Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tree of Attributes Prompt Learning for Vision-Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.11201.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:28:21.224757Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T05:19:04.939803Z
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 3fae005a-23bf-4194-a297-011c52c50c1c · inbound
Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs cites this paper.
Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMs Tree of Attributes Prompt Learning for Vision-Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:28:21.224757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9e97375-dd25-4cdc-a47f-5d62795fa011 · 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 Tree of Attributes Prompt Learning for Vision-Language Models
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T05:19:04.941909Z
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 da880ad2-79a9-44a6-9968-241ad6f657ef · inbound
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning cites this paper.
Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning Tree of Attributes Prompt Learning for Vision-Language Models
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:21:08.394548Z
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.