Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.06822.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:29:09.466670Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:19:30.146008Z
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 de1feda5-8f2b-49a6-a386-73eea0c00dae · inbound
HeteroTune: Efficient Federated Learning for Large Heterogeneous Models cites this paper.
HeteroTune: Efficient Federated Learning for Large Heterogeneous Models MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:29:09.466670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8619c319-15fd-468e-b822-3442a8d0a721 · inbound
FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning cites this paper.
FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:50:58.016241Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e58a991c-0b62-41c9-aea6-ca279bdd26b5 · inbound
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey cites this paper.
Prompt Mechanisms in Medical Imaging: A Comprehensive Survey MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Reference 212
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:02:25.735432Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a196f8f0-7234-4e94-8c05-77a1725c8fc3 · inbound
Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity cites this paper.
Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:58:03.479927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a3735650-7d48-476b-b281-5bb2e60f8fe5 · inbound
Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach cites this paper.
Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:19:30.147797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.