Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2212.07525.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:43.893409Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T12:40:23.831580Z
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 4470f0eb-37ac-4c0a-9e19-65e348c7e71f · inbound
Revisiting Feature Prediction for Learning Visual Representations from Video cites this paper.
Revisiting Feature Prediction for Learning Visual Representations from Video Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
Reference 222
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T12:40:23.833624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ccf72dc3-1cb0-48a4-90b4-35f92071835b · inbound
HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models cites this paper.
HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:15:43.893409Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.