Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.15610.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T08:53:18.268970Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T08:55:19.399250Z
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 effff265-5e0f-4830-bbce-cf7ebd58e00f · inbound
From Plausibility to Verifiability: Risk-Controlled Generative OCR with Vision-Language Models cites this paper.
From Plausibility to Verifiability: Risk-Controlled Generative OCR with Vision-Language Models Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T08:55:19.401135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 433c8730-8305-472b-b2ea-479dab038a96 · inbound
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication cites this paper.
Learning When Not to Decide: A Framework for Overcoming Factual Presumptuousness in AI Adjudication Selective "Selective Prediction": Reducing Unnecessary Abstention in Vision-Language Reasoning
Reference 33
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T13:16:05.105086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.