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Paper Citation Record · LEDGER

Convolutional Visual Prompt for Robust Visual Perception

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.00198.

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

pith.paper-citation-record.v1
2303.00198 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:01:26.970307Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T23:45:53.823342Z

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 30a8bc7c-4676-4282-a7b0-d3948a9d2535 · inbound

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design cites this paper.

Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design Convolutional Visual Prompt for Robust Visual Perception

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-05T21:01:26.970307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:01:26.970307Z digest=sha256:7fab364e95331bb903a121f050fb7dfd76fcf72133b9affe5259c62f14986735

Observation bd0367d7-cdb1-4178-b5ad-b863fa04beda · inbound

Visual prompting reimagined: The power of the Activation Prompts cites this paper.

Visual prompting reimagined: The power of the Activation Prompts Convolutional Visual Prompt for Robust Visual Perception

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:53.826748Z

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=arxiv_source observed=2026-05-10T18:52:10.770345Z digest=sha256:7adbf8f1416960e22cdbec6392637bcece2fcced5d19f59008c22b9dd8225f5e