Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Prompt Your Domain for Vision-Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.03103.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:36:48.888398Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T11:18:44.433241Z
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 5bf8675a-b974-47d3-9de3-4399f4e4940b · inbound
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion cites this paper.
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Learning to Prompt Your Domain for Vision-Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:48.888398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb1e025e-3d7c-4fd4-ba7c-f631d62229b9 · inbound
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning cites this paper.
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning Learning to Prompt Your Domain for Vision-Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:45:06.960861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1896b4b4-1ccc-4be7-8f27-784984667722 · inbound
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models cites this paper.
FedAPT: Federated Adversarial Prompt Tuning for Vision-Language Models Learning to Prompt Your Domain for Vision-Language Models
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T11:18:44.533863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.