Paper Citation Record · LEDGER

On Self-Distilling Graph Neural Network

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2011.02255.

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

pith.paper-citation-record.v1
2011.02255 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:08:13.358498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:45:54.753685Z

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 31048785-2fa7-4378-aa67-9e4acda90314 · inbound

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods cites this paper.

Lung Disease Detection with Vision Transformers: A Comparative Study of Machine Learning Methods On Self-Distilling Graph Neural Network

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-12T18:37:26.607046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cab61e49-936c-4831-bbe0-bec410805bbd · inbound

GNN's Uncertainty Quantification using Self-Distillation cites this paper.

GNN's Uncertainty Quantification using Self-Distillation On Self-Distilling Graph Neural Network

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:03:41.066787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e408589e-34ad-44b8-8787-24068ec35693 · inbound

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs cites this paper.

ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs On Self-Distilling Graph Neural Network

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T18:08:13.358498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd60499-2062-4f7c-b0ca-7b8c9a589fc4 · inbound

From Model to Data (M2D): Shifting Complexity from GNNs to Graphs for Transparent Graph Learning cites this paper.

From Model to Data (M2D): Shifting Complexity from GNNs to Graphs for Transparent Graph Learning On Self-Distilling Graph Neural Network

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:45:54.775854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.