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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:86c86ca9432066078fd80793dfbed3186deb0a487bf082628da0408520232e2d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.340498Z digest=sha256:6dadd41f5b42ac9c4e5f3405936fb68c29583824e145ec9cd5b59b3d03b5176d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.344099Z digest=sha256:3342ec66ace96bfd266ede162a303dc35ac8e4d75c2cfd5cacf1e3ac119cde33

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.347967Z digest=sha256:45298a57d291ea0a137d54c52c3272471e3a4e1f4f1d919db2a8dd09e9cc1413

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.351177Z digest=sha256:a64656a28fa59ad74b88b2c7e199ab85ec215220621068273d4e8bf9b7f90ed3

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:b6ef1275bdaa8bd16a52ea7aac12b9006a91478a8af7d04912735df9f147d0b7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.358600Z digest=sha256:3f51096341012e6a58d63f281dbec513346e24a85bdb0b3f469a41e84bc8478e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.361699Z digest=sha256:3fb7521508856d45e0e15bfbfa785aa907950719739951066486cfa68a604287

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.364606Z digest=sha256:235d42c60a90b93cff531114289e64c0bb36a3d896619f1017b6e8a6330197c6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.367672Z digest=sha256:df0b99ccaeb6a5329eab1e0ef78faeb41d3a06c9ebee34142bda626ac4908291

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.370727Z digest=sha256:1ce167d5f7da4509717fd5f3265b6e0ce124fcaa3db793181c998761cc662203

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.373992Z digest=sha256:25ba6627e0b995f7c71741aa57016cb4ee01406fa40f985f93bf283797225d00

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.377035Z digest=sha256:f32f97a7494fe1d70ddc3e7f35338687210852d8fb0d1c02d2a2d4d0ad3f3218

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.380103Z digest=sha256:d152672b6751c265329305ca3605c4cb5b881ea4b06b741a38e3e8620725241a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.383106Z digest=sha256:caaea4117b305b3a6af72c393ba0e7c6fd57b2962324bd264ccc74b771e86f08

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:cb2c455df590bc9a621053f5dbb6655c6c3fccab467b7b96c8db0d01d4911796

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.389789Z digest=sha256:4cdab93423a5850d35bd4d4f84980ea823b9b0af6053af40dd3fd5d5a3d42114

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.392902Z digest=sha256:d6ff7a1bf853a9d1eeacfc38b1732d3bba17f8b1e3bb8135c4b54b5f78336aec

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.395866Z digest=sha256:da58c15bbd5cfa7289806526733bc046434e1b6f648077948bbfa0ba63736bbf

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.399246Z digest=sha256:856cc93ef2292e5e09f7e7c2ce07c3b488be981ab9fa7ea8506563d7c5592d7e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.402375Z digest=sha256:32bb2ad65d0c698cd4288cfdaf380b7f5cae52a1f003379f7234f16058d43edb

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:fc4a5baa884210e156d30e9e5cf8058050e6fb75b008c62185709eee9bb242d9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.409189Z digest=sha256:1528f21f0d1f534e0f1ffd1dc7bb9441f4fa1875d299238987a95aedcc77a671

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.412306Z digest=sha256:aa03e0eec07527126422b98ea854488185381423f0516759e854ce5b2b94256c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.415355Z digest=sha256:ce30f345c09818ff6f0d6a38d6b1e5207e7be86e3baee399a3f17840eeacdeec

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=sha256:183a2d59a32e9a2379f65d9b96024ddc7ce5ca2fc2371e00cac951353a29a2e5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.421569Z digest=sha256:a0bf08cbf2aa991d92e2f86c485e5bebfde9111a116995b32c91b7dcc9ffa816

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:d1d43aa65eade0a9883f6341c70a23231bd89db23cc2452d07178134d07fe980

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=sha256:3454cf45a87bc753da54f4b584cfb37a31f1f252fece0a209fa1677ceec82363

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=sha256:44f2dead930b3c1a6d0e59666230efc994e50380a8bec9c7fb4b03c771a281c4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.433860Z digest=sha256:6db8cd511141984a8464ac24c05a2ebfcce3a412c662555bf6fab70e4d2806b1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.436936Z digest=sha256:c1fe4cfe6342c8d3f34a2c1635e5fe4b230391d59e63d27a90731d482754b72a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.440623Z digest=sha256:c992b16e04c248e46d352452e490a81c7706a4bafbeb06ef570a0817801e7846

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.443949Z digest=sha256:0905d6dff57c8af2426a63d8c325476cd07af0a026c439fbff38df81f646213c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.447287Z digest=sha256:7c78917ab1e7824e1c6ad1f080223943963aa4ce4b284c28a3477691c7d1c5fb

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.450632Z digest=sha256:9539661806f7e2acc48d41bd43f98a0f06b7e56291ef1def4d23421cbfcdc3c5

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=sha256:7e6d19a04ee19155381f41973cdb32ab28243359730dc10499057eb87da40fe0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.457107Z digest=sha256:c0c999247ec9bfb16063eaa995c828b7b221a5bc7bd043183da9b7780df6f581

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.460089Z digest=sha256:5c5751bc9f606b2d0882b1881a2225dc99c1d397a82d55fdb6eeed1b44b07999

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.463139Z digest=sha256:27987204303447456b9e66ba36c9e547a2bdb120bbe7d03c901ea575f7f931f1

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=sha256:0bd9f7cc0342f53a476c2d42a718ae22d48e74eb1a92967842b31450f9d076ca

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.469497Z digest=sha256:51cbbb03be819e639a4b0fc33d414f9011c5fa6196f6bcc279f8184d4eacea5e

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=sha256:5c9e91018b20622994c60700ad72053a624c7686ed3c55a31cd281668c930d98

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.476310Z digest=sha256:79717ecec2b6ea48865f353888217c0faf947836a1add1ae87f0d866cc0809dd

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.479395Z digest=sha256:6d8f59dde2bf81ec6a1768ca050c169e80f302898458a4795402a4c025fd213b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.482288Z digest=sha256:77bcdc1826c7b028907dbe4e73e5082f28f0d5a41baf05254cc63f12e7b1e05c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.485247Z digest=sha256:e67aa8317106fa9a7dbcbc17dd3000ecb49d257bb8d5429704a943ecff770583

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.489170Z digest=sha256:78a864a6a415a3c0103898c11865bae2365bed1789c7e4246f47fe3d7c578f3a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.492397Z digest=sha256:5f20fb372ad0c7e8d36593fc5972f256a777250aef85704405d1bf176d812f60

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.495504Z digest=sha256:e037fb34a0da8d6ad967a5af820d94bba8925680ffcedab49350ea2188c3d2a5

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:ce2e8b8798826872a124034d3e2e4ee57a6bf5ff641dbf81ea7f1e1bc0344969

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.502568Z digest=sha256:b081907bb0b9c043b70f1b7747dc3dfd44de25d5093f0e23dc7b76fbcbb4ada1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.505936Z digest=sha256:bac3a7cb8a7812b7398bd2f1eeefe39abf8bb688e6d58054abb76450cbda93d3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.509120Z digest=sha256:21b8c1b343cafbd2826b3c2411ac140082cf0e190bb6f03e119017ff418dbb52

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.512408Z digest=sha256:1123840a2bf89ba09e5cd4f9f381bf725ed1cc441977992d4f6c31552ab95fcc

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.516286Z digest=sha256:efe2649b46d32ccb2df6e8bd86e0ef741a7d0cf18ea7fb34a8dcb9b356b28692

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.519325Z digest=sha256:a66dfd6154d70f1ff199dac126a946ca0652e1bb72fd234441f7586825c724ae

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.522400Z digest=sha256:798bccb67fecf3cc037cad715d027aae4b0c246d85ea6193109f879295e88683

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.525374Z digest=sha256:493e56e449bc2951c19785255a00d4bc686ae8df387e26bc8e8499572682a574

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=sha256:91b467a7d5bef132fd3eca3a8324dcf78b1d6d888b570dd8fc9cf701d8b7eb06

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.532777Z digest=sha256:48301a232dd76fc88a42fadf6326717799f8dcf1b916d060e584048bc05aca3b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.535972Z digest=sha256:598f054baf5f731814ee5739f69b2b236bd31347f33a00154e8920a270a558a4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.539015Z digest=sha256:565abcd104f24d77aab5b747f61c31738f02bad4c3d60185bd3cf9755746245f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.542163Z digest=sha256:aad0bcd6c9de4e5115caa90e629162aeec58cb9edf222e9c3ad161689196b074

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T20:05:04.545309Z digest=sha256:c2a52abdb74ff7a40ad9c9732dfff3a9a81687c986947ac8167316b51a92561b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T20:52:42.972708Z digest=sha256:71efeaf88153ddce08595be8a107f0b739a110396bc5605ed33d4c95f90e837c