Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Differential Privacy Mechanisms in Neural Tangent Kernel Regression
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.13621.
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 2026-08-08T16:39:14.238952Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:11:03.876031Z
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 0591ad0e-f80d-4344-9bee-c587e94d0325 · inbound
Universal Approximation of Visual Autoregressive Transformers cites this paper.
Universal Approximation of Visual Autoregressive Transformers Differential Privacy Mechanisms in Neural Tangent Kernel Regression
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:39:14.238952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b44ae3c7-c12a-4b97-bc0c-416400ba44af · inbound
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling Differential Privacy Mechanisms in Neural Tangent Kernel Regression
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:20:15.418795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30edbdec-b0be-4440-a910-3012d405961f · inbound
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse cites this paper.
Only Large Weights (And Not Skip Connections) Can Prevent the Perils of Rank Collapse Differential Privacy Mechanisms in Neural Tangent Kernel Regression
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:11:04.047829Z
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.