Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 24 of 24 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 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:41:25.605048Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

24 of 24 outbound references displayed

verified exact1
verified fuzzy9
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfd2d806-0de5-4f20-b4cf-cc6994a806a1 · outbound

This paper cites Deep learning with differential privacy.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Deep learning with differential privacy

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.494038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d41f946-931e-4baa-abdf-810b44985ed3 · outbound

This paper cites JAX - P rivacy: Algorithms for privacy-preserving machine learning in jax, 2022.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference JAX - P rivacy: Algorithms for privacy-preserving machine learning in jax, 2022

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.955652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e60442d-a394-49a2-a54a-9d322366fc5e · outbound

This paper cites Scalable membership inference attacks via quantile regression.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Scalable membership inference attacks via quantile regression

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.939729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89940770-ea3f-41c5-aa29-8d111db06531 · outbound

This paper cites Membership inference attacks from first principles.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Membership inference attacks from first principles

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.923814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9d00a44a-cfb4-402c-91df-4b7102290c8b · outbound

This paper cites Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.514103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6a7bf3-eeff-4539-8f8c-c35a35e95644 · outbound

This paper cites Auditing Private Prediction.

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

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:41:25.732351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e2924ae4-9842-46ff-8954-7dc7cf35f921 · outbound

This paper cites Differentially private empirical risk minimization.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Differentially private empirical risk minimization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.524425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490833ed-8ca5-4ce6-931e-a10d8cda1883 · outbound

This paper cites Unlocking High-Accuracy Differentially Private Image Classification through Scale.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.529092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a8f3cf7-9778-44cf-a815-c404424c7350 · outbound

This paper cites Detecting violations of differential privacy.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Detecting violations of differential privacy

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.899435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 41a63bdc-9f42-4687-9804-d9bfd41b58d4 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Calibrating noise to sensitivity in private data analysis

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.539130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79401864-d508-4570-a0c9-2e1a4f2a4d41 · outbound

This paper cites Auditing differentially private machine learning: How private is private sgd? Advances in Neural Information Processing Systems, 33: 0 22205--22216, 2020.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Auditing differentially private machine learning: How private is private sgd? Advances in Neural Information Processing Systems, 33: 0 22205--22216, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.543782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7e147ca-ebe1-4dc6-9431-ba44f8077ab2 · outbound

This paper cites Learning multiple layers of features from tiny images, 2009.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Learning multiple layers of features from tiny images, 2009

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.548466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac1ae505-9005-4226-a997-efc66507d125 · outbound

This paper cites A convnet for the 2020s.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference A convnet for the 2020s

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.553236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e07160-97cc-48fe-8f9f-5fd85015dbe9 · outbound

This paper cites Auditing $f$-Differential Privacy in One Run.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Auditing $f$-Differential Privacy in One Run

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.557598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86463baa-5337-4141-a01c-a58aea6ed012 · outbound

This paper cites Nearly tight black-box auditing of differentially private machine learning.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Nearly tight black-box auditing of differentially private machine learning

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.847135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation beac4f04-58e4-497f-9467-2cda0c9d4585 · outbound

This paper cites Tight auditing of differentially private machine learning.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Tight auditing of differentially private machine learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.830806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3b23ef2e-fdef-4e58-b188-dd0fdf520469 · outbound

This paper cites Unleashing the power of randomization in auditing differentially private ml.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Unleashing the power of randomization in auditing differentially private ml

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.815644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dfca7ab5-2f89-4b3d-93ec-43ad2940b62b · outbound

This paper cites Membership inference attacks against machine learning models.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Membership inference attacks against machine learning models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.575880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b85dfd05-81ea-4dec-96e0-8f2476e4ff88 · outbound

This paper cites Privacy auditing with one (1) training run.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Privacy auditing with one (1) training run

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.790747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f55ea4fa-5364-4262-ad2f-3f7f36912e7e · outbound

This paper cites The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.584837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4c79a8d-0936-472c-a2bb-4abafce3ad24 · outbound

This paper cites Membership inference attacks on diffusion models via quantile regression.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Membership inference attacks on diffusion models via quantile regression

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:41:25.775410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 72b45390-86ab-4d11-895e-0b8ad2277c8e · outbound

This paper cites Debugging Differential Privacy: A Case Study for Privacy Auditing.

Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference Debugging Differential Privacy: A Case Study for Privacy Auditing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.594782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46430c86-3d3a-49a1-99bd-1618f7e3d658 · outbound

This paper cites Wide Residual Networks.

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

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.600039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1835a8f4-4bbd-406f-8284-569e20d995a4 · outbound

This paper cites write newline.

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

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:41:25.605048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.