Pith. sign in

Paper Citation Record · LEDGER

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

As of 18 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 2026-08-17T06:30:58.91139+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=sha256:8ab9ed380d21286200c5beb1b0c8a016b4930f364d87ac80e09b8c0f730f7cc2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:30.857314Z digest=sha256:5b4a3e0c3a4aa5bb6548fdf14ffa59434d3603757a598b0b548b3bbe6802c038

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:30.967361Z digest=sha256:2967097cf2747eec4dc80097875ae192aee881b7ca2e2bcb93b94abab79e6204

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=sha256:4094faf53554a2c56fa7499f7d7bd91565eedb2f7ae98381d75ada04c67129f6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:31.204550Z digest=sha256:45bbaa029f8227eff788b0bd9b5bbcf47d4a57af48367ba0ceb57c28f4ac5c08

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:ba9cd21f8c920ec4f513c49c5755ae3942f92adda4217910266f7ef1991c3a9b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:31.449151Z digest=sha256:c6671f066629cfaa7319b94c997e995705135e20350243ed5dc467493c2d8ebb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:31.554001Z digest=sha256:4467cf1308515227f91c49934a36f6fb62a6fcce79911c81dd723d3f8ba111d4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:31.685164Z digest=sha256:75c9914b0b0b9e416b846dcfde1de509da4a6802585669b15978225225bd3d19

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:a3b82d836719eaef6c144aa303b7fd09255caae1bec39a89fc41740b1c6f5751

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:31.898447Z digest=sha256:c26ec04c8ac4c57519da312ca426adc2b99a9bc9dc2b5779cf4198f99088e0f3

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=sha256:28dbb4d9b7b3324a4f7ad4553077ef205854f3f4f54a727f6a166d62a486f9e3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.099242Z digest=sha256:a2d9de8622766e8c55ebf1e6722462464287e007294eacccd69c04cf7f50e227

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=sha256:0ef4b0351778e504ab028f0e14211c7cfe0c6a1e4b56ce904a51aded3adf2711

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.267323Z digest=sha256:8ce3c26753abb3e56452eb53fe5734d496def5a12ebab09d8dc576d95155ef70

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.392199Z digest=sha256:0b2c4dcc7de0abb1157c3f601af4806d604d6e0166b9219d0e8a3f9bb7d9c716

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=sha256:3e41b99842aba20704a11d79f55b5f8ff93b5a172417ecb0eb776bb86721effd

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.531427Z digest=sha256:a59f23afca04b681ea1b0f95e7e79ce808d0b99c1a55795a5206fb637ab5d329

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.622569Z digest=sha256:2c817da6777c3d2ebc235bf7756b5ad08834f93be45df384399b82093dc9481b

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=sha256:28da32437996326264dc6210563c1a14e91aba783d0bbfe9ca0062a1ef7a4b4d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.799727Z digest=sha256:0528b6a7be9cd36861c352530d89abe1dfc1f583029e6aabb1f7ebdcdc4f5763

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.891253Z digest=sha256:e5673a32f559924bca638b81769c7690491458451b10e5c6215a7986283f7532

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:32.996463Z digest=sha256:60ca5a1410c71b73a735ca9517ba8d50169b1bbebd2b75f6411e269f54a4ce67

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:33.093775Z digest=sha256:caa17e3685f92448e4f8229cbc4a7516465fb38e6da2888684540a9d8085a386

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:33.162640Z digest=sha256:13650480e0808376c8d7df56e5ad7515c2a9a4beba2577d7c26417e9436db77c

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=sha256:772204e1b006fca63c94a43dec7d562020fa850249c46b4dae33b95645d8d6e6

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:33.333480Z digest=sha256:e295b7cb05d867ac630b88f20121dd91871d0d671a8bcfa4cb3ba9dc15616635

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:33.395994Z digest=sha256:e41edf27cdcee04a82fd307871d2428a6a185d4206e338ac7206091c8b8afcac

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=sha256:69fab7cc90ed6727e71b8202f4b6d3b8574dc99ef47db3b6f90c4023d6a5321f

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:eb69f98d903d626f0cb9cf48181e5bdb96c51303ff25a91bd79d217733b2a8ac

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:b1af5d1a54085b2f63471e297d82ffd020150052ffccbd1359005afc7b4cfcaa

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:33.740843Z digest=sha256:df5905b96039adc6b82a30c85caf2d142c9270521a6d3b96f2e8dbce3c06f393

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:f91490df90f423ab381f457f184361f0b82043159deca5e9bd23783a4a6db4a0

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:d6d12f05ba9c3499e69054e348e55d074aa50b4567fee1b40a3945dbfd05e47b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:33.950557Z digest=sha256:6427339ff96ff61521a3b64abd3e81de0322d98b004c0a18c37bd8d9f795acb3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:34.019994Z digest=sha256:ecfd9d706a902754425965e37f4695a2467c048cf7e7f37592865d37d2a27887

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=sha256:07e86c8f2af98d897257aac1c826db0279549d8e95273fcd64595edbd56239ad

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.

source=pdf_text observed=2026-08-07T12:10:34.243904Z digest=sha256:98dd6ced6e4d62ff9bd162688486c5d1b67e2ea4e3d28d1a2c726cc627be16cf

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:34.339864Z digest=sha256:3e20b49ea916edcbabeeec37a13431f0c517f78c4c1bb1615748041ba2b482b4

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=sha256:1c0db1d3dd9e5224987060e280f37162e36ac80d25a70d8b58e3dbdcb0a980f4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:34.540727Z digest=sha256:ce3c61647d5e83807a3fa340d49fb36c6db9ade7b0b227884e7144d7135b8699

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=sha256:93926d5f05be7644da6b7919140497c9863b977cfea570864aca38be0da2bff3

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:34.699969Z digest=sha256:3b2252fbdfbb4a1535c57cc2db3391cf799668a4615ea19c2d1e579eb31a4e07

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=sha256:9e3427a3abbe98eb20b02db771455a3d5fa21ac11af32cff592d26134ddfac35

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:35.018846Z digest=sha256:9450077d59cc2d3353c8d8044585b40ca406ae57745a7803bc6854904594901d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T12:10:34.086003Z digest=sha256:57d908b1c20dc00988871b7816c0c776d393ec724ed940912536d7cc544befcc

Pith citing papers

No inbound Pith citation observations are available.