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Paper Citation Record · LEDGER

Edit-Neighboring Data Streams and Privacy under Continual Observation

As of 9 August 2026, this Paper Citation Record lists 100 of 153 outbound references and 0 inbound Pith citation observations for arXiv:2607.20727.

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

pith.paper-citation-record.v1
2607.20727 v1

Coverage vector

measured 100 of 153 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:41:24.436592Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

100 of 153 outbound references displayed

  • verified exact5
  • verified fuzzy0
  • unresolved95
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9ec33d1-6f6a-4262-8edd-cd1bc01ab8fc · outbound

This paper cites Differential Privacy on Dynamic Data.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differential Privacy on Dynamic Data

Reference 1

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local_arxiv, observed 2026-08-01T09:43:29.989752Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-01T09:41:22.971674Z digest=sha256:14561a8da6ee74aec799741a0456c52969a2ec4f6499877a8d62a3cf32bc4299

Observation 1fec2159-671f-4ee4-bde1-f5a666bb5d41 · outbound

This paper cites an unresolved cited work.

Edit-Neighboring Data Streams and Privacy under Continual Observation Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-01T09:41:22.976930Z digest=sha256:7af4bf7bd873107950e5d3a41d1a20dfa1948765ea463f96824e4b41a5afc27d

Observation 6c8a8f18-ed77-491b-8c6e-309af8358548 · outbound

This paper cites Privacy loss in.

Edit-Neighboring Data Streams and Privacy under Continual Observation Privacy loss in

Reference 3

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source=arxiv_source observed=2026-08-01T09:41:22.983197Z digest=sha256:483b403276c1df5278d5b045d3ba60ef8f51e0d5e59f79362448543f99e06ff3

Observation a06d7a5f-9cf2-4502-8fd1-3e3318c30e29 · outbound

This paper cites Differentially Private Continual Release of Histograms and Related Queries.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially Private Continual Release of Histograms and Related Queries

Reference 4

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local_arxiv, observed 2026-08-01T09:43:29.812209Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-01T09:41:22.990737Z digest=sha256:c3c574855503f93a7d6676cac51df8aa2c12ff9c940b644ac96707ab909c884c

Observation 867637fc-9ba9-4099-98b0-50d7dd3bfca0 · outbound

This paper cites Near Exact Privacy Amplification for Matrix Mechanisms.

Edit-Neighboring Data Streams and Privacy under Continual Observation Near Exact Privacy Amplification for Matrix Mechanisms

Reference 5

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source=arxiv_source observed=2026-08-01T09:41:22.998168Z digest=sha256:b14dee9aea0a772c9b048cee9a9d64218b6fbc43b4cb5147c11dea979a951374

Observation 2612bcbc-2703-468f-8e25-96e58a47d0ee · outbound

This paper cites Practical Considerations for Differential Privacy.

Edit-Neighboring Data Streams and Privacy under Continual Observation Practical Considerations for Differential Privacy

Reference 6

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source=arxiv_source observed=2026-08-01T09:41:23.022344Z digest=sha256:0ade7f201d81cd94f90734176f8202c55d3aad23b4a378458bbe0fd72780991b

Observation 2282948b-acc0-4e87-b372-f245ac1d0baf · outbound

This paper cites Count on Your Elders: Laplace vs Gaussian Noise , booktitle =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Count on Your Elders: Laplace vs Gaussian Noise , booktitle =

Reference 7

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doi, observed 2026-08-01T09:43:29.646906Z

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source=arxiv_source observed=2026-08-01T09:41:23.027233Z digest=sha256:deab0949807c710b5eaf3c1111d709c6cb60da55a1734c22a0e0868eb495efc2

Observation d4c6a83f-af1d-4283-8926-d6acda0a1ac6 · outbound

This paper cites 2026 , issue_date =.

Edit-Neighboring Data Streams and Privacy under Continual Observation 2026 , issue_date =

Reference 8

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doi, observed 2026-08-01T09:43:29.482805Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-01T09:41:23.031674Z digest=sha256:1e14a8b296360f688110bfbbc7265f553ef036b3154e01665b0833a55bce402b

Observation f35fd93c-6140-41c1-9ebc-29fcf389853d · outbound

This paper cites Brendan McMahan and Krishna Pillutla and Thomas Steinke and Abhradeep Thakurta , Booktitle =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Brendan McMahan and Krishna Pillutla and Thomas Steinke and Abhradeep Thakurta , Booktitle =

Reference 9

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source=arxiv_source observed=2026-08-01T09:41:23.036608Z digest=sha256:2aa849000702ee68cb6c8a0b30308bdd9b9f0fc29e8ee218bbd98185844fa6f6

Observation 6d525f5b-3509-4cd8-9d26-a4bc836f6c42 · outbound

This paper cites Google AI Blog , year=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Google AI Blog , year=

Reference 10

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source=arxiv_source observed=2026-08-01T09:41:23.043031Z digest=sha256:bedc0bebf98c4a29ae28954785ba7f9a9c5cfa53bf535d221980639061727cc2

Observation 045fe57f-f748-4f8c-acc9-19950a238c70 · outbound

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

Edit-Neighboring Data Streams and Privacy under Continual Observation International Conference on Machine Learning , pages=

Reference 11

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source=arxiv_source observed=2026-08-01T09:41:23.047352Z digest=sha256:11a5ea4d6fbe81870d5df1088e2f62326f6b01694d30826a0e27195a914b5be9

Observation e46f43b9-770f-4c03-9be1-c575337a350c · outbound

This paper cites 2019 , publisher=.

Edit-Neighboring Data Streams and Privacy under Continual Observation 2019 , publisher=

Reference 12

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source=arxiv_source observed=2026-08-01T09:41:23.063387Z digest=sha256:fa32136ba1e346f9946ac36bcb453e5aeffe6860410f45813c62b49d06fc5f56

Observation de9ec909-5dce-4f7b-82bc-2f5ea350d2cd · outbound

This paper cites Is interaction necessary for distributed private learning? , Year=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Is interaction necessary for distributed private learning? , Year=

Reference 13

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source=arxiv_source observed=2026-08-01T09:41:23.067844Z digest=sha256:50614172da8faa544986b7fc66c468f539123d2a46d1e6ff811828428dc5447a

Observation c1d1282e-380b-4c09-821d-43e205ccc288 · outbound

This paper cites Proceedings of the 16th International Conference on Database Theory , pages=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Proceedings of the 16th International Conference on Database Theory , pages=

Reference 14

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source=arxiv_source observed=2026-08-01T09:41:23.087759Z digest=sha256:9e8e3c7bdbc7f87d407415bd83970bf96acf4e55ef05b0dd24648e96ccd4eba4

Observation 037c9ea3-5f26-43de-bcac-9216f66600dc · outbound

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

Edit-Neighboring Data Streams and Privacy under Continual Observation Advances in Neural Information Processing Systems , volume=

Reference 15

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source=arxiv_source observed=2026-08-01T09:41:23.092092Z digest=sha256:f824954c783b34e7bb580524c9281ca30a490b5002adc6cb1383d355703be34b

Observation d8ed520c-3c09-4491-8aec-27ed16a62bc7 · outbound

This paper cites Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints.

Edit-Neighboring Data Streams and Privacy under Continual Observation Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints

Reference 16

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source=arxiv_source observed=2026-08-01T09:41:23.097134Z digest=sha256:37265ab54afcf72bc2bc8495d04d81d39787a7a4fbcc3e7d089be97d0881c6ac

Observation 1a15e5ad-cc6e-471d-b2e2-a3c52b82206d · outbound

This paper cites an unresolved cited work.

Edit-Neighboring Data Streams and Privacy under Continual Observation Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-01T09:41:23.104025Z digest=sha256:5724b5af6228e2d91d7444b38d7ccbadb56e288b2b60f35da28ca40005741c83

Observation f5c052e0-baaa-43f6-9a71-9cdaebd700c5 · outbound

This paper cites Differentially Private Histogram, Predecessor, and Set Cardinality under Continual Observation.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially Private Histogram, Predecessor, and Set Cardinality under Continual Observation

Reference 18

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source=arxiv_source observed=2026-08-01T09:41:23.110313Z digest=sha256:4d234f8647e83904ef69e70f4115bb27c8645300512b8175b06e812fed20b60b

Observation a3a35e2b-d281-4c0c-be11-65495f318bbe · outbound

This paper cites 14th Innovations in Theoretical Computer Science Conference (ITCS 2023) , pages =.

Edit-Neighboring Data Streams and Privacy under Continual Observation 14th Innovations in Theoretical Computer Science Conference (ITCS 2023) , pages =

Reference 19

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source=arxiv_source observed=2026-08-01T09:41:23.116849Z digest=sha256:6a40fc34cc25a42bc5374e39c026cf2cc25ca5a188fc7edc8941cdc30ba18cb9

Observation ba33f101-a161-4ed3-8fb4-bea12f36e146 · outbound

This paper cites and McMahan, H.

Edit-Neighboring Data Streams and Privacy under Continual Observation and McMahan, H

Reference 20

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source=arxiv_source observed=2026-08-01T09:41:23.122917Z digest=sha256:79a31d5d3dbe775e2994c24837a1ed19d84c12fa136f98599b0c90c095e15027

Observation bae95e8e-7fee-44cb-975e-7a4653a88468 · outbound

This paper cites Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=

Reference 21

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source=arxiv_source observed=2026-08-01T09:41:23.129859Z digest=sha256:e1fd2a6a8a584c6f51cd38c508b50ccdfdd0a847d6ec48a3c3fb77eded859812

Observation 80553689-1a66-45be-b700-8a4677ecb653 · outbound

This paper cites Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , year=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , year=

Reference 22

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source=arxiv_source observed=2026-08-01T09:41:23.134214Z digest=sha256:5611d94fbed7b6c52d9ec63e604dc8400e5827226c3fbbbff8a2f0429d1e3e10

Observation 1f1a3eb9-8b97-4b07-9b9c-ddfe03570829 · outbound

This paper cites Theory and Practice of Differential Privacy (TPDP 2015), London, UK , volume=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Theory and Practice of Differential Privacy (TPDP 2015), London, UK , volume=

Reference 23

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source=arxiv_source observed=2026-08-01T09:41:23.139881Z digest=sha256:fc234f25e4d3ee2c39fd3aa25836575979983d2fb219e979723fc143c6a5d6c9

Observation 2fcbc1c3-711d-4e2c-830e-d06a4de19767 · outbound

This paper cites Boosting the Accuracy of Differentially-Private Histograms Through Consistency.

Edit-Neighboring Data Streams and Privacy under Continual Observation Boosting the Accuracy of Differentially-Private Histograms Through Consistency

Reference 24

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source=arxiv_source observed=2026-08-01T09:41:23.144117Z digest=sha256:d8e4d14b6e87f9ee349a0f9b08611b4b10c3d50b04527112c73fa97d26c03247

Observation 7f2bb851-9845-4253-a774-fcd26c0542b3 · outbound

This paper cites Making Old Things New:.

Edit-Neighboring Data Streams and Privacy under Continual Observation Making Old Things New:

Reference 25

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source=arxiv_source observed=2026-08-01T09:41:23.148562Z digest=sha256:0f0dce86334bd9cb776c2537518c73ac09cefefb70233e02ca8090edcd9808d6

Observation b2b4f70e-0563-4ff8-8027-e9718c157b58 · outbound

This paper cites Proceedings of SIGMOD International Conference on Management of data , pages=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Proceedings of SIGMOD International Conference on Management of data , pages=

Reference 26

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source=arxiv_source observed=2026-08-01T09:41:23.155396Z digest=sha256:d4fb31468f54060404e2f11a3076196ff25cb8f7cf7524dfc7f8a0b4fe5e2c92

Observation 09f1236d-1801-448e-bf87-4aa46d8acf89 · outbound

This paper cites Network and Distributed Systems Security (NDSS) Symposium , year=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Network and Distributed Systems Security (NDSS) Symposium , year=

Reference 27

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source=arxiv_source observed=2026-08-01T09:41:23.164121Z digest=sha256:61e5d97d3895c6130835b7c97aff276f26ac6d099099a1f913bd1075a87c8ddd

Observation 6320df9a-d7f0-44b1-a3de-25a2eb27a3f1 · outbound

This paper cites International Conference on Learning Representation , year=.

Edit-Neighboring Data Streams and Privacy under Continual Observation International Conference on Learning Representation , year=

Reference 28

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source=arxiv_source observed=2026-08-01T09:41:23.173583Z digest=sha256:23764136bd43fd3e3869afc1328506e8bdedf6fc1caffce391f6b30d044cbca2

Observation b5b63b56-b52b-475f-aa82-b3116997996e · outbound

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

Edit-Neighboring Data Streams and Privacy under Continual Observation Advances in Neural Information Processing Systems , volume=

Reference 29

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source=arxiv_source observed=2026-08-01T09:41:23.178296Z digest=sha256:f930f7b95ce2b2287054ff7a34385fd322b0e340b552c46b5b6b6de9a8e73cf6

Observation f3038c6d-d2dd-441c-a359-8f297231586e · outbound

This paper cites Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security , pages=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security , pages=

Reference 30

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source=arxiv_source observed=2026-08-01T09:41:23.183694Z digest=sha256:b478e77cabee996f168b1e430530d7596d550740d8ec0bd628aa1eddade8d011

Observation 7b8bb62e-9bd2-41fe-97f8-c78a0d74b2ef · outbound

This paper cites Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=

Reference 31

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source=arxiv_source observed=2026-08-01T09:41:23.189804Z digest=sha256:9ea91e5acd9c6678330d697721f3963f7bc604f4de60b8decbaa4353d751b60f

Observation bbdf68f4-8378-4f1a-b6b5-555172742c26 · outbound

This paper cites Frequency estimation under multiparty differential privacy: One-shot and streaming , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Frequency estimation under multiparty differential privacy: One-shot and streaming , Year =

Reference 32

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source=arxiv_source observed=2026-08-01T09:41:23.193612Z digest=sha256:d8e366c114d017941e91bb4a7ffaedd1d997b2cf92e1cc318ac6765dfd2bff11

Observation 51cd78a4-7cd2-49d3-80b5-1c29df00a7b1 · outbound

This paper cites Efficient algorithms for privately releasing marginals via convex relaxations , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Efficient algorithms for privately releasing marginals via convex relaxations , Volume =

Reference 33

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source=arxiv_source observed=2026-08-01T09:41:23.198827Z digest=sha256:866e7c4e6b7f9192f42677ce56e41d59f5cfc0a019053e015ff23bce6ea86f6d

Observation b969efa1-dc5f-4e2a-925b-c51230717e7a · outbound

This paper cites Factorization norms and hereditary discrepancy , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Factorization norms and hereditary discrepancy , Volume =

Reference 34

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source=arxiv_source observed=2026-08-01T09:41:23.220554Z digest=sha256:e9baa37f4e69b65ab969b538f9a7ceff8a488106d0dc5b575774a577a379005f

Observation 63649724-f643-4a31-b04e-460be3529e0d · outbound

This paper cites Sublinear Space Private Algorithms Under the Sliding Window Model , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Sublinear Space Private Algorithms Under the Sliding Window Model , Year =

Reference 35

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source=arxiv_source observed=2026-08-01T09:41:23.257358Z digest=sha256:49a081ec768f724d04aa8fe81a44bed3204bdb3ebf6e25c4b2faef89abad7cf6

Observation 4a7af009-7941-4d9a-9bef-fdc7d8590d1c · outbound

This paper cites Convex Optimization , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Convex Optimization , Year =

Reference 36

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source=arxiv_source observed=2026-08-01T09:41:23.270868Z digest=sha256:89ab61471ef2d2c7ef8c01307fdc7399ff3f538cec55d0cd496a1a513ee63dbe

Observation 19cf6482-8501-4543-b422-83d0712ab6aa · outbound

This paper cites Differentially private continual monitoring of heavy hitters from distributed streams , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially private continual monitoring of heavy hitters from distributed streams , Year =

Reference 37

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source=arxiv_source observed=2026-08-01T09:41:23.279873Z digest=sha256:8289c043efa376b892f424f4925f64fbdcdd13430871d7541108155a2a4700ea

Observation 65ed35c8-08c0-414d-8082-b42b34f75494 · outbound

This paper cites The algorithmic foundations of differential privacy , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The algorithmic foundations of differential privacy , Volume =

Reference 38

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source=arxiv_source observed=2026-08-01T09:41:23.287333Z digest=sha256:390e6c53d9c738c3727f2d7febf78973843bf92e2d28317639075c3a407d9dff

Observation be4d24a5-b7f0-4cdb-8c66-69aaa52461e4 · outbound

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Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially Private Continual Release of Graph Statistics , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.318362Z digest=sha256:cc607e70a4b94692658bca015f8397b8511a21dcdf4558bae9df1f4ae469c4b9

Observation 83daea5f-5647-413e-8f7a-af3daf52058e · outbound

This paper cites TCC , Date-Added =.

Edit-Neighboring Data Streams and Privacy under Continual Observation TCC , Date-Added =

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source=arxiv_source observed=2026-08-01T09:41:23.320321Z digest=sha256:f980cea2b66cd8313de34f1f319c28fa574a9f4ec8528580eab612ce4506d578

Observation 01fb167b-6423-45a0-b1cc-286661b59015 · outbound

This paper cites Differentially private histograms under continual observation: Streaming selection into the unknown , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially private histograms under continual observation: Streaming selection into the unknown , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.322329Z digest=sha256:7b42fb1205c699d504b6eda531286c65b0c9b3450a245715629a4b6b77693311

Observation 1504c36a-d29c-4400-ae08-422f7bec0204 · outbound

This paper cites Differentially Private Algorithms for Graphs Under Continual Observation , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially Private Algorithms for Graphs Under Continual Observation , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.347385Z digest=sha256:0b8ca58f19fa14217db638c498faaff274023ac9b32cf3badfdd85322b9595ed

Observation b8d27f17-a73c-4075-bae1-76281f235a78 · outbound

This paper cites Differentially Private Analysis on Graph Streams , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially Private Analysis on Graph Streams , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.400992Z digest=sha256:cc88fb5da1d2ea2a6cec495f02fa1f5df52dabd83048db9a954d2114d9737d83

Observation 4711a658-2372-40cf-8f57-896a8d1ba422 · outbound

This paper cites A Framework for Private Matrix Analysis in Sliding Window Model , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation A Framework for Private Matrix Analysis in Sliding Window Model , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.481206Z digest=sha256:b24e79a728b49040eab80d9b322ab9c86507875c1f37d161e4db3a6625007bb9

Observation dd71138e-fcb8-4888-8d6a-f10ef7bcd27a · outbound

This paper cites The Price of Privacy for Low-rank Factorization , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The Price of Privacy for Low-rank Factorization , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.531452Z digest=sha256:769fd7a45349fd58329f078b1b50006aeb5ca5d1d70afa19e5aa77b27034ec39

Observation 259824ff-0298-4ad5-b1a2-d05032a032a0 · outbound

This paper cites Private and Continual Release of Statistics , Url =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Private and Continual Release of Statistics , Url =

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source=arxiv_source observed=2026-08-01T09:41:23.584145Z digest=sha256:c9cf59362390484fda2f6d750836b2d486521a512fb3c2c1db2a2c4d5343de2a

Observation 4a5ac443-c288-4e78-8265-a7de5dcbc239 · outbound

This paper cites Maintaining Stream Statistics over Sliding Windows , Url =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Maintaining Stream Statistics over Sliding Windows , Url =

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verified exact
doi, observed 2026-08-01T09:43:29.340984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-01T09:41:23.651475Z digest=sha256:c5aeb847d628dbe99a6b8314f2a55d2eed87b3c6df822c328d82c67b558d4e05

Observation f03df6c0-1940-478c-ae21-3292c827a7df · outbound

This paper cites Near optimal linear algebra in the online and sliding window models , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Near optimal linear algebra in the online and sliding window models , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.741596Z digest=sha256:582ba66df4ab14a9edb342f985b6ea9ed75b6a67b9904d289446e2c323ecd300

Observation 9d8d7cd1-b943-4735-8a05-d5146a857324 · outbound

This paper cites Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols , Volume =

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source=arxiv_source observed=2026-08-01T09:41:23.757348Z digest=sha256:835d0f84b4425cd7bbdcb7e85b11884cbf92087653d2c0c50893c4eed48e5c13

Observation 1ab48199-ffc3-4cd0-aa74-caf73e56682f · outbound

This paper cites Introduction to the non-asymptotic analysis of random matrices , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Introduction to the non-asymptotic analysis of random matrices , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.869689Z digest=sha256:d6be2f0007f28c8f6ba64e099b9c574d8b8a37a95074745f2c2beb8d150ff267

Observation e2fe5198-627f-4f3e-9c23-71fa05b4b88c · outbound

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

Edit-Neighboring Data Streams and Privacy under Continual Observation Our data, ourselves: Privacy via distributed noise generation , Year =

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source=arxiv_source observed=2026-08-01T09:41:23.973567Z digest=sha256:ba06dbba19e402982c0e3bfd6e3ec95fcb9eaececd996bb4952d66b50d46ef5b

Observation b00bb498-c56a-484a-8dda-2c24d3f576c0 · outbound

This paper cites Frequency estimation over sliding windows , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Frequency estimation over sliding windows , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.093230Z digest=sha256:732c21102eee2d108bc5688c60051b69644a430399409bf3872036e9a0e9d097

Observation 0f33f8eb-fdf1-4fa1-940e-d706b07a92b8 · outbound

This paper cites Finding heavy hitters over the sliding window of a weighted data stream , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Finding heavy hitters over the sliding window of a weighted data stream , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.251403Z digest=sha256:88b95639cc7462873b99dcc435ca61b717064d4a42225bd6c6cce792c93aef36

Observation 9835e947-2d0b-4151-8071-1e77a89856c6 · outbound

This paper cites Continuous monitoring of distributed data streams over a time-based sliding window , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Continuous monitoring of distributed data streams over a time-based sliding window , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.259301Z digest=sha256:3820fc1194529c1f1a91910e50f34fef6afa35a3cd37cb7e2e6e909574be946a

Observation 0ca606d8-56c4-48d5-9fed-71b11e0032be · outbound

This paper cites Optimal sampling from sliding windows , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Optimal sampling from sliding windows , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.269553Z digest=sha256:dcf996d9d253e3cff525c17bb37778b3449fa8cbe806d6c872e951ace5dafd73

Observation 0b613298-9df4-4e3a-acb9-d8d7ef31ee0a · outbound

This paper cites How to catch l2-heavy-hitters on sliding windows , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation How to catch l2-heavy-hitters on sliding windows , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.322717Z digest=sha256:f2e51a9e713b00cbfe119c225faded589d54ccb4331901307c22e6fc3449e25c

Observation be5ebd3d-05c9-405b-adf8-c08c850e5600 · outbound

This paper cites Sampling from a moving window over streaming data , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Sampling from a moving window over streaming data , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.342393Z digest=sha256:65290b11dedebbc4d37f7bead4906b8b000d5ffe26e5ee750943a45297f99feb

Observation e82feabe-d32d-47b3-9429-55f413f0d0f4 · outbound

This paper cites Approximate counts and quantiles over sliding windows , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Approximate counts and quantiles over sliding windows , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.344409Z digest=sha256:3dd2d90aa4b12af4f106c5a22180e3768a209e5f413679b99b7f7c53ee57ee75

Observation 0ad6c6f1-71ee-4de4-be20-8a02f674a5ac · outbound

This paper cites Muthukrishnan , Journal =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Muthukrishnan , Journal =

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source=arxiv_source observed=2026-08-01T09:41:24.346953Z digest=sha256:fa7935cfdcc5ce2f4f7a003adb1e79acc753fca18bd626a88e79d6b9dc735da0

Observation 9fb554d1-c9d0-424c-b95f-6ca4b07629be · outbound

This paper cites Garofalakis , Booktitle =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Garofalakis , Booktitle =

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source=arxiv_source observed=2026-08-01T09:41:24.348901Z digest=sha256:b7c8366118f01b81da9d2e02a6655ea6110f15b63de999e7dabb7ea4f8860ef5

Observation 2e610200-766b-4e52-bb1d-e7056c0dd928 · outbound

This paper cites Muthukrishnan , Journal =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Muthukrishnan , Journal =

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source=arxiv_source observed=2026-08-01T09:41:24.350841Z digest=sha256:ff147da9549f8640a480457fad34e3bb40080c0b8db34227492bfa0f84798c79

Observation 0220eae7-5de1-47c0-8829-ec15c82aff66 · outbound

This paper cites Matrix completions, norms and Hadamard products , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Matrix completions, norms and Hadamard products , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.353123Z digest=sha256:2cf7f40d12f0d86310ec6be39d45f1671b6ed6f4fdf25f5f75170ccb99ba741f

Observation f3fefa41-69eb-4cb7-836c-e3a9d7e492bd · outbound

This paper cites The power of factorization mechanisms in local and central differential privacy , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The power of factorization mechanisms in local and central differential privacy , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.355115Z digest=sha256:758f61448eda019cbec167bbd0054b1faf6840ea6d92304ed0298546f8c5cc5a

Observation c51bafb3-e7e4-40fb-ad4e-374ebac9e887 · outbound

This paper cites Quantum circuits with mixed states , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Quantum circuits with mixed states , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.357269Z digest=sha256:70a853f38efbba1f7f4ebb28838a80d8e25829a4c5156ca0bed6c29defbd996c

Observation 14d9ed6d-4975-43a2-9c68-888df027ff26 · outbound

This paper cites Differentially private online learning , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differentially private online learning , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.359151Z digest=sha256:cfd2478b671704726680528f229e19e872a431de9986b87d2672e3cb20787ec8

Observation ba44cbbd-296b-4cce-8eba-709947faf50e · outbound

This paper cites Local privacy and statistical minimax rates , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Local privacy and statistical minimax rates , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.361515Z digest=sha256:d559830b7b4a7b203ef52c7f12a8a8ba95a0327e80220366d5abbd1cd135f69e

Observation 6c8a04e6-abe2-484b-9cac-b28c3af559aa · outbound

This paper cites Chordal graphs and semidefinite optimization , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Chordal graphs and semidefinite optimization , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.363807Z digest=sha256:91686b38758ba536b14045ceb7787aa1dfd561195017a95269e1c7f7d26b2e76

Observation 5b3be3f4-e3da-4224-887f-8276b5f2c0b7 · outbound

This paper cites Unconditional differentially private mechanisms for linear queries , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Unconditional differentially private mechanisms for linear queries , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.365535Z digest=sha256:821990f6574b823ecb6351d94e6a2a7e15dc016c152868f97fa73c59fdf43b31

Observation b614a208-3efa-4fb0-9d80-5501d8d5378d · outbound

This paper cites A data-and workload-aware algorithm for range queries under differential privacy , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation A data-and workload-aware algorithm for range queries under differential privacy , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.367891Z digest=sha256:7aab260a7f5a1fa1a0ce44d08da86a214f1acf318e6608e438f910041de87d24

Observation a2db552d-dbfd-4ee6-b36d-6a21a2974f78 · outbound

This paper cites Operator Algebras and Mathematical Physics: 24th International Workshop in Operator Theory and Its Applications, Bangalore, December 2013 , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Operator Algebras and Mathematical Physics: 24th International Workshop in Operator Theory and Its Applications, Bangalore, December 2013 , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.369766Z digest=sha256:72c6b51a3456bea376c8961609e902cb6d513d039c654175138e506ab15350c5

Observation 4c6a662a-ffff-43d8-a668-a97ad473c480 · outbound

This paper cites Optimal error of query sets under the differentially-private matrix mechanism , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Optimal error of query sets under the differentially-private matrix mechanism , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.372007Z digest=sha256:b74d00e25e187e9dfb18125b0f15e3e2e5d7d2a0b61e494ddcff60e2e90262be

Observation acfe6abc-291d-4e27-b299-b783a11885b8 · outbound

This paper cites The matrix mechanism: optimizing linear counting queries under differential privacy , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The matrix mechanism: optimizing linear counting queries under differential privacy , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.374114Z digest=sha256:6f14e750c6d2e4293884b05c6b63f058ff7c492959bac91c199eda6a57bd18b1

Observation e26f9434-95c4-42a1-a2ec-88d67ad2a8b1 · outbound

This paper cites Differential privacy via wavelet transforms , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differential privacy via wavelet transforms , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.376228Z digest=sha256:53a17bc69138c3dc426b835fb70cb919152dd7623bdcb08119e88bd0ca6fd269

Observation 84e6d79f-7150-4953-9af3-399549017a45 · outbound

This paper cites Contravariant densities, complete distancesand relative fidelities for quantum channels , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Contravariant densities, complete distancesand relative fidelities for quantum channels , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.378356Z digest=sha256:1edb51e665a7428aaefb9de0d3a7c97fbb57c579969eab4dcf35d732cf0dc6ab

Observation 0d40b774-42e4-49dd-b004-5428a580f9ce · outbound

This paper cites The Price of Differential Privacy under Continual Observation , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The Price of Differential Privacy under Continual Observation , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.380534Z digest=sha256:a5f7de624e2b2a9ccf1f6a5e21da49331e2ed19c67a2466d760aa4c45060306c

Observation 007c5914-305a-476e-ae63-b859e59f6db6 · outbound

This paper cites The Price of Differential Privacy under Continual Observation , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The Price of Differential Privacy under Continual Observation , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.382673Z digest=sha256:09bab11c9699402b3f576c18cc7447760dbb4536ff34411d2df1c6bf544255b6

Observation d8f6def5-f50b-4f54-8c76-307fa217dfde · outbound

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Edit-Neighboring Data Streams and Privacy under Continual Observation Differential Privacy: From Theory to Deployment,

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source=arxiv_source observed=2026-08-01T09:41:24.384863Z digest=sha256:214dfec0607f41070b70c5b2209a87f56c75b70de7dd8a567bb4bdd0c8b49359

Observation 39e47016-90e8-41ec-8da6-7f840238ce14 · outbound

This paper cites Continuous Release of Data Streams under both Centralized and Local Differential Privacy , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Continuous Release of Data Streams under both Centralized and Local Differential Privacy , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.387062Z digest=sha256:b652cd5ad3a36fdb3d6cd44b419b7f39fefdb4eeef1393d3434aec6f77cce479

Observation 20dae921-513e-4009-a67e-b248bc9173c6 · outbound

This paper cites Differential privacy for growing databases , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Differential privacy for growing databases , Volume =

Reference 80

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source=arxiv_source observed=2026-08-01T09:41:24.389151Z digest=sha256:da0cf722ce885affd5354bf5b467039bfd5c8fc73701f42b340dd91fa573e3f8

Observation c65df188-3119-4dab-9a60-f663f8acb29a · outbound

This paper cites Pure differential privacy for rectangle queries via private partitions , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Pure differential privacy for rectangle queries via private partitions , Year =

Reference 81

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source=arxiv_source observed=2026-08-01T09:41:24.392002Z digest=sha256:099a77d45fbb6394f2b815aacec05225a5b19c5852fc7b269e301f1b1e3f7e5a

Observation 45f2fa9d-4ba4-423e-b1be-6c95c47962e8 · outbound

This paper cites an unresolved cited work.

Edit-Neighboring Data Streams and Privacy under Continual Observation Unresolved cited work

Reference 82

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source=arxiv_source observed=2026-08-01T09:41:24.394086Z digest=sha256:959e937c702d257470baf12b5ff432102e84016ee078025d911c42890f4263de

Observation 6c8e241f-ca73-4105-b003-136d10e868f9 · outbound

This paper cites The Hadamard operator norm of a circulant and applications , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The Hadamard operator norm of a circulant and applications , Volume =

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no resolver link, observed 2026-08-01T09:41:24.396131Z

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source=arxiv_source observed=2026-08-01T09:41:24.396131Z digest=sha256:63aeddcd98c083c8ccb7fca87e9746924770be542eefd40ba01e8bcd9ab19d68

Observation 7eadee7a-fb44-42d5-9e89-917b32791217 · outbound

This paper cites The continuous distributed monitoring model , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The continuous distributed monitoring model , Volume =

Reference 84

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source=arxiv_source observed=2026-08-01T09:41:24.398232Z digest=sha256:999ce229e78769c37815c82d80e4330c38f2dcb3ea1625da20437af5b2cf4186

Observation f46fc296-2529-467a-9def-c9d59caf2fae · outbound

This paper cites Submodular Optimization Over Sliding Windows , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Submodular Optimization Over Sliding Windows , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.400359Z digest=sha256:fae25701d8d94790f515c38fd5583e6626bc59742fef486cc7680d88a4cffe98

Observation 6df77138-64b0-4aeb-8a25-ec05281296bc · outbound

This paper cites The Sliding-Window Computation Model and Results , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The Sliding-Window Computation Model and Results , Year =

Reference 86

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source=arxiv_source observed=2026-08-01T09:41:24.402468Z digest=sha256:43cf40131a70eff82b503fcd5be8b7b266855b0382f0c5efaee30917c45100a5

Observation 1caeffae-54cf-4f4c-be63-c387c16b86ce · outbound

This paper cites Maintaining Stream Statistics over Sliding Windows , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Maintaining Stream Statistics over Sliding Windows , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.404692Z digest=sha256:747b1a44460c286b52e9101f88afde713f232548a1bcaf758dae162ad9b49059

Observation b5180be0-0fdb-4f76-bd4e-1321ea6477d2 · outbound

This paper cites Gaussian fields , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Gaussian fields , Year =

Reference 88

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source=arxiv_source observed=2026-08-01T09:41:24.406951Z digest=sha256:9b860e80f612d33732a21b60deb331875474c3537d59af3902a974fae030589c

Observation c0876bce-7bdb-4a45-8059-07442b80407e · outbound

This paper cites Private Online Prediction from Experts: Separations and Faster Rates , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Private Online Prediction from Experts: Separations and Faster Rates , Year =

Reference 89

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source=arxiv_source observed=2026-08-01T09:41:24.409170Z digest=sha256:baf3f1cff265117279873d7676fe067457fa9ff3329632fb1e518143847418c5

Observation 473c0108-2de8-4a34-a24d-0f8b7dedcfbb · outbound

This paper cites Private stochastic convex optimization: Optimal rates in l1 geometry , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Private stochastic convex optimization: Optimal rates in l1 geometry , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.411252Z digest=sha256:9aff389df0b6a458c3fcad8fb8a249e3c27f31a64d59dab160299b33a725ee11

Observation 4cd60327-99b3-4661-9a0e-9dc09ad3e4f3 · outbound

This paper cites Soviet Physics Doklady , volume=.

Edit-Neighboring Data Streams and Privacy under Continual Observation Soviet Physics Doklady , volume=

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source=arxiv_source observed=2026-08-01T09:41:24.413479Z digest=sha256:76876cba11243077fbe97530d9b13f9e4898de9e825c35cf3bf14eb5a6e35d36

Observation d62941de-7eba-4587-8a22-bc30b2669393 · outbound

This paper cites , author=.

Edit-Neighboring Data Streams and Privacy under Continual Observation , author=

Reference 92

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source=arxiv_source observed=2026-08-01T09:41:24.415829Z digest=sha256:3aada433b2d44b054369b9f8dfb8adef392203fdb3f7cb23801181a5691dc2bc

Observation 8ebb60ff-88ae-48aa-8150-28a46fd6b3b2 · outbound

This paper cites Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation , Url =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation , Url =

Reference 93

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source=arxiv_source observed=2026-08-01T09:41:24.418076Z digest=sha256:b4f4d5c5a82d64f7f003ea65da1e8812751029f7d86c6d9794226c8a2cb1a190

Observation ae2a7ae8-ea55-4b41-b052-a1d20cdac009 · outbound

This paper cites 2022 , eprint=.

Edit-Neighboring Data Streams and Privacy under Continual Observation 2022 , eprint=

Reference 94

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source=arxiv_source observed=2026-08-01T09:41:24.420135Z digest=sha256:bff689745b29fc42f2c97129fed01a3246dd33a21d9a406778da74feac8edee9

Observation e6886315-dccf-4af7-8f28-3cecba711743 · outbound

This paper cites Optimal Algorithms for Mean Estimation under Local Differential Privacy , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Optimal Algorithms for Mean Estimation under Local Differential Privacy , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.422539Z digest=sha256:79caae63fe5e168d824bc88cc5ebeb7b2914a176782376d49bc6d2ee358b7fe1

Observation 01995989-d05c-46d4-8ecf-1872c6738ee7 · outbound

This paper cites Human behavior and the principle of least effort: An introduction to human ecology , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Human behavior and the principle of least effort: An introduction to human ecology , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.424727Z digest=sha256:a413618a26e55736c84b3c8ba68a50109aa2dfbd05b07f4b2b81754bef7808b8

Observation d20b4157-4841-4a09-b9c9-317e24df9bd6 · outbound

This paper cites Maintaining time-decaying stream aggregates , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Maintaining time-decaying stream aggregates , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.427184Z digest=sha256:7c8648647b5a034c777bc2afd01449cf64c1b56cd8842c4cab737e3658236537

Observation 8ca0b566-419b-4dae-b5c2-71d90fc5bb46 · outbound

This paper cites Du calcul des d.

Edit-Neighboring Data Streams and Privacy under Continual Observation Du calcul des d

Reference 98

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source=arxiv_source observed=2026-08-01T09:41:24.429563Z digest=sha256:45285b260706f819cbbc8e5ce2b739a545dbe1b0874f47a20762a34ba59880a4

Observation b68066e7-edde-4292-8c30-ff9b2050c397 · outbound

This paper cites Collecting telemetry data privately , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Collecting telemetry data privately , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.431863Z digest=sha256:da6de605902b4a7d5781c9d6f85cbf7b32dc9e339c480240ed35a189e6837140

Observation 7deb8277-c80b-438c-ba81-cabb9263fd04 · outbound

This paper cites Analyze gauss: optimal bounds for privacy-preserving principal component analysis , Year =.

Edit-Neighboring Data Streams and Privacy under Continual Observation Analyze gauss: optimal bounds for privacy-preserving principal component analysis , Year =

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source=arxiv_source observed=2026-08-01T09:41:24.434367Z digest=sha256:3d15233c64102a47e3974a2e16f29718c230a7a6cd22adc4ffd6f028d8039767

Observation fcd6b6a1-5278-4c37-b7f7-9b52324e4ca7 · outbound

This paper cites The spread of behavior in an online social network experiment , Volume =.

Edit-Neighboring Data Streams and Privacy under Continual Observation The spread of behavior in an online social network experiment , Volume =

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source=arxiv_source observed=2026-08-01T09:41:24.436592Z digest=sha256:17a6ba9725182bbf3a8da78cfcf7e2de7e4c713cffbdc524eff016d07adff029

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