Pith. sign in

Paper Citation Record · LEDGER

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.01524.

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

pith.paper-citation-record.v1
2302.01524 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:48:30.769685Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:38:11.123167Z

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 0865b3b4-ee8c-4192-bbc2-370263a61789 · inbound

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey cites this paper.

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:38:11.126544Z

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.

source=pdf_text observed=2026-05-23T16:38:04.382748Z digest=sha256:1379030a907a7b2eae0717f5b9e3189b9d2f1fce9be4e5f9756f26e94e6fd1bc

Observation be9007ae-67f0-41bd-ac4a-bd773bcd6aa0 · inbound

Geometric deep learning assists protein engineering. Opportunities and Challenges cites this paper.

Geometric deep learning assists protein engineering. Opportunities and Challenges Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Reference 142

Resolution
unresolved
no resolver link, observed 2026-08-06T23:48:30.769685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:48:30.769685Z digest=sha256:b92ae85d9241c10f8a27e10df516269e66efd61b66ba93cf0cb34e171c880da9

Observation 17a20ecd-9c25-40d5-ad92-f937928e71b9 · inbound

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs cites this paper.

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T13:19:11.186234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:19:11.186234Z digest=sha256:74e720fbb7202fecf6ebb6da2c8e190d725434a86234d488ee9c72d5f8cf5007