Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.17381.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:19.864924Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T09:36:26.283482Z
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 f2fade37-6539-4816-987c-4b93406357b7 · inbound
FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix cites this paper.
FedGraM: Defending Against Untargeted Attacks in Federated Learning via Embedding Gram Matrix Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:19.864924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afa2a573-87d2-4084-8de3-7693c9730673 · inbound
A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity cites this paper.
A Weighted Loss Approach to Robust Federated Learning under Data Heterogeneity Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:48:54.371332Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25843397-0274-4e7b-82b1-21b82243328c · inbound
AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning cites this paper.
AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:36:26.285037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.