Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2101.02281.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T01:42:09.563840Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T19:58:58.944891Z
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 ba7337ef-eafd-4098-a4f8-e4410e5a929a · inbound
Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers cites this paper.
Byzantine-Resilient Federated Learning via QUBO-Based Client Selection on Quantum Annealers FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:58:58.948791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f84347bd-5cb6-4cac-8561-159bf09b6588 · inbound
TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement cites this paper.
TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T22:47:13.165566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 757006df-7b87-49cd-af6f-4bdaa5640651 · inbound
TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement cites this paper.
TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:42:09.563840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.