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Paper Citation Record · LEDGER

Rethinking Graph Transformers with Spectral Attention

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.03893.

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

pith.paper-citation-record.v1
2106.03893 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:05:46.771587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:33:15.260473Z

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 4552ca4e-142a-4712-a62f-0045680b330d · inbound

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

A Theory for Compressibility of Graph Transformers for Transductive Learning Rethinking Graph Transformers with Spectral Attention

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T17:05:46.771587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:05:46.771587Z digest=sha256:cf14b644b3248ff0655ff0e3f0a083d9a771794ff1d9aaecef380358e686bd7e

Observation 1e86cf4a-3f05-439e-8086-c3de06591e6a · inbound

Even Sparser Graph Transformers cites this paper.

Even Sparser Graph Transformers Rethinking Graph Transformers with Spectral Attention

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T13:22:32.307872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:22:32.307872Z digest=sha256:947368359f0d0f2eb48b2bea968de0d8e3750f5297075f9465d802e1bedcd58f

Observation 12a4b56d-c309-4456-bff5-7a714112a8e0 · inbound

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model cites this paper.

GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model Rethinking Graph Transformers with Spectral Attention

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:31:08.884930Z

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=2026-05-08T11:46:42.010486Z digest=sha256:aeb144ff3424e8b439c17a527f56f6d364875ff26406c8254f7db3218df4cccb

Observation 748d18a1-6e3f-43ce-8369-d929077103bf · inbound

When Do Graph Foundation Models Transfer? A Data-Centric Theory cites this paper.

When Do Graph Foundation Models Transfer? A Data-Centric Theory Rethinking Graph Transformers with Spectral Attention

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:15.261765Z

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=arxiv_source observed=2026-06-29T08:29:37.039306Z digest=sha256:628116e4f839559a76f1fe2f440a6840b3697c5309e9b91bcd223326746c1d5b