Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Text-driven Prompt Generation for Vision-Language Models in Federated Learning
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.06123.
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 2026-08-07T05:42:38.728689Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T20:10:18.187697Z
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 06b32a4c-4437-438a-9a54-db84f8052717 · inbound
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:42:38.728689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44644214-b36d-4f22-ab3d-039fb54fce92 · inbound
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion cites this paper.
Personalized Federated Learning via Dual-Prompt Optimization and Cross Fusion Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:36:49.837635Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3732f31-b9cf-4a04-8f8a-2ff93529236e · inbound
Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models cites this paper.
Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:10:18.191173Z
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.