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Paper Citation Record · LEDGER

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy

As of 11 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2506.21308.

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

pith.paper-citation-record.v1
2506.21308 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 58 of 58 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84a092d0-6fdc-4de7-ac72-f98eea2f7b27 · outbound

This paper cites Differential privacy under dependent tuples—the case of genomic privacy.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Differential privacy under dependent tuples—the case of genomic privacy

Reference 1

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Observation ddf50018-7eea-48ac-9a97-271fe76aab93 · outbound

This paper cites Geoindistinguish- ability: differential privacy for location-based systems.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Geoindistinguish- ability: differential privacy for location-based systems

Reference 2

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Observation cd111f98-c0d1-4fb0-a7e3-4b5d8b397a1a · outbound

This paper cites Markovian models for home electricity consumption.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Markovian models for home electricity consumption

Reference 3

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Observation f04d6e0d-dcd3-4ef3-83eb-a991c95facf9 · outbound

This paper cites Behrends.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Behrends

Reference 4

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Observation 379fab8f-bd3d-4a46-bb9b-5cdd3d6ce952 · outbound

This paper cites A learning theory approach to noninteractive database privacy.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy A learning theory approach to noninteractive database privacy

Reference 5

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Observation b5b52f9a-07d5-4be5-8b76-ab1d65225ce0 · outbound

This paper cites Bivariate Distributions for Height and Weight of Men and Women in the United States.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Bivariate Distributions for Height and Weight of Men and Women in the United States

Reference 6

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Observation 0e08fe73-458f-495d-abfd-89927e3f6657 · outbound

This paper cites Membership Inference Attacks From First Principles.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Membership Inference Attacks From First Principles

Reference 7

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Observation d66ad237-8b0c-4265-805f-5ac7d2f02b2b · outbound

This paper cites Optimal Local Bayesian Differential Privacy over Markov Chains.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Optimal Local Bayesian Differential Privacy over Markov Chains

Reference 8

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Observation ab2f542e-a243-4579-8237-2a51ddeb8d48 · outbound

This paper cites Broadening the scope of differential privacy using metrics.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Broadening the scope of differential privacy using metrics

Reference 9

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Observation 33ec4f26-575d-435d-8f4e-374d6be04c9b · outbound

This paper cites Correlated network data publication via differential privacy.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Correlated network data publication via differential privacy

Reference 10

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Observation 1fca2d86-f4fe-4793-9c45-b44758d303cb · outbound

This paper cites Ching and M.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Ching and M

Reference 11

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Observation 48e1f0a5-4959-4eeb-80d6-a0763f5b0c73 · outbound

This paper cites May the privacy be with us: Correlated differential privacy in location data for ITS.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy May the privacy be with us: Correlated differential privacy in location data for ITS

Reference 12

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Observation fba2097f-4d03-4a33-ab82-04826b076965 · outbound

This paper cites Differential Privacy as a Mutual Information Constraint.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Differential Privacy as a Mutual Information Constraint

Reference 13

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Observation d57b580c-8ae6-458f-98e6-781f9d1adeb5 · outbound

This paper cites Modelling electricity consumption forecasting using the markov process and hybrid features selection.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Modelling electricity consumption forecasting using the markov process and hybrid features selection

Reference 14

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Observation fb3f6a18-8ecb-486f-b89a-b6191345dae3 · outbound

This paper cites SoK: Differential privacies.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy SoK: Differential privacies

Reference 15

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Observation 3a85d5b6-ae52-4c4f-9711-cddfa159e23e · outbound

This paper cites Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model

Reference 16

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Observation 9bca48c8-5cac-45b6-b7b7-01539e0985dc · outbound

This paper cites Calibrating Noise to Sensitivity in Private Data Analysis.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Calibrating Noise to Sensitivity in Private Data Analysis

Reference 17

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Observation 51cffb1c-7149-484c-b31b-d03fa3f8e75c · outbound

This paper cites Dwork and A.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Dwork and A

Reference 18

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Observation 74cfd7c5-d0df-4d49-9fec-eb792381642b · outbound

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Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 19

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Observation 73a26187-5fba-45da-a7d3-dcfc5f8b5002 · outbound

This paper cites Next place prediction using mobility Markov chains.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Next place prediction using mobility Markov chains

Reference 20

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Observation cf44fc4a-e1e8-400e-8b9b-59a570a2d0ac · outbound

This paper cites ¨Uber die Abgrenzung der Eigenwerte einer Matrix.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy ¨Uber die Abgrenzung der Eigenwerte einer Matrix

Reference 21

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Observation 4426896c-47d9-488b-be30-1bdfa504afa6 · outbound

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Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 22

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This paper cites Cauchy and the spectral theory of matrices.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Cauchy and the spectral theory of matrices

Reference 23

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Observation 9622b1cb-a2c4-45bd-8757-8917882a522b · outbound

This paper cites Blowfish privacy: tuning privacy-utility trade-offs using policies.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Blowfish privacy: tuning privacy-utility trade-offs using policies

Reference 24

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Observation 8194f58b-c8dd-4187-9284-4b7e2d9484d1 · outbound

This paper cites Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Hidden Markov models for monitoring circadian rhythmicity in telemetric activity data

Reference 25

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Observation 6568dcba-8171-4760-a614-aef1d503a519 · outbound

This paper cites Investigating Membership Inference Attacks under Data Dependencies.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Investigating Membership Inference Attacks under Data Dependencies

Reference 26

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Observation a8139446-7b96-4f10-8894-614c624f9267 · outbound

This paper cites No free lunch in data privacy.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy No free lunch in data privacy

Reference 28

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This paper cites Pufferfish: A framework for mathematical privacy definitions.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Pufferfish: A framework for mathematical privacy definitions

Reference 29

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Observation c1d8beda-aded-4cbf-80c0-effe78f0e75f · outbound

This paper cites Alternatives to P value: confidence interval and effect size.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Alternatives to P value: confidence interval and effect size

Reference 30

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Observation f14d8765-10e3-461c-9d7c-6d2cc88b93c3 · outbound

This paper cites How Much Is Enough? Choosing Epsilon for Differential Privacy.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy How Much Is Enough? Choosing Epsilon for Differential Privacy

Reference 31

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Observation 2920f759-7921-48ca-914b-1afa9af36973 · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 32

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Observation 5da7ed67-dcde-4f59-903c-494228f030e3 · outbound

This paper cites Impact of prior knowledge and data correlation on privacy leakage: A unified analysis.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Impact of prior knowledge and data correlation on privacy leakage: A unified analysis

Reference 33

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Observation 42bc7254-71f9-4d65-901f-c8803b63ba89 · outbound

This paper cites The link prediction problem for social networks.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy The link prediction problem for social networks

Reference 34

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Observation 1102c65f-ea71-463f-93ff-f2f832d2f774 · outbound

This paper cites Dependence Makes You Vulnerable: Differential Privacy Under Dependent Tuples.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Dependence Makes You Vulnerable: Differential Privacy Under Dependent Tuples

Reference 35

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Observation 317fc228-8af3-4639-8057-f7cf173d1e1d · outbound

This paper cites Target Height as Predicted by Parental Heights in a Population-Based Study.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Target Height as Predicted by Parental Heights in a Population-Based Study

Reference 36

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Observation 3fd26b26-b1f4-4756-a9e3-a48941027d64 · outbound

This paper cites Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Electricity, water, and natural gas consumption of a residential house in Canada from 2012 to 2014

Reference 37

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Observation 9a33a634-6902-4254-a76f-84965b164c01 · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-06T22:38:08.134935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.220229Z digest=sha256:97689d6d5f5b814eef86713c2b0a36e536fe4d904e700327d21468f0591dc8de

Observation 846b1924-450e-49e6-8208-c3f3270943a2 · outbound

This paper cites SoK: differentially private publication of trajectory data.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy SoK: differentially private publication of trajectory data

Reference 39

Resolution
verified exact
doi, observed 2026-08-06T22:38:01.392434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.296600Z digest=sha256:02b4eab0cc5ed2b2fd14656a6229eae8546c44a363fdaca0340d1cbb5c55e39f

Observation 9e9be520-85b9-4ec7-a1c3-d9652b75af0c · outbound

This paper cites Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model

Reference 40

Resolution
verified exact
raw_fallback, observed 2026-08-06T22:38:04.494894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.387633Z digest=sha256:c268b8276ee64df7225d93b8c8079d0cd7086f751e850cd8d96a01fb89685d4b

Observation ccbe2e83-762a-4d1a-9011-728dacad4b88 · outbound

This paper cites Near and D.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Near and D

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:38:07.966064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.457528Z digest=sha256:4650f61e895ea448f6534f4d0db68cb6a54e5034ac74c4b1edc519a2aa64af7c

Observation 8427a41e-c937-45fd-8281-36d1bea9a26f · outbound

This paper cites Pufferfish Privacy: An Information-Theoretic Study.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Pufferfish Privacy: An Information-Theoretic Study

Reference 42

Resolution
malformed identifier
raw_fallback, observed 2026-08-06T22:38:04.100912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.533476Z digest=sha256:cbdac29163f6cdd6b26ceee1c858cd937a211516ebd3368c2a9a31c1ccdfb89d

Observation b596b68d-4ff8-4816-a124-ce7dbc810ed0 · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 43

Resolution
verified exact
doi, observed 2026-08-06T22:38:01.221956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.610186Z digest=sha256:e121b10838150e36c3f6f2e30830f2214382ac5d4e8f6e034f56701ca14f86dc

Observation 1b49711c-55db-41a0-9838-5dd45de03564 · outbound

This paper cites The matrix cookbook.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy The matrix cookbook

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:38:07.788776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.712015Z digest=sha256:f1b5e33d2a7f632585c290936abb673962e29e0cbdf8631320459e8863962252

Observation 65226b8b-6d8b-484a-8140-def62eebe9b3 · outbound

This paper cites Plomin, J.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Plomin, J

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:38:07.618846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:58.785621Z digest=sha256:f5d86f7e607f427bcbf4551cca28848ddaf163d67d1204ada55d5ee63deb7ce7

Observation 7cf53fd3-e9d6-4f70-88b8-43a9bf51b83c · outbound

This paper cites Rue and L.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Rue and L

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:58.863607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:58.863607Z digest=sha256:ec8a32e6e30530928865e8ac156eda8cce70e89e59ebfb5e1addae5334f92254

Observation f314ae64-fda8-40e2-81bf-e94c9c9c4bca · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:58.937980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:58.937980Z digest=sha256:3572330c28926486fdc50026559ce7abc22641b6153737b099d9ad8bfc6a855c

Observation 32dc9c22-6a9c-43e6-bcc4-9255625571e0 · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:38:07.421202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:59.008650Z digest=sha256:821152f7eda6d4394be9fd2df06f96589458fff79f5fd50297e3bb5ee037674b

Observation 4e86f021-a365-4674-a26c-d889892f9b18 · outbound

This paper cites Pufferfish Privacy Mechanisms for Correlated Data.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Pufferfish Privacy Mechanisms for Correlated Data

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:59.174460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:59.174460Z digest=sha256:eef1ecaf36dd2539afc6f02b46184bfb610669b500cfc3322619c5c279b7da5f

Observation 5cadf07c-b8d3-4eaf-acd1-ad3d6a52ec86 · outbound

This paper cites Model extension and model selection.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Model extension and model selection

Reference 50

Resolution
verified exact
doi, observed 2026-08-06T22:38:00.880812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:59.300868Z digest=sha256:f7794e201966bba2683ff310c0e6bf86bb7af75f1ac9cbebd44b5aedd49a5a0d

Observation e481dea0-c551-4123-8af9-f38c71a844e4 · outbound

This paper cites Topics in Sparse Approximation.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Topics in Sparse Approximation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:38:07.263154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:59.476318Z digest=sha256:6f37a3b898539cd276496158da9674d589e1ff71d42e9ceb5f1c27259cecfd16

Observation d8426ece-ed54-4765-bad9-5f2d105ec312 · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:59.598927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:59.598927Z digest=sha256:87d0664ea44118eaac1054bb5bb9413d7a016d892a05c2a02cebd5ea68598868

Observation 446597ec-9a6a-4f1a-8b27-2f8f6b91d58b · outbound

This paper cites Why current differential privacy schemes are inapplicable for correlated data publishing?.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Why current differential privacy schemes are inapplicable for correlated data publishing?

Reference 53

Resolution
verified exact
doi, observed 2026-08-06T22:38:00.695705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:37:59.769325Z digest=sha256:30bf5ad2b78823a70745950dcbb6d74550863f5bd04ff7230b0467052dfcfd80

Observation 95551a62-5577-40bf-932b-91cd042962aa · outbound

This paper cites Locally Differentially Private Protocols for Frequency Estimation.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Locally Differentially Private Protocols for Frequency Estimation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-06T22:37:59.910166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:37:59.910166Z digest=sha256:aa270b2d14b03c71cc52affd3d02e3084a284e4fe7549758d3e7e3eda90a6591

Observation e24147cc-9a42-4c1e-a1d2-3de7c7bfd37f · outbound

This paper cites Randomized response: A survey technique for eliminating evasive answer bias.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Randomized response: A survey technique for eliminating evasive answer bias

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:00.032226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:00.032226Z digest=sha256:b40f4b13254c267ff31b36a0776159320a0323102a2768f86e520ebb194fcc83

Observation 2f5cb8fa-cb48-42e1-87d9-e2a60133a195 · outbound

This paper cites A statistical framework for differential privacy.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy A statistical framework for differential privacy

Reference 56

Resolution
verified exact
doi, observed 2026-08-06T22:38:00.478389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T22:38:00.145062Z digest=sha256:ae911e3615e1c87dcbfa099eafd03c84ac9210d28ecf3cc993be2ff6d6985559

Observation a2eca5b8-3b63-40f7-aab6-36449e316c80 · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:00.260747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:00.260747Z digest=sha256:41c75294a2198049b195eb8a3ac38a8242ab700ff7c31d745c48ade87ffb5b85

Observation e6bac72c-0b11-4f8d-a8e8-4d3d3f4ede2d · outbound

This paper cites Bayesian Differential Privacy on Correlated Data.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Bayesian Differential Privacy on Correlated Data

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T22:38:00.318450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:38:00.318450Z digest=sha256:44e356b036d789708c14de6ff7d371135e8488e2a6302166b144d88da7669fb1

Observation 336b3de1-8bbb-4843-947f-f8540208bf4c · outbound

This paper cites an unresolved cited work.

Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy Unresolved cited work

Reference 2016

Resolution
verified exact
doi, observed 2026-08-06T22:38:01.009725Z

Source-reported events for the cited work

correction dated 2019-10-18. Source: crossref record 10.1007/978-3-319-49314-5_10->10.1007/978-3-319-49314-5:correction, observed 2026-07-11T02:58:46.285322+00:00. This notice travels one citation hop only.

source=pdf_text observed=2026-08-06T22:37:59.051952Z digest=sha256:0f6fcea72357127961d1125d50fc318e069443014213d5605de8f8340ff69d90

Pith citing papers

No inbound Pith citation observations are available.