{"as_of":"2026-08-16T08:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83f317f827c31e191ec4d2b19fc5b89bccf0072a17482347f961424d0dbaaa3a","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T18:28:27.042099Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-11T18:28:28.671613Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2207.03384","last_updated":"2024-11-04T16:32:54Z","snapshot_observed_at":"2026-08-13T15:08:49.817306Z","submitted_at":"2022-07-07T15:49:24Z","title":"Efficient Pruning for Machine Learning Under Homomorphic Encryption","version":2},"cited_work":{"arxiv_id":"2207.03384","doi":null,"metadata_source":"pith","pith_arxiv_id":"2207.03384","snapshot_observed_at":"2026-08-11T18:28:28.671613Z","title":"Efficient Pruning for Machine Learning Under Homomorphic Encryption","venue":"cs.CR","work_id":"a9afdc1b-cf00-49bb-86d0-331df7d992a7","year":2022},"citing_paper":{"arxiv_id":"2412.07954","last_updated":"2024-12-10T22:44:54Z","snapshot_observed_at":"2026-08-15T13:32:28.426822Z","submitted_at":"2024-12-10T22:44:54Z","title":"MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T18:28:27.042099Z"},"links":{"cited_paper":"/paper/2207.03384","citing_paper":"/paper/2412.07954"},"observation_digest":"sha256:3d9e7eb30e32440c78a8c538917b3596b8cd2725e5b53e119a4810023ba3bf11","observation_id":"fba5c7dc-3e34-4ed3-8cb0-368844815ded","resolution":{"observed_at":"2026-08-11T18:28:28.677405Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2207.03384/citation-record","integrity":"/paper/2207.03384/integrity","json":"/paper/2207.03384/citation-record.json","paper":"/paper/2207.03384"},"outbound":[],"paper":{"arxiv_id":"2207.03384","last_updated":"2024-11-04T16:32:54Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-13T15:08:49.817306Z","submitted_at":"2022-07-07T15:49:24Z","title":"Efficient Pruning for Machine Learning Under Homomorphic Encryption"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2207.03384."}