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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:30:06.000233Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T16:38:04.382748Z digest=sha256:713f606b8353e29a4ce7a71bf2eb1597166617b273732806b3f834e7773624bb

Observation 222dd4f2-0384-4e13-8788-8126c1e99b5f · inbound

A Generative Graph Contrastive Learning Model with Global Signal cites this paper.

A Generative Graph Contrastive Learning Model with Global Signal Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T10:30:06.000233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:30:06.000233Z digest=sha256:452fb7d96553fb4dc75529c69a4b8b080673d4d18cbd1259208865b214bf2442

Observation 18771e54-1453-44cf-8bfc-82060b0763cb · inbound

It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph cites this paper.

It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:59.291674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:59.291674Z digest=sha256:f931d05ada9ca27f4ace2c6181c3ee5f7325917204778b9573f3338875699c54

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=sha256:227e19e89a386ace5afef003ca7869f3bad844b7635f9f30c883a5ef55c7849c

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=sha256:611c1ea506fc17c4e5ba0f9cabe44bf969f7429be84c5f5da249643f9d1379f8