Pith. sign in

Paper Citation Record · LEDGER

Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.08670.

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

pith.paper-citation-record.v1
2408.08670 v1

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:51:09.791522Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T22:15:50.846930Z

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 c8e03b45-41cb-4652-89ed-8dbe16759bbd · inbound

Machine learning of microstructure--property relationships in materials leveraging microstructure representation from foundational vision transformers cites this paper.

Machine learning of microstructure--property relationships in materials leveraging microstructure representation from foundational vision transformers Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T04:51:09.791522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:51:09.791522Z digest=sha256:9fc0ad443c8b9eab477f1c603968cdc0e08da7b22e75543a80aae2afc7d3c201

Observation 57901069-4d84-419e-a8cd-fbe9dc188c42 · inbound

Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and Responses in Visual Document Understanding cites this paper.

Responses Fall Short of Understanding: Revealing the Gap between Internal Representations and Responses in Visual Document Understanding Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:50.853703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T20:02:39.796357Z digest=sha256:ae010d5bdd877ab8e804f673b002a7a5e2d50bd1761ee0d9b50029503eb565b6

Observation 95b858dd-d5c8-4b49-a7ac-78974b283145 · inbound

Open-Vocabulary Gaze Object Prediction: Benchmark and Method cites this paper.

Open-Vocabulary Gaze Object Prediction: Benchmark and Method Adaptive Layer Selection for Efficient Vision Transformer Fine-Tuning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T14:18:31.647729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:18:31.647729Z digest=sha256:11e071ae46382469d62ae56f5700f7916385c82b0ed21c5cde90e3a3927d3476