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Paper Citation Record · LEDGER

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention

As of 21 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2501.08334.

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

pith.paper-citation-record.v1
2501.08334 v1

Coverage vector

measured 78 of 78 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:12:23.654030Z

measured 78 of 78 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

78 of 78 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ae63487-1b80-4fbe-96c1-8888ca95c836 · outbound

This paper cites Thapar, M.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Thapar, M

Reference 1

Resolution
verified fuzzy
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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.

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Observation e69f0bff-93d4-4194-84c9-2c2088eee0c1 · outbound

This paper cites Straub, B.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Straub, B

Reference 2

Resolution
verified fuzzy
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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.

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Observation dc2053a6-2a95-4528-ba05-66dfd9251d8e · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 3

Resolution
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raw_fallback, observed 2026-08-11T13:12:25.778042Z

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.

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Observation cb2a7e6b-7276-4496-9f97-81836735c2ed · outbound

This paper cites D’Souza, A.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention D’Souza, A

Reference 4

Resolution
verified fuzzy
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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.

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Observation 435c6cb5-4972-4d49-94fb-3ce69651d60a · outbound

This paper cites Kawatani, G.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Kawatani, G

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.726228Z

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.

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Observation d1e2232d-5068-4cc5-aa78-eadadc6f3d05 · outbound

This paper cites Khodosevich, C.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Khodosevich, C

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.703204Z

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.

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Observation c204707d-fc00-48b5-97f8-b4ac4f54f013 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 7

Resolution
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raw_fallback, observed 2026-08-11T13:12:25.679966Z

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.

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Observation eb6524ef-f61c-479f-96e4-45ed85bb3969 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 8

Resolution
unresolved
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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.

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Observation 20d9f112-01f9-42e7-b27a-7fe7fdfcd40e · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 9

Resolution
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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.

source=pdf_text observed=2026-08-11T13:12:23.086441Z digest=sha256:52ac4dbcef328b02dd93b4936e4e3ce7a8442f5098c8268d51c5e4c571786fb2

Observation e3511152-263e-4173-8a2a-3b5380c04962 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 10

Resolution
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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.

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Observation c9ccbcb0-b8ee-41d0-9022-bcbcf3378878 · outbound

This paper cites Isomura, K.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Isomura, K

Reference 11

Resolution
verified fuzzy
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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.

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Observation 8915e7ae-0fea-4bee-b5ff-530a7334cd93 · outbound

This paper cites Soriano, Neuronal cultures: exploring biophysics, complex systems, and medicine in a dish, Biophysica 3 (1) (2023) 181–202.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Soriano, Neuronal cultures: exploring biophysics, complex systems, and medicine in a dish, Biophysica 3 (1) (2023) 181–202

Reference 12

Resolution
verified fuzzy
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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.

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Observation a5041e48-c11a-473a-adfb-2960b765e649 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 13

Resolution
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raw_fallback, observed 2026-08-11T13:12:25.527035Z

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.

source=pdf_text observed=2026-08-11T13:12:23.112201Z digest=sha256:0e5c123c097c65ce4a6c4bd8687081d9d898c31c8bafdf8d25992117f57cdc7f

Observation c4c6aac2-f7b4-4764-8067-c75c072a4fb0 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.507807Z

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.

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Observation c7c970f7-0d70-4884-8a26-e5f664c03680 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.488476Z

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.

source=pdf_text observed=2026-08-11T13:12:23.128400Z digest=sha256:29f0476b819f5c3fbeec7fa7209baf7170bdc33498c4e68ef697e9b9af4c29fe

Observation 0866e799-26d2-484a-ae78-8926c3224cef · outbound

This paper cites Aeschlimann, L.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Aeschlimann, L

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.461515Z

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.

source=pdf_text observed=2026-08-11T13:12:23.135142Z digest=sha256:48db3b9acfc41ee275bc8e7dacadee941cb969b983bbcf6f795bfa9b2e8e06d9

Observation e57eeac0-0240-49f6-a290-5ed7d91686ee · outbound

This paper cites Cuntz, F.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Cuntz, F

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.433704Z

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.

source=pdf_text observed=2026-08-11T13:12:23.143818Z digest=sha256:600ba0d71724d1e0ecbc574b5163c0843d74b823c8af93d6bdb6548e59bfa92f

Observation 520da093-f518-4fdb-bb53-ec82175a2acc · outbound

This paper cites Torben-Nielsen, E.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Torben-Nielsen, E

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.408248Z

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.

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Observation 95b03ea1-e1cf-432b-803f-720a2441c8ea · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.375577Z

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.

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Observation c0cd65d6-d1b0-4fc5-8606-29e8ea9e6af9 · outbound

This paper cites van Ooyen, A.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention van Ooyen, A

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.347294Z

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.

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Observation f2c9bafb-c461-473b-b170-62f1b07eb287 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.319306Z

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.

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Observation 0c087eff-56d6-406c-b85f-33021923c393 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.178844Z digest=sha256:7a1074f394b17c54fd1d61230ca5880bc5bee02abc22697c86926e05c1a43cfc

Observation f830a0ab-4f5a-4094-8eac-02bc0acefbc4 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.186910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.186910Z digest=sha256:d67ad35e8ed4502819c3928a9b11435645b3bfbaf84c7017cdaa4acf28bd9783

Observation b9f5048e-b068-42f5-b0cc-9a7a5f880845 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.193769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.193769Z digest=sha256:26f89507a37cb2a1e3a1c30c7aad72822188bc059f4238c92e45dc5824accc56

Observation b410913d-8b19-4c6e-a164-8fd37a1c72b4 · outbound

This paper cites Takaki, K.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Takaki, K

Reference 25

Resolution
verified fuzzy
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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.

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Observation 64b90328-63fe-4656-bc15-f356c0bb2977 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.209961Z

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.

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Observation 650cdf26-449f-4441-968c-baa0d0a760e6 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.216413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dfad3074-eae0-4a98-8a23-dcced2758eca · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.163657Z

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.

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Observation 8732baed-9052-44fb-aecd-44ad1d15e8ec · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.136002Z

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.

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Observation a98c9348-2238-48f6-944e-15a37ef05866 · outbound

This paper cites Zhang, Y.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Zhang, Y

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.243664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.243664Z digest=sha256:08a4f257e0791e04c6f54ff255125cefdae6afd535ac8880eb2d2202d4066a8d

Observation 11e11238-7429-426a-aa51-38a408be8fbd · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.252089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.252089Z digest=sha256:60bc8ed0d2aa3de0ff87c2cbb4751080c6294af6e69e9049688dfd3d01194270

Observation c21c5d95-7b46-4f74-bdcf-17c5e49637ce · outbound

This paper cites Singh, E.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Singh, E

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.063210Z

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.

source=pdf_text observed=2026-08-11T13:12:23.272218Z digest=sha256:3f8d589f7afbe809365287b76479a23a4e7d0b54c76f99d8b8087295de732103

Observation e3d4e4b8-8cfa-4ad8-be82-1bfb7709b5b2 · outbound

This paper cites Jones, C.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Jones, C

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:25.040558Z

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.

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Observation f78db5b9-90df-4681-9f63-584362bf72ad · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:25.018713Z

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.

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Observation fa353831-1c54-4e73-88c1-f0ae9a403c07 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.992309Z

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.

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Observation d96c0366-d949-4286-bce8-52dcb99f7437 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.969568Z

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.

source=pdf_text observed=2026-08-11T13:12:23.298543Z digest=sha256:9065c6c23ecfe0fd5ae3ef044c8a705035afef24dc0b40ea0d2b6769d0d4665b

Observation 704bc92f-d017-4075-a0f7-bffd92dcc238 · outbound

This paper cites Oprea, P.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Oprea, P

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.948704Z

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.

source=pdf_text observed=2026-08-11T13:12:23.306469Z digest=sha256:9dfdfb4ebffd16975d271cbadc1d25c24e71b18d489d96386a0a8e8bc7908780

Observation 4d8bf168-0a79-43a8-829d-a31e98c51a53 · outbound

This paper cites VideoGPT: Video Generation using VQ-VAE and Transformers.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention VideoGPT: Video Generation using VQ-VAE and Transformers

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.313043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.313043Z digest=sha256:3a0c42e29764e597dc252114b04c4252962326a4622a83fbf286b5c1c2f61123

Observation 5fd24ebc-fe49-43ca-b4ba-48918ed9ceb3 · outbound

This paper cites Neimark, O.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Neimark, O

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.929236Z

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.

source=pdf_text observed=2026-08-11T13:12:23.319457Z digest=sha256:ac10c145623e27ddc78d69d9dda34ce8cc575708995afeded0484f1503b1dee9

Observation b495fbbd-9e5c-4c79-9315-6757fce92a7d · outbound

This paper cites Ye, G.-A.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Ye, G.-A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.908293Z

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.

source=pdf_text observed=2026-08-11T13:12:23.325338Z digest=sha256:09d8bbd61b634c830b409da338dcd278b25828bfe8cf798b95ec6609b997212e

Observation 438263f3-6bee-4c32-bb31-398a6ec4b55d · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.333199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.333199Z digest=sha256:96dcb806b65fe95bddd6aa33d70e15745ae668cdfd83c9dd45bfd92147ef2280

Observation 9122b4d8-4177-4299-8c44-f5a6d9e14767 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.886406Z

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.

source=pdf_text observed=2026-08-11T13:12:23.339621Z digest=sha256:5e23c8b8f421f47e49f819e41e4947a78dabab10d06b054d51f10cbb5a059f87

Observation e14cba17-f627-435e-9855-a47b7e2dc1dc · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.865196Z

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.

source=pdf_text observed=2026-08-11T13:12:23.347850Z digest=sha256:515e220130ffb35998811dce87e253d152de8d6ef37e25106533c6f6a4a02ff6

Observation fa7647b2-4b0b-4ad2-9996-67e887035975 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.355960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.355960Z digest=sha256:c38b2ae98e377f9287ed75e5e6e916a1d01601df7aa861bbbde01b07a4483704

Observation a2b11f6d-c673-4966-9ddd-77f89e02d183 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.841581Z

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.

source=pdf_text observed=2026-08-11T13:12:23.363782Z digest=sha256:062f5f425254406f38bc26d04ecb25874f0242bc55e22d94f1efac0b1cddb8a1

Observation 6999764b-5b3d-412f-be07-37682d267be0 · outbound

This paper cites Gomez, A.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Gomez, A

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.819772Z

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.

source=pdf_text observed=2026-08-11T13:12:23.370644Z digest=sha256:f5e8e0525668d6282b757351a12d2f261daa1a69957a7dadd11f622668375059

Observation 77fdacc1-3846-4a8e-8ed0-147cd4203a70 · outbound

This paper cites Schillinger, M.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Schillinger, M

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.797299Z

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.

source=pdf_text observed=2026-08-11T13:12:23.380881Z digest=sha256:9676dc5e0ec171a8b5648f09cb275fd8df735bbe4081d2f07e121a11ff338296

Observation 521b7d01-8222-46fd-b266-b1ead9667797 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.393004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.393004Z digest=sha256:4d3895fc8e83094c1c22d426607292117c6bc2e638ef537234c1e6922b3c9608

Observation 8825ad7f-c04a-4836-9f7f-06d2acd916fa · outbound

This paper cites Takaki, Phase-field modeling and simulations of dendrite growth, ISIJ International 54 (2) (2014) 437–444.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Takaki, Phase-field modeling and simulations of dendrite growth, ISIJ International 54 (2) (2014) 437–444

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.753028Z

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.

source=pdf_text observed=2026-08-11T13:12:23.399560Z digest=sha256:5eb2ec107dae324f43553e03714969ba7bac37f171deee9b48d687dcc06c40e7

Observation c2aea9e1-941e-4d1b-8bbd-6d9eeb91e3f0 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.731336Z

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.

source=pdf_text observed=2026-08-11T13:12:23.407322Z digest=sha256:6dceb98c75ec3db3db64f3ac8165da1db25a5c3c4484a37d9995fe5b4d159d72

Observation baa3c9ad-deee-42c7-b46e-81513572c25e · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.709216Z

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.

source=pdf_text observed=2026-08-11T13:12:23.412489Z digest=sha256:d654a59fb0170241e92eb8c50c3e3c4fd9a0d6981763dde5618d07b08eedc78c

Observation ab066c99-90d0-44f1-b65b-03b7474909de · outbound

This paper cites van Ooyen, B.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention van Ooyen, B

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.689133Z

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.

source=pdf_text observed=2026-08-11T13:12:23.418777Z digest=sha256:fc29c7fdbe44f4bbc2749a1705d911fab90e4b3a24b0e771edf9731b4a53b71d

Observation d7916f16-050f-4068-a206-1671f2709318 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.650913Z

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.

source=pdf_text observed=2026-08-11T13:12:23.431165Z digest=sha256:c0e31a1fdb04d53bba67018fc60ac0ffebadba9c0db5f3e859d323034b9e6ac2

Observation 27462dd9-c7af-4a67-8dd5-f7419acc802f · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.622473Z

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.

source=pdf_text observed=2026-08-11T13:12:23.437620Z digest=sha256:ab35a16b8e4433fcc711924a0b0ee20eb09790ec854e843fba3b76e7259aceac

Observation eb9735a7-3e65-48bb-8548-2c1b03770a9e · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.589858Z

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.

source=pdf_text observed=2026-08-11T13:12:23.447182Z digest=sha256:bdfd3e72219785f160efc08638be06ccf2eee375d982c153a7a3f4e883dfea47

Observation 0d220cdc-511b-4217-9b79-4e988f5d5b9c · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.562009Z

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.

source=pdf_text observed=2026-08-11T13:12:23.458297Z digest=sha256:8e99e699bd0e5f6b4296872d812b99673cba48bfddfc7e1cc70115358cdd9bf8

Observation 04c1b3e0-87f1-494b-9734-d6acd253f30b · outbound

This paper cites Piegl, W.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Piegl, W

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.534925Z

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.

source=pdf_text observed=2026-08-11T13:12:23.464461Z digest=sha256:2b5dd993fc79897ce29c835c9abdb91cf0582c4501fe0aa7f3ef627bb8f836ac

Observation af756538-29fd-46e2-a807-3d7c84910e9d · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.504780Z

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.

source=pdf_text observed=2026-08-11T13:12:23.475401Z digest=sha256:59841d79ae8f9315f7a18a1cf51b1d3f2abff8e061099562b36855c1cc218d33

Observation 71eac760-65c5-43e8-87a9-cd8ae1626fbf · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.482978Z

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.

source=pdf_text observed=2026-08-11T13:12:23.481585Z digest=sha256:b08243799baa12c2c771ed5616577a6f6716ccf9f00fbd80f3cab796084c48ce

Observation 701801ef-bc19-4c56-93d3-30b5d072d4c0 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.455643Z

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.

source=pdf_text observed=2026-08-11T13:12:23.487558Z digest=sha256:824f45112e6605863fbfbd9fd5ec2343dc98c95c2131bb0d8c6a7a3c8953f2eb

Observation 00d766a8-0106-44c0-b165-10850ede7f3b · outbound

This paper cites Balay, S.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Balay, S

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.428578Z

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.

source=pdf_text observed=2026-08-11T13:12:23.494218Z digest=sha256:ddb2f310aba0001ff39419449a2bc39fc157d343533087c07e9cd652e72c7f62

Observation 446a09fc-5bfd-49bf-9dc6-5b29703342c5 · outbound

This paper cites Zhang, J.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Zhang, J

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.407354Z

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.

source=pdf_text observed=2026-08-11T13:12:23.514155Z digest=sha256:506f87e7d9c31c957d405b4822c34083c9c67b8ef29b768289dbf56577f3957c

Observation a4a6af1b-8c27-4aa1-b361-c5acd13ace5f · outbound

This paper cites Karypis, V.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Karypis, V

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.378045Z

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.

source=pdf_text observed=2026-08-11T13:12:23.523293Z digest=sha256:a067545b26a688b15bfe12e3f8bc47d97e21653242aa1dd7bc56e144176343a4

Observation d8609957-e586-415f-a833-fe46a551a372 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.353448Z

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.

source=pdf_text observed=2026-08-11T13:12:23.534493Z digest=sha256:5cfd9fd0dd246351236e65e9df5fab221cc4a92b85beafdddbefb055ad6120f7

Observation 9a6a352e-e958-48dd-8840-a175975763f3 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.326652Z

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.

source=pdf_text observed=2026-08-11T13:12:23.540668Z digest=sha256:c1214f130ddc0fbf11cfe827585bfdd63d8c7880c6314b35079d72c9104b4ff0

Observation 0ab372e4-2bf0-43c7-b64e-8ecf2c194cad · outbound

This paper cites SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention SimVPv2: Towards Simple yet Powerful Spatiotemporal Predictive Learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.548363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.548363Z digest=sha256:c8f8d04a5d401701c65951e1f8e088b226c76cabe2467ed9bbb980894388cf2c

Observation 294a0410-310f-4dbd-8aec-b1d85af27c60 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.558307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.558307Z digest=sha256:ca97221d6f2c16743f6512973da09f1c09c182086c3c384010b66a7c52148d39

Observation e93c9428-4a46-4f0a-939b-1b6d738e8b66 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.288212Z

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.

source=pdf_text observed=2026-08-11T13:12:23.564519Z digest=sha256:b8a03c006bc8b63ba9337c11023e80deb310b2faf7abb5741965a7ffc5f7eaeb

Observation 89a509db-2069-4100-97c9-1fd2701606fc · outbound

This paper cites Kawatani, M.-L.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Kawatani, M.-L

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.264557Z

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.

source=pdf_text observed=2026-08-11T13:12:23.571987Z digest=sha256:672d6a48c692a854da34e5ca4de325ac5fabefa49e3b6518f6d001f06b499f2d

Observation e6122888-550a-4d55-a782-f73edef20e8e · outbound

This paper cites Elfwing, E.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Elfwing, E

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.229467Z

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.

source=pdf_text observed=2026-08-11T13:12:23.579026Z digest=sha256:5bef4ebf8de3a72c9edd3d40f844190968353caddd91cdf8ee8d2fa08b2fee6d

Observation 08510374-27f0-437a-adb9-8a91f306e6b0 · outbound

This paper cites Activation Functions: Comparison of trends in Practice and Research for Deep Learning.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Activation Functions: Comparison of trends in Practice and Research for Deep Learning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.585569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.585569Z digest=sha256:d81a0bd4e9356075898e5c0f789512b04bd73c95b6f2f9e594ff28d6e872cb9b

Observation 021b201f-c5e6-46ec-9d98-8abec14046b4 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.205692Z

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.

source=pdf_text observed=2026-08-11T13:12:23.593129Z digest=sha256:5ada89fa2cdaa21eeacda561a86d4e656bdf966450860c574e693071fe1beb83

Observation fbc90e3a-e445-4afd-8023-614debc5d157 · outbound

This paper cites Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017).

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Vaswani, Attention is all you need, Advances in Neural Information Processing Systems (2017)

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.614263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.614263Z digest=sha256:217d7ded1dbb883ac372ab6ad2ed6800090cc0114fef10fd51e454c9979ad27e

Observation f0a2a09a-f5ea-48db-9f4a-f7889f71ae90 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Gaussian Error Linear Units (GELUs)

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T13:12:23.624407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:12:23.624407Z digest=sha256:062fb446e14f7ba65fd4bcd2ea4c8a14e82b98257ebf5b793315815c7bc178c3

Observation aa02120c-299c-435f-a4e4-c6eefa25fbbe · outbound

This paper cites Wilkins-Diehr, S.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Wilkins-Diehr, S

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.157442Z

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.

source=pdf_text observed=2026-08-11T13:12:23.632621Z digest=sha256:c04019095d9688db76ba05907db85a3ff854035ba51c84577b8cef20b2a50b6e

Observation f11a74de-867d-4c85-9879-287ad44b7d1e · outbound

This paper cites Towns, T.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Towns, T

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.134964Z

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.

source=pdf_text observed=2026-08-11T13:12:23.639063Z digest=sha256:09d60bbdffd7708a28094ca83568b066de3deeac1aade07674f97c9b7274205e

Observation 5cb74867-d08d-45c6-9356-e23001b77693 · outbound

This paper cites Weiss, T.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Weiss, T

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:12:24.111446Z

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.

source=pdf_text observed=2026-08-11T13:12:23.645085Z digest=sha256:394bc6186fd24d33a030742772cbcf838f5f19e2b0a3be5749b64d67f10a94d4

Observation 0c894a03-5e65-4e5c-a941-80a9d11b98e9 · outbound

This paper cites an unresolved cited work.

High-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:12:24.083226Z

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.

source=pdf_text observed=2026-08-11T13:12:23.654030Z digest=sha256:bafc3fde63dd5bd32e25f0e821981bcf8c8cc8b67230a5005b0e0289b5565f72

Pith citing papers

No inbound Pith citation observations are available.