Paper Citation Record · LEDGER

That which we call private

As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:1908.03566.

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

pith.paper-citation-record.v1
1908.03566 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:26:41.082874Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:00:20.012126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:53:53.901980Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy17
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d95b956-a6e6-4107-991a-3c6594f234e7 · outbound

This paper cites Goodfellow, H.

That which we call private Goodfellow, H

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.300310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5d42e801-ffe0-4973-b6d5-c1cb28e4b5ac · outbound

This paper cites Learning with pri- vacy at scale.

That which we call private Learning with pri- vacy at scale

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.290118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebecc266-8b39-4365-a694-af71da6f08db · outbound

This paper cites Concentrated differ- ential privacy: Simpliﬁcations, extensions, and lower bounds.

That which we call private Concentrated differ- ential privacy: Simpliﬁcations, extensions, and lower bounds

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.281216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eb9b4007-84e0-4ae1-aed1-a98383fc090f · outbound

This paper cites The secret sharer: Measuring unintended neural network memorization & extracting secrets.

That which we call private The secret sharer: Measuring unintended neural network memorization & extracting secrets

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.271535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96a64511-f61b-4222-ab4b-f3b417d91b74 · outbound

This paper cites Collecting telemetry data privately.

That which we call private Collecting telemetry data privately

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.261897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a878e15-8db2-46a8-b1b9-cdd23ab47985 · outbound

This paper cites Our data, ourselves: Privacy via distributed noise generation.

That which we call private Our data, ourselves: Privacy via distributed noise generation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.252732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24014c0f-cb5a-4fb5-ad7e-7aabecf377a5 · outbound

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

That which we call private Calibrating noise to sensitivity in private data analysis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.242629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f85c300d-3118-4144-a910-4974e77e02bf · outbound

This paper cites Rothblum, and Salil Vadhan.

That which we call private Rothblum, and Salil Vadhan

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.231858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f97093f7-970d-4d37-b5f8-e4457803f282 · outbound

This paper cites RAPPOR: Randomized aggregatable privacy- preserving ordinal response.

That which we call private RAPPOR: Randomized aggregatable privacy- preserving ordinal response

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.221993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba23fc05-5f5f-4817-a77f-7a28e1cda1cf · outbound

This paper cites Differential privacy for functions and functional data.

That which we call private Differential privacy for functions and functional data

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.212860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 71f91be3-2727-4b0a-a858-2f5042a58499 · outbound

This paper cites Evaluating Differentially Private Machine Learning in Practice.

That which we call private Evaluating Differentially Private Machine Learning in Practice

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:41.052038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f825373-f4df-48fd-9c7f-a57e5bdbfacb · outbound

This paper cites R ´enyi differential privacy.

That which we call private R ´enyi differential privacy

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.201995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 50bd5490-303f-42fb-8cd1-01f2a88fefd0 · outbound

This paper cites Secureml: A sys- tem for scalable privacy-preserving machine learning.

That which we call private Secureml: A sys- tem for scalable privacy-preserving machine learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.191203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f0986356-b2aa-4e1b-83cb-ad592495d17d · outbound

This paper cites Semi-supervised knowl- edge transfer for deep learning from private training data.

That which we call private Semi-supervised knowl- edge transfer for deep learning from private training data

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.180147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81cdd153-3ade-48a1-bda4-1226548fa245 · outbound

This paper cites In- troducing tensorﬂow privacy: Learning with differential privacy for training data.

That which we call private In- troducing tensorﬂow privacy: Learning with differential privacy for training data

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.168464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8eaff7cd-2aa0-4f88-a383-ae73fce0d19f · outbound

This paper cites Do CIFAR-10 Classifiers Generalize to CIFAR-10?.

That which we call private Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:41.067815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d58a502-a456-4671-af9b-cdd7eee36ac9 · outbound

This paper cites Membership inference attacks against machine learning models.

That which we call private Membership inference attacks against machine learning models

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.159112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation de0039c9-316d-4b95-a1d6-93d26de6af06 · outbound

This paper cites Machine learning models that remember too much.

That which we call private Machine learning models that remember too much

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.148934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b4de073b-799e-4c21-bc69-95c7c3122cc3 · outbound

This paper cites Cold Case: The Lost MNIST Digits.

That which we call private Cold Case: The Lost MNIST Digits

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:26:41.113426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b031efc0-110f-45b8-90b7-b48c0fe11782 · outbound

This paper cites Privacy risk in machine learning: An- alyzing the connection to overﬁtting.

That which we call private Privacy risk in machine learning: An- alyzing the connection to overﬁtting

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:26:41.139776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 253e8ae2-52c5-4639-9858-c760156bf42c · inbound

Chernoff Information as a Privacy Constraint for Adversarial Classification and Membership Advantage cites this paper.

Chernoff Information as a Privacy Constraint for Adversarial Classification and Membership Advantage That which we call private

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:53:53.905502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df82ad52-554d-4722-b2ef-798c7b46476c · inbound

Membership Inference Attacks and Defenses in Federated Learning: A Survey cites this paper.

Membership Inference Attacks and Defenses in Federated Learning: A Survey That which we call private

Reference 141

Resolution: unresolved; no resolver link, observed 2026-08-11T20:00:20.012126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f49f927c-bd22-4b89-8edc-2feeeb1ce5bb · inbound

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics cites this paper.

On Privacy Leakage in Tabular Diffusion Models: Influential Factors, Attacker Knowledge, and Metrics That which we call private

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:05:57.350034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.