f6b7d01e6e24bdfb34b02749d33193e01a3b62901e504a3c800125800

Observation fdd34f60-4462-4617-b309-bf7b619801ca · outbound

This paper cites A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:45.759287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:45.759287Z digest=sha256:47e9e4c65302c192052755123bef57b3fbfb332c8c3d243bece6fe414ee26be9

Observation f07cba36-c36a-49e8-92f6-2075a6f5f6d4 · outbound

This paper cites Discover: Deep identification of symbolically concise open-form partial differential equations via enhanced reinforcement learning.Physical Review Research, 6(1):013182, 2024.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Discover: Deep identification of symbolically concise open-form partial differential equations via enhanced reinforcement learning.Physical Review Research, 6(1):013182, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.934637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.765050Z digest=sha256:ccb52c5846307a4065f2431a2e8d4c43e6be39e6714656a37c04907c04de15cf

Observation 243dead3-0ea8-486e-8154-df72d8f951ed · outbound

This paper cites Disco-dso: Coupling discrete and continuous optimization for efficient generative design in hybrid spaces.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Disco-dso: Coupling discrete and continuous optimization for efficient generative design in hybrid spaces

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.904098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.774226Z digest=sha256:72108239eef003e4b3ced7d2f4e2ce948d3b994f887be2d138a0492bcc5dcd7a

Observation 1cf2d43c-3d4e-40f2-8698-23afcd2448f4 · outbound

This paper cites SymbolicGPT: A Generative Transformer Model for Symbolic Regression.

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=sha256:5a4e3f6e619591faa65a44d946b0f44c4c34d584c7e26d158ca4fed2e1a8d898

Observation 2b09d215-6ced-4b61-b80e-276d56fd4201 · outbound

This paper cites Symformer: End-to-end symbolic regression using transformer-based architecture.IEEE Access, 2024.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Symformer: End-to-end symbolic regression using transformer-based architecture.IEEE Access, 2024

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.861239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.798541Z digest=sha256:3765a4f2af861ba3170b4848c5dd195b6550f2b089dcca90c4447ad0b80dba66

Observation 47d71405-f5a1-496e-87b2-24d267a49d1c · outbound

This paper cites Transformer-based model for symbolic regression via joint supervised learning.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Transformer-based model for symbolic regression via joint supervised learning

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.825297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.805292Z digest=sha256:024d1a2837054afd66d1025040c36ff3d3be8e9b59ba0ec4137d33bd8ddcb7fa

Observation aec96927-c832-44bc-b264-579088b74555 · outbound

This paper cites Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:45.821504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:45.821504Z digest=sha256:271d5af03b32a841adb89afb5ef902451a925344a4b6af764a063f152676dc22

Observation 30c084b6-0b73-4fd8-9e85-9fa349843182 · outbound

This paper cites Niert: Accurate numerical interpolation through unifying scattered data representations using transformer encoder.IEEE Transactions on Knowledge and Data Engineering, 2024.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Niert: Accurate numerical interpolation through unifying scattered data representations using transformer encoder.IEEE Transactions on Knowledge and Data Engineering, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.783435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.834227Z digest=sha256:187e55f3db1f88133faa3ac94c5e4a86f497b0687e4c91eb49b6f09adee91605

Observation c9460f34-f357-426c-a6f3-09cf349b19dc · outbound

This paper cites Language model crossover: Variation through few-shot prompting.ACM Transactions on Evolutionary Learning, 4(4):1–40, 2024.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Language model crossover: Variation through few-shot prompting.ACM Transactions on Evolutionary Learning, 4(4):1–40, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.743558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.841822Z digest=sha256:a8a8fe0313be2bdd388744bbc1bb5d1757f3c7cbf761f8d9e4537f3412b7bcf9

Observation 38b792e1-2359-46c5-96c9-bc8084ca69e7 · outbound

This paper cites output_format.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience output_format

Reference 50

Resolution
verified exact
raw_fallback, observed 2026-08-07T11:05:46.403988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.847844Z digest=sha256:dfd3dcc98b6dd1b398a25ca13aefad5769551b2dce83c86f3fe77016a8045f90

Observation bdb3cc9e-7024-45ec-9d8c-759cbf33d950 · outbound

This paper cites an unresolved cited work.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:47.655683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.883999Z digest=sha256:40f304392e3955f26ec63588ec2fe21cb45c40f41a62165b52bfe5f996395096

Observation 047c9851-f7b2-4c25-a018-fd5315d2dc76 · outbound

This paper cites What lessons can you draw from it? STRICTLY follow these rules:.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience What lessons can you draw from it? STRICTLY follow these rules:

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.620193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.891593Z digest=sha256:990e5c2f1f6c0cd70b192972d18212cb34e5e90782732293da285846a57eda59

Observation 2791cdbe-41fd-4f77-ad3d-aa437bc098a9 · outbound

This paper cites when seeking for the mathematical function skeleton that represents {dependent_name_in_prompt} in {problem_name_in_prompt}, I can.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience when seeking for the mathematical function skeleton that represents {dependent_name_in_prompt} in {problem_name_in_prompt}, I can

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.696375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.897428Z digest=sha256:965658e0d465bf840b27efb84d85b1483ba3f3955dc133b5947dce988af383a7

Observation 381316d7-dc92-4767-af2b-39a780677def · outbound

This paper cites an unresolved cited work.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:47.536417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.914602Z digest=sha256:36607ff2d278992406893a2f9c99cd5737dacacfd62bd50b8047efc784d5788b

Observation 3d922679-7e4c-4053-a64e-0b3edd05dd85 · outbound

This paper cites when seeking for the mathematical function skeleton that represents {dependent_name_in_prompt} in {problem_name_in_prompt}, I need.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience when seeking for the mathematical function skeleton that represents {dependent_name_in_prompt} in {problem_name_in_prompt}, I need

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:05:47.509784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.923982Z digest=sha256:b14827ccfd1b3b1a8db4d14a04bd16b26f8dbbad52429558f4484bf6fa114f26

Observation 48ad1e51-4b54-4153-8c92-77d195c9434f · outbound

This paper cites an unresolved cited work.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:47.471094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.932585Z digest=sha256:2280d32224d1733cd268356f9f3aaea56bdba27d5b0048c9f39833111ac68d3f

Observation 38d613dc-98cc-4455-9ccc-ae5111acb682 · outbound

This paper cites an unresolved cited work.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:05:47.577537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.953322Z digest=sha256:6f2f95e20b01b73a3c4b284cc24cd02e05ef66769b2c16d836090a42648632d9

Observation 4d7eb78c-ff55-4900-8b2a-ec7e73bb98d5 · outbound

This paper cites output_format.

DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience output_format

Reference 60

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T11:05:47.434349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T11:05:45.964799Z digest=sha256:5c5d8f564dcbb9e37b3580ee3ff2e78d5eb18ba18842f1283623789af6f3baf8

Pith citing papers

Observation 5dba4c1a-7735-4af5-bb28-6f0b308c57fa · inbound

NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models cites this paper.

NSR-Boost: A Neuro-Symbolic Residual Boosting Framework for Industrial Legacy Models DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-03T10:21:13.287769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:21:13.287769Z digest=sha256:c488acbdae44542a71f2a4b4bdbb58b0246c3e1229f090243463be60c423f21c

Observation b3fcdc89-ed37-47fb-8703-691f8ff2e8ec · inbound

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 DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:55.125242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T18:16:23.776505Z digest=sha256:1163b9da9985d481cdb7613d14ca6151b083cbb7a9d704dea84e9a9ae7ae6d49

Observation 1b1c00d3-ca6a-4739-907c-93fd27685bba · inbound

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 DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:20:00.169949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T10:16:00.039638Z digest=sha256:c5a8b7ce4090dd0155b5f69b09876d8449025fc638e45eabfc37c65217d0af31

Observation e8b1c431-29c3-4b80-9d06-8bc58c6f5d7d · inbound

Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs cites this paper.

Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:56:10.180844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T10:35:18.493523Z digest=sha256:5433c3df57a72eb4194bab9b96f84a7168b059400f396233e25fc4d41e57a9fb

Observation adce14b0-e79c-4997-96f3-00b56704da0e · inbound

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery cites this paper.

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:13:13.309890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T11:08:51.169256Z digest=sha256:7df297e3551f4afdcb94d232c2553c8da2fd1d1d585a71b8fdbb7da6cd75a803

Observation 5c6f4078-37d8-4e18-a53a-dc0e6a1605b3 · inbound

LLM-driven design of physics-constrained constitutive models: two agents are better than one cites this paper.

LLM-driven design of physics-constrained constitutive models: two agents are better than one DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:55:23.947065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-25T04:51:26.880090Z digest=sha256:69834d17f61d0d8f9aa3a0dfd02a0e95c28c7dbed70deee359f1c74bec4d6b10

Observation eff855da-9b26-4499-af31-55d0516ff5ff · inbound

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

FunctionEvolve: Structure-Guided Symbolic Regression with LLMs DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 63

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:17:09.441143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-27T22:49:40.344762Z digest=sha256:b5317e44f1f8e22c5ac1aedc0ad9965e96230d39e0b94ca3573ff6f3035edc24

Observation 38eae80c-d0c2-4b65-9a25-b749f5cae2d5 · 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 DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T00:47:39.378862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T00:47:39.378862Z digest=sha256:6849c79119eee2a59bcd5fcc8340f4e7faa3306efb1fe69fa5ca0b8505d1cd1f

Observation 49af4e62-6035-4f68-9050-e97eb0ab6ad6 · 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 DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-06T00:42:39.481894Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T00:42:39.481894Z digest=sha256:74e216fda936a1abcdba05decb485a3647a10435a2aad1385be9feb20395ebfb

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

Large language models for partial differential equation workflows DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience

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