Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.15047.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:56:37.569807Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T10:48:12.855049Z
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 11511695-2036-4371-bb90-7c06e4173f08 · inbound
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process cites this paper.
ReasVQA: Advancing VideoQA with Imperfect Reasoning Process End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:56:37.569807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5b6ce89-4f84-4b2b-bdbd-d2ca24eee092 · inbound
Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval cites this paper.
Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
Reference 23
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T00:11:23.171904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation ec4b263b-f997-4731-b04d-6a7916ed4723 · inbound
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling cites this paper.
ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T00:58:25.539956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 005c2245-a687-447f-985f-a480817be04c · inbound
Scaling Video Understanding via Compact Latent Multi-Agent Collaboration cites this paper.
Scaling Video Understanding via Compact Latent Multi-Agent Collaboration End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:21:09.542544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation b08716df-c478-4c33-97e5-9bd74edc60af · inbound
CRAFT: Critic-Refined Adaptive Key-Frame Targeting for Multimodal Video Question Answering cites this paper.
CRAFT: Critic-Refined Adaptive Key-Frame Targeting for Multimodal Video Question Answering End-to-End Video Question Answering with Frame Scoring Mechanisms and Adaptive Sampling
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T10:48:12.856768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.