Paper Citation Record · LEDGER

Unifying Graph Convolutional Neural Networks and Label Propagation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2002.06755.

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

pith.paper-citation-record.v1
2002.06755 v1

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 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:45.569126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:47.627162Z

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 2b228e8d-c087-4e51-a1b4-8c3fba67edf7 · inbound

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning cites this paper.

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T15:09:45.569126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c073dad-f047-467f-8bf7-447b43337d40 · inbound

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding cites this paper.

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:07.174821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd90ca81-a002-4bc5-be71-86e3a39d50f3 · inbound

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions cites this paper.

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:10:15.272069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0412a537-b23e-4613-b85e-90b5b84d6948 · inbound

RANA: Robust Active Learning for Noisy Network Alignment cites this paper.

RANA: Robust Active Learning for Noisy Network Alignment Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T11:47:45.708836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2bd054b-d7b9-4916-a132-fd7e9b414406 · inbound

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks cites this paper.

Learning to Execute Graph Algorithms Exactly with Graph Neural Networks Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-03T06:26:58.115419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 959397b6-1532-49d2-97b0-2a8e2010190a · inbound

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching cites this paper.

Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:47.628648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5a0498e-242d-4936-90b2-2dc7e048c148 · inbound

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

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 93

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:45:40.694408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6829f414-0170-4dec-940c-a6ec062c50b4 · inbound

Multi-Label Node Classification with Label Influence Propagation cites this paper.

Multi-Label Node Classification with Label Influence Propagation Unifying Graph Convolutional Neural Networks and Label Propagation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:57:06.501693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.