{"as_of":"2026-08-08T21:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:122f80abdfdb8244017baa960deb0e7adf5155d54183b6fc58276ea69f248706","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T17:47:04.481657Z","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":"2026-08-06T17:47:04.677110Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1710.01727","last_updated":"2017-10-11T20:26:15Z","snapshot_observed_at":"2026-07-06T06:02:45.671306Z","submitted_at":"2017-10-04T19:15:32Z","title":"Privacy-Preserving Deep Inference for Rich User Data on The Cloud","version":3},"cited_work":{"arxiv_id":"1710.01727","doi":null,"metadata_source":"pith","pith_arxiv_id":"1710.01727","snapshot_observed_at":"2026-08-06T17:47:04.677110Z","title":"Privacy-Preserving Deep Inference for Rich User Data on The Cloud","venue":"cs.CV","work_id":"d2c1e747-d8fc-4af2-99ce-fd053b06864c","year":2017},"citing_paper":{"arxiv_id":"2507.10194","last_updated":"2025-07-14T12:01:08Z","snapshot_observed_at":"2026-08-08T10:55:09.891170Z","submitted_at":"2025-07-14T12:01:08Z","title":"Learning Private Representations through Entropy-based Adversarial Training","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T17:47:04.481657Z"},"links":{"cited_paper":"/paper/1710.01727","citing_paper":"/paper/2507.10194"},"observation_digest":"sha256:2bd8c5bb258c997d6215aae649eff4535d216bd6b11c98b4d1aadf37d1009080","observation_id":"8d0667c0-32cd-4509-a5e5-6e85f2543d90","resolution":{"observed_at":"2026-08-06T17:47:04.681695Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1710.01727/citation-record","integrity":"/paper/1710.01727/integrity","json":"/paper/1710.01727/citation-record.json","paper":"/paper/1710.01727"},"outbound":[],"paper":{"arxiv_id":"1710.01727","last_updated":"2017-10-11T20:26:15Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T06:02:45.671306Z","submitted_at":"2017-10-04T19:15:32Z","title":"Privacy-Preserving Deep Inference for Rich User Data on The Cloud"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1710.01727."}