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Paper Citation Record · LEDGER

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.04579.

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

pith.paper-citation-record.v1
2202.04579 v4

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T04:39:47.820973Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:31:14.137013Z

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 519bbadc-6e06-40f3-9040-b7b062e1eeac · inbound

Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces cites this paper.

Riemannian geometry meets fMRI: the advantages of modeling correlation manifolds and eigenvector subspaces Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:31:14.139336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T07:28:17.313728Z digest=sha256:fccfc61d3105abb92e03d289792f7a6bc3383ac4f1225dab38ced28423b0733c

Observation dbbf273c-795a-49bb-b136-b5df7c2ed3a6 · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs

Reference 255

Resolution
unresolved
no resolver link, observed 2026-07-31T04:39:47.820973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T04:39:47.820973Z digest=sha256:5ea88a49adb9ac33c20617e449d251d15183581fd4f46ce362482eb057822226