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Paper Citation Record · LEDGER

On User-Level Private Convex Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.04912.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2305.04912 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:32:14.063997Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T22:06:15.760131Z

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 be60ecd6-a37c-44c0-bde0-a581ccbda534 · inbound

Linear-Time User-Level DP-SCO via Robust Statistics cites this paper.

Linear-Time User-Level DP-SCO via Robust Statistics On User-Level Private Convex Optimization

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T23:32:14.063997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:32:14.063997Z digest=sha256:2b950cb5c7f8f0702ddb10301575d6e7cfa453bd0dc38964ebcd21355c1ebc60

Observation 32b046a4-a4ed-4627-9f4d-4f6abf1d5cc9 · inbound

Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses cites this paper.

Near-Optimal Pure Machine Unlearning for Smooth Strongly Convex Losses On User-Level Private Convex Optimization

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:06:15.761761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T15:51:13.831817Z digest=sha256:e9e7aabe764af0781da14750aa29d04fb39252d3b950bfc1db2c9832853f8a54