Physics-Audited Agentic Discovery in Scientific Machine Learning | Paper Citation Record

Observation 0da40c8c-ade1-4fc8-82f8-759d0b43d40a · outbound

This paper cites Raissi, P.

Physics-Audited Agentic Discovery in Scientific Machine Learning Raissi, P

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.539394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f31be7e0-9cfd-4200-bd8d-d071a69d744f · outbound

This paper cites Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang.

Physics-Audited Agentic Discovery in Scientific Machine Learning Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.546724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5474797a-e53e-4387-a7d2-94ee56accb14 · outbound

This paper cites Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.Nature Machine Intelligence, 3(3): 218–229, 2021.

Physics-Audited Agentic Discovery in Scientific Machine Learning Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.Nature Machine Intelligence, 3(3): 218–229, 2021

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.534807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 46fbadd3-02e4-450f-9ba9-64502072e5cf · outbound

This paper cites Fourier neural operator for parametric partial differential equations.

Physics-Audited Agentic Discovery in Scientific Machine Learning Fourier neural operator for parametric partial differential equations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.529940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 736c3bea-6de1-48ef-a0aa-592963620256 · outbound

This paper cites an unresolved cited work.

Physics-Audited Agentic Discovery in Scientific Machine Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-07-09T12:56:15.532540Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dce0b0a8-5a71-4f08-9d62-d902b445cb88 · outbound

This paper cites PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning.

Physics-Audited Agentic Discovery in Scientific Machine Learning PDE-Agents: An LLM-Orchestrated Multi-Agent Framework for Automated Finite Element Simulations with Knowledge Graph-Augmented Reasoning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:56:14.907197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a6d972b1-a345-4702-a2f1-de44e61620f3 · outbound

This paper cites ALL-FEM: Agentic large language models fine-tuned for finite element methods.Computer Methods in Applied Mechanics and Engineering, 457:118985, 2026.

Physics-Audited Agentic Discovery in Scientific Machine Learning ALL-FEM: Agentic large language models fine-tuned for finite element methods.Computer Methods in Applied Mechanics and Engineering, 457:118985, 2026

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.555651Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ae52164-4517-46e8-ade2-4a1141737475 · outbound

This paper cites OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics.Physics of Fluids, 37(3):035120, 2025.

Physics-Audited Agentic Discovery in Scientific Machine Learning OpenFOAMGPT: A retrieval-augmented large language model (LLM) agent for OpenFOAM-based computational fluid dynamics.Physics of Fluids, 37(3):035120, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.527285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f996639-dc02-416d-b8a0-405bf8d942e3 · outbound

This paper cites Kumar, G.

Physics-Audited Agentic Discovery in Scientific Machine Learning Kumar, G

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-09T12:56:14.900855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0baaa853-8792-412d-91f4-89b41549b83a · outbound

This paper cites AgenticSciML: collaborative multi-agent systems for emergent discovery in scientific machine learning.npj Artificial Intelligence, 2026.

Physics-Audited Agentic Discovery in Scientific Machine Learning AgenticSciML: collaborative multi-agent systems for emergent discovery in scientific machine learning.npj Artificial Intelligence, 2026

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.537198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5e279cf2-126a-4ce1-b8a3-59a9e0873bf2 · outbound

This paper cites ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms.

Physics-Audited Agentic Discovery in Scientific Machine Learning ATHENA: Agentic Team for Hierarchical Evolutionary Numerical Algorithms

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:56:14.905383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4f6a87fc-9a40-449c-815c-c3ce4a69c9e8 · outbound

This paper cites GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms.

Physics-Audited Agentic Discovery in Scientific Machine Learning GRAFT-ATHENA: Self-Improving Agentic Teams for Autonomous Discovery and Evolutionary Numerical Algorithms

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-09T12:56:14.912252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6eb37f72-c743-4980-8f65-01786a438971 · outbound

This paper cites PINNsAgent: Automated PDE surrogation with large language models.

Physics-Audited Agentic Discovery in Scientific Machine Learning PINNsAgent: Automated PDE surrogation with large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.516807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2992c467-e0e3-4d93-8b78-7384783f603e · outbound

This paper cites Lang-PINN: From language to physics-informed neural networks via a multi-agent framework.

Physics-Audited Agentic Discovery in Scientific Machine Learning Lang-PINN: From language to physics-informed neural networks via a multi-agent framework

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-09T12:56:14.911700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5bdf03c5-3c26-4aad-b8ca-f4a3e8f92433 · outbound

This paper cites an unresolved cited work.

Physics-Audited Agentic Discovery in Scientific Machine Learning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-07-09T12:56:15.519526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1728eec4-afa2-43a0-a5c5-e4a34ff47e49 · outbound

This paper cites Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs.

Physics-Audited Agentic Discovery in Scientific Machine Learning Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.524490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f08c88e-22f3-4918-8904-e447f5020aff · outbound

This paper cites Karniadakis.

Physics-Audited Agentic Discovery in Scientific Machine Learning Karniadakis

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.508062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ea7cec9f-1159-437d-807f-afea8c81a465 · outbound

This paper cites Learning the solution operator of parametric partial differential equations with physics-informed DeepONets.Science Advances, 7(40), 2021.

Physics-Audited Agentic Discovery in Scientific Machine Learning Learning the solution operator of parametric partial differential equations with physics-informed DeepONets.Science Advances, 7(40), 2021

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.553547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5298ca9-ff44-4bf4-a4cd-e3c68e3855eb · outbound

This paper cites Physics-Informed Neural Operator for Learning Partial Differential Equations.ACM/IMS Journal of Data Science, 1(3):1–27, 2024.

Physics-Audited Agentic Discovery in Scientific Machine Learning Physics-Informed Neural Operator for Learning Partial Differential Equations.ACM/IMS Journal of Data Science, 1(3):1–27, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.555503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a91d0b89-ca42-43cd-a464-e615a473c03e · outbound

This paper cites MIONet: Learning multiple-input operators via tensor product.SIAM Journal on Scientific Computing, 44(6):A3490–A3514.

Physics-Audited Agentic Discovery in Scientific Machine Learning MIONet: Learning multiple-input operators via tensor product.SIAM Journal on Scientific Computing, 44(6):A3490–A3514

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.507147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e9a1997-77f8-4f8f-b88c-fb95d19c7017 · outbound

This paper cites A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data.Computer Methods in Applied Mechanics and Engineering, 393, 2022.

Physics-Audited Agentic Discovery in Scientific Machine Learning A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data.Computer Methods in Applied Mechanics and Engineering, 393, 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.505933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6fa654a5-d333-4023-9294-4af61e489c96 · outbound

This paper cites Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.Journal of Machine Learning Research, 24(388):1–26, 2023.

Physics-Audited Agentic Discovery in Scientific Machine Learning Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.Journal of Machine Learning Research, 24(388):1–26, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.566188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ac6103ac-4ee5-4982-94dc-81af35dd2fb3 · outbound

This paper cites an unresolved cited work.

Physics-Audited Agentic Discovery in Scientific Machine Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-07-09T12:56:15.557452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ed41c800-8d7b-48af-abd3-73826a993294 · outbound

This paper cites Abueidda, Seid Koric, Nahil A.

Physics-Audited Agentic Discovery in Scientific Machine Learning Abueidda, Seid Koric, Nahil A

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.517848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f93d7f6f-3cef-4755-82b7-115b137e1b0e · outbound

This paper cites Abueidda, Syed Bahauddin Alam, and Seid Koric.

Physics-Audited Agentic Discovery in Scientific Machine Learning Abueidda, Syed Bahauddin Alam, and Seid Koric

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.495588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9acd9d1a-54cf-4432-96a9-d69fb97780a3 · outbound

This paper cites Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks.Journal of Computing and Information Science in Engineering, 20(1), 2020.

Physics-Audited Agentic Discovery in Scientific Machine Learning Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks.Journal of Computing and Information Science in Engineering, 20(1), 2020

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.501574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation baa3c6a0-d0ee-4aad-a25f-9870f53190df · outbound

This paper cites A deep energy method for finite deformation hyperelasticity.European Journal of Mechanics - A/Solids, 80, 2020.

Physics-Audited Agentic Discovery in Scientific Machine Learning A deep energy method for finite deformation hyperelasticity.European Journal of Mechanics - A/Solids, 80, 2020

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.592228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c92a2d31-ab15-4c3b-96e8-3d7ef2fe59a7 · outbound

This paper cites A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials.Computer Methods in Applied Mechanics and Engineering, 391, 2022.

Physics-Audited Agentic Discovery in Scientific Machine Learning A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials.Computer Methods in Applied Mechanics and Engineering, 391, 2022

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.491238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7627bb7e-8a44-4d60-b97c-f92a45052db8 · outbound

This paper cites Kovachki, and Andrew M.

Physics-Audited Agentic Discovery in Scientific Machine Learning Kovachki, and Andrew M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.584335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0879c56-6b88-4e0b-aea8-7c128201e656 · outbound

This paper cites Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network.Journal of Computational Physics, 469, 2022.

Physics-Audited Agentic Discovery in Scientific Machine Learning Nonlocal kernel network (NKN): A stable and resolution-independent deep neural network.Journal of Computational Physics, 469, 2022

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.493425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1b54cbed-d497-486d-8631-51fd82a1c451 · outbound

This paper cites Abueidda, Mbebo Nonna, Panos Pantidis, and Mostafa E.

Physics-Audited Agentic Discovery in Scientific Machine Learning Abueidda, Mbebo Nonna, Panos Pantidis, and Mostafa E

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.494296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 34b77dae-5af4-4686-b18c-678144f8b737 · outbound

This paper cites Geom-DeepONet: A point-cloud-based deep operator network for field predictions on 3D parameterized geometries.Computer Methods in Applied Mechanics and Engineering, 429, 2024.

Physics-Audited Agentic Discovery in Scientific Machine Learning Geom-DeepONet: A point-cloud-based deep operator network for field predictions on 3D parameterized geometries.Computer Methods in Applied Mechanics and Engineering, 429, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.492164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a77b233-771a-4f18-88c6-d6d0353671d3 · outbound

This paper cites Mobasher.

Physics-Audited Agentic Discovery in Scientific Machine Learning Mobasher

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.484356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9b339723-0da2-46ed-bcff-14459c7a2ad1 · outbound

This paper cites Amin, Diab W.

Physics-Audited Agentic Discovery in Scientific Machine Learning Amin, Diab W

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.541756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation daa28b8f-676a-481d-ae3f-9323a3973c2d · outbound

This paper cites Bock, Roland C.

Physics-Audited Agentic Discovery in Scientific Machine Learning Bock, Roland C

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.586311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e0287d7c-4c0c-4b63-b969-f0e0eff96efc · outbound

This paper cites Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture.

Physics-Audited Agentic Discovery in Scientific Machine Learning Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture

Reference 36

Resolution: metadata mismatch; local_arxiv, observed 2026-07-09T12:56:14.902611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cb4e742e-aa6e-4b1d-abf3-a0fe92a25ebb · outbound

This paper cites Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes.

Physics-Audited Agentic Discovery in Scientific Machine Learning Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.578805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92783dfe-4c61-44a1-865b-6b4a67e860ba · outbound

This paper cites Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D.

Physics-Audited Agentic Discovery in Scientific Machine Learning Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.580547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 056db3f4-27f1-4e9a-b2d9-1bb2244ceab9 · outbound

This paper cites Towards end-to-end automation of AI research.Nature, 651(8107):914–919, 2026.

Physics-Audited Agentic Discovery in Scientific Machine Learning Towards end-to-end automation of AI research.Nature, 651(8107):914–919, 2026

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.577360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8797bd21-79c3-4c83-8fc3-dfa4bf4cf3ea · outbound

This paper cites Narasimhan, and Yuan Cao.

Physics-Audited Agentic Discovery in Scientific Machine Learning Narasimhan, and Yuan Cao

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.580964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55d6bd8c-d080-4085-85c7-04119a751d6e · outbound

This paper cites Tenenbaum, and Igor Mordatch.

Physics-Audited Agentic Discovery in Scientific Machine Learning Tenenbaum, and Igor Mordatch

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.576876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 06560ad4-fb81-4019-80ed-ab6faee9bbeb · outbound

This paper cites CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society.

Physics-Audited Agentic Discovery in Scientific Machine Learning CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.582572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff4da646-694d-496e-9177-8fe223a38472 · outbound

This paper cites White, Doug Burger, and Chi Wang.

Physics-Audited Agentic Discovery in Scientific Machine Learning White, Doug Burger, and Chi Wang

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.590289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0cfb1d8f-7efe-4e9b-8921-c87a1d2f08c4 · outbound

This paper cites MetaGPT: Meta programming for A multi-agent collaborative framework.

Physics-Audited Agentic Discovery in Scientific Machine Learning MetaGPT: Meta programming for A multi-agent collaborative framework

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.588454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f879cbd7-f6c7-45e3-86f8-ac7827d9c00a · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Physics-Audited Agentic Discovery in Scientific Machine Learning Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.569953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 39b3ab21-3061-4e2a-97f5-72dd21058a85 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Physics-Audited Agentic Discovery in Scientific Machine Learning Xing, Hao Zhang, Joseph E

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.553063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec3eddfb-7890-415b-b108-faa969c8a5fc · outbound

This paper cites Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data.Journal of Computational Physics, 394:56–81, 2019.

Physics-Audited Agentic Discovery in Scientific Machine Learning Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data.Journal of Computational Physics, 394:56–81, 2019

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.551080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b7bfc75a-4978-49f9-b27d-07d3da064f1b · outbound

This paper cites an unresolved cited work.

Physics-Audited Agentic Discovery in Scientific Machine Learning Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-07-09T12:56:15.558019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0ce5ea3f-5e2e-4544-9fc0-ae413003d1ba · outbound

This paper cites Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems.Physical Review Letters, 126(9), 2021.

Physics-Audited Agentic Discovery in Scientific Machine Learning Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems.Physical Review Letters, 126(9), 2021

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.560033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69527554-d3a2-4d25-ac12-c4cec909b320 · outbound

This paper cites Dill, Kyle Julian, and Mykel J.

Physics-Audited Agentic Discovery in Scientific Machine Learning Dill, Kyle Julian, and Mykel J

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.562004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 02d8a2fd-ae9c-413a-9955-3165738c27f4 · outbound

This paper cites Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zelji´c, David L.

Physics-Audited Agentic Discovery in Scientific Machine Learning Huang, Duligur Ibeling, Kyle Julian, Christopher Lazarus, Rachel Lim, Parth Shah, Shantanu Thakoor, Haoze Wu, Aleksandar Zelji´c, David L

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.563939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ec733d48-60d6-472c-b509-9983aca885e8 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

Physics-Audited Agentic Discovery in Scientific Machine Learning Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.568112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ab8a687-6fde-4a67-b7bd-3166a16be060 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Physics-Audited Agentic Discovery in Scientific Machine Learning Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.544361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8355f79e-de74-47b9-8367-3f9a74a81c91 · outbound

This paper cites Psaros, Xuhui Meng, Zongren Zou, Ling Guo, and George Em Karniadakis.

Physics-Audited Agentic Discovery in Scientific Machine Learning Psaros, Xuhui Meng, Zongren Zou, Ling Guo, and George Em Karniadakis

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T12:56:15.548879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers