Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Vision Transformer Pruning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.08500.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T06:16:09.070414Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T13:53:29.141745Z
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 39db5131-0801-45bb-afd0-e4d348280e21 · inbound
Recursive Vision Transformer with Dynamic Depth and Width Adjustment for Resource-Efficient Image Semantic Communication cites this paper.
Recursive Vision Transformer with Dynamic Depth and Width Adjustment for Resource-Efficient Image Semantic Communication Vision Transformer Pruning
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T13:53:29.142934Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 40d320c8-9551-4519-82da-f040833a76f2 · inbound
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective cites this paper.
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective Vision Transformer Pruning
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:58:47.097757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dd21f40-da1e-4c3f-ae01-b9e296abdf6a · inbound
FastTPS: An Optimized Method for LLM Token Phase for AI accelerators cites this paper.
FastTPS: An Optimized Method for LLM Token Phase for AI accelerators Vision Transformer Pruning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T06:16:09.070414Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.