Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.08868.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T20:27:30.288886Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 4fb08601-4b78-4133-877a-888af16210ea · inbound
Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing cites this paper.
Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T20:27:30.288886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1ffbd3fa-1378-4ae1-bfae-930961b449bb · inbound
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy cites this paper.
How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
Reference 164
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:53:01.239229Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3633bc1c-0497-44a7-aac6-a8ac3e16bbf6 · inbound
Edit-Neighboring Data Streams and Privacy under Continual Observation cites this paper.
Edit-Neighboring Data Streams and Privacy under Continual Observation A Hassle-free Algorithm for Private Learning in Practice: Don't Use Tree Aggregation, Use BLTs
Reference 130
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-01T09:43:27.995182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.