{"as_of":"2026-08-10T13:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0557b6925477f8f6e8a50144bf16c76dc9f377cc49c8c73d8d2a8361eaa6fae3","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":"2026-08-10T06:31:04.303077+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":"2026-08-06T19:31:02.453175Z","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":"2026-08-06T19:31:07.385755Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.08177","last_updated":"2023-10-12T10:03:25Z","snapshot_observed_at":"2026-07-06T16:31:48.246401Z","submitted_at":"2023-10-12T10:03:25Z","title":"Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization","version":1},"cited_work":{"arxiv_id":"2310.08177","doi":null,"metadata_source":"pith","pith_arxiv_id":"2310.08177","snapshot_observed_at":"2026-08-06T19:31:07.385755Z","title":"Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization","venue":"cs.LG","work_id":"28479577-c18d-4288-8b85-5fb763dc5773","year":2023},"citing_paper":{"arxiv_id":"2507.05441","last_updated":"2025-07-07T19:45:46Z","snapshot_observed_at":"2026-08-09T08:00:50.011224Z","submitted_at":"2025-07-07T19:45:46Z","title":"Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:31:02.453175Z"},"links":{"cited_paper":"/paper/2310.08177","citing_paper":"/paper/2507.05441"},"observation_digest":"sha256:59aa388fdbbd160c4f147907c03c69e8e03b13f046fb6c09505e7977dc2779af","observation_id":"94ffdbf6-e959-4a7c-b9cf-c2ceeece5a3e","resolution":{"observed_at":"2026-08-06T19:31:07.389779Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2310.08177/citation-record","integrity":"/paper/2310.08177/integrity","json":"/paper/2310.08177/citation-record.json","paper":"/paper/2310.08177"},"outbound":[],"paper":{"arxiv_id":"2310.08177","last_updated":"2023-10-12T10:03:25Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:31:48.246401Z","submitted_at":"2023-10-12T10:03:25Z","title":"Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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:2310.08177."}