Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:09:22.276851Z
Paper Citation Record · LEDGER
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications
As of 13 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2506.09090.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
9 of 9 outbound references displayed
- verified exact0
- verified fuzzy6
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d0e80e4d-4181-4495-a264-619e3a3c7358 · outbound
This paper cites Communication - Efficient Learning of Deep Networks from Decentralized Data,.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications Communication - Efficient Learning of Deep Networks from Decentralized Data,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:09:23.661071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 79c87124-c66a-45e8-921a-852837ff9700 · outbound
This paper cites A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting,.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:09:23.479645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 52dc1f47-a3cd-42f0-b341-ef26fc164785 · outbound
This paper cites Asynchronous Federated Optimization.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications Asynchronous Federated Optimization
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:09:21.380178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c2b76dc-0bba-47b7-a397-74438116a82e · outbound
This paper cites Adaptive Communication for Scalable Distributed AdaBoost,.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications Adaptive Communication for Scalable Distributed AdaBoost,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:09:23.309129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cdbbd396-b03d-458a-a761-7eb34dacb10f · outbound
This paper cites Federated Learning for Mobile Keyboard Prediction.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications Federated Learning for Mobile Keyboard Prediction
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:09:21.648447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac07a6cf-a8bf-4075-8108-f953e8412c86 · outbound
This paper cites Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning,.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:09:23.083392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 41f625db-9629-4ff1-978d-46f2521bd1c7 · outbound
This paper cites Multi -Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation,.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications Multi -Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:09:22.922188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5bcb93b9-ee52-41d8-b27e-f7f15b2f80f9 · outbound
This paper cites DÏoT: A Federated Self -learning Anomaly Detection Sy stem for IoT,.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications DÏoT: A Federated Self -learning Anomaly Detection Sy stem for IoT,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:09:22.695097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bb4952e9-fe83-4f5a-b7a4-0549adf78fa6 · outbound
This paper cites Advances and Open Problems in Federated Learning.
Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications Advances and Open Problems in Federated Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:09:22.276851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.