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Paper Citation Record · LEDGER

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation

As of 22 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2607.18021.

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

pith.paper-citation-record.v1
2607.18021 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:26:23.848178Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

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

72 of 72 outbound references displayed

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  • unresolved71
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 5fde81a6-1980-4f55-9861-72740674a6e0 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation IEEE Transactions on Information Theory , volume=

Reference 1

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source=arxiv_source observed=2026-08-01T16:26:23.689039Z digest=sha256:fe6e230b6f51bc6c0329c1de1ad4e7cf572c8c1d74a7219c6c1ef9e6bb60b776

Observation 3ea1944d-8375-4e32-af4a-e64a72ab8530 · outbound

This paper cites How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy

Reference 2

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source=arxiv_source observed=2026-08-01T16:26:23.692711Z digest=sha256:b6a58b8ce29a71054bd6a20ee67d79b1896c651611fa292247087eb7626085c4

Observation 3e406039-f805-4c2b-9241-c2cb88cf5301 · outbound

This paper cites Proceedings of The 27th International Conference on Artificial Intelligence and Statistics , pages =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Proceedings of The 27th International Conference on Artificial Intelligence and Statistics , pages =

Reference 3

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source=arxiv_source observed=2026-08-01T16:26:23.695563Z digest=sha256:0c91f19ef9773a3d9d63e009fc91ba9109c23505b018ba3f2e46e97222c598fb

Observation 49d52a7d-a37f-4e2d-bdef-e1d0aff51826 · outbound

This paper cites Harnessing large-language models to generate private synthetic text.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Harnessing large-language models to generate private synthetic text

Reference 4

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source=arxiv_source observed=2026-08-01T16:26:23.697959Z digest=sha256:60f03acfa61bea16c8fa0ca0175f44d0d9467917a4114aa9259fbf11e4c9abb6

Observation c8fe4ec8-c90a-4926-b3e3-dce9a0bd764c · outbound

This paper cites Frigerio and A.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Frigerio and A

Reference 5

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source=arxiv_source observed=2026-08-01T16:26:23.700492Z digest=sha256:f0c04b0bc27e3ddf15a4b8bcbf6016eb8e8b0e6667735f457a214a2f6f399725

Observation c4def3f3-ef2e-4140-8ba9-c53ac66707a9 · outbound

This paper cites Xie and K.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Xie and K

Reference 6

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source=arxiv_source observed=2026-08-01T16:26:23.702781Z digest=sha256:c6fb4b2d6fe680d69464dba4150602c2b8679eae18f431f84b301062cd47dcb9

Observation 42716ed0-4fe5-43b9-bf0e-7abbfdd217bf · outbound

This paper cites Abacha and S.G.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Abacha and S.G

Reference 7

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source=arxiv_source observed=2026-08-01T16:26:23.705251Z digest=sha256:78c61fa6753651905b4e7e66d9e33e2964ec1b2bea70cdaa2e8c4b1c4952e804

Observation bdef7e5a-025d-4adf-be9f-f05213fca3d0 · outbound

This paper cites 36th International Conference on Algorithmic Learning Theory , year=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 36th International Conference on Algorithmic Learning Theory , year=

Reference 8

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source=arxiv_source observed=2026-08-01T16:26:23.707545Z digest=sha256:d982d244452dba7a957190a2b44bb48e391c482575df36169c557d61597a8602

Observation a8d2b923-17f4-4360-bcd2-7569d4b8a127 · outbound

This paper cites Differentially Private Next-Token Prediction of Large Language Models.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Differentially Private Next-Token Prediction of Large Language Models

Reference 9

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source=arxiv_source observed=2026-08-01T16:26:23.709584Z digest=sha256:b765a2d5c9bd834896d29e02926cb3470b77f3c6974cc8e51f222d23293fafd4

Observation d7bdf4cd-b487-499f-9d39-78bb6415fd39 · outbound

This paper cites Submix: Practical Private Prediction for Large-Scale Language Models.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Submix: Practical Private Prediction for Large-Scale Language Models

Reference 10

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source=arxiv_source observed=2026-08-01T16:26:23.711911Z digest=sha256:bb6ecdb3b50c618a13b7523f6fb4f9a263b35468a7c193b361e58f7a364ece42

Observation 311bcfab-b6f9-49f6-917c-6056ec2871d9 · outbound

This paper cites Differentially Private Synthetic Data via.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Differentially Private Synthetic Data via

Reference 11

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source=arxiv_source observed=2026-08-01T16:26:23.714635Z digest=sha256:755a0900a0bfae87e83f8942236cc5404d5419fcfa7b6ddf71cd2eadd92aaf14

Observation 2f80c7bd-ef97-44b4-af19-bef9c985a72a · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Forty-second International Conference on Machine Learning , year=

Reference 12

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source=arxiv_source observed=2026-08-01T16:26:23.717276Z digest=sha256:5cc18909dbb0d6b0dd0f327e757cfb13ac04ec2a08b06bde39ba2e5f59c31855

Observation dd4df007-672e-4136-b64b-cd581feff502 · outbound

This paper cites DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder

Reference 13

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source=arxiv_source observed=2026-08-01T16:26:23.719561Z digest=sha256:19020c6f42896a9c886f30fa54b51c76c66b4e9a6ecdd32267e77955923498f9

Observation 4850f5a0-48cc-48fb-a5ed-f690ec5158f5 · outbound

This paper cites Differentially Private Diffusion Models Generate Useful Synthetic Images.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Differentially Private Diffusion Models Generate Useful Synthetic Images

Reference 14

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source=arxiv_source observed=2026-08-01T16:26:23.721901Z digest=sha256:18ebe0a939d7d4946efe06c463f12c6f5421759a35d5b329de3965af616e9ec0

Observation ff227ae4-a710-47be-ba53-c4d8a93c36a8 · outbound

This paper cites Seemanand A.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Seemanand A

Reference 15

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source=arxiv_source observed=2026-08-01T16:26:23.724601Z digest=sha256:f8d2a43c5e2821985de65d839754f08fbb891fe5773f83b0928438fa7f7217fa

Observation 016f5022-b54d-41bd-9fee-2b559c2f18ea · outbound

This paper cites Jiang and G.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Jiang and G

Reference 16

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source=arxiv_source observed=2026-08-01T16:26:23.726681Z digest=sha256:695123c999a58eb1ba6719e92dcff81a39a59d1d39bcd0850ebde210be4a1b84

Observation 1b4428ef-bbad-46b5-8ba8-4d55aba63aed · outbound

This paper cites , journal =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation , journal =

Reference 17

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source=arxiv_source observed=2026-08-01T16:26:23.728686Z digest=sha256:f542dadb8c30d566a8133dd88b413b5afa56456a2f2252e1ce13be34d04c5e9f

Observation 768f3ac5-f2c5-49f4-aec8-01b1b11ab48e · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 18

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source=arxiv_source observed=2026-08-01T16:26:23.730910Z digest=sha256:31dcde05641fdb75c08e77d59e2bfcc9ca4bf689b066b1178a67929a7201e079

Observation c8452306-58ed-46ec-b82a-f1f7247bd134 · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-01T16:26:23.733342Z digest=sha256:09e973a7efa62255dd7bc8806bd7b87c5eb27534fc678ba418006fe4dd00782c

Observation 8544b864-1803-436e-bec8-460cc57aab1a · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 20

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source=arxiv_source observed=2026-08-01T16:26:23.735596Z digest=sha256:cea6e0919d94a4024c371dda978162fadc82eedba8d0a88c3de2a32e4c43dd2e

Observation d836240a-fabe-4f54-8215-d21967856af7 · outbound

This paper cites 2018 , booktitle =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2018 , booktitle =

Reference 21

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source=arxiv_source observed=2026-08-01T16:26:23.737978Z digest=sha256:14e03539efd69f69fa5e30ff96ceb59c957a40576a9ee3195d8f47071368c289

Observation ae3a93e3-73dd-45ad-b638-6cab99c35c17 · outbound

This paper cites 2017 , booktitle =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2017 , booktitle =

Reference 22

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source=arxiv_source observed=2026-08-01T16:26:23.740111Z digest=sha256:11c475ea4de7bbf1099b4893b33e17ac51c84fc1cb64782e722c27d98a8e59e9

Observation 1a64f7c9-17f0-4c99-8762-4f7d24049d6b · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-01T16:26:23.742272Z digest=sha256:75120ea53e2b655ffad4686486fa5748b522080671abc61dd2ba7f37b06969d7

Observation 44eccadc-85cd-42c4-a610-9d413d4da0b0 · outbound

This paper cites 2025 , url=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2025 , url=

Reference 24

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source=arxiv_source observed=2026-08-01T16:26:23.744346Z digest=sha256:b24c0b5d6309d3dccfb4331838b778285b640fbc976799934517284dc0cd2e06

Observation 63ebbc23-0126-4eb3-a98e-73a8f4f54d4c · outbound

This paper cites Differentially Private Synthetic Data with Private Density Estimation , year=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Differentially Private Synthetic Data with Private Density Estimation , year=

Reference 25

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source=arxiv_source observed=2026-08-01T16:26:23.746606Z digest=sha256:7492f8432ed106be2ddf049338ebc790603a05ec5ae780d960deecd34e86136f

Observation 4e781879-149d-4ec1-a26e-0e5200679ad5 · outbound

This paper cites 2021 , booktitle =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2021 , booktitle =

Reference 26

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source=arxiv_source observed=2026-08-01T16:26:23.748752Z digest=sha256:69325ecec7a3a6ee24bd36c25342ea46c5c86e343e891ebd45b71c7ea5106d60

Observation 057fdc17-b8fe-42b8-907b-7531ee0b239c · outbound

This paper cites Transactions on Machine Learning Research , issn=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Transactions on Machine Learning Research , issn=

Reference 27

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source=arxiv_source observed=2026-08-01T16:26:23.750831Z digest=sha256:20e0178a439f29ae8394c655c22360e2b923beb01728e017115d28883a31edc4

Observation 8e54e73d-4c15-4c2c-b630-8a6c763205a6 · outbound

This paper cites Proceedings of The 36th International Conference on Algorithmic Learning Theory , pages =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Proceedings of The 36th International Conference on Algorithmic Learning Theory , pages =

Reference 28

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source=arxiv_source observed=2026-08-01T16:26:23.752995Z digest=sha256:80422c7e312f820d8b0bbb2e37535a27fd6a415a50deeb6f9271176c3205294c

Observation aa4732a2-d5ec-43a1-9d32-2df8677e275e · outbound

This paper cites Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains

Reference 29

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source=arxiv_source observed=2026-08-01T16:26:23.755262Z digest=sha256:efe725f276c6b52c29c7af9356ddc3fb9f53fc89b84e53475e1775a142c7c8a7

Observation 1da76067-0ef8-49c6-b262-19c3d5895b33 · outbound

This paper cites 2021 , journal=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2021 , journal=

Reference 30

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source=arxiv_source observed=2026-08-01T16:26:23.757306Z digest=sha256:b1a3b03ffde0601df18093a014fba92fe3ba7aca3c09f738abf4e9e41b8aafec

Observation cf02eed5-0180-42ef-917e-e74138e1affc · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation The Twelfth International Conference on Learning Representations , year=

Reference 31

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source=arxiv_source observed=2026-08-01T16:26:23.759379Z digest=sha256:c205d54e3268814d416cf88bcefa923fd797f59805e5677e6f63d7769b1e3eb2

Observation cb1c18a1-ff53-4594-82bd-44041dfc600f · outbound

This paper cites Park and Y.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Park and Y

Reference 32

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source=arxiv_source observed=2026-08-01T16:26:23.761385Z digest=sha256:1d9352ac351459d9bfc322dd636be991544a0bfb0d701d70a48dc2926c3399ba

Observation be53c486-ff36-42a9-a1c3-5874861060d1 · outbound

This paper cites Yue and H.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Yue and H

Reference 33

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source=arxiv_source observed=2026-08-01T16:26:23.763416Z digest=sha256:2341bbbc74579c23e2258563fda35be244b894d0850d6ae7d6e61a78712cd923

Observation 22d7a2af-c798-41cf-b596-59aa896a2a7a · outbound

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Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 34

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source=arxiv_source observed=2026-08-01T16:26:23.765656Z digest=sha256:64eed5ecec384499b4d308be079d6f5e220510ee660030aa2a5f07243145f748

Observation 37d653ce-d627-4739-a02d-363ec81852d6 · outbound

This paper cites Theory of Cryptography , year=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Theory of Cryptography , year=

Reference 35

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source=arxiv_source observed=2026-08-01T16:26:23.767693Z digest=sha256:41dc80c4cc950c803e3e531c56c122f7de322671dbe1b5d1659b7adbc842c641

Observation a9c5617b-fdfd-4592-b34b-79cb76e1d3a7 · outbound

This paper cites A Simple and Practical Algorithm for Differentially Private Data Release , year =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation A Simple and Practical Algorithm for Differentially Private Data Release , year =

Reference 36

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source=arxiv_source observed=2026-08-01T16:26:23.769678Z digest=sha256:d3bde6deb587cfa88d2ef2dbfeb9b589f8fbf28f4988b1226b53ad98dff8f049

Observation 066c5ed0-0d31-4563-be36-b36c582e3ea2 · outbound

This paper cites and Srivastava, Divesh and Xiao, Xiaokui , title =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation and Srivastava, Divesh and Xiao, Xiaokui , title =

Reference 37

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source=arxiv_source observed=2026-08-01T16:26:23.771751Z digest=sha256:48c8e8787de5629acb4224e6373f00ec81a875b1f0457f7eb54a51ec2cfb59f2

Observation 19e0a89a-d076-4c3b-b773-77a6b6ccd054 · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-01T16:26:23.774171Z digest=sha256:ba291a66443cfa431378f0ba8f11b8abd71e0e027e8e89a4c5e122b2d2f1453c

Observation 969dabe1-4853-42c4-b0e6-00d2d2adea26 · outbound

This paper cites , title =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation , title =

Reference 39

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source=arxiv_source observed=2026-08-01T16:26:23.776291Z digest=sha256:833679f32b673a36f9f113744d7b6614f1c2771942a3bbfdfe0e9d7004054940

Observation ef1a6f89-414d-494b-b070-07878f596369 · outbound

This paper cites 2023 , booktitle =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2023 , booktitle =

Reference 40

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source=arxiv_source observed=2026-08-01T16:26:23.778524Z digest=sha256:cadd36c3cdd793d1a641f441c27a714ac556c05ba04f8b1e616f00182f1ae88f

Observation 27eed41c-447a-4e37-b9ad-1b2c37ea9ea0 · outbound

This paper cites Differentially Private Language Models for Secure Data Sharing.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Differentially Private Language Models for Secure Data Sharing

Reference 41

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source=arxiv_source observed=2026-08-01T16:26:23.780659Z digest=sha256:19b8868de0fbd0a6725b194059f43d9d7c283a3114481096812d1a9042154dc1

Observation e8487a09-2247-493e-9143-b8ed34728501 · outbound

This paper cites Brendan and Mironov, Ilya and Talwar, Kunal and Zhang, Li , title =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Brendan and Mironov, Ilya and Talwar, Kunal and Zhang, Li , title =

Reference 42

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source=arxiv_source observed=2026-08-01T16:26:23.782893Z digest=sha256:6527b8d450ca290219d5b10044b52cb5f81d9aacb4b06a6844d6e0f26d936137

Observation 2b39a0d9-0fa4-4552-ba18-78cd4d15fa60 · outbound

This paper cites Scalable Private Learning with PATE.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Scalable Private Learning with PATE

Reference 43

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source=arxiv_source observed=2026-08-01T16:26:23.785022Z digest=sha256:7b756eea8ae0aa3a032ec0861e6a5718258b2c72dab14071c95fd23f3bd90f6d

Observation 3507739c-f38b-4d51-bd6e-8eda9f1f214a · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 44

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source=arxiv_source observed=2026-08-01T16:26:23.787577Z digest=sha256:6d0bc49ff3e7f3ba9eff8f59988351bf18f01acdbe475483989d48cc7878ae17

Observation 411ff047-500a-4513-a9a7-d0b0b864e70a · outbound

This paper cites Xie and Z.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Xie and Z

Reference 45

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source=arxiv_source observed=2026-08-01T16:26:23.789647Z digest=sha256:336f1d71b367220db67e78fe9a9cb9313b012f40f16fbd6208d5f8c6389e5f52

Observation d8d26b9f-28c2-48cd-ac2b-4ff77e9dad1f · outbound

This paper cites Lin and S.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Lin and S

Reference 46

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source=arxiv_source observed=2026-08-01T16:26:23.791699Z digest=sha256:129e8591396c003ba6a6506ec4c782442c21cc315a8163d58b5d879af0751d72

Observation 83fead0b-946b-4da5-b0da-433e2ab98bff · outbound

This paper cites Hou and A.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Hou and A

Reference 47

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source=arxiv_source observed=2026-08-01T16:26:23.793759Z digest=sha256:da4a0802aecd78ad2f12a81426d8d5f716100ae5f2457a538217c5c0197af066

Observation e1c9babc-738c-4d96-b386-0d44ece5e489 · outbound

This paper cites Hou and M.Y.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Hou and M.Y

Reference 48

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source=arxiv_source observed=2026-08-01T16:26:23.795834Z digest=sha256:20300a9b5a971e5a1960f6b651079d1a267eac97131157c2282a24ded607f90e

Observation 15fc335f-783d-414a-a04e-d736dcf3d6c8 · outbound

This paper cites 30th USENIX Security Symposium (USENIX Security 21) , year =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 30th USENIX Security Symposium (USENIX Security 21) , year =

Reference 49

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source=arxiv_source observed=2026-08-01T16:26:23.798039Z digest=sha256:fe10b0ee466e8070a08d3042e3d7c7d1a911b821590c51e77e3519aef5d03c50

Observation dddef453-1bee-43a7-87bf-0ab7014de404 · outbound

This paper cites Graphical-model based estimation and inference for differential privacy , year=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Graphical-model based estimation and inference for differential privacy , year=

Reference 50

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source=arxiv_source observed=2026-08-01T16:26:23.800168Z digest=sha256:78e8ad8df1cef2a47710f4af070d67633a574f312f9a2fa2385c0dccb0ce3b42

Observation 103f798a-c4f0-4bda-ae9a-5e6296d21af4 · outbound

This paper cites Boedihardjo and T.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Boedihardjo and T

Reference 51

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source=arxiv_source observed=2026-08-01T16:26:23.802186Z digest=sha256:50745499d33700f218c94d5bc10826279cdc8be7b4ba6c40c859be97ad382dc8

Observation 212db4ea-1a84-43d9-a9e2-950d3756af77 · outbound

This paper cites Bojkovic and P.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Bojkovic and P

Reference 52

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source=arxiv_source observed=2026-08-01T16:26:23.804233Z digest=sha256:554050948b14f16ac57f1ac091fe8da4a5bc13ec06f9ec9457c3ee3ca1643d29

Observation ed2bce12-71ea-48c8-a657-bb24c42dfcde · outbound

This paper cites HDMM: Optimizing error of high-dimensional statistical queries under differential privacy.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation HDMM: Optimizing error of high-dimensional statistical queries under differential privacy

Reference 53

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source=arxiv_source observed=2026-08-01T16:26:23.806287Z digest=sha256:29affafbe198875219ab532d760355823dfef56a5208144630a7452726a0f561

Observation af1d7250-f841-4047-9e55-114b102d232b · outbound

This paper cites , journal =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation , journal =

Reference 54

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source=arxiv_source observed=2026-08-01T16:26:23.808870Z digest=sha256:c5bc2aaee632dcf28b6fc9f627a6e332c14681060fe19587e9a0098df1ff6d35

Observation fb4133a1-068b-4344-af00-e64b27e63c30 · outbound

This paper cites 2022 , booktitle =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2022 , booktitle =

Reference 55

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source=arxiv_source observed=2026-08-01T16:26:23.811127Z digest=sha256:a0fbdcfa75ade3e58c4bc709cc45cf0ddba191deca523b2a0fcc13ddd3edf1d2

Observation 66ec503f-ab0a-42e5-abc4-19592a5b0562 · outbound

This paper cites , journal =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation , journal =

Reference 56

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no resolver link, observed 2026-08-01T16:26:23.813327Z

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source=arxiv_source observed=2026-08-01T16:26:23.813327Z digest=sha256:3142c3752d210f2ffe1acbd4f8eba6141107fd2a8d5c5163fd2b620e11e10226

Observation 12245f0b-12e3-4090-acfa-aad55ce6cf7a · outbound

This paper cites Wang and S.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Wang and S

Reference 57

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source=arxiv_source observed=2026-08-01T16:26:23.815568Z digest=sha256:fa46ad7027ad37e8a07636355e582b4db3ede61bc0aee530ea306cdf3d95d47a

Observation 5631fdd2-6987-490f-9994-dc0407dffabe · outbound

This paper cites Generating Synthetic Datasets by Interpolating along Generalized Geodesics , year=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Generating Synthetic Datasets by Interpolating along Generalized Geodesics , year=

Reference 58

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source=arxiv_source observed=2026-08-01T16:26:23.817785Z digest=sha256:3c5e84b187128d1f66bc2a24c9fad4454d3dd99de81763d3c931bee15b6e477a

Observation e42d933e-2232-4910-9939-2b4c62d559a5 · outbound

This paper cites 2024 , series =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation 2024 , series =

Reference 59

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source=arxiv_source observed=2026-08-01T16:26:23.820120Z digest=sha256:cd5f9d784e13a59c28b0d91cb54615c3d85cff8cb7bce6b4de2a2b2d0d098aee

Observation 5a3d460a-2350-4e6c-b7c5-ee85689d1c1c · outbound

This paper cites Private prediction for large-scale synthetic text generation.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Private prediction for large-scale synthetic text generation

Reference 60

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source=arxiv_source observed=2026-08-01T16:26:23.822147Z digest=sha256:53911020f2e97d5c7321b770ec7447c4f072a6fb3e3739224a3e90c5a67c1a97

Observation 14cd8ee0-9d05-4199-82c5-041205c619be · outbound

This paper cites , howpublished =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation , howpublished =

Reference 61

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source=arxiv_source observed=2026-08-01T16:26:23.824353Z digest=sha256:b02f06713fb942d4c1cf7a4d5824206452e5224ca5b5a8f3c6ae2497232c366d

Observation 1381b457-7293-4641-9145-d9946496e775 · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-01T16:26:23.826472Z digest=sha256:c82f5873815f3c25cfbec208e4b4931f6b3605dc9a276f6cf77fe5f4bade7abf

Observation 7b47e3d8-7d58-4f30-ba8a-94326893993e · outbound

This paper cites CoRR , volume =.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation CoRR , volume =

Reference 63

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source=arxiv_source observed=2026-08-01T16:26:23.828520Z digest=sha256:51bab74b70d5dd6a73403c3a71571464fad530212e9bb4106348c7797b54404b

Observation 9a1759dd-12cd-4f38-a01d-6ae96e41e933 · outbound

This paper cites Sentence- BERT : Sentence Embeddings using Siamese BERT -Networks.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Sentence- BERT : Sentence Embeddings using Siamese BERT -Networks

Reference 64

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source=arxiv_source observed=2026-08-01T16:26:23.830665Z digest=sha256:317a86e2040d6d86c1cc62654c0d6d9eb8d91ea1d99cae984451bc0b5d27573f

Observation 817ea1b9-5159-4a83-8ba9-2d02b71110d8 · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-08-01T16:26:23.832685Z digest=sha256:ea94e481b31360c1f96691143f47b59a14917659c00f9901a36a984204946257

Observation f4b43801-882c-4f6e-acc0-038f0ad513d6 · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-08-01T16:26:23.835521Z digest=sha256:b9636cbc5a8d0456bc3e34f8620fc0b4a4a7fd0b9105e397d93fc698d6fb9a4b

Observation 30ecc0bd-e0e1-4f1a-9205-fcd3bbe5851c · outbound

This paper cites UCT opic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation UCT opic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining

Reference 67

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source=arxiv_source observed=2026-08-01T16:26:23.837435Z digest=sha256:532b486c2d10177727f867250b36c95ef5eb57e9d456e13f88eb5224e8af797b

Observation 4dce03c3-5d4b-4c84-a96d-8219934bb0eb · outbound

This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages=

Reference 68

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source=arxiv_source observed=2026-08-01T16:26:23.839465Z digest=sha256:2627d9123c5f1af3f5c5415276404458001aed387ee93742b2063667e22be2b7

Observation 046790fa-4c4f-48ac-a72f-3dc854eb8b84 · outbound

This paper cites an unresolved cited work.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-08-01T16:26:23.841597Z digest=sha256:1a5f185d589d76fdbc445bbf68b29bfc8059aa962eb8acc44a0aa0bfc74da715

Observation 9cdeef12-f0a0-4151-8557-487931fd0e6b · outbound

This paper cites International Conference on Machine Learning , pages=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation International Conference on Machine Learning , pages=

Reference 70

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source=arxiv_source observed=2026-08-01T16:26:23.843673Z digest=sha256:8c762db2a37e56f9728f46a718041a2e4e8cafc6de7cd80c8bb0d51f087f58f6

Observation f67898dd-a466-499e-b2b0-feb6090ba469 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation Advances in Neural Information Processing Systems , volume=

Reference 71

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source=arxiv_source observed=2026-08-01T16:26:23.845756Z digest=sha256:9af2b2300f036063b7f15b228e04c1bb19a2d22fdefbcfaef38a6bc762a70d31

Observation 2f734591-71c8-4976-a545-b80e6cb799d3 · outbound

This paper cites and Lustrek, M.

Optimal Domain-Aware Privacy Mechanisms for Synthetic Data Generation and Lustrek, M

Reference 72

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source=arxiv_source observed=2026-08-01T16:26:23.848178Z digest=sha256:f981fc8a80e749efb510923c313256a204bb374489fe48adccaa4469a0d47f96

Pith citing papers

No inbound Pith citation observations are available.