Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.02068.
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 2026-08-10T14:46:38.245641Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T07:40:43.939320Z
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 c0f32fd0-4f4a-40ab-b7bb-cdce41df1f39 · inbound
On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.
On Accelerating Edge AI: Optimizing Resource-Constrained Environments LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:46:38.245641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e63ac3ac-d32b-4e3f-adbe-a5ed41754ca7 · inbound
CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers cites this paper.
CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:40:43.941052Z
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 13c9a042-2ecf-44db-baa1-44ba71f226c9 · inbound
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective cites this paper.
Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective LPViT: Low-Power Semi-structured Pruning for Vision Transformers
Reference 84
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T23:58:47.097757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.