Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SLURP: Side Learning Uncertainty for Regression Problems
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.11182.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:17:19.491137Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:33:04.567069Z
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 86db8d39-adf5-4b34-b88e-635dc5baaeab · inbound
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation cites this paper.
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation SLURP: Side Learning Uncertainty for Regression Problems
Reference 103
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:33:04.572884Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ba986d03-09e1-49e1-8c7e-0ad487a75524 · inbound
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models cites this paper.
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models SLURP: Side Learning Uncertainty for Regression Problems
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:17:19.491137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.