Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.14322.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T11:24:30.658161Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T22:23:47.900644Z
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 2dfbea16-0d05-4d4e-8c08-23985a47b764 · inbound
Correlating Cross-Iteration Noise for DP-SGD using Model Curvature cites this paper.
Correlating Cross-Iteration Noise for DP-SGD using Model Curvature Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:24:30.658161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cfe7eb6-abd1-4a91-aa7e-c66fe285ce1c · inbound
Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.
Concordia: Self-Improving Synthetic Tables for Federated LLMs Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:16:27.678059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 46fd01ee-94fc-472d-bd26-7bfe67ac612b · inbound
Concordia: Self-Improving Synthetic Tables for Federated LLMs cites this paper.
Concordia: Self-Improving Synthetic Tables for Federated LLMs Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:23:47.904172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.