Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.10514.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:47:41.077522Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T20:32:56.623433Z
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 94ce05a5-546d-4a31-9ddf-932b1b7b5d9c · inbound
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation cites this paper.
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
Reference 104
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:47:41.077522Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbfd1520-ab32-44b6-a443-fc5d8b352252 · inbound
InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.
InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:44:28.078935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4e12adb-00d2-4bf8-ada0-739fd2645c35 · inbound
SMA: Submodular Modality Aligner For Data Efficient Multimodal Learning cites this paper.
SMA: Submodular Modality Aligner For Data Efficient Multimodal Learning How Good is a Video Summary? A New Benchmarking Dataset and Evaluation Framework Towards Realistic Video Summarization
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:32:56.627635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.