Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Supervised Learning for Time Series: Contrastive or Generative?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.09809.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T01:22:51.284207Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T07:13:06.540408Z
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 7d2314ef-1272-4d42-b428-fe7bdaf2c86b · inbound
Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models cites this paper.
Quantifying the Pre-training Dividend: Generative versus Latent Self-Supervised Learning for Time Series Foundation Models Self-Supervised Learning for Time Series: Contrastive or Generative?
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:13:06.542276Z
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 91352f03-be56-4255-a2b6-984aae666eee · inbound
Modular Foundation Models for Time-Series Perception in Digital Twins cites this paper.
Modular Foundation Models for Time-Series Perception in Digital Twins Self-Supervised Learning for Time Series: Contrastive or Generative?
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:22:51.284207Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.