{"as_of":"2026-08-11T02:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7a2d2167eb87475962470204142477f431ac07bcdab219c0640e5c068ea2124c","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":"2026-08-10T06:31:04.303077+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":"2026-08-04T11:13:08.822189Z","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":"2026-05-11T12:26:03.724696Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.11755","last_updated":"2025-05-20T02:30:21Z","snapshot_observed_at":"2026-08-10T04:57:16.426633Z","submitted_at":"2025-05-16T23:30:13Z","title":"Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.11755","snapshot_observed_at":"2026-08-04T11:13:08.822189Z","title":"Reachability barrier networks: Learning hamilton-jacobi solutions for smooth and flexible control barrier functions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.06492","last_updated":"2026-06-06T02:12:48Z","snapshot_observed_at":"2026-08-09T06:35:17.313197Z","submitted_at":"2025-10-07T22:09:42Z","title":"How Well Do Latent World Models Understand Partially Observable Safety Constraints?","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T11:13:08.822189Z"},"links":{"cited_paper":"/paper/2505.11755","citing_paper":"/paper/2510.06492"},"observation_digest":"sha256:e97be3f3e9b68364dd47376fbbf9fd6530a5120bd7c491eaba99717c2f1e58fc","observation_id":"d8547c08-0da8-4ec3-a7b3-29de6e9332e5","resolution":{"observed_at":"2026-08-04T11:13:08.822189Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.11755","last_updated":"2025-05-20T02:30:21Z","snapshot_observed_at":"2026-08-10T04:57:16.426633Z","submitted_at":"2025-05-16T23:30:13Z","title":"Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions","version":2},"cited_work":{"arxiv_id":"2505.11755","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.11755","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0e78563f-f453-47fb-847f-872a79fec324","year":2025},"citing_paper":{"arxiv_id":"2604.18482","last_updated":"2026-04-20T16:34:49Z","snapshot_observed_at":"2026-08-02T09:03:29.385449Z","submitted_at":"2026-04-20T16:34:49Z","title":"Safe Control using Learned Safety Filters and Adaptive Conformal Inference","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T03:41:43.706026Z"},"links":{"cited_paper":"/paper/2505.11755","citing_paper":"/paper/2604.18482"},"observation_digest":"sha256:4b94ea19b64c43cab1afbdfdc7e2dfd88f44fc534149b953d5456aa3c8c4b44f","observation_id":"091aad68-fa65-4df9-844f-a342377dd8e4","resolution":{"observed_at":"2026-05-11T12:26:03.728828Z","resolver_source":"arxiv_id","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/2505.11755/citation-record","integrity":"/paper/2505.11755/integrity","json":"/paper/2505.11755/citation-record.json","paper":"/paper/2505.11755"},"outbound":[],"paper":{"arxiv_id":"2505.11755","last_updated":"2025-05-20T02:30:21Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-10T04:57:16.426633Z","submitted_at":"2025-05-16T23:30:13Z","title":"Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions"},"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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.11755."}