Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Supervised Fine-tuning in turn Improves Visual Foundation Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.10222.
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 2026-08-16T12:19:43.389601Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T10:25:41.400614Z
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 659e493d-51bf-409d-81fa-1a2d17686d17 · inbound
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions cites this paper.
A Survey on Large Language Models for Communication, Network, and Service Management: Application Insights, Challenges, and Future Directions Supervised Fine-tuning in turn Improves Visual Foundation Models
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:15:31.645240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27e4f9ef-9ed5-4a54-a994-7026b829a785 · inbound
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models cites this paper.
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models Supervised Fine-tuning in turn Improves Visual Foundation Models
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:19:43.389601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47a04bd0-2613-4254-ba46-3bbbe783cd04 · inbound
No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs cites this paper.
No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs Supervised Fine-tuning in turn Improves Visual Foundation Models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T10:25:41.401870Z
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.