Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Analyzing the Behavior of Visual Question Answering Models
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1606.07356.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:54:49.876839Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:09:26.979985Z
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 f9bb137a-b401-494e-975d-314cf2ae4eb4 · inbound
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms cites this paper.
A Comprehensive Survey on Visual Question Answering Datasets and Algorithms Analyzing the Behavior of Visual Question Answering Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:54:49.876839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 528c1e69-91d8-4cd9-a493-0cc9f797097d · inbound
Probing Visual Language Priors in VLMs cites this paper.
Probing Visual Language Priors in VLMs Analyzing the Behavior of Visual Question Answering Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:55:53.819694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4415362-e217-45e9-9264-88ab97183df1 · inbound
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection cites this paper.
SemIRNet: A Semantic Irony Recognition Network for Multimodal Sarcasm Detection Analyzing the Behavior of Visual Question Answering Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:09:27.086911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.