{"as_of":"2026-08-21T07:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f15f35b0c04f4744577bbfeea33b94e872db657b134f99d9a3f7a7bdc7a97c96","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T16:16:25.525886Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2412.10512/citation-record","integrity":"/paper/2412.10512/integrity","json":"/paper/2412.10512/citation-record.json","paper":"/paper/2412.10512"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:16:25.347657Z","title":"Private learning and sanitization: Pure vs","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.347657Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:0a9876702121e5b6336c1511de39385d46c1ae6278e5458549979df5efb0a907","observation_id":"26727ea3-15d0-4bf9-942f-95ec3035c217","resolution":{"observed_at":"2026-08-11T16:16:25.347657Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:16:26.299774Z","title":"Private estimation with public data","venue":null,"work_id":"636f845c-19f9-4115-a60d-f90ac733a9b5","year":2022},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.360026Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:383b959c71a9b15ae6dca14ab67c7ed60f45acd76edbab55ccf88b14e72b7099","observation_id":"dd9ee134-5271-48de-9d3e-ebea71d3e3a4","resolution":{"observed_at":"2026-08-11T16:16:26.312419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T16:16:25.366087Z","title":"Simultaneous private learning of multiple concepts","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.366087Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:61b40d74104f388cb1c1c66b38e7449ba5e05b7b862bd122e3c2000f6ecd921e","observation_id":"3a40cac1-2ec4-47cb-8c39-850d30382ea8","resolution":{"observed_at":"2026-08-11T16:16:25.366087Z","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":"2026-08-11T16:16:25.373187Z","title":"Differential privacy and robust statistics","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.373187Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:c3984276069be2e53252543ab6827af8c7fb4ca07f6e5372ea4dced0c2ebbcf8","observation_id":"222f915a-66a6-4eb4-99fc-741f4d87f52a","resolution":{"observed_at":"2026-08-11T16:16:25.373187Z","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":"2026-08-11T16:16:25.378959Z","title":"The algorithmic foundations of differential privacy","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.378959Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:b45acb7afc27ed71cba5f0baebcae826b51e0aa432a8a0284e6c7211f0081a61","observation_id":"29e8575c-1c4b-4640-bd26-a85888bc0776","resolution":{"observed_at":"2026-08-11T16:16:25.378959Z","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":"2026-08-11T16:16:25.399278Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.399278Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:bfa194786f90ef7713784cece4aa56f8d447c66eecbb1f9b1cf9a07533da6cba","observation_id":"a40b3d16-1809-4b73-8afe-f9efb94bac0b","resolution":{"observed_at":"2026-08-11T16:16:25.399278Z","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":"2026-08-11T16:16:25.408171Z","title":"Hiding among the clones: A simple and nearly optimal analysis of privacy amplification by shuffling","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.408171Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:a85e5f562b2c0d8067e02a1219e3e25039bd7905c11b6007cfdacaa7529c67b0","observation_id":"73e7d74e-6b64-4f3c-ab56-e2c70708f39e","resolution":{"observed_at":"2026-08-11T16:16:25.408171Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:16:26.230675Z","title":"Differentially private clustering: Tight approximation ratios","venue":null,"work_id":"bd08123d-42f6-4494-980a-697fa753dba2","year":2020},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.414039Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:85aa311908d318f7d57f91ce63092e71e93838faa6c064f65667595b6856cf6e","observation_id":"795e2ce7-fa2a-4869-92da-b6a0e264d33a","resolution":{"observed_at":"2026-08-11T16:16:26.264562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:16:26.203059Z","title":"On differentially private sampling from gaussian and product distributions","venue":null,"work_id":"d8791e06-3df3-4b12-88d9-e7a4df7a79c3","year":2023},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.427743Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:f68c3a6289ae3c8a24d63ba2af91bce38b01f7de7462e7edc5c79be47f7fc324","observation_id":"f93466a5-e6a9-468f-8a88-3203c7490418","resolution":{"observed_at":"2026-08-11T16:16:26.210890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:16:26.169022Z","title":null,"venue":null,"work_id":"fbb34a58-c48d-44e1-b7eb-44c04912765f","year":2019},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.437311Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:3f45953f1a51cf2c7dac1c59c61f13b1f0c5fde7b56a9bf7fd9466e5fbdd4460","observation_id":"4e46b7a2-e6fd-442e-82ea-01d13a06d130","resolution":{"observed_at":"2026-08-11T16:16:26.179172Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:16:26.140610Z","title":null,"venue":null,"work_id":"f1ea06cc-561c-431e-bb89-4c5c632a9ebd","year":2020},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.461444Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:f6474445e75aaf4d8d82bd084da5c2795935d4db3f667e90be9126ddcc5478db","observation_id":"efb191c0-0816-4837-a360-43f958e77502","resolution":{"observed_at":"2026-08-11T16:16:26.153488Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T16:16:25.487225Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.487225Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:a5e605c3202085f079305cb176e988d61233e81ce3c37019f74587aac900025e","observation_id":"93881c03-0515-45ce-b256-7db1b6435d1e","resolution":{"observed_at":"2026-08-11T16:16:25.487225Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10368","last_updated":"2024-10-02T12:00:26Z","snapshot_observed_at":"2026-08-20T08:52:20.911593Z","submitted_at":"2024-09-16T15:13:05Z","title":"On the tensorization of the variational distance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.10368","snapshot_observed_at":"2026-08-11T16:16:25.503661Z","title":"On the tensorization of the variational distance, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.503661Z"},"links":{"cited_paper":"/paper/2409.10368","citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:2a8c857441acbe99195c167cb52cd7ebdd439b880fb0f216cb109962aae02aaa","observation_id":"0fccc433-fd02-48c3-aba2-e2874a83f867","resolution":{"observed_at":"2026-08-11T16:16:25.503661Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T16:16:26.115029Z","title":"Smith, and Marika Swanberg","venue":null,"work_id":"7af3907f-85eb-4503-8286-c884ad84b48d","year":2021},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.514293Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:2517d6bc0079b36f8a64c400b7b00b1b143d8beabc7959fb4945c23e7f01209b","observation_id":"2202080d-5891-4f79-b8d7-99088a56e77c","resolution":{"observed_at":"2026-08-11T16:16:26.123849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-11T16:16:25.525886Z","title":"Randomized response: A survey technique for eliminating evasive answer bias","venue":null,"work_id":null,"year":1965},"citing_paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-11T16:16:25.525886Z"},"links":{"citing_paper":"/paper/2412.10512"},"observation_digest":"sha256:451ddc84a05c0b4b6caeaf29e6f98a61d7bd99b91c2b50d0a2a8bdd7e029ad02","observation_id":"99a436de-e7bb-47aa-8bd3-0cec23c50c36","resolution":{"observed_at":"2026-08-11T16:16:25.525886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.10512","last_updated":"2024-12-13T19:14:05Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-20T08:52:38.732202Z","submitted_at":"2024-12-13T19:14:05Z","title":"Differentially Private Multi-Sampling from Distributions"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":15},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2412.10512."}