Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1906.02467.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:28:39.576086Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T22:57:25.556016Z
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 a3027e8c-3a80-472a-b127-8930eea1a688 · inbound
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events cites this paper.
Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:28:39.576086Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f910687-a0df-43de-a1f3-02378c2032ba · 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 ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:08.586217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8fc14fe-d142-47cc-a5c1-094628cdc9ec · inbound
CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models cites this paper.
CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:45:03.277823Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a665a11-5416-4657-9207-cc3c57325f73 · inbound
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring cites this paper.
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:49:11.492167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ca805f-407b-4275-a2d2-9b61710f6dff · inbound
AVATAAR: Agentic Video Answering via Temporal Adaptive Alignment and Reasoning cites this paper.
AVATAAR: Agentic Video Answering via Temporal Adaptive Alignment and Reasoning ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:20:11.785472Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6f72d124-ebe3-451f-82ea-8285a12d8b91 · inbound
IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling cites this paper.
IoT-Brain: Grounding LLMs for Semantic-Spatial Sensor Scheduling ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 87
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T06:05:56.737749Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4aaf2ae7-4043-4fcf-b1b1-4bb81cdcfa6d · inbound
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 90
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:02:46.761272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e808f194-783a-4a4b-8e16-f28eb616e315 · inbound
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence cites this paper.
SVI-Bench: A Dynamic Microworld for Strategic Video Intelligence ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 90
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T22:57:25.557881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 19360593-d7c1-40aa-894a-4799b2a49859 · inbound
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs cites this paper.
MuseBench: Benchmarking Intent-Level Audiovisual Arts Understanding in MLLMs ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T06:34:19.474308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.