Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.07367.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:48.414931Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T07:18:06.942163Z
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 53094daa-6049-4818-8671-f3dfa76b754c · inbound
Differentially Private Sparse Linear Regression with Heavy-tailed Responses cites this paper.
Differentially Private Sparse Linear Regression with Heavy-tailed Responses Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:57:48.414931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f84cd2e6-36dc-40d0-b11b-2001c8b39e8d · inbound
A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning cites this paper.
A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T07:18:06.943848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dbb2f341-ef90-4fe4-a920-4dd9951cbbb3 · inbound
A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning cites this paper.
A Van Trees Lower Bound for Fully Interactive Differentially Private Federated Learning Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T16:29:28.243675Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.