{"as_of":"2026-08-11T14:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ab144dddd65708f6ae054f04f754362d9f6f608921b11307d593789124ff294e","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":"2026-08-11T06:34:44.6726+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":"2026-08-09T14:08:38.326594Z","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":"2026-08-09T11:29:52.240411Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.11006","last_updated":"2023-09-20T02:20:11Z","snapshot_observed_at":"2026-07-06T16:20:48.868168Z","submitted_at":"2023-09-20T02:20:11Z","title":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11006","snapshot_observed_at":"2026-08-09T14:08:38.326594Z","title":"Starnet: Sensor trustworthiness and anomaly recognition via approx- imated likelihood regret for robust edge autonomy,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01896","last_updated":"2025-02-04T00:02:16Z","snapshot_observed_at":"2026-08-11T00:46:58.748282Z","submitted_at":"2025-02-04T00:02:16Z","title":"INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T14:08:38.326594Z"},"links":{"cited_paper":"/paper/2309.11006","citing_paper":"/paper/2502.01896"},"observation_digest":"sha256:2647799fa786266e8d0abd5df005162db146fd5c4c13338288f87ba090d0fb6c","observation_id":"9cf34b5d-c45d-40e9-bd8d-1ed64517c399","resolution":{"observed_at":"2026-08-09T14:08:38.326594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11006","last_updated":"2023-09-20T02:20:11Z","snapshot_observed_at":"2026-07-06T16:20:48.868168Z","submitted_at":"2023-09-20T02:20:11Z","title":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy","version":1},"cited_work":{"arxiv_id":"2309.11006","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.11006","snapshot_observed_at":"2026-08-09T11:29:52.240411Z","title":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy","venue":"cs.RO","work_id":"db0091f5-cac5-40d0-bb03-7e2cdbbd55bd","year":2023},"citing_paper":{"arxiv_id":"2502.02692","last_updated":"2025-02-04T20:13:58Z","snapshot_observed_at":"2026-08-09T11:23:59.852774Z","submitted_at":"2025-02-04T20:13:58Z","title":"Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T11:29:51.969991Z"},"links":{"cited_paper":"/paper/2309.11006","citing_paper":"/paper/2502.02692"},"observation_digest":"sha256:aab276e4534f0563d10583ec19dfb5017c39e48296afc7b0e9d3447e16770291","observation_id":"5c16a4f7-dab9-4e6f-b0a7-87fafe35a8ba","resolution":{"observed_at":"2026-08-09T11:29:52.244728Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.11006/citation-record","integrity":"/paper/2309.11006/integrity","json":"/paper/2309.11006/citation-record.json","paper":"/paper/2309.11006"},"outbound":[],"paper":{"arxiv_id":"2309.11006","last_updated":"2023-09-20T02:20:11Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-07-06T16:20:48.868168Z","submitted_at":"2023-09-20T02:20:11Z","title":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:2309.11006."}