Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.10742.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:17.230770Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T14:26:17.425104Z
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 847a243a-9c9c-4f22-89d6-eae1454cc240 · inbound
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models cites this paper.
CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:26:17.428918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 36ab5eab-e8a1-4743-be8b-341464b3e9c5 · inbound
Development of Vision-Language Model-based GNSS Spoofing Detection for Autonomous Vehicle Navigation cites this paper.
Development of Vision-Language Model-based GNSS Spoofing Detection for Autonomous Vehicle Navigation Keyframe-oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-Form Video Processing
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:29:18.238729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.