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Paper Citation Record · LEDGER

PairNorm: Tackling Oversmoothing in GNNs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.12223.

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

pith.paper-citation-record.v1
1909.12223 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:29:27.780517Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:14:56.837692Z

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 6a4d0841-e34f-4910-a412-8d13256bb1c3 · inbound

Resolving Oversmoothing with Opinion Dissensus cites this paper.

Resolving Oversmoothing with Opinion Dissensus PairNorm: Tackling Oversmoothing in GNNs

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T21:29:27.780517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:29:27.780517Z digest=sha256:4f2fd4dc4d742c5de2ceef3c1dbda8d1fa649d4d110c1dec67866e1d75b9244e

Observation 10e27c29-a93d-4cdd-9161-737c20ee645a · inbound

Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks cites this paper.

Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks PairNorm: Tackling Oversmoothing in GNNs

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T16:00:51.679258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:00:51.679258Z digest=sha256:7e4dc4c2294c5227190a7ac969435d316da97352f99a5bd32a0f00d0875b459a

Observation 21077fe3-da04-488b-8ccb-c5e17068d8e5 · inbound

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification PairNorm: Tackling Oversmoothing in GNNs

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:34:05.420501Z

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=2026-05-21T08:32:32.410473Z digest=sha256:2650f2f320873322d37e1f086ec6d3c79acf278ab64a1a81f013cd31bb1fafd0

Observation 59fd9ecc-99d8-40d7-ada5-1c2c312aec8e · inbound

Graph Navier Stokes Networks cites this paper.

Graph Navier Stokes Networks PairNorm: Tackling Oversmoothing in GNNs

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:13:58.218597Z

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=2026-05-21T05:12:39.203165Z digest=sha256:87d138c4c4ea4d0ee5916efbd840d07ea441faa8effa87b619f705ec4451a372

Observation 71954b22-0375-4798-81c0-7bb59455f065 · inbound

Graph Navier Stokes Networks cites this paper.

Graph Navier Stokes Networks PairNorm: Tackling Oversmoothing in GNNs

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:56.839216Z

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=2026-06-30T17:11:15.801586Z digest=sha256:16a6961cc3f59547da65b6b54dd2ab94bc4679d67deb0f7aaf675fc764cdc62b

Observation c65eea1d-d21e-4bc7-a43a-885ff985c39d · inbound

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks cites this paper.

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks PairNorm: Tackling Oversmoothing in GNNs

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T22:29:30.758095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:29:30.758095Z digest=sha256:1f431a1f4b53d10c926a75ac9d8fca195e36edf7ff4d155542a43505da7916be