Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Attention Distillation: self-supervised vision transformer students need more guidance
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.00944.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:27:07.040929Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T14:46:39.821305Z
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 3b6c1bcc-8ae8-4585-b239-2db42b7a8eb9 · inbound
On the Surprising Effectiveness of Attention Transfer for Vision Transformers cites this paper.
On the Surprising Effectiveness of Attention Transfer for Vision Transformers Attention Distillation: self-supervised vision transformer students need more guidance
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:27:07.040929Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4f1f7af-1d87-4c72-acd9-458eb6132b34 · inbound
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance cites this paper.
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performance Attention Distillation: self-supervised vision transformer students need more guidance
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:13:36.639480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4719ef4e-edea-42c6-aa68-ebe7e77fe262 · inbound
On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.
On Accelerating Edge AI: Optimizing Resource-Constrained Environments Attention Distillation: self-supervised vision transformer students need more guidance
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T14:46:39.825681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.