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Paper Citation Record · LEDGER

ViTKD: Practical Guidelines for ViT feature knowledge distillation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.02432.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2209.02432 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:50:14.749967Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T19:32:35.197412Z

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 ad6542bb-8d4f-49ac-9436-755170fbc72c · inbound

Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers cites this paper.

Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers ViTKD: Practical Guidelines for ViT feature knowledge distillation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T12:50:14.749967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:50:14.749967Z digest=sha256:ab1cda103a27c74ac3e929d8a9e5c98c3208c2faa4622a199fc571551a95f502

Observation 5197d070-a026-4bde-a4b3-fa0ca1c421f9 · inbound

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders ViTKD: Practical Guidelines for ViT feature knowledge distillation

Reference 159

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:32:35.199407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T19:23:08.100056Z digest=sha256:8dbf8fbb718d76df806fcb3dc42b17bc4a9d8480d152d5b2d3b5461e938183f6