Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training-Free Unsupervised Prompt for Vision-Language Models
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.16339.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:30.376355Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T00:34:47.773608Z
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 9a8127c4-ee11-4bb7-8f8a-356c023196a3 · inbound
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey cites this paper.
CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey Training-Free Unsupervised Prompt for Vision-Language Models
Reference 101
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:54:30.376355Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca6f95e1-3a0a-4dc3-b388-47708da68dee · inbound
Adapting Vision-Language Models Without Labels: A Comprehensive Survey cites this paper.
Adapting Vision-Language Models Without Labels: A Comprehensive Survey Training-Free Unsupervised Prompt for Vision-Language Models
Reference 121
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:17:06.816989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c79fe99d-90f4-42a4-ae33-fe88f761bf61 · inbound
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation cites this paper.
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation Training-Free Unsupervised Prompt for Vision-Language Models
Reference 121
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:34:47.775031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.