Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.08954.
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 2026-08-07T13:14:04.561633Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:46:44.287362Z
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 9234d3cc-c4c1-4ce1-a65e-f6b575f6b90a · inbound
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models cites this paper.
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:14:04.561633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5708fa45-c1f2-4ee2-a19c-6869b0bc37bb · inbound
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning cites this paper.
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:46:44.331203Z
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.