Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.01428.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:22:21.543176Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:06:11.438258Z
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 824ac47e-8a54-4f0e-8bf1-bcdd23a661af · inbound
On the Reconstruction of Training Data from Group Invariant Networks cites this paper.
On the Reconstruction of Training Data from Group Invariant Networks Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:10:26.609158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3de1550d-8c72-482e-9522-ad5df8c4f99e · inbound
Querying Kernel Methods Suffices for Reconstructing their Training Data cites this paper.
Querying Kernel Methods Suffices for Reconstructing their Training Data Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:03.022864Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 892a0039-8b30-4186-b792-de790f370563 · inbound
On Reconstructing Training Data From Bayesian Posteriors and Trained Models cites this paper.
On Reconstructing Training Data From Bayesian Posteriors and Trained Models Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:22:21.543176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75806e5d-bf43-4b85-a74a-6ba6432ea779 · inbound
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention cites this paper.
LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Reference 275
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:06:07.131592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a7348633-f604-4c81-9c4c-0d68d34c1e33 · inbound
Efficient Techniques for Data Reconstruction, with Finite-Width Recovery Guarantees cites this paper.
Efficient Techniques for Data Reconstruction, with Finite-Width Recovery Guarantees Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:06:11.452349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.