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Paper Citation Record · LEDGER

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting

As of 8 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2507.03855.

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

pith.paper-citation-record.v1
2507.03855 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:05:04.545309Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T20:52:42.972708Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:59:19.167204Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact2
  • verified fuzzy20
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef9ce7dc-47c5-4ee8-b09b-c1654d98f519 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.336362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.336362Z digest=sha256:c3ac1202c9d8739edd3616738292997a5c1b89cb6b0c6d64d5672142aa89a3a3

Observation e39868ff-932b-4886-9572-6c4092b43234 · outbound

This paper cites and Joseph, V.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Joseph, V

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.184672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.340498Z digest=sha256:5c85fcf73570fd039e9173402e9f823a52ceb5cb215b83e7c00d1ead09ec60d7

Observation 7106932e-f903-44e5-89ad-1d04ce715b59 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:05.175330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.344099Z digest=sha256:985813a786177debe8fedccb5c79e401e383498d1f1b0565577f7b6dbafc8125

Observation abd650be-4394-4c67-b4fd-431fac84d778 · outbound

This paper cites M., Bruna, J., LeCun, Y., Szlam, A., and Vandergheynst, P.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting M., Bruna, J., LeCun, Y., Szlam, A., and Vandergheynst, P

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.166387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.347967Z digest=sha256:e4da07b073b6734a4e9585e0055a46e01302d57f8b8d42559ae0d47b7dbc9416

Observation be7352e9-755c-4253-abd1-bb6dd7241364 · outbound

This paper cites E., and Deisenroth, M.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting E., and Deisenroth, M

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.157130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.351177Z digest=sha256:b53fb00ac7c4e724715f3633c7723e94849b8d4cf47f4c9f935c456283954999

Observation d3e47975-f90d-4576-927b-c4925dd36482 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.354452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.354452Z digest=sha256:706366a30a30c25f773fe527bad6a91c9b882311b69b27aa528759d40e4cc218

Observation 206ec103-2a4c-4238-bfbd-5a824dd28574 · outbound

This paper cites O., and Gelfand, A.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting O., and Gelfand, A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.147987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.358600Z digest=sha256:7a7de1422772178eebc9e620730bb0f192928ab9989726bb79cdb9a9317ed8e8

Observation b12faed9-7974-4735-a78d-07c154d20cc5 · outbound

This paper cites S., Guan, Y., and Kulis, B.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting S., Guan, Y., and Kulis, B

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.138692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.361699Z digest=sha256:4b002f6c9c4dc044beb06b1eb0392d49526799b899b9599828a5ffe6132e4120

Observation 90f5b3e7-7012-4159-bc98-f78f72741e58 · outbound

This paper cites E., Weichert, F., and M \"u ller, H.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting E., Weichert, F., and M \"u ller, H

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.128933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.364606Z digest=sha256:139b7f78a2dd3005abd3dda3deaa1355eec1858d9fdb3d26f3a7aedcfb16ce55

Observation 43924424-b0d6-41d7-ad79-02b6d1712a63 · outbound

This paper cites and Li, W.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Li, W

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.118676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.367672Z digest=sha256:debe3d4ed19d42a931f97de4a01ef627a5444f01d4c7480bca84ddbc921a289e

Observation b96de99f-90c3-4238-a468-53e820a6d33c · outbound

This paper cites and Zabaras, N.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Zabaras, N

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.108636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.370727Z digest=sha256:69bc0a22d100a3fb0a59a7f2f24999b8c6772f460ebbc3a9d25f19250dcb5cc9

Observation 255c20ed-8f93-42ac-859a-accad8d24640 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:05.098671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.373992Z digest=sha256:ef4e6e2e7ad5aff6e6c8c61cab38abe2c53fdc440bcadeadb5a413a2a685ab1f

Observation 61d279ee-7b6c-4dd9-943a-1b4007f15194 · outbound

This paper cites L., Amaral, L.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting L., Amaral, L

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.089144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.377035Z digest=sha256:ed547821871ecbf9da9246378aecbd87d264ee3655bfe70fe719a852cfddee37

Observation 6ee9d1dd-5c2e-4933-9705-0038655f5359 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:05.079685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.380103Z digest=sha256:b2b239cbf8bc11c2f93e01889d640a77b9c8f1329e0bb887e0a073088ae7ade1

Observation 9504f767-7800-4357-80f5-09322559bdfe · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:05.069377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.383106Z digest=sha256:cfbdaedd091134383d189cdc64134e5fbf1e73396407e67bbf02de2568b2d7c7

Observation 128082a6-8e9e-4fc5-9a68-d3197b4b359f · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.386497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.386497Z digest=sha256:64d1bf9dde058bd9e562502eb81064a4f8bb4d50acb1ed70234d90e810c386ef

Observation ace848f7-180f-4d6f-bb88-46d9097ba0b4 · outbound

This paper cites G., Filippone, M., and Ghahramani, Z.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting G., Filippone, M., and Ghahramani, Z

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.052884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.389789Z digest=sha256:8739b9b14f322eeba52cc5b7b6ee6499b5448710ac0376adaa3e9635fd790740

Observation cf2d752c-66e3-4376-9419-3d8b709f3916 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:05.042115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.392902Z digest=sha256:df78c65df4051079a25a32fe0cd6592b22ee6d1accf9294825a81ac7bb610d0a

Observation 9a5ecb02-8954-4f0e-87e5-b6277e746cd7 · outbound

This paper cites Y., Wen, Q., Zambon, D., Alippi, C., Webb, G.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Y., Wen, Q., Zambon, D., Alippi, C., Webb, G

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.031719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.395866Z digest=sha256:f3f73942faf8d51a87168ee14ac65260a42a9ace5e4fe7ea9be206def0d5b5ae

Observation ae419b19-90ab-46ec-9d11-6a76c00da3c9 · outbound

This paper cites C., Lee, S., and Lee, S.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting C., Lee, S., and Lee, S

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:05.020820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.399246Z digest=sha256:2dd0a3efab97b4cc3d80df051f5f8db8a6bfc1979a95e83bc2155f6506ec0382

Observation b428924b-b22e-4945-bd8e-62cfc002f81d · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:05.010428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.402375Z digest=sha256:b2aac654d5b64726c509deeaddb6df4e9c0119165d009794f3e750b76a410a17

Observation 8071013a-5b8b-4327-b035-fecbc818e446 · outbound

This paper cites Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.405310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.405310Z digest=sha256:a85776bec9288f189191774d1099c84f4c654b9c094420bdb48e84cb6ce1e50d

Observation f7fd2051-c2a5-46c3-86de-a099a7a840ec · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:05.000290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.409189Z digest=sha256:a3d51c1c9664d83f52999001d8f02efc82013096afe9df30bd47d54236c487a4

Observation 50161655-f0ca-4c2b-b1da-ba00c1710c34 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.989654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.412306Z digest=sha256:455ac7cd6e92dddd199090081597d7344bb9c4c55e708a398f2a5f2d9b819c87

Observation d2bd394b-22f5-4554-859f-233673dae30c · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.979410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.415355Z digest=sha256:f944b97df05877ecc98941b48a78c47dbab25d28cd4c8c21b1aa2d8e1118e8ce

Observation ae97a801-d6c4-42dc-9acf-80bd3e7ad902 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.418521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.418521Z digest=sha256:c0cc1fc54a3e90be14b8816fd20669e627c74b582da8111cdffea5acfbd8a1c3

Observation b42ed7f9-10c0-4a52-a646-b584b0228428 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.963458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.421569Z digest=sha256:9d533bc40e1f271e1a074ba8f062f86e43f1bffb22ba16baf610ced4395ae36b

Observation 061a536e-4469-4fce-b39d-b4755ffb17da · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.424806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.424806Z digest=sha256:aa306b78861bd7d95faf8571529492b7c072abeec61eb57d623378edc92fb90e

Observation 63ac545c-38a9-4f51-9140-7edec3ddcb2d · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.427870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.427870Z digest=sha256:b97ff604ae3306a8d64c4d8385fd66d9dd08b7e7ce62c490c10b3a629e43f6fa

Observation 052d1178-1c9c-426a-86f5-5e5ad96adc6a · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.430860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.430860Z digest=sha256:4f5771713507bc322c889bd5bc6cafae539f0810ce2d2946e5aa5315648585f8

Observation a2159bd2-8ab9-4108-82a4-c9fcef78d153 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.934810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.433860Z digest=sha256:c591bf9fba3c01a5fe9e4272480e781e2101acc02ed3c473a099653203528e59

Observation fe334962-0720-41e7-bfe0-e5748ddc6263 · outbound

This paper cites Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:05:04.634721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.436936Z digest=sha256:423928726ad73afea1d58b5597f2b5173e0cf0cc3c83b3dbea4b230b69ed6293

Observation b62b1b7b-9a5f-43fd-a934-b34dfe01edfe · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.924845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.440623Z digest=sha256:105bf9af090fe676f1cad41d54db6ea723e92540c4cf896813f5d45b84a9abca

Observation 486920f4-e10c-4600-9d1f-cd169874a767 · outbound

This paper cites D., and Kaiser, W.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting D., and Kaiser, W

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.915190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.443949Z digest=sha256:5152042dc3743e3cf17a301cc94c0858e8b5c85de7d24023d136506a936ee318

Observation 80e5d1ef-4473-4a49-a25d-8ec7bffcba55 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.905215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.447287Z digest=sha256:8a46c8ff9baafc4966547079025ad3963582cf651787077dc87ed7519eb9509e

Observation da455812-6c49-4851-8a40-3203235c3f8f · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.895038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.450632Z digest=sha256:4a2c5c2b5a889bd23e3b635c8c054fe64ca1fec368af70d8e88831806f70cd11

Observation 8a7f7261-62cc-42a5-b726-d52e802b7e36 · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting N., Kaiser, ., and Polosukhin, I

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.453972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.453972Z digest=sha256:3a7fa37032f85c0132e1b00e9bdb8c0a8fb6a3de7dedcafe56bd2fbd81522601

Observation d27f95a1-d7bc-419b-84b7-dd41f722fff2 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.879250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.457107Z digest=sha256:57971860a92955f38247b03ee25a6f17cb8397fd438230765b40395454fcd167

Observation b4ee7ca7-8ec6-4080-9b28-58c8f8e856c4 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.868107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.460089Z digest=sha256:112416122decb00026fe46ba92cddb9332ef85b4468c4b0bbfacf60ef4910b7c

Observation f09c3607-1d20-42db-bfd0-5617b45b6d08 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.858814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.463139Z digest=sha256:680d721a8c465fc09357a4c5250a72b0e6b2f124d3ca02d5feb0919279268ad5

Observation c76b4a04-08ef-4e52-8255-3fde38208935 · outbound

This paper cites MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.466107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.466107Z digest=sha256:82e92fcecfbe4fd49987516971c2981d41ed17f13e859e01b5da4954b72b6d9b

Observation daaa91c3-f6a6-4476-893f-2b05680ec4fb · outbound

This paper cites and Yao, B.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Yao, B

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.849277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.469497Z digest=sha256:dbfd49ac9c86cb0e3cc72a5c73878a681d47ade5866ed35709fa75e89b89b8a4

Observation ab12f8d6-9f6e-4251-abda-a57c28f70437 · outbound

This paper cites Transformers in Time Series: A Survey.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Transformers in Time Series: A Survey

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.472624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.472624Z digest=sha256:2dbb534a99d9f1f946ec4876ea878742dd32ddf299b38f581ddfdbc26373e53a

Observation 5bf63d97-66bf-4366-b18f-c1261105320a · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.839594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.476310Z digest=sha256:28e4be50235a42edbe7e275a357a7b6b9e1d5145f7fc8f84ad17e78cd4769a26

Observation a215492e-79ea-4976-b191-1a6d737afb26 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.830047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.479395Z digest=sha256:12153cb96320d5c9d96714502c104cc2dcb26ad84b72269a9eea5c5436908451

Observation 9e5a4eba-b5c2-4a8d-8175-89432b1a1939 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.820000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.482288Z digest=sha256:1bc31bd433a6dd6f33a909725e3d13267f38797442860091bfae4e91c00b30a3

Observation 564cdb51-2563-4857-aaed-4e47a271bfb7 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.810920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.485247Z digest=sha256:7ed2c4cc146bb84d6a3689dc10965c55de15e0a083317e933bc02004b2a7629c

Observation b63727af-4584-4e32-b907-1f7ed7f9686c · outbound

This paper cites and Yao, B.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Yao, B

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.801856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.489170Z digest=sha256:12418e45593347c98e8b04f0d471ca8e85d6caff7723600a69505d8b5435d206

Observation 316d5f2f-9e05-4156-b7dc-e007c691fee1 · outbound

This paper cites and Yao, B.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Yao, B

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.792617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.492397Z digest=sha256:902fe5844dd907c87a546acfd97e31f31cb3f8499ea265f6a8b1ba49dd974e7a

Observation db544f50-321a-4231-b7cd-ab1d425c22ac · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.783467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.495504Z digest=sha256:57ddcc3f41e6fd75d3e609fe2d0a200109da918f748fd8026a35f6bf3bb03ff1

Observation 77a92af7-5427-422e-b054-cc7404ef1a0a · outbound

This paper cites Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.498731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.498731Z digest=sha256:1dbc164e96c8603fae39114a7f3f6410a2a3bee01522ed5e8e5cac807bb4921c

Observation 5c4350d2-0c63-46ee-9bf4-af5cc585b67e · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.774413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.502568Z digest=sha256:4b50fc1833127171e36273b5b0791640c5591beaf8ea13391fdbd467c453dd87

Observation 0ad7c5ef-536b-4f07-9b89-9b9b18b7909f · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.765393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.505936Z digest=sha256:5d9cb79213c96cf78e3fe0674350a99d8b3b45f1128d3dc2821f2cff5875107b

Observation e5cb81bc-2853-4765-92b3-d655b1f4319f · outbound

This paper cites D., Liu, X., Pu, L., Chin, S.-m., and Hwang, H.-l.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting D., Liu, X., Pu, L., Chin, S.-m., and Hwang, H.-l

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.755971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.509120Z digest=sha256:36d7abe9de4c721ef8c6508ce9e6a5dc20ca886e8d89108d5a34cb2b069072ad

Observation 0c4a3521-5068-447a-b38b-ca702d204c19 · outbound

This paper cites and Yao, B.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Yao, B

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.746056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.512408Z digest=sha256:57d32b51e8e77c3981ca9d83589767ae70808017140b2f71a2a43108aceb5ed8

Observation 4449bf9d-cf22-4b2a-b7bd-3cfb24e5fbf4 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.735375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.516286Z digest=sha256:23f8576ddf7ce8949a21769d9d069edc79cfe4f8fbec1ba4b6f1ecd9c417a974

Observation 9bc6e08c-8231-41bb-9327-c78bd69bef4d · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.724818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.519325Z digest=sha256:2cdcf414e0131681057ae89b8c1ea27645653420416af95f824da9309131294a

Observation 92db573e-234a-4e46-9aa0-edd34a5100a8 · outbound

This paper cites and Yang, H.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Yang, H

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.714571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.522400Z digest=sha256:5e6b80f8afa1d429a5f6cda783a5bf3d99a4e2351e8532ae2a0ea8df0891636c

Observation 0932358c-2f36-4cba-aaaa-a438e4d821a2 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.702378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.525374Z digest=sha256:e2c2007ab777a83c4398a97622102fd11749cd273f641fdbf27ef9d1cacb45b3

Observation 65260455-641f-489c-a4b8-016c1ce68abf · outbound

This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T20:05:04.529356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:05:04.529356Z digest=sha256:d00e338eb46ff37ff08475a77141e96867a5cb19cbc54008c7ca8e8467f6556d

Observation 4f7f07ef-baf9-4a30-bb8c-85d62ead619e · outbound

This paper cites Geometry-aware Active Learning of Spatiotemporal Dynamic Systems.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Geometry-aware Active Learning of Spatiotemporal Dynamic Systems

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:05:04.582467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.532777Z digest=sha256:17eb7a101710171ddfced4d08616d09b4de36db9bad78e32d92fbb025bf022da

Observation 19e9e880-e4ed-497e-b325-a9089a286b79 · outbound

This paper cites and Del Castillo, E.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting and Del Castillo, E

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:05:04.692125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.535972Z digest=sha256:b604e037281a4da31a6f3b751a40fa1e41ee9f2f0fb84ac7a7ef71f13b8eb92e

Observation dae4be15-a677-4cf5-b9be-190c2cb91906 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.682022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.539015Z digest=sha256:e1617ad7633aeaf5417d50d859b9155282d5f55e6dbc8f8e20a3a36a3c4c9527

Observation 744ab70d-1190-4dd5-99e6-80dcc8805e1f · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.672711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.542163Z digest=sha256:f75f1ea7a863fe8231dc83992c2207e87f82f8c2b343db07e7d337b0f0c32ab0

Observation 9752fc44-233d-463d-89ff-909814ebec91 · outbound

This paper cites an unresolved cited work.

Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T20:05:04.662933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.545309Z digest=sha256:bdefe2d00290ade896929ba67e4ffc55e7aa92d31e901f0533201f35a23134c2

Pith citing papers

Observation f9b0fda3-7469-4dae-aa44-4e283c538eac · inbound

P-K-GCN: Physics-augmented Koopman-enhanced Graph Convolutional Network for Deep Spatiotemporal Super-resolution cites this paper.

P-K-GCN: Physics-augmented Koopman-enhanced Graph Convolutional Network for Deep Spatiotemporal Super-resolution Transformer with Koopman-Enhanced Graph Convolutional Network for Spatiotemporal Dynamics Forecasting

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:59:19.169677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T20:52:42.972708Z digest=sha256:609f691f2418dda055f87967f6cbca070952e0545596e2afd09c2737fbea10bf