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Paper Citation Record · LEDGER

Knowledge Distillation in Vision Transformers: A Critical Review

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.02108.

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

pith.paper-citation-record.v1
2302.02108 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:41:18.131569Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:31:25.789214Z

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 694ab0d1-00c9-402f-9885-c830683d4129 · inbound

Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT cites this paper.

Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT Knowledge Distillation in Vision Transformers: A Critical Review

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T11:41:18.131569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:41:18.131569Z digest=sha256:8533d064b30a6de489e7e51084c42e4f8897a6018c81bce212aced3d933e285f

Observation 662e8702-89fd-43c8-b470-af7fa7a165fa · inbound

Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT cites this paper.

Distilling 3D Spatial Reasoning into a Lightweight Vision-Language Model with CoT Knowledge Distillation in Vision Transformers: A Critical Review

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:25.793868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T02:42:09.922300Z digest=sha256:3d14ae2f581b27023ab96bab36795300a67da7644f12630e9a475cd2a4b46b07

Observation 62c211f0-cc4f-4f24-9d9e-9c8b836ec5eb · inbound

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers cites this paper.

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers Knowledge Distillation in Vision Transformers: A Critical Review

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T02:57:27.424270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:57:27.424270Z digest=sha256:964656c34d852a52701f7f38110963a3c3ae43e5041fbf2803bf9fa52e6337de