Pith. sign in

Paper Citation Record · LEDGER

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.15349.

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

pith.paper-citation-record.v1
2506.15349 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:48:10.362600Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:57.319808Z

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 65ad8d2c-8159-42a9-a324-3cce73f51d75 · inbound

Let's Ask Gauss: Improved One-Run Privacy Auditing cites this paper.

Let's Ask Gauss: Improved One-Run Privacy Auditing Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:48:03.229553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T09:48:10.362600Z digest=sha256:72d4a88d3178fbef2a749046c3db6120f0d67bc764787b368cd954c65a2341c4

Observation 972fb022-ccad-4d17-bbb4-96adf20029ce · inbound

Natural Identifiers for Privacy and Data Audits in Large Language Models cites this paper.

Natural Identifiers for Privacy and Data Audits in Large Language Models Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:49:57.321424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T00:16:34.961376Z digest=sha256:af90f76f54f74fc582de0271731cd855e75e1c7d2d1699eb70976cf9bc4e5881