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Paper Citation Record · LEDGER

PairNorm: Tackling Oversmoothing in GNNs

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:13:51.395883Z

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 8919d7bf-d5c0-4705-9226-8f56891b470e · inbound

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification cites this paper.

AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification PairNorm: Tackling Oversmoothing in GNNs

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T18:13:51.395883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:13:51.395883Z digest=sha256:a49da87ad30740513f141bc1413a5fa742a7862dc3dd13ca43587b97b5904838

Observation bc1b1f6a-7d30-4ce2-b927-c8bcf39b70b4 · inbound

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation cites this paper.

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation PairNorm: Tackling Oversmoothing in GNNs

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T04:55:49.003011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:55:49.003011Z digest=sha256:cfd2a1fb0f27b8b386c176f966e40b7973302b58c07e4c9e3002726a03dc04e9

Observation 33c2c418-0031-4687-bd22-5296812b208c · inbound

Personalized Layer Selection for Graph Neural Networks cites this paper.

Personalized Layer Selection for Graph Neural Networks PairNorm: Tackling Oversmoothing in GNNs

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T14:51:26.533489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:51:26.533489Z digest=sha256:50d5fd55e8ae06949fd15bdfd4d0eb765400781c29424cddf02d097beee84228

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=sha256:0f746d67b4b9b64cd8fc51cd45b72d891d10e9577a33c14696dcee306c40734a

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:b002288dd59dda116ed697966684ca7b0e9cdbffa564af32f0fd6cccf5cb0920

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T08:32:32.410473Z digest=sha256:dffcb2b68eab5425e860a66c9eeaf2267a148e7095394c0d13b6cdb98a6cc741

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T05:12:39.203165Z digest=sha256:35651b4398ba0fd2498363a093b382fad891a7523e72f121b4de5facdc2d1225

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T17:11:15.801586Z digest=sha256:b1c9e0af541c686f1a230c1e7ee95263de4aa15fa542ef39da4300a83c647b4d

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=sha256:85e14e4aa3d53826c179d270939512725accb94af3e0e6d3ce0a824f5627ea6e