{"as_of":"2026-08-10T03:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5700b4b76a0082890f02fd8b04dafc834dd9c7c62ec3070b197a3703eedd8680","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":"2026-08-09T06:31:02.800959+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":"2026-08-01T06:31:08.970517Z","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":"2303.00566","last_updated":"2023-11-30T15:39:30Z","snapshot_observed_at":"2026-08-06T09:31:44.328315Z","submitted_at":"2023-03-01T15:12:55Z","title":"Structured Pruning for Deep Convolutional Neural Networks: A survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.00566","snapshot_observed_at":"2026-08-01T06:31:08.970517Z","title":null,"venue":null,"work_id":null,"year":2023},"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":35,"source":"pdf_text","source_observed_at":"2026-08-01T06:31:08.970517Z"},"links":{"cited_paper":"/paper/2303.00566","citing_paper":"/paper/2607.21895"},"observation_digest":"sha256:f1dbff15e9df7fcedf3230c6574062e5a768db5e92ba24d269fe7056968070d6","observation_id":"0202f4fc-a606-4750-9a99-9426289e667f","resolution":{"observed_at":"2026-08-01T06:31:08.970517Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2303.00566/citation-record","integrity":"/paper/2303.00566/integrity","json":"/paper/2303.00566/citation-record.json","paper":"/paper/2303.00566"},"outbound":[],"paper":{"arxiv_id":"2303.00566","last_updated":"2023-11-30T15:39:30Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T09:31:44.328315Z","submitted_at":"2023-03-01T15:12:55Z","title":"Structured Pruning for Deep Convolutional Neural Networks: A survey"},"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 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2303.00566."}