Paper Citation Record · LEDGER

PyG-SSL: A Graph Self-Supervised Learning Toolkit

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.21151.

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

pith.paper-citation-record.v1
2412.21151 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:49:14.868974Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:03:51.260445Z

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 f2f44f8a-5ec3-4b70-9194-fa3cae9dd27f · inbound

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence cites this paper.

SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence PyG-SSL: A Graph Self-Supervised Learning Toolkit

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T23:49:14.868974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b069a540-61de-45df-b7dd-039ed8ac2dda · inbound

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting cites this paper.

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting PyG-SSL: A Graph Self-Supervised Learning Toolkit

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:00.450398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41754d56-332d-4819-84df-ea59e02aab4d · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation PyG-SSL: A Graph Self-Supervised Learning Toolkit

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:31:22.150326Z

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 009e781c-8f49-4da3-bf8d-b114ddffe580 · inbound

Generalist Graph Anomaly Detection via Prototype-Based Distillation cites this paper.

Generalist Graph Anomaly Detection via Prototype-Based Distillation PyG-SSL: A Graph Self-Supervised Learning Toolkit

Reference 2

Resolution: malformed identifier; arxiv_id, observed 2026-06-29T19:03:51.262073Z

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.