Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14248.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:08.355931Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T06:00:57.238555Z
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 57753b8c-62ef-4678-b831-78e636faa163 · inbound
Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times cites this paper.
Deep Temporal Reasoning in Video Language Models: A Cross-Linguistic Evaluation of Action Duration and Completion through Perfect Times Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:08.355931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd4ac394-dfec-4cd4-8db4-7047bd0bcaf3 · inbound
Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding cites this paper.
Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T06:00:57.241715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.