Paper Citation Record · LEDGER

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations

As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.05354.

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

pith.paper-citation-record.v1
2505.05354 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:11:27.536911Z

measured 35 of 35 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T15:18:46.219931Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy15
unresolved19
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f82e003-85b1-4ddb-9eed-c8f620fa842a · outbound

This paper cites Choudhary, B.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Choudhary, B

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.261858Z

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 c66273a4-af92-4e52-80af-596aa5dafaab · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:28.246128Z

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 5f494aa0-86a5-49ae-8878-013b7523fd72 · outbound

This paper cites Bernacki, Kinetic equations and level-set approach for simulating solid-state microstructure evolutions at the mesoscopic scale: State of the art, limitations, and prospects, Prog.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Bernacki, Kinetic equations and level-set approach for simulating solid-state microstructure evolutions at the mesoscopic scale: State of the art, limitations, and prospects, Prog

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.229804Z

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 821ab786-b900-4112-9180-d4fea4c11fa6 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:28.213096Z

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

Observation 35846bbb-1582-4cd0-a2d8-66581fc793a2 · outbound

This paper cites Bhattacharya, Y .-F.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Bhattacharya, Y .-F

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.197798Z

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 112676bb-7229-4898-a4fd-bdf4a96ac27f · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:28.181567Z

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 885d7d99-da51-4688-90ed-c900252e47e1 · outbound

This paper cites Florez, K.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Florez, K

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.164717Z

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 726993e5-5945-4c36-bd77-9dab6edc908c · outbound

This paper cites Why Grain Growth is Not Curvature Flow.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Why Grain Growth is Not Curvature Flow

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52ec7daf-b93a-4b47-9b48-df7ffdbfee51 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:28.148848Z

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 1498eb96-80bd-4025-bbe6-720609c94b2d · outbound

This paper cites Janssens, An introductory review of cellular automata modeling of moving grain boundaries in polycrystalline materials, Math.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Janssens, An introductory review of cellular automata modeling of moving grain boundaries in polycrystalline materials, Math

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.132599Z

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 33c5d182-553a-4497-befd-f58ad2e94576 · outbound

This paper cites Golab, M.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Golab, M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.115834Z

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 210112ef-3351-496e-9dfa-e5257d2c5a13 · outbound

This paper cites Moelans, B.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Moelans, B

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.099931Z

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 50a51b6a-a58d-4b54-8d5f-3ed492e72232 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:28.083595Z

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 7cf03b42-a291-40e6-bd5b-8f029c197b7c · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:28.065438Z

Source-reported events for the cited work

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Observation 690e86a3-ed79-43c4-b1c2-6f73477baee5 · outbound

This paper cites Florez, K.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Florez, K

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.046688Z

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 be5a18d4-de64-4727-8213-27d7c89b2675 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:28.029610Z

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 9157b749-fe13-404b-a92f-9208910c42c7 · outbound

This paper cites Hallberg, V.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Hallberg, V

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:28.007804Z

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 8a345d16-782c-4161-86bc-59716513414d · outbound

This paper cites Himanen, A.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Himanen, A

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:27.981641Z

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 67dacd48-3dce-42b5-8fc7-a3af21cd368a · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:27.957650Z

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 fab2f71c-5e09-4797-b69e-448ef919be75 · outbound

This paper cites Ahmad, N.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Ahmad, N

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:27.928350Z

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 d296699f-86b3-479e-b7cf-36cbc1831044 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:27.908547Z

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 c5bea5ec-169d-454a-b34d-ef8c13aca6aa · outbound

This paper cites Florez, J.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Florez, J

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:11:27.470397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ea5c47-1096-47e3-91f2-498389cca9c3 · outbound

This paper cites Hitti, P.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Hitti, P

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:27.869017Z

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 2541ca0a-002f-47a8-91b7-c617ebee840d · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a65aadc-3e5b-4005-a138-32fd5d812aa2 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:27.834747Z

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 579f5f73-caf3-4f45-9d68-2eddcb0db649 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:27.809764Z

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

Observation e02a3b72-985b-46a8-8b48-bffe31c9ec95 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:27.788949Z

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 2f4d8db8-6410-4925-a464-59bf49dcde20 · outbound

This paper cites Kervadec, J.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Kervadec, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:27.762194Z

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 2069693d-5d9f-480d-9c51-1a20d0cb6dfe · outbound

This paper cites Decoupled Weight Decay Regularization.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Decoupled Weight Decay Regularization

Reference 29

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Source-reported events for the cited work

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Observation 28f7b0d7-a6d3-4fa5-8082-df45a11a9f5a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Adam: A Method for Stochastic Optimization

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c24a3b-d171-420f-8c66-e4e0e6bdbf52 · outbound

This paper cites Kullback, R.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Kullback, R

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:27.740153Z

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 9e3a0609-ea3f-406c-a360-ba20165e456c · outbound

This paper cites Villani, Optimal transport: old and new, V ol.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Villani, Optimal transport: old and new, V ol

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:11:27.715821Z

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 081a59c9-6f7b-42c6-8e83-e49c247ce981 · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:27.687983Z

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 cfce5745-cdcb-4113-baf1-dded333a69af · outbound

This paper cites an unresolved cited work.

High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:11:27.663948Z

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

Observation c36b221f-7a3b-4839-9f4e-5a400a52aae6 · inbound

A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics cites this paper.

A Physics-Regulated Neural Framework for Learning 3D Grain Growth Dynamics High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-11T15:18:46.219931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.