Paper Citation Record · LEDGER

DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1907.10903.

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

pith.paper-citation-record.v1
1907.10903 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:45:50.823449Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:30.938472Z

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 c57110d0-75f0-4dae-8a31-fed224b0cf65 · inbound

xAI-Drop: Don't Use What You Cannot Explain cites this paper.

xAI-Drop: Don't Use What You Cannot Explain DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:03:34.661106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9b5c6070-61d9-4bd3-a702-22c4a26c07e4 · inbound

Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks cites this paper.

Asynchronous Message Passing for Addressing Oversquashing in Graph Neural Networks DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T23:12:23.445107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9cacac8-c0fd-46ba-bf35-56ff472757c4 · inbound

AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs cites this paper.

AEGIS: Authentic Edge Growth In Sparsity for Link Prediction in Edge-Sparse Bipartite Knowledge Graphs DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:52:39.071093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1a99107f-9cce-4ba0-9303-7213a2b06e83 · inbound

From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning cites this paper.

From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T12:13:08.410634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c65404e3-0fcc-4ec9-9c5e-602c255cbc08 · inbound

Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs cites this paper.

Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:46:08.147801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 47cc5170-934a-46e4-a7a5-4b70237dca6c · inbound

A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks cites this paper.

A Unified Benchmark for Evaluating Knowledge Graph Construction Methods and Graph Neural Networks DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 124

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:46:13.516179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ad8762c-c63a-4ff8-8678-16b889f04cae · inbound

Learning over Positive and Negative Edges with Contrastive Message Passing cites this paper.

Learning over Positive and Negative Edges with Contrastive Message Passing DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:33:16.857717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 73f7b33c-9610-4d01-8b8f-2662ddbaeb26 · inbound

EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly cites this paper.

EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.336853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7bf31139-2009-4420-9cdc-c6eae4b7d26a · inbound

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

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:34:05.430893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 74de1410-9f88-4e84-be94-0ee4cc6feb5a · inbound

Topology-Aware Gaussian Graph Repair for Robust Graph Neural Networks cites this paper.

Topology-Aware Gaussian Graph Repair for Robust Graph Neural Networks DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:46:26.741573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 825f8170-31d1-4276-b14b-24383a3ffbba · inbound

From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction cites this paper.

From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:17:30.939991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7a3a992-a296-4132-b578-b445e46df096 · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 223

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:45:40.714825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d29e18a9-9eb4-43f0-aa23-caae38afb422 · 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 DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:29:30.643942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aea5c00a-d9af-4b5d-a496-151bb8f572af · inbound

LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics cites this paper.

LAEF: A Lead-Agnostic ECG Foundation Model Towards Point-of-Care Diagnostics DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Reference 178

Resolution: unresolved; no resolver link, observed 2026-08-05T14:45:50.823449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.