Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.05163.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T16:10:09.092184Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-09T22:46:35.968142Z
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 dec8983c-6a67-4c2f-a8b0-3749a9aec775 · inbound
Distance-informed Neural Processes cites this paper.
Distance-informed Neural Processes Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:10:09.092184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b4244f0-e312-488e-9839-72211bfd3173 · inbound
Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees cites this paper.
Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:17:24.661700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation e80c48f1-0dbd-488b-ba08-b909a5e77601 · inbound
General Incomplete Multimodal Learning via Dynamic Quality Perception cites this paper.
General Incomplete Multimodal Learning via Dynamic Quality Perception Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T22:46:35.969699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.