{"as_of":"2026-08-22T17:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e38c6f08b31f4e123a3601401523478cd9cb204f37aed083b6d74a02da85cf0","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":"2026-08-22T06:32:14.747728+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":"2026-08-12T14:09:08.244227Z","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":"2026-08-04T23:44:25.132208Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.14528","last_updated":"2024-10-18T15:10:55Z","snapshot_observed_at":"2026-08-18T17:26:16.992700Z","submitted_at":"2024-10-18T15:10:55Z","title":"Domain Adaptive Safety Filters via Deep Operator Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14528","snapshot_observed_at":"2026-08-12T14:09:08.244227Z","title":"Domain adaptive safety filters via deep operator learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.15643","last_updated":"2025-05-22T18:13:48Z","snapshot_observed_at":"2026-08-18T04:06:21.773343Z","submitted_at":"2024-11-23T20:15:51Z","title":"Safe PDE Boundary Control with Neural Operators","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-12T14:09:08.244227Z"},"links":{"cited_paper":"/paper/2410.14528","citing_paper":"/paper/2411.15643"},"observation_digest":"sha256:a6b09bc12803fcd938d33a380067083cfc8276225f77788a4455d746d55f5860","observation_id":"4bb476a4-a887-4918-b18a-f05b2c1115dc","resolution":{"observed_at":"2026-08-12T14:09:08.244227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14528","last_updated":"2024-10-18T15:10:55Z","snapshot_observed_at":"2026-08-18T17:26:16.992700Z","submitted_at":"2024-10-18T15:10:55Z","title":"Domain Adaptive Safety Filters via Deep Operator Learning","version":1},"cited_work":{"arxiv_id":"2410.14528","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.14528","snapshot_observed_at":"2026-08-04T23:44:25.132208Z","title":"Domain Adaptive Safety Filters via Deep Operator Learning","venue":"eess.SY","work_id":"637e794f-2efe-45c3-87dc-e33ee5d49c50","year":2024},"citing_paper":{"arxiv_id":"2509.06404","last_updated":"2025-09-08T07:51:50Z","snapshot_observed_at":"2026-08-18T17:26:36.884324Z","submitted_at":"2025-09-08T07:51:50Z","title":"Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No Retraining","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T23:44:25.079069Z"},"links":{"cited_paper":"/paper/2410.14528","citing_paper":"/paper/2509.06404"},"observation_digest":"sha256:29eca20b241b82d16ad2e94caa2cc61c750af8e5c43403a89428801fae1a680d","observation_id":"30e6ce5f-9ffa-4af2-b3b4-71c6ecfd6fd6","resolution":{"observed_at":"2026-08-04T23:44:25.137875Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.14528/citation-record","integrity":"/paper/2410.14528/integrity","json":"/paper/2410.14528/citation-record.json","paper":"/paper/2410.14528"},"outbound":[],"paper":{"arxiv_id":"2410.14528","last_updated":"2024-10-18T15:10:55Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-18T17:26:16.992700Z","submitted_at":"2024-10-18T15:10:55Z","title":"Domain Adaptive Safety Filters via Deep Operator Learning"},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.14528."}