{"as_of":"2026-08-09T07:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:70e80be4f34d7c1100fa3715a80ec92975650b2bb5513101d6ba4f7aec2a1c56","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T18:12:37.223579Z","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":[{"citation":{"cited_paper":{"arxiv_id":"1810.03487","last_updated":"2020-01-31T17:12:52Z","snapshot_observed_at":"2026-08-08T14:54:18.420295Z","submitted_at":"2018-10-08T14:21:46Z","title":"Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03487","snapshot_observed_at":"2026-08-05T18:12:37.223579Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.15031","last_updated":"2025-08-27T05:10:26Z","snapshot_observed_at":"2026-08-06T09:22:49.031430Z","submitted_at":"2025-08-20T19:49:59Z","title":"A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-05T18:12:37.223579Z"},"links":{"cited_paper":"/paper/1810.03487","citing_paper":"/paper/2508.15031"},"observation_digest":"sha256:aa9827224127ed75aef33b77bcbab8d0f4f26ed95971285b6084cccd4a2b77df","observation_id":"93fd23d1-ce0b-480a-bae5-7ca1736046fd","resolution":{"observed_at":"2026-08-05T18:12:37.223579Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03487","last_updated":"2020-01-31T17:12:52Z","snapshot_observed_at":"2026-08-08T14:54:18.420295Z","submitted_at":"2018-10-08T14:21:46Z","title":"Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03487","snapshot_observed_at":"2026-07-11T22:00:06.085598Z","title":"Hong and et al","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.04055","last_updated":"2026-07-04T23:45:25Z","snapshot_observed_at":"2026-07-11T22:00:05.568491Z","submitted_at":"2026-07-04T23:45:25Z","title":"Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-11T22:00:06.085598Z"},"links":{"cited_paper":"/paper/1810.03487","citing_paper":"/paper/2607.04055"},"observation_digest":"sha256:ee8897cee50abf76ae51d7cddfa1cdf2916eaf9c1e5784ab80adf56d4d2ac34d","observation_id":"30241a5a-7713-4162-834a-0e4a2249b50b","resolution":{"observed_at":"2026-07-11T22:00:06.085598Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.03487","last_updated":"2020-01-31T17:12:52Z","snapshot_observed_at":"2026-08-08T14:54:18.420295Z","submitted_at":"2018-10-08T14:21:46Z","title":"Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.03487","snapshot_observed_at":"2026-08-01T06:31:09.310951Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.21895","last_updated":"2026-07-24T01:52:18Z","snapshot_observed_at":"2026-08-07T11:05:22.470736Z","submitted_at":"2026-07-24T01:52:18Z","title":"PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-01T06:31:09.310951Z"},"links":{"cited_paper":"/paper/1810.03487","citing_paper":"/paper/2607.21895"},"observation_digest":"sha256:94b5eb8eb2793176db96a6327beae5a43304179e72ffa5e89e117047dd855d7c","observation_id":"1a5f3978-9307-42b2-9250-20c5fc02c30c","resolution":{"observed_at":"2026-08-01T06:31:09.310951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1810.03487/citation-record","integrity":"/paper/1810.03487/integrity","json":"/paper/1810.03487/citation-record.json","paper":"/paper/1810.03487"},"outbound":[],"paper":{"arxiv_id":"1810.03487","last_updated":"2020-01-31T17:12:52Z","latest_version":4,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-08T14:54:18.420295Z","submitted_at":"2018-10-08T14:21:46Z","title":"Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1810.03487."}