Paper Citation Record · LEDGER

Attending to Graph Transformers

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2302.04181.

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

pith.paper-citation-record.v1
2302.04181 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:16.332302Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

32
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bb70704b-876e-4642-9b0b-d62b9e477f51 · inbound

Stealing Training Graphs from Graph Neural Networks cites this paper.

Stealing Training Graphs from Graph Neural Networks Attending to Graph Transformers

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-12T18:53:48.092315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aaaadd8-bd1c-4dde-916c-1a306ae61845 · inbound

A Theory for Compressibility of Graph Transformers for Transductive Learning cites this paper.

A Theory for Compressibility of Graph Transformers for Transductive Learning Attending to Graph Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T17:05:46.801789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b8ab57a-5ffe-4a68-9e8b-8422a32a7626 · inbound

Even Sparser Graph Transformers cites this paper.

Even Sparser Graph Transformers Attending to Graph Transformers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T13:22:32.330157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb65df2f-675b-47d7-9d44-c8ebdec77c24 · inbound

ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment cites this paper.

ReHub: Linear Complexity Graph Transformers with Adaptive Hub-Spoke Reassignment Attending to Graph Transformers

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:21:48.005528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57868fdb-6fe7-4fcd-8c75-bfab7485cb60 · inbound

Position-aware Graph Transformer for Recommendation cites this paper.

Position-aware Graph Transformer for Recommendation Attending to Graph Transformers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T04:36:22.658560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a62b7baf-4889-4e2a-a18c-ec3141e572c1 · inbound

CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks cites this paper.

CHAT: Beyond Contrastive Graph Transformer for Link Prediction in Heterogeneous Networks Attending to Graph Transformers

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T22:07:57.720341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2103e3a1-3e40-4714-96dd-a367dd21d151 · inbound

ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction cites this paper.

ASTRA: A Scene-aware TRAnsformer-based model for trajectory prediction Attending to Graph Transformers

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T19:42:13.663750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a7bc871-53d8-4933-a3fc-b9ecbba111d2 · inbound

ReFill: Reinforcement Learning for Fill-In Minimization cites this paper.

ReFill: Reinforcement Learning for Fill-In Minimization Attending to Graph Transformers

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:19.279915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c21110-0764-45e2-af59-83cb10632b25 · inbound

Learnable Spatial-Temporal Positional Encoding for Link Prediction cites this paper.

Learnable Spatial-Temporal Positional Encoding for Link Prediction Attending to Graph Transformers

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:23:53.565570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 474e495e-ad7c-446d-9834-dbdd28eb65d7 · inbound

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control cites this paper.

Local-Canonicalization Equivariant Graph Neural Networks for Sample-Efficient and Generalizable Swarm Robot Control Attending to Graph Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T15:55:16.332302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6df72225-2a00-4bd5-bdde-cf5800a0130d · inbound

Plain Transformers are Surprisingly Powerful Link Predictors cites this paper.

Plain Transformers are Surprisingly Powerful Link Predictors Attending to Graph Transformers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T05:44:25.267065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0c5e4ba-4237-43fc-a3e5-f91f4cc39e2a · inbound

MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model cites this paper.

MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model Attending to Graph Transformers

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T03:50:44.278014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.