Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Ditto: Fair and Robust Federated Learning Through Personalization
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2012.04221.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:35:27.353870Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T16:44:56.415290Z
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 264bbaf5-fea6-4e54-a442-b2f8df9e2c01 · inbound
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning cites this paper.
Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning Ditto: Fair and Robust Federated Learning Through Personalization
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:35:27.353870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dccb3b2-7941-41cc-a60f-caad5f710496 · inbound
Reliable Vertical Federated Learning in 5G Core Network Architecture cites this paper.
Reliable Vertical Federated Learning in 5G Core Network Architecture Ditto: Fair and Robust Federated Learning Through Personalization
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:24:54.856941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bd02adb-95db-4ee0-ba2b-c8adcda505e7 · inbound
Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization cites this paper.
Variational Gaussian Mixture Manifold Models for Client-Specific Federated Personalization Ditto: Fair and Robust Federated Learning Through Personalization
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T10:44:00.164098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bfb37b8-85e0-4f05-a49d-4f45fa6747e6 · inbound
OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization cites this paper.
OmniISR: A Unified Framework for Centralized and Federated Learning via Intermediate Supervision and Regularization Ditto: Fair and Robust Federated Learning Through Personalization
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T08:44:04.655591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 158c0295-d4cf-404c-8b9d-320f5afb7d9e · inbound
Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage cites this paper.
Tuning-Free Efficient Estimation for Multi-Source Data via Covariance-Aware Shrinkage Ditto: Fair and Robust Federated Learning Through Personalization
Reference 140
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T16:44:56.416639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.