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Paper Citation Record · LEDGER

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer

As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2506.00431.

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

pith.paper-citation-record.v1
2506.00431 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:10:35.018846Z

measured 46 of 46 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 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

46 of 46 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab4f750d-1e09-4fc5-9741-2ca0b4be7095 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:30.796153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:30.796153Z digest=sha256:d4d70b2fdb965b139dbbe52d29a3c0f2789e7454fe3f982cf22f6f480b2c1100

Observation a265286f-a409-498b-b5b9-8f80f695664a · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:40.494765Z

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=pdf_text observed=2026-08-07T12:10:30.857314Z digest=sha256:ff5f06313e49e126b3e593d71ad3cc70d3b8496971eb07c5ef2270762b80e993

Observation 770cfa87-4653-4807-8c6c-4d5b6f3aa678 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:40.330252Z

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=pdf_text observed=2026-08-07T12:10:30.967361Z digest=sha256:c68fe6fcb329a755c44db3183b4b4e8f0632cd8b48e7fcad4a4d31892a3b5203

Observation 1db05e41-42ff-4c63-b2a2-2c1e55b250a1 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:31.079584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:31.079584Z digest=sha256:9858168e87b75be8f784430acd7c0aee5c5065f39da1065f14974d64f7276e6d

Observation 253a56f3-79b3-4f85-99fb-78b1ec82549d · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:40.141766Z

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=pdf_text observed=2026-08-07T12:10:31.204550Z digest=sha256:48e1a1aa9b31bfa60a362f6cb2486fb5a4f19110cd560deb001caf7e391be8a8

Observation ccd23730-2b86-45b4-ac76-9bf9bb8a0855 · outbound

This paper cites DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer DyFormer: A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:31.336780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:31.336780Z digest=sha256:30aa84f20a5f961120f3e60ed81046760d637a98f27f3199deec34c82e71a159

Observation 551b29d1-aedc-43b6-851f-fdb2ed180e28 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:39.971949Z

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=pdf_text observed=2026-08-07T12:10:31.449151Z digest=sha256:03087172164d524b49fc5bf405a2161b49778e472fe0116b9fcf19ae1896b15b

Observation 0498c0da-5527-40aa-a22c-dd33f6c9c5ec · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:39.821587Z

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=pdf_text observed=2026-08-07T12:10:31.554001Z digest=sha256:8f88ca7857f59e36db6f6c181fe8b41620ec23f3a7592345ead9cc9101494fde

Observation af9ae077-34e4-416c-9f3a-44078276f349 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:39.612386Z

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=pdf_text observed=2026-08-07T12:10:31.685164Z digest=sha256:2035d11ba805e5c2605c40b179b41394a6fa88064106f43e1b0618687bb854b6

Observation 8d9b8988-7771-443b-829b-d82a72c0a6e1 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:31.819257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:31.819257Z digest=sha256:aade2d26ad3a3b6d2db5030a24ee8cff76ba3d97e59353bbf66202e162eb3eae

Observation 4fbbffa1-0da3-48e7-8d6f-c250a83ff646 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:39.368297Z

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=pdf_text observed=2026-08-07T12:10:31.898447Z digest=sha256:5776b5cabc42ef668831465ddafdc271711aa77228cc14ac7592289af7300f4e

Observation 079938e8-2bf4-4221-a09d-235134a68175 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Semi-Supervised Classification with Graph Convolutional Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:31.999440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:31.999440Z digest=sha256:18576eefb61103fdfbb065a45be83bdab19286bc40c3997a4710561de1266a97

Observation 734db9b0-c68b-4e54-b707-212e0840e561 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:39.075078Z

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=pdf_text observed=2026-08-07T12:10:32.099242Z digest=sha256:e75c58b9798207f5d66aff8dc21094165295bcaa0cdf27f9feef23328e70a989

Observation a0e82eec-93a8-42d1-848d-16817b004086 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:32.191973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:32.191973Z digest=sha256:f133eda5a4707d8fcb66773a37cc0fbf9bedccbb5de2d4efab5433fc8fb82b48

Observation fb292487-360b-46a1-a955-67aedc6ef4a9 · outbound

This paper cites Improving Temporal Link Prediction via Temporal Walk Matrix Projection.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Improving Temporal Link Prediction via Temporal Walk Matrix Projection

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:10:35.726590Z

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=pdf_text observed=2026-08-07T12:10:32.267323Z digest=sha256:9bf8da3840be657e085ab50d4b35c96ef2b19dc04a32aa4f038206ab06bf58c9

Observation 4b9970d8-ba5a-4c49-a9e2-322f6862c68c · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:38.824165Z

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=pdf_text observed=2026-08-07T12:10:32.392199Z digest=sha256:59b739c3ba7216a3af5d41a7f0492358aeae3330ac4ecb26dbaaa109d705a764

Observation 88be94e9-9c66-4781-a228-c3fd63587e2a · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:32.463999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:32.463999Z digest=sha256:fedf99371854d4eda2810def772ea4c42cea480f7a2fb44e9a84e2e8773d6551

Observation dc69335d-5aa5-47d7-8725-5323c00249b4 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:38.674843Z

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=pdf_text observed=2026-08-07T12:10:32.531427Z digest=sha256:dc68de3d731d82b89ef6ded2460eb8a41bd6babd73910fed0149ab30c9608947

Observation ec42668a-0edf-4acd-b2f6-64c73adcc720 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:38.477917Z

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=pdf_text observed=2026-08-07T12:10:32.622569Z digest=sha256:58a85522e6edd83caebfdd66dfa11f12654e1326082f2fd976b31c9de8f6198c

Observation 39471290-9b88-475b-9437-643a0d5ccb18 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:32.707695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:32.707695Z digest=sha256:926e4ad68404ecefeda51d62e96f6ec6bbeb7f88599c02e50e0a93e7cd2e51b0

Observation 070e99c7-d71f-43ca-992b-8ce63daeab08 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:38.322650Z

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=pdf_text observed=2026-08-07T12:10:32.799727Z digest=sha256:2b98a1e028d7b3ac99d521321c40396b1d594d4ae0aba0bd27ee4882af2f16b4

Observation 86388d0b-f974-457b-ab3e-b0d0577cf00d · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:38.118059Z

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=pdf_text observed=2026-08-07T12:10:32.891253Z digest=sha256:7cbe81f10727e6236a2c2a97185ea2c55f89cbf5f93de3abb25f2392996143fc

Observation 974537e3-0f45-4513-8189-63c252bb35de · outbound

This paper cites 1995.Fourier transforms.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer 1995.Fourier transforms

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:37.817044Z

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=pdf_text observed=2026-08-07T12:10:32.996463Z digest=sha256:d89e339b8d1884b4a5a5981a835acba24ba94b568b8eb347ac9b826638cc66d1

Observation 33524fdd-8ef6-426b-8a87-9342560a4086 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:37.643357Z

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=pdf_text observed=2026-08-07T12:10:33.093775Z digest=sha256:aca088b7ef1c3dd9980ef01ac5e5d92fcdff04417d8055199d23bed4c9eab9be

Observation a023056f-8649-43c4-a074-c109657d2b46 · outbound

This paper cites Souza, Diego Mesquita, Samuel Kaski, and Vikas Garg.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Souza, Diego Mesquita, Samuel Kaski, and Vikas Garg

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:37.353650Z

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=pdf_text observed=2026-08-07T12:10:33.162640Z digest=sha256:8d4f26b5e3418ac7d565525e77ef6d4a3d862fec1fd9bb3fa95d3f98759668c5

Observation 6c117719-2af6-4e0e-ac4b-2ec443e9568e · outbound

This paper cites PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:33.255894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:33.255894Z digest=sha256:f866b43424d9204fc73b011a4d099f3d15789c1a99f0f9a7b2c2f741397996be

Observation 015e3a81-739e-4923-b63d-730bd9449ac8 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:37.063545Z

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=pdf_text observed=2026-08-07T12:10:33.333480Z digest=sha256:f563a595ff9c1a2db8c041c854a96d179e3bbc21df7b418f1f18e90e7050bfc6

Observation c0502d6c-81fa-4c1b-985d-561cbffd0d5a · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:36.852448Z

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=pdf_text observed=2026-08-07T12:10:33.395994Z digest=sha256:efda7e68da65f9a20e94f0abf24e6a870b861d5ce0643c92eb8349b40a8fa888

Observation 721754c4-b3a7-46d9-9837-1a0833a4c2db · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:33.463666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:33.463666Z digest=sha256:3262cb3e47caa6864fd99932337f03186827bd2c512dccad9f4ca7eaa156096e

Observation c15107d9-7b20-4962-9619-1334b5a727e8 · outbound

This paper cites Graph Attention Networks.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Graph Attention Networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:33.551281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:33.551281Z digest=sha256:97b18cc7c44e77b0d56c5e765539093aa9ec5471143f5a2129fc48544d57c6ca

Observation a0aab78d-8983-46b0-8a69-bfa7fb528779 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:33.631583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:33.631583Z digest=sha256:7c8281ce293090afb3ee48c739a9632e0f08195490ad65746c6a1fc6eed378bf

Observation 0d873f0b-a443-4f26-abf3-7b508d28e4f1 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:36.712860Z

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=pdf_text observed=2026-08-07T12:10:33.740843Z digest=sha256:7663b3ff989ef8b639e62df7d55801e53a95a49c5a710690f64d1098a08700b3

Observation 406d3fba-6da0-44d2-9fda-76492f35ad79 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:33.817943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:33.817943Z digest=sha256:ff06e31e90710d0d62b96b623e170e7588d3c75684dd273a720eb97ade9f3629

Observation b041fa70-268c-4b85-9d85-64eb79865155 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:33.883098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:33.883098Z digest=sha256:1664b51a636b805c8dde33428177939b9b3e034b5aa908d70e1040e6eedc2382

Observation 4b0f87ca-c7db-4fce-8769-e9172a3cf1ce · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:36.537380Z

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=pdf_text observed=2026-08-07T12:10:33.950557Z digest=sha256:703a38cc37f164f60d8a875f7286a9d03b054590522d2f9340e7b3e9a948ab46

Observation a583bb4c-4f8c-445f-97a0-e82a2d6d7f5d · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:36.387598Z

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=pdf_text observed=2026-08-07T12:10:34.019994Z digest=sha256:afc6b32c89ab43e80212735d18ad0931f4a5e9842da36b43306bdcb89fdf5248

Observation b31d4381-f3fb-4b6d-ba94-876a3fb76bdf · outbound

This paper cites TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:34.172591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:34.172591Z digest=sha256:604b4f89a8ecc4c9f76edff4444e55757fba5ef92655cb526a87234bf8e1b041

Observation f44d3077-ad32-4b02-96ca-f3a9da0d9e7a · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:34.243904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eddf1716-29b7-4320-866c-9605adc1a358 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:36.125149Z

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.

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Observation 0a316d9a-3ed4-4d48-ad45-c95aed1e6d28 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:34.432656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:34.432656Z digest=sha256:b9e0ca434acf95a66b5d09b7013bd2925a11f46728c9ae97ffcf0149b4e8cf00

Observation daea13f9-bce5-4d83-87d2-34b3da5496f3 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:36.007096Z

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.

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Observation 5ab111de-b238-49b7-bace-b31898bfbd4f · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:34.613612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:34.613612Z digest=sha256:1b5eca1dd38c13446caf8b71f2b810cffa7b31e5e2669e9c784db9f558971255

Observation 724151cf-4b5b-4536-ae14-1649057ba675 · outbound

This paper cites an unresolved cited work.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:10:35.871151Z

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.

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Observation 2ad9140d-2a5c-45fc-9943-8eb1ef4e3df6 · outbound

This paper cites A survey of dynamic graph neural networks.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer A survey of dynamic graph neural networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:34.813721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:34.813721Z digest=sha256:4c9b22b1b88b7d05802a586a5c59bb4777e62ae9948b832bf3f558ff8bc1518d

Observation cce598f5-54b2-422e-8a08-781a079e710d · outbound

This paper cites Repeat-Aware Neighbor Sampling for Dynamic Graph Learning.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer Repeat-Aware Neighbor Sampling for Dynamic Graph Learning

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:10:35.405646Z

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=pdf_text observed=2026-08-07T12:10:35.018846Z digest=sha256:eb49e60bad26d387dacad0aa9a330d9425b5ff65289cf1024973241871e1bd72

Observation 7a8eceb6-3651-4c08-9b02-96a078a22112 · outbound

This paper cites In8th International Conference on Learning Representations.

TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer In8th International Conference on Learning Representations

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:10:36.256649Z

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=pdf_text observed=2026-08-07T12:10:34.086003Z digest=sha256:af028308e18e8b69f19b79870b60a5b5d4f987f49930a02437a8b018f8a48fb2

Pith citing papers

No inbound Pith citation observations are available.