Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards General Deep Leakage in Federated Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2110.09074.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:41:10.341066Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:28:59.430411Z
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 f0fda67f-b816-4d99-9015-1a251aea6bbb · inbound
DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems cites this paper.
DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems Towards General Deep Leakage in Federated Learning
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:41:10.341066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9a7a396-7340-4430-9ff9-5a3fdb983690 · inbound
AdaDPIGU: Differentially Private SGD with Adaptive Clipping and Importance-Based Gradient Updates for Deep Neural Networks cites this paper.
AdaDPIGU: Differentially Private SGD with Adaptive Clipping and Importance-Based Gradient Updates for Deep Neural Networks Towards General Deep Leakage in Federated Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:06:25.717574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e46c7793-2107-4f9c-bf8a-068b82df4c8d · inbound
TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization cites this paper.
TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization Towards General Deep Leakage in Federated Learning
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:28:59.432001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.