Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:a3099645f344e070ab6be28a58674bc77d6b7a5c924d5552d3874b3e0adedc1a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:30.857314Z digest=sha256:2c56050a8afb11735d41f5e90210da43ffe834e686541e6aaa7348bdee55bb87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:30.967361Z digest=sha256:796d36230c5d3dda863947f07148bdb2391b962ba9c69fa76628b9db55c25391

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:ba291a6668c78ff6a8c702daf901a1fa904a10f3c1b07e16311ec05163ea4cd4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:31.204550Z digest=sha256:e944850e4783f4be1f2c9cb5e3dc06138f37fa2ed6ae0c6fb0d85b32ce364795

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:c19739760c2712623dd8782feb7ba6af3fab79a5ff3943a3f79716ae04603856

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:31.449151Z digest=sha256:991edc458dac60e7c498be5fe4fe24088c210615f773a855d37e360bfdc66bfd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:31.554001Z digest=sha256:3bb3f410724cd205385daede8db17816a350c2e56f080d0ed41f7cdaa6d4fa0b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:31.685164Z digest=sha256:f361ef982aef2fd99bc806f03aa3f6b50fa068506a1f22374d3a0e45b4920e04

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=sha256:044cf218c961c84bd07945bce9b9888867c4ffbd6016e2a482bf067c802ae243

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:31.898447Z digest=sha256:80751a9d808233ac9b57748d7ab13123feba3063fc159e0ae43ce9b881c89add

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:d6304fd949f96d6ea8ff2981cebf92fb4f2cea3a859e928a356ba0c73af7fe0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.099242Z digest=sha256:299870c261dde85c36238bd915a7395d4af50df16a2e19256dc53ab7b07b2fdc

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:ca31a258397f8f81a0824158455f38be81835a837626312d065d859396d7f437

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.267323Z digest=sha256:4cab36f810b92c1c32ecee3d4c49ce415076ea781d182dfa5903f3e14ab754fe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.392199Z digest=sha256:d25b325180ebe371db0eb8f790bf00d8b56597dbca2e50b6cfa46b6cf700f2a8

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:a707d487bacdfa3d0b2ec037cb8b430ccd3febda4bdb46b1edec09269e2dcb2b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.531427Z digest=sha256:917f534ba0b08fc58c245b2513d505c311669596bca06319f70cd4a570fda696

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.622569Z digest=sha256:8b64a22999412a0e310fd5ee793618bb41f472c976801db8bbfdde06fec533df

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:d9bf07801c3d5533ba911070523aa39b02c3ae3c394b3524329d3b8b828fea78

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.799727Z digest=sha256:9c2b66603a405d8a7d9d6af566eba29c8347dda4c6b814430b24ff81cecb0fe6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.891253Z digest=sha256:f57d68f2e132e068cb6f8e3d0dcd68c9e0e430a0bf771ed938284e242ad81764

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:32.996463Z digest=sha256:230264c7e4ddc33e9ae28f92cc554a78871ace21c4914b394ab291b7dd0deee3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:33.093775Z digest=sha256:3974ab8950c1b57d331f699e7adff6c73584e583b90491a4e025d60d4eecde96

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:33.162640Z digest=sha256:47d44d58a361b3f435cee03b8116b2923cce6e1a62fd7473275bfdc8354f6901

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=sha256:7a3f70834a24fddd3afd5d21557bdf30793cd69c22259972cd4c0af476ab4816

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:33.333480Z digest=sha256:a669a913d3d4f8c7a759196e7dfcfa4bd8e5a2ea7d00e6208ddc5584cdf2cafb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:33.395994Z digest=sha256:a098b51a0b49b522eb1c0a3510e740d538a7d93bfd1b6451ac6b5089a2692669

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:d73291506c0ca7a55163f4dd02a0ad422e692b5e9f440486b18bbe09f7624a6e

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:c9b2f5324ad3540897d0d1b4481eed8a3dbe7935e7b142cfd1820d21d9b2d97f

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:d195c64e162679f4e559a426244378a8a3d896182e15a35cba749d4bd48e6c94

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:33.740843Z digest=sha256:ab4162342cbded470864ccb7fbd4c08fc090bae068e0599f445eefa2938f3e36

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=sha256:245f461f45d2c227820629275005ab69726932899b08df0e4cc27b3caa193ed1

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=sha256:6155a15f6da7ecc09e23273609035fdc7d1dfe8de934468b1d972baa81738700

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:33.950557Z digest=sha256:cfa53d349feca70252d7eb1b1a27039253eeeb0d555c3ba1ad3cd28f8e693502

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:34.019994Z digest=sha256:da1de1791ee5fd7f8e35f42fc3c7277aa929ca9c8e3c0342d22652d12b96fd09

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=sha256:4c3e1ad49ee78431fdfed3f70c45d00d8b5bc83b66695ab69ab6b7545fd9c030

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=sha256:414054968da980ace05907204f5bf9e80b2d01de5f88035e3e4c545391a1d2fe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:34.339864Z digest=sha256:a3a1186637408b59e0af7eed5eb94c44ac4570549f9f0bdb96d1c407217f09f1

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=sha256:736f0ea021193f464693c185be4af64e3094a1aac5351db4c155932b33d7bae8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:34.540727Z digest=sha256:2c95b0332aeb1ac0aac1e1342c7f95df06e7ed7db48f754067feef59782c7380

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:e71a12a408fd7118e38ecccc9cbaad383bf763a1f20bad46521879b76840568b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:34.699969Z digest=sha256:71c9a40103822c77011b05cc1aea12d6276d042fca1b386f310fd27804d54c2b

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:d4ff9c9040a9bf0b9811f55cbb16fce62d1c8b2dfc1ff3af910e6f615d29a2bb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:35.018846Z digest=sha256:864093e21028718db23ec0145f8c4f5afbe2308a72068941e0501a457e15d538

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:10:34.086003Z digest=sha256:eaa02756cba60d4530444b6f503c995c35002e88368f03fc0bdf1613fbea5985

Pith citing papers

No inbound Pith citation observations are available.