Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.11227.
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, observed 2026-08-12T15:59:30.569246Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T00:30:51.395825Z
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 ebdb5ee5-697f-41a5-8a1b-5efecdcbda01 · inbound
Federated Continual Learning for Edge-AI: A Comprehensive Survey cites this paper.
Federated Continual Learning for Edge-AI: A Comprehensive Survey FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients
Reference 168
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:59:30.569246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2239a8da-c40a-42c8-9524-cfb79785125c · inbound
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning cites this paper.
PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:19:26.572242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15683122-30cc-4c58-8dfa-d4ea3ec83667 · inbound
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge cites this paper.
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:30:51.398343Z
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.