{"as_of":"2026-08-17T02:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b74e1abcb4e01558f762adc4b0aa407b3727c25d1af7651556bb35bd229870a","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":"2026-08-14T14:56:51.478499Z","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":"2026-08-14T14:56:52.124920Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.00441","last_updated":"2019-12-09T19:18:49Z","snapshot_observed_at":"2026-08-15T12:07:35.068253Z","submitted_at":"2019-05-01T18:20:09Z","title":"NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks","version":3},"cited_work":{"arxiv_id":"1905.00441","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.00441","snapshot_observed_at":"2026-08-14T14:56:52.124920Z","title":"NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks","venue":"cs.LG","work_id":"1574d475-b97b-4bd4-af36-6b0faba1832b","year":2019},"citing_paper":{"arxiv_id":"1908.02199","last_updated":"2019-08-06T15:06:21Z","snapshot_observed_at":"2026-08-15T18:18:10.017350Z","submitted_at":"2019-08-06T15:06:21Z","title":"MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T14:56:51.478499Z"},"links":{"cited_paper":"/paper/1905.00441","citing_paper":"/paper/1908.02199"},"observation_digest":"sha256:0f28e83d20953500dd44d6d88b030b44868e7e3fb4b07246b81d4f0df1cf4b54","observation_id":"871f0b36-70f1-40cf-9549-8e62988405d4","resolution":{"observed_at":"2026-08-14T14:56:52.132712Z","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/1905.00441/citation-record","integrity":"/paper/1905.00441/integrity","json":"/paper/1905.00441/citation-record.json","paper":"/paper/1905.00441"},"outbound":[],"paper":{"arxiv_id":"1905.00441","last_updated":"2019-12-09T19:18:49Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T12:07:35.068253Z","submitted_at":"2019-05-01T18:20:09Z","title":"NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks"},"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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1905.00441."}