Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:39.745325Z
Paper Citation Record · LEDGER
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation
As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2506.00322.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
52 of 52 outbound references displayed
- verified exact1
- verified fuzzy47
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d79bfab8-a5b1-4972-9bcf-a69992c3027b · outbound
This paper cites Privacy preserving synthetic data release using deep learning.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Privacy preserving synthetic data release using deep learning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:49.838198Z
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.
Observation a747f2b5-b25c-4dbc-aafa-d48cbdaed9a4 · outbound
This paper cites Differentially private mixture of generative neural networks.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Differentially private mixture of generative neural networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:49.676201Z
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.
Observation 07989c89-c937-4408-83d2-7b13bb5e20ce · outbound
This paper cites What do you want from theory alone?.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation What do you want from theory alone?
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:49.531637Z
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.
Observation 53531fab-aebe-48c9-bc6b-f30d3ecdc0e4 · outbound
This paper cites Differentially private query release through adaptive projection.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Differentially private query release through adaptive projection
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:49.365964Z
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.
Observation 24bb5d67-4490-4838-83e0-2511eae5510a · outbound
This paper cites Data synthesis via differentially private markov random fields.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Data synthesis via differentially private markov random fields
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:49.140659Z
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.
Observation 3335c474-4a5c-4ee8-89c5-9c0254132877 · outbound
This paper cites Widespread underestimation of sensitivity in differentially private libraries and how to fix it.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Widespread underestimation of sensitivity in differentially private libraries and how to fix it
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:49.027409Z
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.
Observation f5e9efd6-aefa-478d-acdf-621b3c5006ef · outbound
This paper cites Ron-gauss: Enhancing utility in non-interactive private data release.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Ron-gauss: Enhancing utility in non-interactive private data release
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:48.746828Z
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.
Observation 63b7e9dd-296f-45f3-8c27-f937bb5ad79a · outbound
This paper cites Synthetic Data: Methods, Use Cases, and Risks.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Synthetic Data: Methods, Use Cases, and Risks
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:48.426133Z
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.
Observation 59336f84-4dcc-48a0-ab0d-6bc138f53b23 · outbound
This paper cites Lowering the cost of anonymization.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Lowering the cost of anonymization
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:48.262234Z
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.
Observation 235c69fa-55ba-4edc-a95f-e9e5dc66193a · outbound
This paper cites How to Break, Then Fix, Differential Privacy on Finite Computers.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation How to Break, Then Fix, Differential Privacy on Finite Computers
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.991404Z
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.
Observation ecee3cc3-0caf-4580-94b3-5841ce7e26dd · outbound
This paper cites UCI Machine Learning Repository.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation UCI Machine Learning Repository
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.838309Z
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.
Observation fa2698a2-da32-45fb-8814-2a9c1c90fdc3 · outbound
This paper cites The algorithmic foundations of differential privacy.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation The algorithmic foundations of differential privacy
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.682912Z
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.
Observation 8aa0b1dc-3e1e-4860-bce2-da7abb984238 · outbound
This paper cites Our data, ourselves: Privacy via distributed noise generation.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Our data, ourselves: Privacy via distributed noise generation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.565302Z
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.
Observation fab571c8-be71-43d1-b275-02b0c1a27744 · outbound
This paper cites Calibrating noise to sensitivity in private data analysis.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Calibrating noise to sensitivity in private data analysis
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.409314Z
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.
Observation c5c9a611-904c-470d-b133-93fe9d521e20 · outbound
This paper cites Using Synthetic Data in Financial Services.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Using Synthetic Data in Financial Services
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.280491Z
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.
Observation f56055b9-df72-4849-b398-e8e9a7e37465 · outbound
This paper cites Graphical vs.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Graphical vs
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.222925Z
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.
Observation 5b36ced3-2bee-413a-afdf-e85685f35982 · outbound
This paper cites The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:47.057455Z
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.
Observation 7eecdda4-fa02-4132-9579-d5fa0b0e798d · outbound
This paper cites The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
Reference 18
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T12:11:40.222256Z
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.
Observation b870a01f-c979-46ec-91e6-5d05d65fdff4 · outbound
This paper cites Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:46.921552Z
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.
Observation fbadfa51-b9a6-48f5-a70c-936e0453d96f · outbound
This paper cites Differentially Private Release of Israel’s National Registry of Live Births.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Differentially Private Release of Israel’s National Registry of Live Births
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:11:36.741132Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cb6c4df-fe3c-46c1-a625-803b6d4b48aa · outbound
This paper cites SoK: Privacy-Preserving Data Synthesis.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation SoK: Privacy-Preserving Data Synthesis
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:46.772977Z
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.
Observation f99ab235-a61d-4e1a-9e99-8ff41c8b2daf · outbound
This paper cites PATE-GAN: generating synthetic data with differential privacy guarantees.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation PATE-GAN: generating synthetic data with differential privacy guarantees
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:46.632366Z
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.
Observation 0607d1e6-5423-45e5-b201-fb6544a7a95b · outbound
This paper cites Synthetic Data -- what, why and how?.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Synthetic Data -- what, why and how?
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:11:37.040460Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bdbbcc5-0ca8-460e-8540-ca67b0f83668 · outbound
This paper cites Differentially private synthesization of multi-dimensional data using copula functions.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Differentially private synthesization of multi-dimensional data using copula functions
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:46.507107Z
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.
Observation 4037cbe3-2f72-4a2e-9684-fdc23c58440f · outbound
This paper cites Iterative methods for private synthetic data: Unifying framework and new methods.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Iterative methods for private synthetic data: Unifying framework and new methods
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:46.368295Z
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.
Observation 7c0f80ef-4fbe-4b4d-9503-0fa148f61b5f · outbound
This paper cites Dimitrov, and Martin Vechev.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Dimitrov, and Martin Vechev
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:46.235227Z
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.
Observation 553de64d-f49d-47fc-8860-3dae6f5092a9 · outbound
This paper cites Gunter, and Bo Li.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Gunter, and Bo Li
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:46.054871Z
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.
Observation a9866e5e-5fe4-4701-a3cd-ab12fd56236a · outbound
This paper cites dpart: Differentially private autoregressive tabular, a general framework for synthetic data generation.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation dpart: Differentially private autoregressive tabular, a general framework for synthetic data generation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:45.897510Z
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.
Observation 9a726c85-9a9c-4c9e-88d3-5c771aa178e4 · outbound
This paper cites private-pgm.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation private-pgm
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:45.710666Z
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.
Observation e55471d1-6e8d-4b44-9824-d7039683e882 · outbound
This paper cites A simple recipe for private synthetic data generation.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation A simple recipe for private synthetic data generation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:45.533569Z
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.
Observation d0d7b50c-5098-46c3-9b65-a4ca123e51a4 · outbound
This paper cites Graphical-model based estimation and inference for differential privacy.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Graphical-model based estimation and inference for differential privacy
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:45.424076Z
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.
Observation 229bb5a4-a350-4e6c-9a21-f700ab7a9f8a · outbound
This paper cites Winning the NIST Contest: A scalable and general approach to differentially private synthetic data.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Winning the NIST Contest: A scalable and general approach to differentially private synthetic data
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:45.218891Z
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.
Observation 29b4e1a4-aa8f-4a49-a2f2-cbd722e4dcfc · outbound
This paper cites AIM: an adaptive and iterative mechanism for differentially private synthetic data.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation AIM: an adaptive and iterative mechanism for differentially private synthetic data
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:45.087078Z
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.
Observation 0b4c8aab-adad-4c73-9a59-c6bf04dce4bb · outbound
This paper cites Mechanism design via differential privacy.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Mechanism design via differential privacy
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:44.940077Z
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.
Observation 81581fbd-e722-4728-b2d0-2b8f27d849e1 · outbound
This paper cites IOM and Microsoft release first-ever differentially private synthetic dataset to counter human trafficking.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation IOM and Microsoft release first-ever differentially private synthetic dataset to counter human trafficking
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:44.770873Z
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.
Observation a0f0e3fa-c392-4315-ab12-fc1ec924c03f · outbound
This paper cites 2020 Census Data Products: Data Needs and Privacy Considerations: Proceedings of a Workshop.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation 2020 Census Data Products: Data Needs and Privacy Considerations: Proceedings of a Workshop
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:44.601382Z
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.
Observation 7809976b-7566-4f5c-9053-5451a720d7be · outbound
This paper cites Adversary instantiation: Lower bounds for differentially private machine learning.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Adversary instantiation: Lower bounds for differentially private machine learning
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:44.403592Z
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.
Observation ad5b8551-9c44-4c78-8c05-13573f6d20dc · outbound
This paper cites Tight Auditing of Differentially Private Machine Learning.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Tight Auditing of Differentially Private Machine Learning
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:44.161654Z
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.
Observation 5fc3b721-cc56-4bcc-b5d3-d139d6719833 · outbound
This paper cites 2018 Differential privacy synthetic data challenge.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation 2018 Differential privacy synthetic data challenge
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:43.881537Z
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.
Observation 198d24be-4b20-4b7d-ac81-cb978557d7f0 · outbound
This paper cites Synthesising the linked 2011 Census and deaths dataset while preserving its confidential- ity.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Synthesising the linked 2011 Census and deaths dataset while preserving its confidential- ity
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:43.568461Z
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.
Observation 79c27e5a-26fa-445b-b810-a75eb7d131d7 · outbound
This paper cites SmartNoise SDK: Tools for Differential Privacy on Tabular Data.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation SmartNoise SDK: Tools for Differential Privacy on Tabular Data
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:43.256789Z
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.
Observation d4702de9-8564-4eee-bc56-87b60ec5f6af · outbound
This paper cites DataSynthesizer: Privacy-Preserving Synthetic Datasets.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation DataSynthesizer: Privacy-Preserving Synthetic Datasets
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:42.940333Z
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.
Observation 1abbf359-c23e-434f-b59d-fee1fb3cc312 · outbound
This paper cites Synthcity: a benchmark framework for diverse use cases of tabular synthetic data.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Synthcity: a benchmark framework for diverse use cases of tabular synthetic data
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:42.707219Z
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.
Observation ccd0ead2-1cae-47a9-a924-ca23777a034e · outbound
This paper cites Benchmarking differentially private synthetic data generation algorithms.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Benchmarking differentially private synthetic data generation algorithms
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:42.429003Z
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.
Observation a0671abf-56cb-4533-8287-1c0177fedb98 · outbound
This paper cites Synthetic data to test the effectiveness of a vulnerable person’s detection system in financial ser- vices.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Synthetic data to test the effectiveness of a vulnerable person’s detection system in financial ser- vices
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:42.110487Z
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.
Observation f9292f8b-3c49-4480-93be-4e6eb4525af7 · outbound
This paper cites New oracle-efficient algorithms for private synthetic data release.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation New oracle-efficient algorithms for private synthetic data release
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:41.781072Z
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.
Observation b74396ef-d497-4337-b552-f2f03a43b311 · outbound
This paper cites Private synthetic data for multitask learning and marginal queries.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Private synthetic data for multitask learning and marginal queries
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:41.430080Z
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.
Observation f6b7aaa9-52c9-4864-8e18-9ee72812ff26 · outbound
This paper cites Differentially Private Generative Adversarial Network.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Differentially Private Generative Adversarial Network
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:11:39.376082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d597f7f-4924-4134-8e46-d32e3cb01dd5 · outbound
This paper cites Privtree: A differentially private algorithm for hierarchical decompositions.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Privtree: A differentially private algorithm for hierarchical decompositions
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:41.127833Z
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.
Observation 962442ce-3c03-4e97-98dd-33484365f8af · outbound
This paper cites Procopiuc, Divesh Srivastava, and Xiaokui Xiao.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Procopiuc, Divesh Srivastava, and Xiaokui Xiao
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:40.845487Z
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.
Observation 0966b714-73c1-4703-8a0f-4231901aced1 · outbound
This paper cites Differentially Private Releasing via Deep Generative Model (Technical Report).
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation Differentially Private Releasing via Deep Generative Model (Technical Report)
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:11:39.627507Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31b2e230-d1f7-4a67-b09a-6b40bd8ecdc1 · outbound
This paper cites PrivSyn: Differentially Private Data Synthesis.
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation PrivSyn: Differentially Private Data Synthesis
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:11:40.535245Z
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.
Pith citing papers
No inbound Pith citation observations are available.