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Paper Citation Record · LEDGER

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2607.29561.

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

pith.paper-citation-record.v1
2607.29561 v1

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:39:28.756066Z

measured 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

94 of 94 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved87
  • parse uncertain0
  • malformed identifier7
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 844b99d2-1c03-4b60-a28f-19871610e351 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 1

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Observation 4a730ffc-cac3-4b42-b7d8-8effac01a878 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 2

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Observation e3585b6e-37aa-41b2-80b6-b2f9440326ce · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 3

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Observation 71fe45b4-41d8-4868-a54f-2a12d49a6525 · outbound

This paper cites Neural Symbolic Regression that Scales.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Neural Symbolic Regression that Scales

Reference 4

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Observation 1bc73933-d0a0-4155-b707-c9f12ff67dab · outbound

This paper cites Biggio*, T.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Biggio*, T

Reference 5

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Observation 76338804-b3e8-44d8-86c8-79a55d88f16a · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 6

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Observation 1be1b182-5a22-420e-b4f3-23cadf877bbc · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 7

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Observation ad325d12-e6c0-4e4b-81b2-0ec42d99a933 · outbound

This paper cites Cooley and John W.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Cooley and John W

Reference 8

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Observation a9359dde-0337-406f-91bd-0628f1ce4d0a · outbound

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

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 9

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Observation dac9d1b0-ddcd-44e8-91e7-76e8e0c0ed1e · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 10

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Observation 911fde16-be53-427d-85af-5cc4a8dd4f02 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 11

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Observation cee3364c-6b2f-4332-952a-18d8e3d0791f · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 12

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Observation e8b3f4ae-e2ca-46f0-ac52-47c19c38ec6f · outbound

This paper cites DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning

Reference 13

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Observation e4c1f04c-fadc-4e14-bcd0-177ec2fc5978 · outbound

This paper cites 1987.Practical Methods of Optimization (2nd ed.).

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models 1987.Practical Methods of Optimization (2nd ed.)

Reference 14

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This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 15

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Observation 52b5f9bd-186b-4056-950c-bff7bc6a3eb3 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 16

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Observation b3ea9206-fd9e-44ab-bfe7-0cd8d477ee9a · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 17

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Observation d7a2d8ce-399c-488b-8102-c5fd295af99b · outbound

This paper cites Symbolic Regression with a Learned Concept Library.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Symbolic Regression with a Learned Concept Library

Reference 18

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Observation 1f227b92-5331-4f9d-aac0-9c063fa0613e · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 19

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Observation 08e33425-27a3-46d4-bd48-a7d4f6bc631d · outbound

This paper cites End-to-end symbolic regression with transformers.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models End-to-end symbolic regression with transformers

Reference 20

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

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report

Reference 21

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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Observation a24ba6a4-fb51-4ff6-8118-6f414327f590 · outbound

This paper cites Geneticallybreedingpopulationsofcomputerprogramstosolve problems in artificial intelligence.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Geneticallybreedingpopulationsofcomputerprogramstosolve problems in artificial intelligence

Reference 25

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Improving exploration in policy gradient search: Application to symbolic optimization

Reference 28

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 29

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This paper cites Pareto Set Learning for Neural Multi-objective Combinatorial Optimization.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Pareto Set Learning for Neural Multi-objective Combinatorial Optimization

Reference 30

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Montgomery, Elizabeth A

Reference 38

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Symbolic Regression via Neural-Guided Genetic Programming Population Seeding

Reference 39

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Observation 98f7957e-3db0-4da3-9050-b6bd134adc0f · outbound

This paper cites Foster, and Michael Hicks.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Foster, and Michael Hicks

Reference 40

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Observation 443f3d01-caf8-4cfc-a7f3-d47fffa58a8b · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 41

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source=pdf_text observed=2026-08-03T04:39:27.924325Z digest=sha256:4800a38f6a48d6c5fae9d1d2b654b15f3e7dee0f9cc2d9925566354d32d98bcd

Observation 72a00c9e-fe4a-4062-b13e-eb9567e9c7fb · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 42

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Observation 76c49e24-adf0-4701-93f6-db4dc26f210f · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 43

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Observation f8c68d5e-b37e-4509-b33a-67636aaaa6d0 · outbound

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

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Reference 44

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source=pdf_text observed=2026-08-03T04:39:28.146423Z digest=sha256:1406959d793abaf81f9b9050c3af65d0b58789e04df5d6721a60774f1bc8ad94

Observation 42ecf2af-9926-41c4-af24-8432cb98d613 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 45

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Observation ffa378d0-8a7d-47df-ae81-7049df52d630 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 46

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Observation 682819a7-683a-47bc-8999-9902dbbd172c · outbound

This paper cites Taiji program: Gravitational-wave sources.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Taiji program: Gravitational-wave sources

Reference 47

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source=pdf_text observed=2026-08-03T04:39:28.406280Z digest=sha256:782a7768c63009423cb8613053ee618af5213f705a7247980ee65e1eb2ff2bd8

Observation 04d6ef5a-c071-4e60-89ad-e38139588a01 · outbound

This paper cites Sakoe and S.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Sakoe and S

Reference 48

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source=pdf_text observed=2026-08-03T04:39:28.489597Z digest=sha256:283f3017040b88a6f854774e3cbe39d821a2c26364c0e657a75392069b861910

Observation 7be1ffdf-df7b-45df-bf1a-23b3570a5e3c · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-03T04:39:28.573739Z digest=sha256:0945ab2c6ccd56227ddf76e653f43264c17496787b3fbe4796bbc5fe48609da1

Observation 8f77c865-6646-4a99-8069-47fb9322c47d · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-03T04:39:28.604897Z digest=sha256:56579570b2a470160491ad1c076f169a4fe38f08aabdcba97207e47705346073

Observation 511b3e73-3f04-4652-8d69-1a4de533adf7 · outbound

This paper cites AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors

Reference 51

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source=pdf_text observed=2026-08-03T04:39:28.607774Z digest=sha256:458e548dad9e8ff975cf98c586ac0d76de8563f68e4aa2d04f35a4469cbc6867

Observation 46508c38-38f2-43c0-82fb-af4afa6042ab · outbound

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

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

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source=pdf_text observed=2026-08-03T04:39:28.610643Z digest=sha256:203f375278be51400fa5ab6fca278bbffb3115378d2702553a821829e1413b1d

Observation e59a2b12-a2fd-4294-9574-5a1e9b43f82d · outbound

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

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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source=pdf_text observed=2026-08-03T04:39:28.613562Z digest=sha256:4d69bca857c7ef789e943c146908cb2c5680a4aa8978f1ec0b11f3cba37262e5

Observation 7b8365c9-9782-4b6f-8b9f-9faa399b0e6f · outbound

This paper cites Spearman.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Spearman

Reference 54

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source=pdf_text observed=2026-08-03T04:39:28.616678Z digest=sha256:b949633a86a79680c344c2530ca5d6995800b80072f3c76480b40b6381233380

Observation 02f77636-5d25-4556-a737-cf6d36b82829 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-03T04:39:28.619478Z digest=sha256:ea6e9d3325145bf8560431bf2e4e1b546e9c542f0591d18dde139deba08e015c

Observation 502918ce-8e11-489d-b153-6068a31a206e · outbound

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

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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source=pdf_text observed=2026-08-03T04:39:28.625560Z digest=sha256:7e605ba034563fdfde96c2cac7e5ad96708c98ec6483ffcb9375614722f5ef89

Observation 0f4ec355-1314-42f3-8508-b701fba1736e · outbound

This paper cites Fast Self-forced Inspirals.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Fast Self-forced Inspirals

Reference 57

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source=pdf_text observed=2026-08-03T04:39:28.628311Z digest=sha256:dc56efdad903a4b39df0b462a4a718d36697f491e0b71eb44992d855dd0631c4

Observation e75ab0e7-5f88-4696-af59-4085f16ebb8e · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-03T04:39:28.631127Z digest=sha256:e167d04da2dd0a1d3edeb7b729a2cdd311bb310df43357eb088a4f418794f0c2

Observation 9600e81f-225e-470f-a0eb-73bd2f8fa21b · outbound

This paper cites Symbolic Regression is NP-hard.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Symbolic Regression is NP-hard

Reference 59

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source=pdf_text observed=2026-08-03T04:39:28.636852Z digest=sha256:51108ecfed6f7fb6752993124d7e1a9f65911e375e816628da88d4d826046ead

Observation 8f3ae643-8f04-46a5-9fc5-9601f93e707a · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-03T04:39:28.639498Z digest=sha256:6bc69c4bd1de2eed25475e720ab75d8665e9d99c03982dc8396e189831ee3606

Observation ea41d917-075a-4426-872a-fd6504005dbf · outbound

This paper cites Determin- ing Lyapunov exponents from a time series.Physica D: Nonlinear Phenomena 16, 3 (1985), 285–317.doi:10.1016/0167-2789(85)90011-9.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Determin- ing Lyapunov exponents from a time series.Physica D: Nonlinear Phenomena 16, 3 (1985), 285–317.doi:10.1016/0167-2789(85)90011-9

Reference 61

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Observation 533961df-7fe5-4b86-b557-a2d4df7f7c47 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-03T04:39:28.645280Z digest=sha256:7183fd7c08620c3eecad345926da486836cf9863ec2b5713f4c31bd4541eedfe

Observation 8d094790-21e4-4aa4-9f97-5169fe600b7b · outbound

This paper cites IEEE Access 12 (2024), 37840–37849.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models IEEE Access 12 (2024), 37840–37849

Reference 63

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source=pdf_text observed=2026-08-03T04:39:28.633934Z digest=sha256:441214ad62f427eb281249ce8b84a79538e7a46f3ca265fa7a0dc8aa87e586a7

Observation c10f9799-e231-460c-9cd9-214623d534e1 · outbound

This paper cites ComparisonofMultiob- jective Evolutionary Algorithms: Empirical Results.Evolutionary Computation 8, 2 (2000), 173–195.doi:10.1162/106365600568202.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models ComparisonofMultiob- jective Evolutionary Algorithms: Empirical Results.Evolutionary Computation 8, 2 (2000), 173–195.doi:10.1162/106365600568202

Reference 64

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source=pdf_text observed=2026-08-03T04:39:28.656386Z digest=sha256:43f7232a0bad4de638c39b6501e009f313114a25472dfb595aab17f047f52f2c

Observation c65d4263-d482-49bf-a8ed-317ff5066d0d · outbound

This paper cites Zitzler and L.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Zitzler and L

Reference 65

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source=pdf_text observed=2026-08-03T04:39:28.659372Z digest=sha256:2683267480925cf6d78e7e010f31b5c563754354e6f2b698b4bf0791c682b5fa

Observation a6de39a7-31cb-48fd-877a-65ee81688514 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-03T04:39:28.651114Z digest=sha256:4d05eaf4d425eb2ac648e1ff87420e181729b26ee394e9f28a72466c5e70e454

Observation b5bac645-6105-44b9-a16f-9b9f568be592 · outbound

This paper cites In The Thirteenth International Conference on Learning Representations.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models In The Thirteenth International Conference on Learning Representations

Reference 70

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source=pdf_text observed=2026-08-03T04:39:28.653741Z digest=sha256:a6eb026b58f37d2a3a5312c697cbad5d33da38ef8c9887985d2d106dc4f33343

Observation 2189217e-2720-4b4f-afc1-932e57241bd4 · outbound

This paper cites analysis_tools.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models analysis_tools

Reference 74

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Observation a1bb1bba-130e-468b-a31c-365b95af0ea4 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 79

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Observation 534c18d8-e83e-4a4f-b567-8a986d5de529 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 84

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Observation ed12ce21-4323-44ca-a0de-dcde993bc331 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 85

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Observation 5afab977-674f-43b2-84f9-bb751cc44312 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-03T04:39:28.696027Z digest=sha256:cfefaa8b9c2e97bd6b247a21bb3d3b5b7ccb6011e082e9f7b3fe14c8379fb904

Observation f608bc4f-ea86-4ff0-899c-dec01a53d6a0 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 87

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Observation 25f16932-b160-446c-a3ae-495fedd03d0e · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 88

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Observation 90c6421f-2290-438f-b243-65c4912d9e4a · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-03T04:39:28.703783Z digest=sha256:3fc5eec46eff29529f314739c12e5bda5316252c749e2179916a9c1b59f60527

Observation 9478deca-6e3d-4efe-8357-0703f7058582 · outbound

This paper cites Wang et al.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Wang et al

Reference 90

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Observation 6b64c0cb-a9c8-426e-bd9b-579823569bd1 · outbound

This paper cites "" Find the mathematical function skeleton that represents acceleration in a damped nonlinear oscillator system with driving force, given data on position, and velocity.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models "" Find the mathematical function skeleton that represents acceleration in a damped nonlinear oscillator system with driving force, given data on position, and velocity

Reference 96

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Observation 8f9bc392-9675-4052-adea-85582a0e8ac6 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 97

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Observation cb87a418-7782-4c85-a93e-6beb7fc8376b · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-03T04:39:28.728110Z digest=sha256:0aa614f0296d72bf4fb765e062e67886db0ca5a8363ae3fb71343dcf3fb261fc

Observation d7c4b016-defd-47ba-9b99-b61188ffb00a · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 99

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no resolver link, observed 2026-08-03T04:39:28.730708Z

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Observation fe963cb8-1540-46ad-bfa7-804762781390 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 100

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Observation 07b911a2-7655-446e-901b-09cb3e5b8d6f · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 101

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models "" Find the mathematical function skeleton that represents acceleration in a damped nonlinear oscillator system with driving force, given data on position, and velocity

Reference 102

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models structure_insight_prompt_for_generator_LLM

Reference 103

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models analysis_tools

Reference 104

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Observation d51570f0-734e-4ad5-8837-21da6ac00cfd · outbound

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 105

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Observation 2281cd47-bfdc-47b9-a96a-e0ecbcdb5b94 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 106

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Observation 5172388b-a314-4779-b46b-c61537366cfc · outbound

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 107

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This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 108

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This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 109

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Observation 0ec8f096-37a7-423c-b235-76bdd92d1c75 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 500

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Observation 081ef08e-a85e-4c01-8dfe-a10f8087ce48 · outbound

This paper cites an unresolved cited work.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Unresolved cited work

Reference 2022

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Observation 0b2148e5-17e8-484e-bb91-a22d55996225 · outbound

This paper cites Associa- tion for Computational Linguistics, 589–606.doi:10.18653/v1/2024.acl-srw.49.

MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Associa- tion for Computational Linguistics, 589–606.doi:10.18653/v1/2024.acl-srw.49

Reference 2024

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Source-reported events for the cited work

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Observation b831710c-2b67-467b-9149-9bdbba6d34de · outbound

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MOT-SR: Multi-Objective Tool-Augmented Scientific Equation Discovery with Large Language Models Multi-objective Evolution of Heuristic Using Large Language Model

Reference 2025

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.