Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.09105.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:24:53.867176Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T07:14:42.853373Z
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 646c4465-2b89-473c-baf8-2a16e1d685de · inbound
VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning cites this paper.
VideoThinker: Building Agentic VideoLLMs with LLM-Guided Tool Reasoning VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:17:51.910722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 51bd2479-57cc-4e29-b0a8-764a3edb7cef · inbound
Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrieval cites this paper.
Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrieval VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:16:04.498239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 551c5ae9-8135-43df-bba8-853d44d382ba · inbound
ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval cites this paper.
ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:49:48.499885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d54fa693-f376-44c6-b6de-0231f38a8dac · inbound
VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis cites this paper.
VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T07:14:42.855986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 81537453-421d-4dd5-add1-b1ca663a9126 · inbound
The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping cites this paper.
The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:24:53.867176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.