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Paper Citation Record · LEDGER

Discovering Invariant Neighborhood Patterns for Heterophilic Graphs

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.10572.

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

pith.paper-citation-record.v1
2403.10572 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:28:26.151177Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:44:11.185159Z

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 0e84e4cd-eb52-4f31-8223-0e8227e20846 · inbound

ScaleNet: Scale Invariance Learning in Directed Graphs cites this paper.

ScaleNet: Scale Invariance Learning in Directed Graphs Discovering Invariant Neighborhood Patterns for Heterophilic Graphs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T21:28:26.151177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:26.151177Z digest=sha256:76106e621d9b30b2f94352ef9babaf09b8a516e6946e2ca5b9013005e3527040

Observation 0553ec6f-9d58-4d0f-b0ba-e840de6babbf · inbound

Unifying Adversarial Perturbation for Graph Neural Networks cites this paper.

Unifying Adversarial Perturbation for Graph Neural Networks Discovering Invariant Neighborhood Patterns for Heterophilic Graphs

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:44:11.260459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:44:10.854603Z digest=sha256:6811d9c1a69cce518c44548302da049c65d544e1e78ae08b991a05c46121fe3d