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Paper Citation Record · LEDGER

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model

As of 19 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2504.14143.

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

pith.paper-citation-record.v1
2504.14143 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:02:26.588831Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

30 of 30 outbound references displayed

  • verified exact7
  • verified fuzzy3
  • unresolved16
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2fca271-6949-4f47-9840-107c9ada49db · outbound

This paper cites Prathap, Introduction, Springer Netherlands, Dordrecht, 1993, pp.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Prathap, Introduction, Springer Netherlands, Dordrecht, 1993, pp

Reference 1

Resolution
verified exact
doi, observed 2026-08-16T12:02:26.677511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 569906f0-0822-4b12-975e-88edef14096e · outbound

This paper cites Zhang, J.-M.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Zhang, J.-M

Reference 2

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T12:02:27.471535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 52224c97-1c70-42c1-8ea5-24b0e1f80239 · outbound

This paper cites Learning Mesh-Based Simulation with Graph Networks.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Learning Mesh-Based Simulation with Graph Networks

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T12:02:26.479070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2c888f73-4954-4394-a7f0-13f0f7646b50 · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T12:02:26.483407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:02:26.483407Z digest=sha256:8395302b9e9df8e41551d71264baf8831be9b33da7be5c4e6b366dc694a867dc

Observation bd6d781c-ae3d-4216-a42f-9df3e8807623 · outbound

This paper cites CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields

Reference 5

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no resolver link, observed 2026-08-16T12:02:26.487410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:02:26.487410Z digest=sha256:7e15e3f141a5c29949766bd6932d3fbcd03a378ead47ef326f7caac9325abb99

Observation 743f7f2f-2312-461a-99b1-528da0a1e818 · outbound

This paper cites P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T12:02:26.492269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:02:26.492269Z digest=sha256:f325a07448135b3bda304e2217765fec6aee3afaa9ec5bf8e5abf01bba169588

Observation 90d12060-3614-4861-9486-86aac6a941e8 · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:02:27.557929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 53ce184d-0eb4-44ce-83c8-bc20d2015e4f · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-08-16T12:02:26.665230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation b9ea6912-0746-4f99-a0f6-eb6584e26720 · outbound

This paper cites DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling

Reference 9

Resolution
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no resolver link, observed 2026-08-16T12:02:26.504651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e34e57bb-0139-4d55-b2f9-ce868609e9d9 · outbound

This paper cites Distributed Quantum Approximate Optimization Algorithm on a Quantum-Centric Supercomputing Architecture.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Distributed Quantum Approximate Optimization Algorithm on a Quantum-Centric Supercomputing Architecture

Reference 10

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no resolver link, observed 2026-08-16T12:02:26.509113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1237e10b-c9c1-4a9f-bef9-209c8a9a6890 · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-16T12:02:26.514271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 64098694-ae7e-4076-9a96-b73cbdaceb65 · outbound

This paper cites Akhare, Z.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Akhare, Z

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:02:27.545371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 293acf27-a225-4fe3-9918-57c3af76dd59 · outbound

This paper cites Akhare, T.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Akhare, T

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T12:02:26.522481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 43719f3c-f18a-4853-a86b-cea3f87752bb · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T12:02:26.525981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f9b15f1-e462-480e-8694-71de137f9007 · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-08-16T12:02:26.652285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation df11846a-8e10-4450-b394-4859feb2b6dc · outbound

This paper cites Maurizi, C.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Maurizi, C

Reference 16

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malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 90f7598b-c33a-4d1a-8bb2-9113aa13c696 · outbound

This paper cites Yacouti, M.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Yacouti, M

Reference 17

Resolution
metadata mismatch
raw_fallback, observed 2026-08-16T12:02:27.095212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation d5abcf93-3a63-480d-a63c-d6cf87942817 · outbound

This paper cites An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:02:27.029958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 91a04886-94f2-497e-9e47-8088a2f5f0a0 · outbound

This paper cites Yacouti, M.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Yacouti, M

Reference 19

Resolution
verified exact
doi, observed 2026-08-16T12:02:26.638702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7e8d62b2-4d40-4b1b-8fb4-67de5bc7dd2f · outbound

This paper cites Sepasdar, A.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Sepasdar, A

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0c192555-9c95-4b8e-a120-36cc3c5f4c33 · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 21

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 94afd0c9-b14d-4c04-bdcb-c17ff5d314de · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 858f16cc-b3e5-46f7-9974-5dfc0c55ad09 · outbound

This paper cites Sepasdar, M.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Sepasdar, M

Reference 24

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unresolved
no resolver link, observed 2026-08-16T12:02:26.565114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 290b42ae-0c8e-40ff-82f6-88bbe7237b4e · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 25

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unresolved
no resolver link, observed 2026-08-16T12:02:26.568418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2eb6f03-2dbc-4f53-97ce-56d34a7b88f5 · outbound

This paper cites Ganaie, M.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Ganaie, M

Reference 26

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unresolved
no resolver link, observed 2026-08-16T12:02:26.571566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 615c2de1-2aaf-4be3-a0c6-036646255502 · outbound

This paper cites Crack-Net: Prediction of Crack Propagation in Composites.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Crack-Net: Prediction of Crack Propagation in Composites

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:02:26.890907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 83fab8f5-86a4-40ac-bfe2-17b62477c5f2 · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 28

Resolution
verified exact
doi, observed 2026-08-16T12:02:26.625103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 693eeac9-b5d4-4e19-9830-cff1a30c9325 · outbound

This paper cites Ortiz, A.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Ortiz, A

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:02:27.518043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7245257f-5ed3-49c2-9f26-9db27feea3aa · outbound

This paper cites Sepasdar, M.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Sepasdar, M

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:02:27.503496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 628f967e-762c-4dd5-8a2d-7ea0d1c3a043 · outbound

This paper cites an unresolved cited work.

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-16T12:02:27.484166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.