Pith. sign in

Paper Citation Record · LEDGER

Graph Neural Networks: A Review of Methods and Applications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1812.08434.

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

pith.paper-citation-record.v1
1812.08434 v6

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 2026-08-07T11:42:51.637901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:43:55.172073Z

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 c78b8ea0-78c9-44ce-970d-43058a3a2b00 · inbound

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

Fast Training of Sparse Graph Neural Networks on Dense Hardware Graph Neural Networks: A Review of Methods and Applications

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T14:20:55.384249Z

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=sha256:3ed1bbbe98b8ffaca0db667e1f9577e73cebde1decb61d18a524f85b9b6b8337

Observation 9e1e7d97-a564-4d18-be31-8fa1e9f5f549 · inbound

Graph Star Net for Generalized Multi-Task Learning cites this paper.

Graph Star Net for Generalized Multi-Task Learning Graph Neural Networks: A Review of Methods and Applications

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-25T18:56:08.937877Z

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=2026-05-25T18:54:30.043952Z digest=sha256:255c6618ec57e729c8752ebc486570b0baf88790b51eb01f6607cd20f8483532

Observation c3a3b3ac-cdaa-480f-9cfb-f198041f46ee · inbound

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media cites this paper.

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Graph Neural Networks: A Review of Methods and Applications

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:51.637901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:51.637901Z digest=sha256:2efa913ea9416473b8ac09c467d90cc90609d5b35a7693af2808dd51751636ff

Observation e59084c8-0c62-47ff-9fd5-df5ec3df57d8 · inbound

DEF: Diffusion-augmented Ensemble Forecasting cites this paper.

DEF: Diffusion-augmented Ensemble Forecasting Graph Neural Networks: A Review of Methods and Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:01.557679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:01.557679Z digest=sha256:5fe9de81d6c09de9371416b8386132f8c42a0be47ac6a4fe07120e172237c9d2

Observation 40eb1d7b-0ecd-402e-a86b-9f5ef3913b63 · inbound

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems cites this paper.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Graph Neural Networks: A Review of Methods and Applications

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T11:55:51.043984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:55:51.043984Z digest=sha256:15659a2194f8d9b4a0be3d55ec644c0d979e849cb265b34eb7aab2c0fa866fad

Observation 615397d0-2a82-4774-bcbf-51d0ead6c9a6 · inbound

Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework cites this paper.

Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework Graph Neural Networks: A Review of Methods and Applications

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T05:52:52.854064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:52:52.854064Z digest=sha256:0c8c25a595416c8eea6485649282868d22fcb801d0ff800d1bfb1c2e876321ff

Observation 62256264-c9b1-4059-8eb6-1f49c1d7582b · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] Graph Neural Networks: A Review of Methods and Applications

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-03T17:21:35.369438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:21:35.369438Z digest=sha256:16f257a1fd4f51b6e17b1ec4fa32723ae691e789412b3cf88d5687b9a415d19c

Observation edaaf90f-9b38-4681-83ca-d9a924316f58 · inbound

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective Graph Neural Networks: A Review of Methods and Applications

Reference 297

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:46:14.830296Z

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=2026-05-08T11:02:17.987425Z digest=sha256:45d93fb33f0748c49683851b5a382d8804831f65448747a4d24e3ee3701ea3d0

Observation 3694cad6-29dc-45ab-b168-22cbfc31eaf6 · 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 Graph Neural Networks: A Review of Methods and Applications

Reference 232

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:46:06.754051Z

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:df600f868e37a0b52657cd8099fef2af7e9c905e971db0b4ebe46b11b3dc27ff

Observation 1e189d01-327c-4fad-aa15-6fb88be99c9c · inbound

The Montparnasse Algorithm for RNA Design cites this paper.

The Montparnasse Algorithm for RNA Design Graph Neural Networks: A Review of Methods and Applications

Reference 273

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:55.174161Z

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=2026-06-29T19:34:04.075773Z digest=sha256:dbf910b52f7163b0d398c41051a9cb406736b599a4b127b192364bc7a38a41b3