Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.13138.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T15:15:22.755707Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T13:20:26.689575Z
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 c57ac0cd-f838-4904-b964-df1166874530 · inbound
Revisiting the Integration of Convolution and Attention for Vision Backbone cites this paper.
Revisiting the Integration of Convolution and Attention for Vision Backbone ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:15:22.755707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c015c538-e9b1-4155-b3d5-4ff0a84f0341 · inbound
MaMe & MaRe: Matrix-Based Token Merging and Restoration for Efficient Visual Perception and Synthesis cites this paper.
MaMe & MaRe: Matrix-Based Token Merging and Restoration for Efficient Visual Perception and Synthesis ClusTR: Exploring Efficient Self-attention via Clustering for Vision Transformers
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:20:26.691101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.