Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.04146.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:45.356563Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:07:09.151686Z
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 4ae8ccbb-6a94-4ce4-b5d3-59343755c549 · inbound
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments cites this paper.
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
Reference 4479
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:56:15.713427Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 399addf8-2fae-4913-83ac-fe951aa8d4c1 · inbound
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving cites this paper.
FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:51:45.356563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c36c265-b258-445a-b7f6-b42bd504d278 · inbound
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization cites this paper.
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:35.523520Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1edad89-0f14-4fa3-8c0c-14960465fa9b · inbound
Federated Foundation Models over Vehicular Networks cites this paper.
Federated Foundation Models over Vehicular Networks pFedLVM: A Large Vision Model (LVM)-Driven and Latent Feature-Based Personalized Federated Learning Framework in Autonomous Driving
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:07:09.153222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.