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Paper Citation Record · LEDGER

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys

As of 12 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2608.08071.

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

pith.paper-citation-record.v1
2608.08071 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:31:15.801114Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

32 of 32 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8b9a643-63d9-4524-bbad-21ad22ead1fa · outbound

This paper cites Kawamura, K.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Kawamura, K

Reference 1

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verified exact
doi, observed 2026-08-12T00:31:16.072547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f287b991-665c-4247-8282-9caea1c6a40c · outbound

This paper cites Hagihara, N.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Hagihara, N

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 91f7be7d-be3b-4090-9113-de214f645497 · outbound

This paper cites Briffod, Y.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Briffod, Y

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 82556dc1-180a-4dfb-bae5-993601bbae82 · outbound

This paper cites Harjo, W.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Harjo, W

Reference 4

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Observation b9836fc9-0292-4f4d-b741-09565fa020bf · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 5

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verified exact
doi, observed 2026-08-12T00:31:16.048669Z

Source-reported events for the cited work

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Observation e8f5d356-c070-404a-966c-05ec421354d1 · outbound

This paper cites Dahdah, N.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Dahdah, N

Reference 6

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation a7ce7d6a-247e-451b-b0be-971e2cbd73de · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 7

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ade9db2f-5338-4fc1-b82d-44ac263203a4 · outbound

This paper cites Lee, R.B.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Lee, R.B

Reference 8

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c4140b03-3e55-4c38-a05f-5752123e7748 · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 9

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metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0448e869-936f-4bbe-98f8-0fb35537cf9f · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 661ad1c0-9a2f-4e4b-a650-b4c924a91895 · outbound

This paper cites Kimura, I.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Kimura, I

Reference 11

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Observation 4f4eec4e-d575-4d51-b737-3ca4a52f6922 · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 12

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ed86e13c-120b-4f3d-b1c8-9b963aee9f37 · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 0731e96e-ded4-4183-9726-5e5884e3218a · outbound

This paper cites Song, B.A.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Song, B.A

Reference 14

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 44adfc65-5314-428a-bff0-4dff688e81af · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 15

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation b9236eb6-6bb6-466c-b294-ed0c16e5275e · outbound

This paper cites Arganda-Carreras, V.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Arganda-Carreras, V

Reference 16

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verified exact
doi, observed 2026-08-12T00:31:15.965481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 2c9869b3-890e-4ae8-8090-8fe62dafbab4 · outbound

This paper cites Schindelin, I.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Schindelin, I

Reference 17

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unresolved
no resolver link, observed 2026-08-12T00:31:15.734648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8dc98bbb-0d6f-4852-86a7-f569f675462a · outbound

This paper cites Obayashi, T.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Obayashi, T

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9759aeeb-79fa-4097-893f-99b74565ae06 · outbound

This paper cites Kalidindi, S.R.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Kalidindi, S.R

Reference 19

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Unavailable: canonical work link unavailable.

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Observation c38992e3-0f41-4c20-8d2d-d96dd59ac6b1 · outbound

This paper cites Cecen, S.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Cecen, S

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e12bc922-d10b-40d1-8c99-2f30fa393250 · outbound

This paper cites Captum: A unified and generic model interpretability library for PyTorch.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Captum: A unified and generic model interpretability library for PyTorch

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89940db9-275a-482d-ba4f-da61095f49e3 · outbound

This paper cites Shiraishi, T.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Shiraishi, T

Reference 22

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3a5294f7-bdc5-4b22-bd9f-ce14e7942375 · outbound

This paper cites Nicholson, V.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Nicholson, V

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 742a4f01-856c-46fb-a8fd-c13f3706933b · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 24

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ebd06d02-5a1c-492b-9507-35588f6de534 · outbound

This paper cites Obayashi, Y.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Obayashi, Y

Reference 25

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d56e27e3-13c1-4201-afcf-5b90cbf031c0 · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 473a2e2d-5fa7-4889-8b32-9609523835d2 · outbound

This paper cites Zubair, S.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Zubair, S

Reference 27

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Observation d9446d45-7d82-454e-bbeb-b08e2576f334 · outbound

This paper cites Shibata, I.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Shibata, I

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ea84c805-0195-4c71-b33f-6aded449310a · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e033d87-6550-4c4f-8ffe-7df4efbb4eea · outbound

This paper cites an unresolved cited work.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Unresolved cited work

Reference 30

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e0063f9a-c93d-48e7-a3cf-2bde684803c9 · outbound

This paper cites Zhang, L.-W.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Zhang, L.-W

Reference 31

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 4b91ad67-4eb3-4bbb-85e1-f9f6583d986c · outbound

This paper cites Shiraiwa, F.

Multimodal deep learning framework to predict strain localization of Mg/LPSO two-phase alloys Shiraiwa, F

Reference 32

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.