Pith. sign in

Paper Citation Record · LEDGER

A Comprehensive Survey on Graph Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1901.00596.

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

pith.paper-citation-record.v1
1901.00596 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:32:55.535511Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:23:30.949812Z

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 f9188c6d-d194-49a3-98f0-80709ef466e8 · inbound

Fast Training of Sparse Graph Neural Networks on Dense Hardware cites this paper.

Fast Training of Sparse Graph Neural Networks on Dense Hardware A Comprehensive Survey on Graph Neural Networks

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-25T14:20:55.405127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T14:19:33.774814Z digest=sha256:d22f46a0f3973a0dc094d256376361294823a3d5472268b50fc783a05622a50a

Observation 28e90306-be41-4b0c-a3cf-9d7293da4e0d · inbound

Tracking Temporal Evolution of Graphs using Non-Timestamped Data cites this paper.

Tracking Temporal Evolution of Graphs using Non-Timestamped Data A Comprehensive Survey on Graph Neural Networks

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:55:33.021138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T08:53:00.590168Z digest=sha256:a62d30e13505c7f272e1bde737859a9efcad22ded934343fc93818a0d321026a

Observation 466ad478-53dc-4931-9879-5b59088d605c · inbound

Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification cites this paper.

Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification A Comprehensive Survey on Graph Neural Networks

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-24T22:20:00.897730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T22:18:01.066556Z digest=sha256:04f81c743f42208dd7e28cba476cb6dde522ae131ae903497f2b343341c0177f

Observation 6548666c-62f8-4064-b030-aac4ded33482 · inbound

A Graph Neural Network Approach for Scalable Wireless Power Control cites this paper.

A Graph Neural Network Approach for Scalable Wireless Power Control A Comprehensive Survey on Graph Neural Networks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-24T18:56:19.276575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T18:55:32.983673Z digest=sha256:5311f19e1eaa138a222660da59f9e91e76699dcb511bbf57520bf99079125f30

Observation 8473402f-6e6f-4325-ba10-169ea955e3da · inbound

Spectral-based Graph Convolutional Network for Directed Graphs cites this paper.

Spectral-based Graph Convolutional Network for Directed Graphs A Comprehensive Survey on Graph Neural Networks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-24T18:39:48.976713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T18:37:53.827824Z digest=sha256:e4854c9950d37b3bac49e5a510a660802026d51a6bf51012bfa55ceadad3902f

Observation fb8cd450-4f46-4ed1-8bb7-d39a860b0187 · inbound

Learning Traffic Anomalies from Generative Models on Real-Time Observations cites this paper.

Learning Traffic Anomalies from Generative Models on Real-Time Observations A Comprehensive Survey on Graph Neural Networks

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-09T15:32:55.535511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:32:55.535511Z digest=sha256:6649bb6bd5cf7256b1f768c098d785c81cb1db1cc94c825a6664fecb0b20e679

Observation bdebe5a9-343f-4b6c-a866-f98757f27a89 · inbound

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs cites this paper.

Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs A Comprehensive Survey on Graph Neural Networks

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T13:19:11.499175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:19:11.499175Z digest=sha256:834043d46f15944a3950c6ceb507e9b8e9a30a599ca5051906577ad7fdfca9d3

Observation 8311012b-8643-4873-bb1f-4a40a8f42c70 · inbound

Graph Property Inference in Small Language Models: Effects of Representation and Reasoning Strategy cites this paper.

Graph Property Inference in Small Language Models: Effects of Representation and Reasoning Strategy A Comprehensive Survey on Graph Neural Networks

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T20:10:18.537039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T20:07:07.522017Z digest=sha256:ab4cfc0ba01b5f8daf314d69db546416dae1e55d8221ee26e5d7085df2cf9529

Observation 0708c3b7-1c54-4389-bd5f-4ff1df34fded · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks A Comprehensive Survey on Graph Neural Networks

Reference 175

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:46:06.745527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-09T15:09:03.417040Z digest=sha256:1cde6e561694420a43e42807642e8afffc11f081c86b8d5c19bd71f5177c2b25

Observation 2b80ce70-4aa9-43b0-ae9a-180990274a9f · inbound

Designing Active Tether-Net Systems for Space Debris Capture with Graph-Learning-Aided Mixed-Combinatorial Optimization cites this paper.

Designing Active Tether-Net Systems for Space Debris Capture with Graph-Learning-Aided Mixed-Combinatorial Optimization A Comprehensive Survey on Graph Neural Networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:23:30.951778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T14:14:58.355961Z digest=sha256:4393e2558cd7ca06911d0ecfbe987e22c6c082239c0dfd9e8e92de4020980863