Paper Citation Record · LEDGER

Text-driven Prompt Generation for Vision-Language Models in Federated Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.06123.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2310.06123 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:03:19.163213Z

measured 0 of 1 external citation measurements

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 b70c6e74-3783-43e4-9e16-1bc198d19a2b · inbound

Federated Large Language Models: Feasibility, Robustness, Security and Future Directions cites this paper.

Federated Large Language Models: Feasibility, Robustness, Security and Future Directions Text-driven Prompt Generation for Vision-Language Models in Federated Learning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T22:03:19.163213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-22T06:32:14.747728+00:00.

Observation d7d04d5d-2318-4903-87ba-54677332640e · inbound

SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks cites this paper.

SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks Text-driven Prompt Generation for Vision-Language Models in Federated Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T04:16:48.816374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.