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Paper Citation Record · LEDGER

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

As of 20 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 2026-08-19T06:32:44.657259+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

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
raw_fallback, observed 2026-08-11T13:12:25.822236Z

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 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
raw_fallback, observed 2026-08-11T13:12:25.800431Z

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.

source=pdf_text observed=2026-08-11T13:12:23.027347Z digest=sha256:4eebb92c0c7ab85ba50b7652b71b6ead9d3f095b5b6ca7370ff44279e54de8d7

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
unresolved
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.034276Z digest=sha256:86f2d10a707fa87f76f0de070ce4531b8545974d6c0c7df92fefdc25f15ddfd4

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.060249Z digest=sha256:b529f8899ce12205d935f076d90926625edd9edb502f2335233958d1091aaff7

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
unresolved
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.070739Z digest=sha256:cd09a7522b46d580da3fda20488f420e639fa47b0a644340bd1c1087e6e840e3

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
raw_fallback, observed 2026-08-11T13:12:25.653644Z

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.

source=pdf_text observed=2026-08-11T13:12:23.078453Z digest=sha256:0bfa649838b77b74af66fd86b7d077e8013778715e510c9d0e2ca3e8e8d1ef5a

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
unresolved
raw_fallback, observed 2026-08-11T13:12:25.632787Z

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 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
unresolved
raw_fallback, observed 2026-08-11T13:12:25.608645Z

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.

source=pdf_text observed=2026-08-11T13:12:23.092229Z digest=sha256:40d74f1213071672cf4485143186dc3c19b73151c4050d2a6cd7af0b8d06a150

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
raw_fallback, observed 2026-08-11T13:12:25.572632Z

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.

source=pdf_text observed=2026-08-11T13:12:23.099003Z digest=sha256:5393213da1769a090e37bb86a0261641e8a5327cf0e57af5077ede01dc9fdb7e

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
raw_fallback, observed 2026-08-11T13:12:25.546055Z

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.

source=pdf_text observed=2026-08-11T13:12:23.104998Z digest=sha256:43508a77595ed599a8ee4091a6c588724c91051c503518131cb02e25a2038d2a

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
unresolved
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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.112201Z digest=sha256:813602799b7340dfd10bfa91b868d365158e374f2720a92ab1627294a8b4527f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.119026Z digest=sha256:a3c6bd74ea17abda710a4fdb1600824c95484f47d5409db29480d500ab883d17

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.128400Z digest=sha256:16526786358583764063b32e4d84bfd161b323f759860c31332f272bfed7d594

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.135142Z digest=sha256:b8c291123b3486e7fac98c14b634560a848d05cd552112337c1bb500a5ea312c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.143818Z digest=sha256:0bc63fa60a858f42eeee232ed0bf0d5c1f79db090a1ec283afcbac4b332bac84

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.149471Z digest=sha256:fdfdbbb86ec22dac50d96dfd69483bf87ddab7736db51c8de36e7e75a6647ea1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.158159Z digest=sha256:791dde0f3fb48340a58cf0768686816400a4933e24dff97c3bccc5b7cabe38df

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.164041Z digest=sha256:78b6d426c6a2a0207d5d8b74f666bc48a6f415daba2a11cae41c1e87d01e3c79

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 2026-08-19T06:32:44.657259+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
no resolver link, observed 2026-08-11T13:12:23.178844Z

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
raw_fallback, observed 2026-08-11T13:12:25.238136Z

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.

source=pdf_text observed=2026-08-11T13:12:23.199970Z digest=sha256:7b5fd3948bdf2b8ef0d6317510dfcb70be551c309fd306ff2bc97c4b01d0cf9a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.205862Z digest=sha256:7112e98d49291e943bbd7cc8d4ee342b7d0a3ca124ccda64e1921cd18db0bb68

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.

source=pdf_text observed=2026-08-11T13:12:23.216413Z digest=sha256:eb94c5f2e32ef09637d3801b4d5d12201f0c03c15766eb04d8b706043079b195

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.222808Z digest=sha256:8f98c7dd4b0e0deabb0314a703b4b1e6ae540b4d34813e2d671d23e6237eae52

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.272218Z digest=sha256:f23174e398df4ef45cf13cefbb263abe445025e22c3b9e4dfb35172900690de3

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.284395Z digest=sha256:a90f37fe724ef4d2a71fb22df8a13d8fc84160421405ba4aa830c3dd64b19b35

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.291810Z digest=sha256:9b7780b6198a23332b0ad04f39776c4bf8124e0a66a0bee2273f763368f107a8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.298543Z digest=sha256:e7bd4cfcc3f0252f41d251718067274d2cda2504f2e9cf6637c336259574b1c9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.306469Z digest=sha256:8037bc105454a2391adde3a50b26987f82c30e84a69ce55b8f7b216df117a8bd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.319457Z digest=sha256:9fb4dcda38b42d5e11b2f922dd0439597658372e76fec261829d56b59377d8ab

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.325338Z digest=sha256:61cea3a5122f737b8ee5caf78f23f65d726a9ef96fbe0e7599e484a31c7c2992

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.339621Z digest=sha256:b6debf0ff15fcbb4cfac99e36dd9552588828ff1ee1cb601e97fa6d14eb48405

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.347850Z digest=sha256:15baf33c771e5a3fefedf0782442efb00f2f8e944d60f4af3e107c3b7606bda9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.363782Z digest=sha256:75185bf349e6711d2674f3a98896a6ac7beda271a39ef153d205246ef175e644

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.370644Z digest=sha256:608e83cde33ff8bfd73a5824170fe90baf7faf2d3109f4ce5c2a18727002b827

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.380881Z digest=sha256:cb92879df2b1f54d920ef7267e05bbca952ea1bebc2edd51bfc3ba63bff95b73

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.399560Z digest=sha256:46bfd76b048a8e534a6b294125021ae53b399118ddc444797783c6becd58a970

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.407322Z digest=sha256:334582ea28488557795b4fac91b50ca32a9e5585249e0e757bd02d27cb53377b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.412489Z digest=sha256:5d5be0fc18f17f7b647c86a38bee3f927788930cbee50ffd2d8fb961964678f8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.418777Z digest=sha256:c1306b90597dc6a6e314528bbeb845b0d8edb120728829b9aa6f80a33ad71649

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.431165Z digest=sha256:e31bd4a1388ee78753755d84266738d895f7721deeb112219c70a3d8761417ab

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.437620Z digest=sha256:37d04277e3dd583a8d141019c1507fa1d1dc2f72a4d82486a99ef23edddb7675

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.447182Z digest=sha256:575a43a65fcfc4ac5c52ea8a86142668e451652b097cdfc41fd5ed3df427aa28

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.458297Z digest=sha256:cd7697b86703f3cfa9e9ddf99bf32b75d96291b2bc6e3d5187de53f547995eab

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.464461Z digest=sha256:9e68825e6fca862855acf812ef667499e8a12ccf75bbd34469ca6294d6c90e09

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.475401Z digest=sha256:7c9ac9680be2deb444ff9b03f079cc7e9795e824fcfcd51e3dd3989255d4f7df

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.481585Z digest=sha256:17a9f328f98da2e9c0ec7b42c36dd974ef5d95afd954099252e75fdb2506bb77

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.487558Z digest=sha256:fefc627724acbfdacadb105ffb3c0ca75397a0542aa3413381fbb3f1f3f6ceec

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.494218Z digest=sha256:81e92f32c3c3b6bbd689ecfaee41e09ef54eac60ddcc9d98e0465e1306b00ae6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.514155Z digest=sha256:5e70a22ca586170ee8af0b47680e770a1529dbf04ecea5469f2a6ded2d74ab36

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.523293Z digest=sha256:c146df21174a111e35ecc1b14514117652be67e21b2c6ef7da03adc93d197e3a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.534493Z digest=sha256:a4ef09bbc4fd1e3a1d7b96f7daff677ef0ce373ee30ecb417bb7a4951f5e7b8b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.540668Z digest=sha256:bc1aee52d4707184d43ef3a992f0b43caa16e79d85b232153eb6f790ea524602

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.564519Z digest=sha256:65ac24ad377dd186c61c3ec25dc6ca6dd13d7ff12f2edfeb195e2121ad1e8e74

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.571987Z digest=sha256:e0434a6c9e68277fab96933d7cb7f89452f2745d62a8d2457f558e32d87269e1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.579026Z digest=sha256:599e92c1f38d55a75459c551bdedc15562835a0d51c67a36f9467a9a8ee3abf8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.593129Z digest=sha256:6a9f3a6f61bcf2eaad6a028bd99a95194f18f5aceda8f16a61b330b9ee929234

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-11T13:12:23.632621Z digest=sha256:2e673eb978ce5e714ca7265e32becfc1baf4afe4c4f8f4661bdf7b2865ea85f5

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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

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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 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

No inbound Pith citation observations are available.