Paper Citation Record · LEDGER

Self-supervised Learning on Graphs: Deep Insights and New Direction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2006.10141.

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

pith.paper-citation-record.v1
2006.10141 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:02.550525Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:47:09.023563Z

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 8b2a4884-437b-4f32-b42a-6a06b01749b0 · inbound

Automatic Self-supervised Learning for Social Recommendations cites this paper.

Automatic Self-supervised Learning for Social Recommendations Self-supervised Learning on Graphs: Deep Insights and New Direction

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:32:42.969395Z

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.

Observation 01d3bef5-d6a9-4577-82a7-8dca287bd9f4 · inbound

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks cites this paper.

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks Self-supervised Learning on Graphs: Deep Insights and New Direction

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:12:38.368827Z

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.

Observation 94302556-a7dd-42da-8ab6-0545798dd23f · inbound

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions cites this paper.

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions Self-supervised Learning on Graphs: Deep Insights and New Direction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:17:16.874805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598bb8f4-bb8a-4ea7-9dbe-b2b5e3bf6510 · inbound

NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing cites this paper.

NOCL: Node-Oriented Conceptualization LLM for Graph Tasks without Message Passing Self-supervised Learning on Graphs: Deep Insights and New Direction

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:02.550525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f839b2ad-1e79-412b-bf30-3f374c66d29c · inbound

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning cites this paper.

SSL4RL: Revisiting Self-supervised Learning as Intrinsic Reward for Visual-Language Reasoning Self-supervised Learning on Graphs: Deep Insights and New Direction

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:24:21.354106Z

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.

Observation fef16bb7-e487-42d8-b66d-5219526b3c08 · inbound

SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport cites this paper.

SAOT: Self-Supervised Continual Graph Learning with Structure-Aware Optimal Transport Self-supervised Learning on Graphs: Deep Insights and New Direction

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:47:09.024877Z

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.