Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2208.08340.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:41:21.239347Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T19:56:11.258248Z
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 c336be10-bacc-45f5-bf38-a7c2f5026901 · inbound
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation cites this paper.
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:41:21.239347Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdca2cc4-7826-4ef8-bc17-84f86d4e290f · inbound
Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model cites this paper.
Attn-Adapter: Attention Is All You Need for Online Few-shot Learner of Vision-Language Model Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:38:34.556038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08fbf790-958c-4457-8c42-29b57bcf298c · inbound
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning cites this paper.
BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T19:56:11.259948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.