Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FedHQ: Hybrid Runtime Quantization for Federated Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.11982.
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 2026-05-20T14:11:53.371521Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T14:13:21.240043Z
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 6166a7d4-5b10-44e8-a5cb-e3b46fc3b2c5 · inbound
Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance cites this paper.
Quantization Impact on the Accuracy and Communication Efficiency Trade-off in Federated Learning for Aerospace Predictive Maintenance FedHQ: Hybrid Runtime Quantization for Federated Learning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:26:02.225987Z
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 c550fd70-0fd7-4a61-9d25-d7a0bca97463 · inbound
Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning cites this paper.
Q-LocalAdam: Memory-Efficient Client-Side Adaptive Optimization for Edge Federated Learning FedHQ: Hybrid Runtime Quantization for Federated Learning
Reference 36
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-20T14:13:21.241653Z
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.