Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy | Paper Citation Record

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This paper cites A., Xu, Y.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy A., Xu, Y

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This paper cites & White, H.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & White, H

Reference 2

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This paper cites & Kim, J.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Kim, J

Reference 3

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 4

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This paper cites & Grossman, J.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Grossman, J

Reference 5

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This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 6

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 7

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This paper cites & Kang, N.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Kang, N

Reference 8

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Observation e1a1d2b0-d29d-4282-9b70-77d38bcce8f4 · outbound

This paper cites & Ryu, S.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Ryu, S

Reference 9

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This paper cites & Ryu, S.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Ryu, S

Reference 10

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This paper cites & Ryu, S.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Ryu, S

Reference 11

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This paper cites -Y., Kim, H., Nam, K., Kang, D.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy -Y., Kim, H., Nam, K., Kang, D

Reference 12

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This paper cites & Ryu, S.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Ryu, S

Reference 13

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 14

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

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This paper cites & Ryu, S.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Ryu, S

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Observation 0c4ca525-7130-4ec5-9945-6ccb0dc07cbc · outbound

This paper cites How Can Large Language Models Help Humans in Design and Manufacturing?.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy How Can Large Language Models Help Humans in Design and Manufacturing?

Reference 17

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This paper cites Large Language Models for Manufacturing.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Large Language Models for Manufacturing

Reference 18

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This paper cites & Meierhofer, J.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Meierhofer, J

Reference 19

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This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 20

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This paper cites Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications

Reference 21

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 22

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This paper cites J., Rzonca, A., Lakhnori, R.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy J., Rzonca, A., Lakhnori, R

Reference 23

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This paper cites F., Chang, Q., Gao, R.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy F., Chang, Q., Gao, R

Reference 24

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This paper cites X., Krüger, J., Merklein, M., Möhring, H.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy X., Krüger, J., Merklein, M., Möhring, H

Reference 25

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This paper cites Analytical Benchmark Problems for Multifidelity Optimization Methods.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Analytical Benchmark Problems for Multifidelity Optimization Methods

Reference 26

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This paper cites & Rasmussen, C.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Rasmussen, C

Reference 27

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This paper cites & Ryu, S.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Ryu, S

Reference 28

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 29

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Karniadakis, G

Reference 30

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 31

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Juanes, R

Reference 32

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Karniadakis, G

Reference 33

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This paper cites Automatic differentiation in machine learning: a survey.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Automatic differentiation in machine learning: a survey

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Mahoney, M

Reference 35

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This paper cites & Karniadakis, G.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Karniadakis, G

Reference 36

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 37

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This paper cites Physics-Informed Deep Neural Operator Networks.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Physics-Informed Deep Neural Operator Networks

Reference 38

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Perdikaris, P

Reference 39

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 40

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 41

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 42

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy S., Reynvaan, J

Reference 43

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Wang, F

Reference 45

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 46

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Observation c5e65a59-c7fb-4fe0-83e8-a4e4b752943e · outbound

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Exploring Physics-Informed Neural Networks: From Fundamentals to Applications in Complex Systems

Reference 47

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 48

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 49

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Observation 864f5bc9-4c08-4bb7-a6f5-64222e730d21 · outbound

This paper cites CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy CAD-Llama: Leveraging Large Language Models for Computer-Aided Design Parametric 3D Model Generation

Reference 50

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Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation

Reference 51

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This paper cites M., Man, B.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy M., Man, B

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:53.660776Z

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Observation fa154f5e-ea5b-4509-8b30-75b14897fef4 · outbound

This paper cites Large Language Model Agent as a Mechanical Designer.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Large Language Model Agent as a Mechanical Designer

Reference 53

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This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:53.343682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5ab8c28f-7e98-45d0-8b1e-3dd26fd7e3a5 · outbound

This paper cites Designs that fit.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Designs that fit

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:53.096200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e870e5b-a135-4501-b434-7a2098f2fa27 · outbound

This paper cites Designing the User Interface: Strategies for Effective Human - Computer Interaction.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Designing the User Interface: Strategies for Effective Human - Computer Interaction

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:52.866820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 310a6e75-9415-4061-917c-a79bcf13c748 · outbound

This paper cites Usability Engineering, Morgan Kaufmann Publishers Inc.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Usability Engineering, Morgan Kaufmann Publishers Inc

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:52.562795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce2df20d-7d56-4280-867c-9761a48cc391 · outbound

This paper cites & Zaraki, A.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Zaraki, A

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:52.390001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be984978-38fc-41bc-9cbc-7bc907a7c8de · outbound

This paper cites & Liu, A.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Liu, A

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:52.161767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7c13b48-a6d9-43ad-b5d9-ef8819b0f3c8 · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:51.954304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 015f351e-c21a-40c0-a602-3187d54f00c5 · outbound

This paper cites Knowledge Sharing in Manufacturing using Large Language Models: User Evaluation and Model Benchmarking.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Knowledge Sharing in Manufacturing using Large Language Models: User Evaluation and Model Benchmarking

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:53:46.944362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3423f2e-3fe0-43ff-91f6-358f4e864166 · outbound

This paper cites & Farimani, A.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Farimani, A

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:51.680518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8ad3b903-13c2-4fa4-b1da-18822d378fad · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:51.393749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09a33ba0-2c6b-4b0e-9ad7-755b87415d2e · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:51.060239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation decf3ae1-8f7a-4ff7-91b0-468dc0085ab7 · outbound

This paper cites & Weyrich, M.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Weyrich, M

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:50.749055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e01b084-2666-4059-9c3c-95e538250f0b · outbound

This paper cites & Mercangöz, M.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Mercangöz, M

Reference 66

Resolution: verified exact; doi, observed 2026-08-07T12:53:46.619698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46efec45-c6db-4120-9233-99d98260ad30 · outbound

This paper cites & Kovalenko, I.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Kovalenko, I

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:50.474969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dfa98354-1290-4aa4-9c18-849d724ff166 · outbound

This paper cites & Farimani, A.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Farimani, A

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:41.803813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772f45ef-17fd-4069-983b-420cc15fbc0c · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:50.151282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3b00599f-6e09-44a9-896d-9a881ef0c3fa · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:49.851893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 78a10724-4731-4b8d-80bc-c64983098631 · outbound

This paper cites Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:42.259489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc8a556a-3732-4473-aa09-497f450b9f9b · outbound

This paper cites AFlow: Automating Agentic Workflow Generation.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy AFlow: Automating Agentic Workflow Generation

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:42.366828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d0f963a-8115-49ad-b7e5-69fdb0214bd6 · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:42.499714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c710d174-ab39-4ac4-b328-590c37fa6825 · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 74

Resolution: verified exact; doi, observed 2026-08-07T12:53:45.878856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1045a281-9a3a-418e-97ff-df4ef4da2535 · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:49.597185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 64c1bae5-2859-4959-a836-e693d89ba136 · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 76

Resolution: verified exact; doi, observed 2026-08-07T12:53:45.465453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation efb361de-cc3a-44c4-84c7-beb71e45cb6c · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:49.265639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6740c098-c279-4622-8a08-c22fefd44c35 · outbound

This paper cites It’s a Fair Game.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy It’s a Fair Game

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:43.242462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5d1c4f-22c4-4e59-9a4c-b61605a22c17 · outbound

This paper cites an unresolved cited work.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:53:48.860553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2ea9027f-39eb-4218-aa21-2dd8015ae818 · outbound

This paper cites DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:53:45.077926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1714c3fc-5b79-480b-a81a-ea8e79072ac5 · outbound

This paper cites & Lucchetta, G.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy & Lucchetta, G

Reference 81

Resolution: verified exact; doi, observed 2026-08-07T12:53:44.797801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4c6f39db-066d-4ccc-9e1b-ce8617c8abc2 · outbound

This paper cites Physics-Informed Neural Networks for Inverse Modeling of Viscosity in Injection Molding.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy Physics-Informed Neural Networks for Inverse Modeling of Viscosity in Injection Molding

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:53:48.530079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05951712-8f5d-4e80-90c7-e52c5e3a5e67 · outbound

This paper cites -Y., Kim, H., Lee, I.

Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy -Y., Kim, H., Lee, I

Reference 83

Resolution: verified exact; doi, observed 2026-08-07T12:53:44.477535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers