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Paper Citation Record · LEDGER

Understanding and Improving Visual Prompting: A Label-Mapping Perspective

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.11635.

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

pith.paper-citation-record.v1
2211.11635 v5

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:55:55.979446Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T19:56:11.299130Z

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 ae5c3327-dfa0-45bf-9ea6-74fcf3596313 · inbound

Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA cites this paper.

Parameter-Efficient Adaptation of mPLUG-Owl2 via Pixel-Level Visual Prompts for NR-IQA Understanding and Improving Visual Prompting: A Label-Mapping Perspective

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T10:55:55.979446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:55:55.979446Z digest=sha256:fc13eee74cbaec6c9304923c707416fa39c5b754de75274b4a77ae5f5cf47a53

Observation 4a291c9f-821d-4d7d-bb0f-f1555d5dce49 · inbound

BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning cites this paper.

BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning Understanding and Improving Visual Prompting: A Label-Mapping Perspective

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:56:11.300803Z

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=2026-06-28T21:52:23.150188Z digest=sha256:1ae463407d59c7b23e349b5da75f3dafa00ac7f486081f235937535668eba06b