Pith. sign in

Paper Citation Record · LEDGER

Uncertainty in Graph Neural Networks: A Survey

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.07185.

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

pith.paper-citation-record.v1
2403.07185 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:46:26.717359Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:05:50.263367Z

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 c24a05cd-dda2-413e-b484-059f1e8e6ff4 · inbound

RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation cites this paper.

RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation Uncertainty in Graph Neural Networks: A Survey

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:05:50.266424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-23T22:04:16.616559Z digest=sha256:55e323fe5d08def52fd3fe1e5a89517257de1cf555b597db1d1a96cb6ea5b38d

Observation f1af39f1-9f04-464b-8b2f-687c53f0ff33 · inbound

Node Classification With Integrated Reject Option cites this paper.

Node Classification With Integrated Reject Option Uncertainty in Graph Neural Networks: A Survey

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:26.717359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:46:26.717359Z digest=sha256:685d47bbcb9b097d655484fc2b1c4b0452369bfc6ef6021f006f34bd74866338

Observation 05624081-2b8c-4e10-b37f-a7412647c957 · inbound

REGE: A Method for Incorporating Uncertainty in Graph Embeddings cites this paper.

REGE: A Method for Incorporating Uncertainty in Graph Embeddings Uncertainty in Graph Neural Networks: A Survey

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T20:30:56.098901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:30:56.098901Z digest=sha256:a6342e1cc3e1349a2d8ca1fbff2a019fe825ab1c358b9c3460c32a6846ea075f

Observation d6d46e85-cd9a-4e83-9062-78f2e1f05451 · inbound

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation cites this paper.

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation Uncertainty in Graph Neural Networks: A Survey

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T14:43:32.633585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:43:32.633585Z digest=sha256:7def8bfe7e89a4cd43a7a7dff74a836c59a83305e9348f1e9f2ced96978b5937

Observation d126aa10-8a0a-448c-be7f-0e25b0553445 · inbound

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training cites this paper.

Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training Uncertainty in Graph Neural Networks: A Survey

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T22:09:36.739301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:09:36.739301Z digest=sha256:10faf077d17d920f1f4c7b54323861c59f4c44470390536c03d3223a4b1cbf2e

Observation a4af32a1-f492-4e93-adf4-4d682f4d9f9e · inbound

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks cites this paper.

Is Your Explanation Reliable: Confidence-Aware Explanation on Graph Neural Networks Uncertainty in Graph Neural Networks: A Survey

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:10:58.231099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:10:58.231099Z digest=sha256:ef131c670d0eb6de2b2f0cf8d7e31403b6a4ff9852cf32ff9ed229e9ceb76078

Observation 6b2ff7ea-267f-41c0-99e7-b151399528af · inbound

GNN's Uncertainty Quantification using Self-Distillation cites this paper.

GNN's Uncertainty Quantification using Self-Distillation Uncertainty in Graph Neural Networks: A Survey

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:03:43.763085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:03:43.763085Z digest=sha256:5c1f755d1a042ff6f61b0a672a39d9f17c63d91866d66436f35d49e6a1e084ee

Observation 329db195-7330-4e4f-b889-564723ad8377 · inbound

Random-Set Graph Neural Networks cites this paper.

Random-Set Graph Neural Networks Uncertainty in Graph Neural Networks: A Survey

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:17:18.146518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T05:15:55.175024Z digest=sha256:0b594e45302c5eb9f9efcfc564dcfd3a5b8988945d5d7c1a020652b39483c2a3