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Paper Citation Record · LEDGER

Simple and Deep Graph Convolutional Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.02133.

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

pith.paper-citation-record.v1
2007.02133 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:15:12.348772Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

402
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 04ba4c1d-9420-4d0a-bd92-ee14196757eb · inbound

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search cites this paper.

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search Simple and Deep Graph Convolutional Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T10:15:12.348772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:15:12.348772Z digest=sha256:22a55f75805bd90e7ba1685450b74d77a5b8c9089ef8a56ab3916835a94e8425

Observation ac7c32ad-4ed4-4ba7-9c7f-4748fde3d5ba · inbound

Learning Dynamic Stability Landscapes in Synchronization Networks cites this paper.

Learning Dynamic Stability Landscapes in Synchronization Networks Simple and Deep Graph Convolutional Networks

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:05:21.205000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-25T05:04:16.957305Z digest=sha256:f8b8b7c4c8b5268566f5cc674d80b91d5c61bf63c816ed8fe807c404fecc9240