{"as_of":"2026-08-18T06:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5aaf95ed7c08f1a22767e6e3bfa656d38ef2a634c515d73b8c7b47e94b253a59","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:18:49.759819Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T15:01:09.493307Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.15335","last_updated":"2024-05-22T11:40:21Z","snapshot_observed_at":"2026-08-18T01:09:05.064539Z","submitted_at":"2024-01-27T07:57:20Z","title":"L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.15335","snapshot_observed_at":"2026-08-15T19:18:49.759819Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.02892","last_updated":"2025-06-20T13:44:21Z","snapshot_observed_at":"2026-08-17T04:28:58.800071Z","submitted_at":"2025-06-20T13:44:21Z","title":"Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:49.759819Z"},"links":{"cited_paper":"/paper/2401.15335","citing_paper":"/paper/2507.02892"},"observation_digest":"sha256:0d0317dd52c14c4e180f471e15d14ebd90640456c90e2db25c7bfc49c2c66f37","observation_id":"24dc3b9a-fa01-4a6b-945d-3d22901c7784","resolution":{"observed_at":"2026-08-15T19:18:49.759819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.15335","last_updated":"2024-05-22T11:40:21Z","snapshot_observed_at":"2026-08-18T01:09:05.064539Z","submitted_at":"2024-01-27T07:57:20Z","title":"L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks","version":2},"cited_work":{"arxiv_id":"2401.15335","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.15335","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"L-autoda: Leveraging large language models for automated decision-based adversarial attacks","venue":null,"work_id":"1e1e4212-b2d7-4bae-8bb2-5d756bf6d4ee","year":2024},"citing_paper":{"arxiv_id":"2605.02933","last_updated":"2026-04-30T04:28:10Z","snapshot_observed_at":"2026-08-17T00:50:39.768982Z","submitted_at":"2026-04-30T04:28:10Z","title":"Relation Reasoning with LLMs in Expensive Optimization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-09T20:39:52.030823Z"},"links":{"cited_paper":"/paper/2401.15335","citing_paper":"/paper/2605.02933"},"observation_digest":"sha256:37c2854015a91bf0b19ef6081cd9827dce38915fb5d979a823508f3cc38cf35a","observation_id":"91b910e3-2a4f-4344-94a7-dba12f296976","resolution":{"observed_at":"2026-05-11T15:01:09.498137Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2401.15335/citation-record","integrity":"/paper/2401.15335/integrity","json":"/paper/2401.15335/citation-record.json","paper":"/paper/2401.15335"},"outbound":[],"paper":{"arxiv_id":"2401.15335","last_updated":"2024-05-22T11:40:21Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-18T01:09:05.064539Z","submitted_at":"2024-01-27T07:57:20Z","title":"L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.15335."}