{"as_of":"2026-08-09T19:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7bb97cd41f9406d67f31ede79882b178bf3780dab9f22dea47858fadc0158aee","coverage":[{"denominator":153,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T09:41:24.436592Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.20727/citation-record","integrity":"/paper/2607.20727/integrity","json":"/paper/2607.20727/citation-record.json","paper":"/paper/2607.20727"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2209.01387","last_updated":"2023-10-17T04:11:50Z","snapshot_observed_at":"2026-08-07T20:33:13.423741Z","submitted_at":"2022-09-03T09:56:00Z","title":"Differential Privacy on Dynamic Data","version":3},"cited_work":{"arxiv_id":"2209.01387","doi":"10.48550/arxiv.2209.01387","metadata_source":"pith","pith_arxiv_id":"2209.01387","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Differential Privacy on Dynamic Data","venue":"cs.CR","work_id":"1e4cb541-a547-4051-8a33-f3373e8eba0e","year":2022},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:22.971674Z"},"links":{"cited_paper":"/paper/2209.01387","citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:14561a8da6ee74aec799741a0456c52969a2ec4f6499877a8d62a3cf32bc4299","observation_id":"f9ec33d1-6f6a-4262-8edd-cd1bc01ab8fc","resolution":{"observed_at":"2026-08-01T09:43:29.989752Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:22.976930Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:22.976930Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:7af4bf7bd873107950e5d3a41d1a20dfa1948765ea463f96824e4b41a5afc27d","observation_id":"1fec2159-671f-4ee4-bde1-f5a666bb5d41","resolution":{"observed_at":"2026-08-01T09:41:22.976930Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:22.983197Z","title":"Privacy loss in","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:22.983197Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:483b403276c1df5278d5b045d3ba60ef8f51e0d5e59f79362448543f99e06ff3","observation_id":"6c8a8f18-ed77-491b-8c6e-309af8358548","resolution":{"observed_at":"2026-08-01T09:41:22.983197Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.11341","last_updated":"2025-03-10T12:40:22Z","snapshot_observed_at":"2026-08-07T16:29:47.411062Z","submitted_at":"2023-02-22T12:38:02Z","title":"Differentially Private Continual Release of Histograms and Related Queries","version":2},"cited_work":{"arxiv_id":"2302.11341","doi":"10.48550/arxiv.2302.11341","metadata_source":"pith","pith_arxiv_id":"2302.11341","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Differentially Private Continual Release of Histograms and Related Queries","venue":"cs.DS","work_id":"5acfde34-2819-4353-b984-358a8f0ee74c","year":2023},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:22.990737Z"},"links":{"cited_paper":"/paper/2302.11341","citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:c3c574855503f93a7d6676cac51df8aa2c12ff9c940b644ac96707ab909c884c","observation_id":"a06d7a5f-9cf2-4502-8fd1-3e3318c30e29","resolution":{"observed_at":"2026-08-01T09:43:29.812209Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06266","last_updated":"2025-03-20T21:59:19Z","snapshot_observed_at":"2026-07-06T19:29:55.838200Z","submitted_at":"2024-10-08T18:05:56Z","title":"Near Exact Privacy Amplification for Matrix Mechanisms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06266","snapshot_observed_at":"2026-08-01T09:41:22.998168Z","title":"arXiv preprint arXiv:2410.06266 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:22.998168Z"},"links":{"cited_paper":"/paper/2410.06266","citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:6c727de4f04d1cb46d7f35d71407b7e25c25676a6f1a8b83c553b0667f2a2e0c","observation_id":"867637fc-9ba9-4099-98b0-50d7dd3bfca0","resolution":{"observed_at":"2026-08-01T09:41:22.998168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07614","last_updated":"2024-08-14T15:28:28Z","snapshot_observed_at":"2026-08-06T08:24:05.922743Z","submitted_at":"2024-08-14T15:28:28Z","title":"Practical Considerations for Differential Privacy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07614","snapshot_observed_at":"2026-08-01T09:41:23.022344Z","title":"arXiv preprint arXiv:2408.07614 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.022344Z"},"links":{"cited_paper":"/paper/2408.07614","citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:0ade7f201d81cd94f90734176f8202c55d3aad23b4a378458bbe0fd72780991b","observation_id":"2612bcbc-2703-468f-8e25-96e58a47d0ee","resolution":{"observed_at":"2026-08-01T09:41:23.022344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.4230/lipics.forc.2025.10","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Count on Your Elders: Laplace vs Gaussian Noise , booktitle =","venue":"arXiv (Cornell University)","work_id":"59079e36-863b-453d-8ff0-1cc542607ebc","year":2025},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.027233Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:deab0949807c710b5eaf3c1111d709c6cb60da55a1734c22a0e0868eb495efc2","observation_id":"2282948b-acc0-4e87-b372-f245ac1d0baf","resolution":{"observed_at":"2026-08-01T09:43:29.646906Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3801902","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2026 , issue_date =","venue":"Proceedings of the ACM on Management of Data","work_id":"92f29d11-a4fc-4eb1-af72-ff0e42bbeb09","year":2026},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.031674Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:1e14a8b296360f688110bfbbc7265f553ef036b3154e01665b0833a55bce402b","observation_id":"d4c6a83f-af1d-4283-8926-d6acda0a1ac6","resolution":{"observed_at":"2026-08-01T09:43:29.482805Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.036608Z","title":"Brendan McMahan and Krishna Pillutla and Thomas Steinke and Abhradeep Thakurta , Booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.036608Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:2aa849000702ee68cb6c8a0b30308bdd9b9f0fc29e8ee218bbd98185844fa6f6","observation_id":"f35fd93c-6140-41c1-9ebc-29fcf389853d","resolution":{"observed_at":"2026-08-01T09:41:23.036608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.043031Z","title":"Google AI Blog , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.043031Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:bedc0bebf98c4a29ae28954785ba7f9a9c5cfa53bf535d221980639061727cc2","observation_id":"6d525f5b-3509-4cd8-9d26-a4bc836f6c42","resolution":{"observed_at":"2026-08-01T09:41:23.043031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.047352Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.047352Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:11a5ea4d6fbe81870d5df1088e2f62326f6b01694d30826a0e27195a914b5be9","observation_id":"045fe57f-f748-4f8c-acc9-19950a238c70","resolution":{"observed_at":"2026-08-01T09:41:23.047352Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.063387Z","title":"2019 , publisher=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.063387Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:fa32136ba1e346f9946ac36bcb453e5aeffe6860410f45813c62b49d06fc5f56","observation_id":"e46f43b9-770f-4c03-9be1-c575337a350c","resolution":{"observed_at":"2026-08-01T09:41:23.063387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.067844Z","title":"Is interaction necessary for distributed private learning? , Year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.067844Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:50614172da8faa544986b7fc66c468f539123d2a46d1e6ff811828428dc5447a","observation_id":"de9ec909-5dce-4f7b-82bc-2f5ea350d2cd","resolution":{"observed_at":"2026-08-01T09:41:23.067844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.087759Z","title":"Proceedings of the 16th International Conference on Database Theory , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.087759Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:9e8e3c7bdbc7f87d407415bd83970bf96acf4e55ef05b0dd24648e96ccd4eba4","observation_id":"c1d1282e-380b-4c09-821d-43e205ccc288","resolution":{"observed_at":"2026-08-01T09:41:23.087759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.092092Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.092092Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:f824954c783b34e7bb580524c9281ca30a490b5002adc6cb1383d355703be34b","observation_id":"037c9ea3-5f26-43de-bcac-9216f66600dc","resolution":{"observed_at":"2026-08-01T09:41:23.092092Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.01864","last_updated":"2024-09-17T05:19:09Z","snapshot_observed_at":"2026-08-06T08:21:20.945635Z","submitted_at":"2022-10-04T19:21:00Z","title":"Recycling Scraps: Improving Private Learning by Leveraging Intermediate Checkpoints","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.01864","snapshot_observed_at":"2026-08-01T09:41:23.097134Z","title":"arXiv preprint arXiv:2210.01864 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.097134Z"},"links":{"cited_paper":"/paper/2210.01864","citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:37265ab54afcf72bc2bc8495d04d81d39787a7a4fbcc3e7d089be97d0881c6ac","observation_id":"d8ed520c-3c09-4491-8aec-27ed16a62bc7","resolution":{"observed_at":"2026-08-01T09:41:23.097134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.104025Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.104025Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:5724b5af6228e2d91d7444b38d7ccbadb56e288b2b60f35da28ca40005741c83","observation_id":"1a15e5ad-cc6e-471d-b2e2-a3c52b82206d","resolution":{"observed_at":"2026-08-01T09:41:23.104025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.10428","last_updated":"2023-06-17T21:30:21Z","snapshot_observed_at":"2026-08-06T05:55:21.436180Z","submitted_at":"2023-06-17T21:30:21Z","title":"Differentially Private Histogram, Predecessor, and Set Cardinality under Continual Observation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.10428","snapshot_observed_at":"2026-08-01T09:41:23.110313Z","title":"arXiv preprint arXiv:2306.10428 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.110313Z"},"links":{"cited_paper":"/paper/2306.10428","citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:4d234f8647e83904ef69e70f4115bb27c8645300512b8175b06e812fed20b60b","observation_id":"f5c052e0-baaa-43f6-9a71-9cdaebd700c5","resolution":{"observed_at":"2026-08-01T09:41:23.110313Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.116849Z","title":"14th Innovations in Theoretical Computer Science Conference (ITCS 2023) , pages =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.116849Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:6a40fc34cc25a42bc5374e39c026cf2cc25ca5a188fc7edc8941cdc30ba18cb9","observation_id":"a3a35e2b-d281-4c0c-be11-65495f318bbe","resolution":{"observed_at":"2026-08-01T09:41:23.116849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.122917Z","title":"and McMahan, H","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.122917Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:79a31d5d3dbe775e2994c24837a1ed19d84c12fa136f98599b0c90c095e15027","observation_id":"ba33f101-a161-4ed3-8fb4-bea12f36e146","resolution":{"observed_at":"2026-08-01T09:41:23.122917Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.129859Z","title":"Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.129859Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:e1fd2a6a8a584c6f51cd38c508b50ccdfdd0a847d6ec48a3c3fb77eded859812","observation_id":"bae95e8e-7fee-44cb-975e-7a4653a88468","resolution":{"observed_at":"2026-08-01T09:41:23.129859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.134214Z","title":"Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , year=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.134214Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:5611d94fbed7b6c52d9ec63e604dc8400e5827226c3fbbbff8a2f0429d1e3e10","observation_id":"80553689-1a66-45be-b700-8a4677ecb653","resolution":{"observed_at":"2026-08-01T09:41:23.134214Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.139881Z","title":"Theory and Practice of Differential Privacy (TPDP 2015), London, UK , volume=","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.139881Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:fc234f25e4d3ee2c39fd3aa25836575979983d2fb219e979723fc143c6a5d6c9","observation_id":"1f1a3eb9-8b97-4b07-9b9c-ddfe03570829","resolution":{"observed_at":"2026-08-01T09:41:23.139881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"0904.0942","last_updated":"2010-07-09T01:34:32Z","snapshot_observed_at":"2026-07-06T01:52:42.080432Z","submitted_at":"2009-04-06T14:58:20Z","title":"Boosting the Accuracy of Differentially-Private Histograms Through Consistency","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"0904.0942","snapshot_observed_at":"2026-08-01T09:41:23.144117Z","title":"arXiv preprint arXiv:0904.0942 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.144117Z"},"links":{"cited_paper":"/paper/0904.0942","citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:d8e4d14b6e87f9ee349a0f9b08611b4b10c3d50b04527112c73fa97d26c03247","observation_id":"2fcbc1c3-711d-4e2c-830e-d06a4de19767","resolution":{"observed_at":"2026-08-01T09:41:23.144117Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.148562Z","title":"Making Old Things New:","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.148562Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:0f0dce86334bd9cb776c2537518c73ac09cefefb70233e02ca8090edcd9808d6","observation_id":"7f2bb851-9845-4253-a774-fcd26c0542b3","resolution":{"observed_at":"2026-08-01T09:41:23.148562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.155396Z","title":"Proceedings of SIGMOD International Conference on Management of data , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.155396Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:d4fb31468f54060404e2f11a3076196ff25cb8f7cf7524dfc7f8a0b4fe5e2c92","observation_id":"b2b4f70e-0563-4ff8-8027-e9718c157b58","resolution":{"observed_at":"2026-08-01T09:41:23.155396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.164121Z","title":"Network and Distributed Systems Security (NDSS) Symposium , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.164121Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:61e5d97d3895c6130835b7c97aff276f26ac6d099099a1f913bd1075a87c8ddd","observation_id":"09f1236d-1801-448e-bf87-4aa46d8acf89","resolution":{"observed_at":"2026-08-01T09:41:23.164121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.173583Z","title":"International Conference on Learning Representation , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.173583Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:23764136bd43fd3e3869afc1328506e8bdedf6fc1caffce391f6b30d044cbca2","observation_id":"6320df9a-d7f0-44b1-a3de-25a2eb27a3f1","resolution":{"observed_at":"2026-08-01T09:41:23.173583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.178296Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.178296Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:f930f7b95ce2b2287054ff7a34385fd322b0e340b552c46b5b6b6de9a8e73cf6","observation_id":"b5b63b56-b52b-475f-aa82-b3116997996e","resolution":{"observed_at":"2026-08-01T09:41:23.178296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.183694Z","title":"Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security , pages=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.183694Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:b478e77cabee996f168b1e430530d7596d550740d8ec0bd628aa1eddade8d011","observation_id":"f3038c6d-d2dd-441c-a359-8f297231586e","resolution":{"observed_at":"2026-08-01T09:41:23.183694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.189804Z","title":"Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.189804Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:9ea91e5acd9c6678330d697721f3963f7bc604f4de60b8decbaa4353d751b60f","observation_id":"7b8bb62e-9bd2-41fe-97f8-c78a0d74b2ef","resolution":{"observed_at":"2026-08-01T09:41:23.189804Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.193612Z","title":"Frequency estimation under multiparty differential privacy: One-shot and streaming , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.193612Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:d8e366c114d017941e91bb4a7ffaedd1d997b2cf92e1cc318ac6765dfd2bff11","observation_id":"bbdf68f4-8378-4f1a-b6b5-555172742c26","resolution":{"observed_at":"2026-08-01T09:41:23.193612Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.198827Z","title":"Efficient algorithms for privately releasing marginals via convex relaxations , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.198827Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:866e7c4e6b7f9192f42677ce56e41d59f5cfc0a019053e015ff23bce6ea86f6d","observation_id":"51cd78a4-7cd2-49d3-80b5-1c29df00a7b1","resolution":{"observed_at":"2026-08-01T09:41:23.198827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.220554Z","title":"Factorization norms and hereditary discrepancy , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.220554Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:e9baa37f4e69b65ab969b538f9a7ceff8a488106d0dc5b575774a577a379005f","observation_id":"b969efa1-dc5f-4e2a-925b-c51230717e7a","resolution":{"observed_at":"2026-08-01T09:41:23.220554Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.257358Z","title":"Sublinear Space Private Algorithms Under the Sliding Window Model , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.257358Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:49a081ec768f724d04aa8fe81a44bed3204bdb3ebf6e25c4b2faef89abad7cf6","observation_id":"63649724-f643-4a31-b04e-460be3529e0d","resolution":{"observed_at":"2026-08-01T09:41:23.257358Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.270868Z","title":"Convex Optimization , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.270868Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:89ab61471ef2d2c7ef8c01307fdc7399ff3f538cec55d0cd496a1a513ee63dbe","observation_id":"4a7af009-7941-4d9a-9bef-fdc7d8590d1c","resolution":{"observed_at":"2026-08-01T09:41:23.270868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.279873Z","title":"Differentially private continual monitoring of heavy hitters from distributed streams , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.279873Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:8289c043efa376b892f424f4925f64fbdcdd13430871d7541108155a2a4700ea","observation_id":"19cf6482-8501-4543-b422-83d0712ab6aa","resolution":{"observed_at":"2026-08-01T09:41:23.279873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.287333Z","title":"The algorithmic foundations of differential privacy , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.287333Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:390e6c53d9c738c3727f2d7febf78973843bf92e2d28317639075c3a407d9dff","observation_id":"65ed35c8-08c0-414d-8082-b42b34f75494","resolution":{"observed_at":"2026-08-01T09:41:23.287333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.318362Z","title":"Differentially Private Continual Release of Graph Statistics , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.318362Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:cc607e70a4b94692658bca015f8397b8511a21dcdf4558bae9df1f4ae469c4b9","observation_id":"be4d24a5-b7f0-4cdb-8c66-69aaa52461e4","resolution":{"observed_at":"2026-08-01T09:41:23.318362Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.320321Z","title":"TCC , Date-Added =","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.320321Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:f980cea2b66cd8313de34f1f319c28fa574a9f4ec8528580eab612ce4506d578","observation_id":"83daea5f-5647-413e-8f7a-af3daf52058e","resolution":{"observed_at":"2026-08-01T09:41:23.320321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.322329Z","title":"Differentially private histograms under continual observation: Streaming selection into the unknown , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.322329Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:7b42fb1205c699d504b6eda531286c65b0c9b3450a245715629a4b6b77693311","observation_id":"01fb167b-6423-45a0-b1cc-286661b59015","resolution":{"observed_at":"2026-08-01T09:41:23.322329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.347385Z","title":"Differentially Private Algorithms for Graphs Under Continual Observation , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.347385Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:0b8ca58f19fa14217db638c498faaff274023ac9b32cf3badfdd85322b9595ed","observation_id":"1504c36a-d29c-4400-ae08-422f7bec0204","resolution":{"observed_at":"2026-08-01T09:41:23.347385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.400992Z","title":"Differentially Private Analysis on Graph Streams , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.400992Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:cc88fb5da1d2ea2a6cec495f02fa1f5df52dabd83048db9a954d2114d9737d83","observation_id":"b8d27f17-a73c-4075-bae1-76281f235a78","resolution":{"observed_at":"2026-08-01T09:41:23.400992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.481206Z","title":"A Framework for Private Matrix Analysis in Sliding Window Model , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.481206Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:b24e79a728b49040eab80d9b322ab9c86507875c1f37d161e4db3a6625007bb9","observation_id":"4711a658-2372-40cf-8f57-896a8d1ba422","resolution":{"observed_at":"2026-08-01T09:41:23.481206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.531452Z","title":"The Price of Privacy for Low-rank Factorization , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.531452Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:769fd7a45349fd58329f078b1b50006aeb5ca5d1d70afa19e5aa77b27034ec39","observation_id":"dd71138e-fcb8-4888-8d6a-f10ef7bcd27a","resolution":{"observed_at":"2026-08-01T09:41:23.531452Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.584145Z","title":"Private and Continual Release of Statistics , Url =","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.584145Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:c9cf59362390484fda2f6d750836b2d486521a512fb3c2c1db2a2c4d5343de2a","observation_id":"259824ff-0298-4ad5-b1a2-d05032a032a0","resolution":{"observed_at":"2026-08-01T09:41:23.584145Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1137/s0097539701398363","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Maintaining Stream Statistics over Sliding Windows , Url =","venue":"SIAM Journal on Computing","work_id":"613adad3-e4b8-4e45-97ea-74a5ba89ca86","year":2002},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.651475Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:c5aeb847d628dbe99a6b8314f2a55d2eed87b3c6df822c328d82c67b558d4e05","observation_id":"4a5ac443-c288-4e78-8265-a7de5dcbc239","resolution":{"observed_at":"2026-08-01T09:43:29.340984Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.741596Z","title":"Near optimal linear algebra in the online and sliding window models , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.741596Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:582ba66df4ab14a9edb342f985b6ea9ed75b6a67b9904d289446e2c323ecd300","observation_id":"f03df6c0-1940-478c-ae21-3292c827a7df","resolution":{"observed_at":"2026-08-01T09:41:23.741596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.757348Z","title":"Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.757348Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:835d0f84b4425cd7bbdcb7e85b11884cbf92087653d2c0c50893c4eed48e5c13","observation_id":"9d8d7cd1-b943-4735-8a05-d5146a857324","resolution":{"observed_at":"2026-08-01T09:41:23.757348Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.869689Z","title":"Introduction to the non-asymptotic analysis of random matrices , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.869689Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:d6be2f0007f28c8f6ba64e099b9c574d8b8a37a95074745f2c2beb8d150ff267","observation_id":"1ab48199-ffc3-4cd0-aa74-caf73e56682f","resolution":{"observed_at":"2026-08-01T09:41:23.869689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:23.973567Z","title":"Our data, ourselves: Privacy via distributed noise generation , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:23.973567Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:ba06dbba19e402982c0e3bfd6e3ec95fcb9eaececd996bb4952d66b50d46ef5b","observation_id":"e2fe5198-627f-4f3e-9c23-71fa05b4b88c","resolution":{"observed_at":"2026-08-01T09:41:23.973567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.093230Z","title":"Frequency estimation over sliding windows , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.093230Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:732c21102eee2d108bc5688c60051b69644a430399409bf3872036e9a0e9d097","observation_id":"b00bb498-c56a-484a-8dda-2c24d3f576c0","resolution":{"observed_at":"2026-08-01T09:41:24.093230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.251403Z","title":"Finding heavy hitters over the sliding window of a weighted data stream , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.251403Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:88b95639cc7462873b99dcc435ca61b717064d4a42225bd6c6cce792c93aef36","observation_id":"0f33f8eb-fdf1-4fa1-940e-d706b07a92b8","resolution":{"observed_at":"2026-08-01T09:41:24.251403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.259301Z","title":"Continuous monitoring of distributed data streams over a time-based sliding window , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.259301Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:3820fc1194529c1f1a91910e50f34fef6afa35a3cd37cb7e2e6e909574be946a","observation_id":"9835e947-2d0b-4151-8071-1e77a89856c6","resolution":{"observed_at":"2026-08-01T09:41:24.259301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.269553Z","title":"Optimal sampling from sliding windows , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.269553Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:dcf996d9d253e3cff525c17bb37778b3449fa8cbe806d6c872e951ace5dafd73","observation_id":"0ca606d8-56c4-48d5-9fed-71b11e0032be","resolution":{"observed_at":"2026-08-01T09:41:24.269553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.322717Z","title":"How to catch l2-heavy-hitters on sliding windows , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.322717Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:f2e51a9e713b00cbfe119c225faded589d54ccb4331901307c22e6fc3449e25c","observation_id":"0b613298-9df4-4e3a-acb9-d8d7ef31ee0a","resolution":{"observed_at":"2026-08-01T09:41:24.322717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.342393Z","title":"Sampling from a moving window over streaming data , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.342393Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:65290b11dedebbc4d37f7bead4906b8b000d5ffe26e5ee750943a45297f99feb","observation_id":"be5ebd3d-05c9-405b-adf8-c08c850e5600","resolution":{"observed_at":"2026-08-01T09:41:24.342393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.344409Z","title":"Approximate counts and quantiles over sliding windows , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.344409Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:3dd2d90aa4b12af4f106c5a22180e3768a209e5f413679b99b7f7c53ee57ee75","observation_id":"e82feabe-d32d-47b3-9429-55f413f0d0f4","resolution":{"observed_at":"2026-08-01T09:41:24.344409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.346953Z","title":"Muthukrishnan , Journal =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.346953Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:fa7935cfdcc5ce2f4f7a003adb1e79acc753fca18bd626a88e79d6b9dc735da0","observation_id":"0ad6c6f1-71ee-4de4-be20-8a02f674a5ac","resolution":{"observed_at":"2026-08-01T09:41:24.346953Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.348901Z","title":"Garofalakis , Booktitle =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.348901Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:b7c8366118f01b81da9d2e02a6655ea6110f15b63de999e7dabb7ea4f8860ef5","observation_id":"9fb554d1-c9d0-424c-b95f-6ca4b07629be","resolution":{"observed_at":"2026-08-01T09:41:24.348901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.350841Z","title":"Muthukrishnan , Journal =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.350841Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:ff147da9549f8640a480457fad34e3bb40080c0b8db34227492bfa0f84798c79","observation_id":"2e610200-766b-4e52-bb1d-e7056c0dd928","resolution":{"observed_at":"2026-08-01T09:41:24.350841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.353123Z","title":"Matrix completions, norms and Hadamard products , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.353123Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:2cf7f40d12f0d86310ec6be39d45f1671b6ed6f4fdf25f5f75170ccb99ba741f","observation_id":"0220eae7-5de1-47c0-8829-ec15c82aff66","resolution":{"observed_at":"2026-08-01T09:41:24.353123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.355115Z","title":"The power of factorization mechanisms in local and central differential privacy , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.355115Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:758f61448eda019cbec167bbd0054b1faf6840ea6d92304ed0298546f8c5cc5a","observation_id":"f3fefa41-69eb-4cb7-836c-e3a9d7e492bd","resolution":{"observed_at":"2026-08-01T09:41:24.355115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.357269Z","title":"Quantum circuits with mixed states , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.357269Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:70a853f38efbba1f7f4ebb28838a80d8e25829a4c5156ca0bed6c29defbd996c","observation_id":"c51bafb3-e7e4-40fb-ad4e-374ebac9e887","resolution":{"observed_at":"2026-08-01T09:41:24.357269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.359151Z","title":"Differentially private online learning , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.359151Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:cfd2478b671704726680528f229e19e872a431de9986b87d2672e3cb20787ec8","observation_id":"14d9ed6d-4975-43a2-9c68-888df027ff26","resolution":{"observed_at":"2026-08-01T09:41:24.359151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.361515Z","title":"Local privacy and statistical minimax rates , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.361515Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:d559830b7b4a7b203ef52c7f12a8a8ba95a0327e80220366d5abbd1cd135f69e","observation_id":"ba44cbbd-296b-4cce-8eba-709947faf50e","resolution":{"observed_at":"2026-08-01T09:41:24.361515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.363807Z","title":"Chordal graphs and semidefinite optimization , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.363807Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:91686b38758ba536b14045ceb7787aa1dfd561195017a95269e1c7f7d26b2e76","observation_id":"6c8a04e6-abe2-484b-9cac-b28c3af559aa","resolution":{"observed_at":"2026-08-01T09:41:24.363807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.365535Z","title":"Unconditional differentially private mechanisms for linear queries , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.365535Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:821990f6574b823ecb6351d94e6a2a7e15dc016c152868f97fa73c59fdf43b31","observation_id":"5b3be3f4-e3da-4224-887f-8276b5f2c0b7","resolution":{"observed_at":"2026-08-01T09:41:24.365535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.367891Z","title":"A data-and workload-aware algorithm for range queries under differential privacy , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.367891Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:7aab260a7f5a1fa1a0ce44d08da86a214f1acf318e6608e438f910041de87d24","observation_id":"b614a208-3efa-4fb0-9d80-5501d8d5378d","resolution":{"observed_at":"2026-08-01T09:41:24.367891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.369766Z","title":"Operator Algebras and Mathematical Physics: 24th International Workshop in Operator Theory and Its Applications, Bangalore, December 2013 , Volume =","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.369766Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:72c6b51a3456bea376c8961609e902cb6d513d039c654175138e506ab15350c5","observation_id":"a2db552d-dbfd-4ee6-b36d-6a21a2974f78","resolution":{"observed_at":"2026-08-01T09:41:24.369766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.372007Z","title":"Optimal error of query sets under the differentially-private matrix mechanism , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.372007Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:b74d00e25e187e9dfb18125b0f15e3e2e5d7d2a0b61e494ddcff60e2e90262be","observation_id":"4c6a662a-ffff-43d8-a668-a97ad473c480","resolution":{"observed_at":"2026-08-01T09:41:24.372007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.374114Z","title":"The matrix mechanism: optimizing linear counting queries under differential privacy , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.374114Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:6f14e750c6d2e4293884b05c6b63f058ff7c492959bac91c199eda6a57bd18b1","observation_id":"acfe6abc-291d-4e27-b299-b783a11885b8","resolution":{"observed_at":"2026-08-01T09:41:24.374114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.376228Z","title":"Differential privacy via wavelet transforms , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.376228Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:53a17bc69138c3dc426b835fb70cb919152dd7623bdcb08119e88bd0ca6fd269","observation_id":"e26f9434-95c4-42a1-a2ec-88d67ad2a8b1","resolution":{"observed_at":"2026-08-01T09:41:24.376228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.378356Z","title":"Contravariant densities, complete distancesand relative fidelities for quantum channels , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.378356Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:1edb51e665a7428aaefb9de0d3a7c97fbb57c579969eab4dcf35d732cf0dc6ab","observation_id":"84e6d79f-7150-4953-9af3-399549017a45","resolution":{"observed_at":"2026-08-01T09:41:24.378356Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.380534Z","title":"The Price of Differential Privacy under Continual Observation , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.380534Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:a5f7de624e2b2a9ccf1f6a5e21da49331e2ed19c67a2466d760aa4c45060306c","observation_id":"0d40b774-42e4-49dd-b004-5428a580f9ce","resolution":{"observed_at":"2026-08-01T09:41:24.380534Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.382673Z","title":"The Price of Differential Privacy under Continual Observation , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.382673Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:09bab11c9699402b3f576c18cc7447760dbb4536ff34411d2df1c6bf544255b6","observation_id":"007c5914-305a-476e-ae63-b859e59f6db6","resolution":{"observed_at":"2026-08-01T09:41:24.382673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.384863Z","title":"Differential Privacy: From Theory to Deployment,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.384863Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:214dfec0607f41070b70c5b2209a87f56c75b70de7dd8a567bb4bdd0c8b49359","observation_id":"d8f6def5-f50b-4f54-8c76-307fa217dfde","resolution":{"observed_at":"2026-08-01T09:41:24.384863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.387062Z","title":"Continuous Release of Data Streams under both Centralized and Local Differential Privacy , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.387062Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:b652cd5ad3a36fdb3d6cd44b419b7f39fefdb4eeef1393d3434aec6f77cce479","observation_id":"39e47016-90e8-41ec-8da6-7f840238ce14","resolution":{"observed_at":"2026-08-01T09:41:24.387062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.389151Z","title":"Differential privacy for growing databases , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.389151Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:da0cf722ce885affd5354bf5b467039bfd5c8fc73701f42b340dd91fa573e3f8","observation_id":"20dae921-513e-4009-a67e-b248bc9173c6","resolution":{"observed_at":"2026-08-01T09:41:24.389151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.392002Z","title":"Pure differential privacy for rectangle queries via private partitions , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.392002Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:099a77d45fbb6394f2b815aacec05225a5b19c5852fc7b269e301f1b1e3f7e5a","observation_id":"c65df188-3119-4dab-9a60-f663f8acb29a","resolution":{"observed_at":"2026-08-01T09:41:24.392002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.394086Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.394086Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:959e937c702d257470baf12b5ff432102e84016ee078025d911c42890f4263de","observation_id":"45f2fa9d-4ba4-423e-b1be-6c95c47962e8","resolution":{"observed_at":"2026-08-01T09:41:24.394086Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.396131Z","title":"The Hadamard operator norm of a circulant and applications , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.396131Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:63aeddcd98c083c8ccb7fca87e9746924770be542eefd40ba01e8bcd9ab19d68","observation_id":"6c8e241f-ca73-4105-b003-136d10e868f9","resolution":{"observed_at":"2026-08-01T09:41:24.396131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.398232Z","title":"The continuous distributed monitoring model , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.398232Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:999ce229e78769c37815c82d80e4330c38f2dcb3ea1625da20437af5b2cf4186","observation_id":"7eadee7a-fb44-42d5-9e89-917b32791217","resolution":{"observed_at":"2026-08-01T09:41:24.398232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.400359Z","title":"Submodular Optimization Over Sliding Windows , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.400359Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:fae25701d8d94790f515c38fd5583e6626bc59742fef486cc7680d88a4cffe98","observation_id":"f46fc296-2529-467a-9def-c9d59caf2fae","resolution":{"observed_at":"2026-08-01T09:41:24.400359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.402468Z","title":"The Sliding-Window Computation Model and Results , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.402468Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:43cf40131a70eff82b503fcd5be8b7b266855b0382f0c5efaee30917c45100a5","observation_id":"6df77138-64b0-4aeb-8a25-ec05281296bc","resolution":{"observed_at":"2026-08-01T09:41:24.402468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.404692Z","title":"Maintaining Stream Statistics over Sliding Windows , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.404692Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:747b1a44460c286b52e9101f88afde713f232548a1bcaf758dae162ad9b49059","observation_id":"1caeffae-54cf-4f4c-be63-c387c16b86ce","resolution":{"observed_at":"2026-08-01T09:41:24.404692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.406951Z","title":"Gaussian fields , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.406951Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:9b860e80f612d33732a21b60deb331875474c3537d59af3902a974fae030589c","observation_id":"b5180be0-0fdb-4f76-bd4e-1321ea6477d2","resolution":{"observed_at":"2026-08-01T09:41:24.406951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.409170Z","title":"Private Online Prediction from Experts: Separations and Faster Rates , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.409170Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:baf3f1cff265117279873d7676fe067457fa9ff3329632fb1e518143847418c5","observation_id":"c0876bce-7bdb-4a45-8059-07442b80407e","resolution":{"observed_at":"2026-08-01T09:41:24.409170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.411252Z","title":"Private stochastic convex optimization: Optimal rates in l1 geometry , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.411252Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:9aff389df0b6a458c3fcad8fb8a249e3c27f31a64d59dab160299b33a725ee11","observation_id":"473c0108-2de8-4a34-a24d-0f8b7dedcfbb","resolution":{"observed_at":"2026-08-01T09:41:24.411252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.413479Z","title":"Soviet Physics Doklady , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.413479Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:76876cba11243077fbe97530d9b13f9e4898de9e825c35cf3bf14eb5a6e35d36","observation_id":"4cd60327-99b3-4661-9a0e-9dc09ad3e4f3","resolution":{"observed_at":"2026-08-01T09:41:24.413479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.415829Z","title":", author=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.415829Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:3aada433b2d44b054369b9f8dfb8adef392203fdb3f7cb23801181a5691dc2bc","observation_id":"d62941de-7eba-4587-8a22-bc30b2669393","resolution":{"observed_at":"2026-08-01T09:41:24.415829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.418076Z","title":"Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation , Url =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.418076Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:b4f4d5c5a82d64f7f003ea65da1e8812751029f7d86c6d9794226c8a2cb1a190","observation_id":"8ebb60ff-88ae-48aa-8150-28a46fd6b3b2","resolution":{"observed_at":"2026-08-01T09:41:24.418076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.420135Z","title":"2022 , eprint=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.420135Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:bff689745b29fc42f2c97129fed01a3246dd33a21d9a406778da74feac8edee9","observation_id":"ae2a7ae8-ea55-4b41-b052-a1d20cdac009","resolution":{"observed_at":"2026-08-01T09:41:24.420135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.422539Z","title":"Optimal Algorithms for Mean Estimation under Local Differential Privacy , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.422539Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:79caae63fe5e168d824bc88cc5ebeb7b2914a176782376d49bc6d2ee358b7fe1","observation_id":"e6886315-dccf-4af7-8f28-3cecba711743","resolution":{"observed_at":"2026-08-01T09:41:24.422539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.424727Z","title":"Human behavior and the principle of least effort: An introduction to human ecology , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.424727Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:a413618a26e55736c84b3c8ba68a50109aa2dfbd05b07f4b2b81754bef7808b8","observation_id":"01995989-d05c-46d4-8ecf-1872c6738ee7","resolution":{"observed_at":"2026-08-01T09:41:24.424727Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.427184Z","title":"Maintaining time-decaying stream aggregates , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.427184Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:7c8648647b5a034c777bc2afd01449cf64c1b56cd8842c4cab737e3658236537","observation_id":"d20b4157-4841-4a09-b9c9-317e24df9bd6","resolution":{"observed_at":"2026-08-01T09:41:24.427184Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.429563Z","title":"Du calcul des d","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.429563Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:45285b260706f819cbbc8e5ce2b739a545dbe1b0874f47a20762a34ba59880a4","observation_id":"8ca0b566-419b-4dae-b5c2-71d90fc5bb46","resolution":{"observed_at":"2026-08-01T09:41:24.429563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.431863Z","title":"Collecting telemetry data privately , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.431863Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:da6de605902b4a7d5781c9d6f85cbf7b32dc9e339c480240ed35a189e6837140","observation_id":"b68066e7-edde-4292-8c30-ff9b2050c397","resolution":{"observed_at":"2026-08-01T09:41:24.431863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.434367Z","title":"Analyze gauss: optimal bounds for privacy-preserving principal component analysis , Year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.434367Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:3d15233c64102a47e3974a2e16f29718c230a7a6cd22adc4ffd6f028d8039767","observation_id":"7deb8277-c80b-438c-ba81-cabb9263fd04","resolution":{"observed_at":"2026-08-01T09:41:24.434367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T09:41:24.436592Z","title":"The spread of behavior in an online social network experiment , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-08-01T09:41:24.436592Z"},"links":{"citing_paper":"/paper/2607.20727"},"observation_digest":"sha256:17a6ba9725182bbf3a8da78cfcf7e2de7e4c713cffbdc524eff016d07adff029","observation_id":"fcd6b6a1-5278-4c37-b7f7-9b52324e4ca7","resolution":{"observed_at":"2026-08-01T09:41:24.436592Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.20727","last_updated":"2026-07-22T20:54:44Z","latest_version":1,"primary_category":"cs.DS","snapshot_observed_at":"2026-08-07T16:29:18.849035Z","submitted_at":"2026-07-22T20:54:44Z","title":"Edit-Neighboring Data Streams and Privacy under Continual Observation"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":95,"verified_exact":5,"verified_fuzzy":0},"total_outbound_references":153},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"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."}