Paper Citation Record · LEDGER

NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2206.04910.

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

pith.paper-citation-record.v1
2206.04910 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:16:19.047471Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:50:28.971124Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d2c47016-4e14-4e1f-b721-53139e174e8f · inbound

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks cites this paper.

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T16:16:19.047471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c397035-610d-4446-ae3a-4ab4ffc0c240 · inbound

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale cites this paper.

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 1997

Resolution: unresolved; no resolver link, observed 2026-08-09T18:13:53.885327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c5af6b5-c470-4691-95ca-5d1e7c5622c8 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:50:28.974966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc17c607-b6b4-4fb9-930d-100d5a5282b0 · inbound

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning cites this paper.

A Hierarchical Quantized Tokenization Framework for Task-Adaptive Graph Representation Learning NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:00:47.299288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17211a6c-6036-4880-bcbd-418154c6ed2d · inbound

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:34:05.471937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 94d6538d-7655-4fab-be7f-69c88e9f5dd5 · inbound

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 cites this paper.

PRIMAL3: Pathfinding via Reinforcement and Imitation Multi-Agent Learning - Leveraging LaCAM3 NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T13:57:14.411745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.