Paper Citation Record · LEDGER

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems

As of 21 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.10941.

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

pith.paper-citation-record.v1
2608.10941 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:53:46.549984Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

48 of 48 outbound references displayed

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verified fuzzy28
unresolved19
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External citation measurements

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Outbound references

Observation 8a7870dd-f969-41ac-a305-4aa8573e7de4 · outbound

This paper cites Smart manufacturing must embrace big data.Nature544, 23–25 (2017).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Smart manufacturing must embrace big data.Nature544, 23–25 (2017)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:47.126105Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2980048b-e5c9-42c0-b9f5-1922cde5665c · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:47.115071Z

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Observation 2b3c616f-0279-4029-8624-c1179a3ebe6b · outbound

This paper cites & Wang, J.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Wang, J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:47.104072Z

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Observation 1cb6ecec-584f-47aa-84a8-fa25c278b577 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:47.093563Z

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Observation fefd3a18-6110-42a9-abe9-42ef2f21cd70 · outbound

This paper cites & Chen, X.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Chen, X

Reference 5

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Observation 84b9f072-5044-4da7-9744-0b3ed56e2fd8 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:47.072308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a9698af9-8f0a-4609-a16e-b1ca7e56682c · outbound

This paper cites A.et al.Active learning framework to optimize process parameters for additive- manufactured ti-6al-4v with high strength and ductility.Nature Communications16, 931 (2025).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems A.et al.Active learning framework to optimize process parameters for additive- manufactured ti-6al-4v with high strength and ductility.Nature Communications16, 931 (2025)

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:47.060810Z

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Observation b8fb38ec-c210-42aa-9321-56d7dc48ce8d · outbound

This paper cites & Huang, B.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Huang, B

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:47.049576Z

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Observation 75dcc679-a53d-4da3-97db-ea6f80492dc7 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:47.037874Z

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Observation dd420902-d8da-442f-80bd-c95141233519 · outbound

This paper cites & Zeng, P.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Zeng, P

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:47.025996Z

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Observation 92a028ce-29b6-458f-a81e-27eff08a6f40 · outbound

This paper cites & Zhao, C.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Zhao, C

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:47.015341Z

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Observation 7fc532cb-81d4-4540-912e-7f61bd83c030 · outbound

This paper cites V., Bowyer, K.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems V., Bowyer, K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:47.003515Z

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Observation a87bddb4-6e2d-4a46-a92d-4eb2d347334b · outbound

This paper cites & Viktor, H.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Viktor, H

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.991568Z

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Observation e8b32670-cb22-4c2f-ba36-801021c359bd · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.980937Z

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Observation 8442133c-5a41-49b4-a24f-678ac2e330bf · outbound

This paper cites Nature Machine Intelligence1–14 (2025).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Nature Machine Intelligence1–14 (2025)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.969309Z

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Observation 2fba8b18-c14c-46b5-8b5a-80a901722885 · outbound

This paper cites & Yang, C.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Yang, C

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.958524Z

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Observation d4e5ec78-351c-402a-b9c7-477c2416905a · outbound

This paper cites & Gui, W.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Gui, W

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.946868Z

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Observation 417774ce-0c49-41dd-9af3-5aca1b2d123b · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.934059Z

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Observation f809be70-ffea-426c-8f57-80d7ab883127 · outbound

This paper cites & He, Y.-L.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & He, Y.-L

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.921304Z

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Observation 6d4f68ef-f3ff-4c1f-aacf-3ed91c4ce9ba · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.908510Z

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Observation 6c7dcdff-6299-4fa7-9d42-871c20b75d9a · outbound

This paper cites & Laili, Y.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Laili, Y

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.895535Z

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Observation df33cef0-8645-467e-85cb-178eb92b2a6b · outbound

This paper cites DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems DDMT: Denoising Diffusion Mask Transformer Models for Multivariate Time Series Anomaly Detection

Reference 22

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Source-reported events for the cited work

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Observation b7ec459a-ca04-4b27-8f86-a9143b73249f · outbound

This paper cites & Catanzaro, B.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Catanzaro, B

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.883486Z

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Observation 6d3445d6-ac53-414c-9488-8592aeb42f07 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.869839Z

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Observation 80b5b876-b7e8-472e-b704-ed8998726ef0 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.856850Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1ecadd65-6413-485b-b2d2-0a82e7c54963 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.844312Z

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Observation b38fc18b-1989-4078-a4af-64c524d4a663 · outbound

This paper cites International Conference on Machine Learning(PMLR, 2024).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems International Conference on Machine Learning(PMLR, 2024)

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.831432Z

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Observation 05984904-51f0-49df-a2c6-b9b7e52bb0b0 · outbound

This paper cites https://cdn.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems https://cdn

Reference 28

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Observation ef7c1491-f039-4428-b693-17411287458e · outbound

This paper cites & Wang, Y.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Wang, Y

Reference 29

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Observation e801686f-bde5-43c6-b783-22072b9d363c · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.796426Z

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Observation 069db593-61eb-4d10-967e-de9c7c6462ea · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:53:46.784981Z

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Observation 214d2223-1d82-46a3-8e82-a3dc95caafba · outbound

This paper cites & Babenko, A.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Babenko, A

Reference 32

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Observation 9d67c3b7-ee0c-4b56-92b2-64fe065b4304 · outbound

This paper cites E.et al.Physics-informed machine learning.Nature Reviews Physics3, 422–440 (2021).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems E.et al.Physics-informed machine learning.Nature Reviews Physics3, 422–440 (2021)

Reference 33

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Source-reported events for the cited work

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Observation 827b6ef8-4d33-4c6c-8add-d38d9a0bae45 · outbound

This paper cites & Karniadakis, G.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Karniadakis, G

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.755320Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ec2b4096-631b-4ee9-93ac-f8f13a341add · outbound

This paper cites & Fink, O.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Fink, O

Reference 35

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Observation 6019730c-aa66-4314-9c9d-c2e380f2aa0c · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 36

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Observation 7b46da7c-37c8-43a0-a96a-092c70bf9a59 · outbound

This paper cites & Veeramachaneni, K.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Veeramachaneni, K

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.718618Z

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Observation 876c9f89-7b53-4ac2-b66e-35720a65dd46 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 38

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 04513f8b-3e86-45a5-aa4c-0ae7b8674fda · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31689794-3b34-47b0-963b-3878863ec2ea · outbound

This paper cites Nature Reviews Physics6, 320–328 (2024).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Nature Reviews Physics6, 320–328 (2024)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.684310Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c36dcc76-22e1-406b-9708-0c791de02649 · outbound

This paper cites ACM/IMS Journal of Data Science1, 1–27 (2024).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems ACM/IMS Journal of Data Science1, 1–27 (2024)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.673225Z

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Observation cc54ae50-5f0a-4e53-8c06-d2ce56f7d001 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 42

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Observation cdc8abd8-3a73-4272-902d-5e727e372b8b · outbound

This paper cites & Abbeel, P.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Abbeel, P

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.652101Z

Source-reported events for the cited work

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Observation eb8a2d1b-5375-4edb-b715-d1973355ee20 · outbound

This paper cites & Xie, S.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Xie, S

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.640511Z

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Observation 810758ad-69d3-40b4-a2c8-da4ef1c07bca · outbound

This paper cites & Qiao, Y.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems & Qiao, Y

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.628728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a68c983f-8f26-4da5-a8d8-de37e101ada3 · outbound

This paper cites J.AerodynamicsPitman aeronautical engineering series (Wiley, New York, 1975).

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems J.AerodynamicsPitman aeronautical engineering series (Wiley, New York, 1975)

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.616621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb60d717-d9ce-4bf3-8d04-8cee95873074 · outbound

This paper cites M., Hassen, M.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems M., Hassen, M

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:46.604202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2b1f6115-3e30-4610-8cf0-ce246fd6d2a5 · outbound

This paper cites an unresolved cited work.

Physics-informed Diffusion Generative Model for Time-Series Data Synthesis in Dynamic Systems Unresolved cited work

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.