Paper Citation Record · LEDGER

Visual Prompt Tuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2203.12119.

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

pith.paper-citation-record.v1
2203.12119 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:01:26.916669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 bbf15973-a76c-4ba2-acc2-9f8a241577bf · inbound

Robust Adaptation of Foundation Models with Black-Box Visual Prompting cites this paper.

Robust Adaptation of Foundation Models with Black-Box Visual Prompting Visual Prompt Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:23:36.425243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 815f9ce0-8cdd-4806-a4f9-961be6afd4e3 · inbound

LLaVA-Video: Video Instruction Tuning With Synthetic Data cites this paper.

LLaVA-Video: Video Instruction Tuning With Synthetic Data Visual Prompt Tuning

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:20:33.113505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f277603a-08d6-4f2d-ba92-97280a869c35 · 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 Visual Prompt Tuning

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T21:01:26.916669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d853c3fb-ceff-4395-b62f-23c0f3d353c9 · inbound

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement cites this paper.

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement Visual Prompt Tuning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T13:37:15.139491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 006b9702-685d-476a-b01b-745bdbf167fe · inbound

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

Visual prompting reimagined: The power of the Activation Prompts Visual Prompt Tuning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:54.085728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cd7c0947-48fe-49cb-91c3-6a692a3913cb · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Visual Prompt Tuning

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-09T19:05:10.416398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 454b539d-24bb-452d-bc78-fa5ecfcf08a5 · inbound

Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training cites this paper.

Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training Visual Prompt Tuning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:48.158655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.