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Paper Citation Record · LEDGER

AdaViT: Adaptive Tokens for Efficient Vision Transformer

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2112.07658.

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

pith.paper-citation-record.v1
2112.07658 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:59:32.445461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:02.329284Z

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 ab366496-5db8-4675-bec0-fd9bfd0b685b · inbound

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models cites this paper.

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models AdaViT: Adaptive Tokens for Efficient Vision Transformer

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T17:59:32.445461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:59:32.445461Z digest=sha256:a8c98ba884a8840735be16312cb760682a6f8950d53af51600f6e70d19e0c76a

Observation 5d8eb11c-257b-4123-a035-63cc01c86016 · inbound

AFFMAE: Scalable Vision Pre-Training for High-Resolution Microscopy Segmentation on Desktop Hardware cites this paper.

AFFMAE: Scalable Vision Pre-Training for High-Resolution Microscopy Segmentation on Desktop Hardware AdaViT: Adaptive Tokens for Efficient Vision Transformer

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-02T22:39:48.410981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:39:48.410981Z digest=sha256:c3b95bd82c226292ad0d92666fce713ba2c5a1886891dd0a49102dec2a72a430

Observation 4d3c590f-d487-4a3f-b9f0-9fad6d5dd382 · inbound

When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics cites this paper.

When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics AdaViT: Adaptive Tokens for Efficient Vision Transformer

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:36:26.541571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T10:51:38.455604Z digest=sha256:1b4883e323668a6565b6f901783555a4717194215b18ece17b86aa25186fa02b

Observation e6e1af1c-7670-4f79-b6b8-d48cb4d9f424 · inbound

ViT-FREE: Efficient Face Recognition via Early Exiting and Synthetic Adaptation cites this paper.

ViT-FREE: Efficient Face Recognition via Early Exiting and Synthetic Adaptation AdaViT: Adaptive Tokens for Efficient Vision Transformer

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:48:02.330609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T09:51:12.925516Z digest=sha256:b025425422f7d3238551629542b3dc2695c9e99e5aeebb6dca49f10d87b148fe

Observation 0e444629-2b11-4e7c-891d-aa9be677a015 · inbound

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning cites this paper.

Token-Sparse Medical Multimodal Reasoning via Dual-Stream Reinforcement Learning AdaViT: Adaptive Tokens for Efficient Vision Transformer

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:15:45.216372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-01T05:36:43.609602Z digest=sha256:85566442e493afd0e4a5f4d24c52f12767b8d320baa8ee631c511018242023ed