Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Advancing Textual Prompt Learning with Anchored Attributes
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.09442.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:56:07.995692Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T12:43:25.947756Z
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 a3889016-4d71-4478-ae47-a3540404afab · inbound
NEARL: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding cites this paper.
NEARL: Interacted Query Adaptation with Orthogonal Regularization for Medical Vision-Language Understanding Advancing Textual Prompt Learning with Anchored Attributes
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:56:07.995692Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0ea837c-cc2d-4a59-885a-f3a8b5b1d6ed · inbound
GA2-CLIP: Generic Attribute Anchor for Efficient Prompt Tuningin Video-Language Models cites this paper.
GA2-CLIP: Generic Attribute Anchor for Efficient Prompt Tuningin Video-Language Models Advancing Textual Prompt Learning with Anchored Attributes
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T05:19:04.946118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 34c30088-3a3b-45a8-aca8-108d02e95324 · inbound
FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models cites this paper.
FedMPT: Federated Multi-label Prompt Tuning of Vision-Language Models Advancing Textual Prompt Learning with Anchored Attributes
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:43:25.949271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.