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Paper Citation Record · LEDGER

Interpretability-Aware Vision Transformer

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.08035.

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

pith.paper-citation-record.v1
2309.08035 v2

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 2026-08-03T06:30:56.289259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T05:18:49.394115Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:19:45.935872Z

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 2cf4805c-9232-47fa-aa07-fe283527d3ac · inbound

Improving Sparse Autoencoder with Dynamic Attention cites this paper.

Improving Sparse Autoencoder with Dynamic Attention Interpretability-Aware Vision Transformer

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:10:09.026274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T11:07:24.389139Z digest=sha256:544972de61f5b4f177457ca20666d7d07a52a53fdc86ba2d04c3d699024f2a14

Observation 65d8ce69-5309-4145-97f2-7e922eb1c719 · inbound

Are Candidate Models Really Needed for Active Learning? cites this paper.

Are Candidate Models Really Needed for Active Learning? Interpretability-Aware Vision Transformer

Reference 150

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:45.939282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-15T05:18:49.394115Z digest=sha256:18a101a315226cd53da1b6035c597aeca709e194516dc6e49e3d55531519e06f