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Paper Citation Record · LEDGER

WiGNet: Windowed Vision Graph Neural Network

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.00807.

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

pith.paper-citation-record.v1
2410.00807 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T00:36:53.476267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:37:18.734345Z

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 632591ed-1ae2-4bec-a497-cf6144b90458 · inbound

i-WiViG: Interpretable Window Vision GNN cites this paper.

i-WiViG: Interpretable Window Vision GNN WiGNet: Windowed Vision Graph Neural Network

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:37:18.738551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:36:53.476267Z digest=sha256:b4fd82a91d633c1901d64f7d4b25eb4990a55109c30ce7d367fad0fdcf504f49

Observation fde15185-f781-4091-9689-7e6f84b5847e · inbound

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA cites this paper.

GraphLeap: Decoupling Graph Construction and Convolution for Vision GNN Acceleration on FPGA WiGNet: Windowed Vision Graph Neural Network

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:29:06.794382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-09T22:27:03.473914Z digest=sha256:5639a6e77f364137990bd0e31422d0ec80cc9c1e8b0314af29ec359b0254edd2