{"as_of":"2026-08-12T17:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6916ff10e5abca7924793cbfebc72cb679fd3ba1565aaa19a8533af66bb743c","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":"2026-08-12T06:34:41.77262+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":"2026-08-10T17:51:49.909009Z","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":"2026-08-10T17:51:50.067297Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.15357","last_updated":"2021-06-26T07:59:52Z","snapshot_observed_at":"2026-07-06T11:24:09.825729Z","submitted_at":"2021-06-26T07:59:52Z","title":"Multi-stage Optimization based Adversarial Training","version":1},"cited_work":{"arxiv_id":"2106.15357","doi":null,"metadata_source":"pith","pith_arxiv_id":"2106.15357","snapshot_observed_at":"2026-08-10T17:51:50.067297Z","title":"Multi-stage Optimization based Adversarial Training","venue":"cs.LG","work_id":"7ea4be96-43dc-4a34-b5ed-80c1fa3d554d","year":2021},"citing_paper":{"arxiv_id":"2501.11901","last_updated":"2025-03-30T01:07:14Z","snapshot_observed_at":"2026-08-11T00:38:44.786571Z","submitted_at":"2025-01-21T05:41:09Z","title":"Enhancing Adversarial Transferability via Component-Wise Transformation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T17:51:49.909009Z"},"links":{"cited_paper":"/paper/2106.15357","citing_paper":"/paper/2501.11901"},"observation_digest":"sha256:7a15d6bd765c34b47543ee7e7633cef1b77f559cf1bb1f104abba0f5f3ab7739","observation_id":"3f961fce-1ed3-4aac-8bcb-a406dfb7082f","resolution":{"observed_at":"2026-08-10T17:51:50.075928Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2106.15357/citation-record","integrity":"/paper/2106.15357/integrity","json":"/paper/2106.15357/citation-record.json","paper":"/paper/2106.15357"},"outbound":[],"paper":{"arxiv_id":"2106.15357","last_updated":"2021-06-26T07:59:52Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T11:24:09.825729Z","submitted_at":"2021-06-26T07:59:52Z","title":"Multi-stage Optimization based Adversarial Training"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2106.15357."}