Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Pairwise Learning for Neural Link Prediction
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2112.02936.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:44:45.405769Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:00:55.675298Z
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 4a2fffcd-bf60-4d46-aa2e-3c2a0879bec7 · inbound
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning cites this paper.
Graph2text or Graph2token: A Perspective of Large Language Models for Graph Learning Pairwise Learning for Neural Link Prediction
Reference 114
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:38:29.268645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f447fb7d-3f4e-41a8-abd6-cf9e4a525e21 · inbound
Transaction Categorization with Relational Deep Learning in QuickBooks cites this paper.
Transaction Categorization with Relational Deep Learning in QuickBooks Pairwise Learning for Neural Link Prediction
Reference 21
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:00:55.678901Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 60cf1eaf-9672-4046-8d76-73f99a5061a2 · inbound
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning cites this paper.
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning Pairwise Learning for Neural Link Prediction
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:44:45.405769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.