Paper Citation Record · LEDGER

Power up! Robust Graph Convolutional Network via Graph Powering

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1905.10029.

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

pith.paper-citation-record.v1
1905.10029 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 2026-08-16T06:30:59.297886+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:30:43.721910Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:36:08.771713Z

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 90605009-f444-4e1d-b5d5-a6348ae645a0 · inbound

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models cites this paper.

AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Power up! Robust Graph Convolutional Network via Graph Powering

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-14T13:30:43.721910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4789c57-971d-4440-944b-6b5f4f4442e9 · inbound

Transferring Robustness for Graph Neural Network Against Poisoning Attacks cites this paper.

Transferring Robustness for Graph Neural Network Against Poisoning Attacks Power up! Robust Graph Convolutional Network via Graph Powering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T12:19:05.574003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1571642-aef2-4e39-bbf1-50aadcb5f86d · inbound

Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair Evaluation cites this paper.

Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair Evaluation Power up! Robust Graph Convolutional Network via Graph Powering

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:36:08.774143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 46d3020d-12fb-4cfb-b3a9-19c9e18ae2d4 · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Power up! Robust Graph Convolutional Network via Graph Powering

Reference 134

Resolution: unresolved; no resolver link, observed 2026-07-31T04:39:47.289568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.