{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JLXBB5ZFUUD7YLD2TY7TDEOOKC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"68e88121289c91efbf849e81b3d8719411ae759c23ced053e3da0f43faa4c3bd","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-14T19:14:24Z","title_canon_sha256":"a72a59483193e384bdf63a2a4f95e4ae95f501756ad5a5ef64f084371a28f600"},"schema_version":"1.0","source":{"id":"2303.08187","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.08187","created_at":"2026-07-05T05:51:16Z"},{"alias_kind":"arxiv_version","alias_value":"2303.08187v1","created_at":"2026-07-05T05:51:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.08187","created_at":"2026-07-05T05:51:16Z"},{"alias_kind":"pith_short_12","alias_value":"JLXBB5ZFUUD7","created_at":"2026-07-05T05:51:16Z"},{"alias_kind":"pith_short_16","alias_value":"JLXBB5ZFUUD7YLD2","created_at":"2026-07-05T05:51:16Z"},{"alias_kind":"pith_short_8","alias_value":"JLXBB5ZF","created_at":"2026-07-05T05:51:16Z"}],"graph_snapshots":[{"event_id":"sha256:80c04dc911a44550c840d779044a28ba962a8059b48478b869664ebf5ecb367f","target":"graph","created_at":"2026-07-05T05:51:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2303.08187/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Uncertainty in decision-making is crucial in the machine learning model used for a safety-critical system that operates in the real world. Therefore, it is important to handle uncertainty in a graceful manner for the safe operation of the CPS. In this work, we design a vehicle's lateral controller using a machine-learning model. To this end, we train a random forest model that is an ensemble model and a deep neural network model. Due to the ensemble in the random forest model, we can predict the confidence/uncertainty in the prediction. We train our controller on data generated from running th","authors_text":"Akash Fogla, Bishnu ramanujan, Kanish Kumar, Sunnay Saurav","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-14T19:14:24Z","title":"Vehicle lateral control using Machine Learning for automated vehicle guidance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.08187","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:dead764d4bf1be9704ddd24365a6a7dc1bea2dbf6b7afd82346fe17cf0824547","target":"record","created_at":"2026-07-05T05:51:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"68e88121289c91efbf849e81b3d8719411ae759c23ced053e3da0f43faa4c3bd","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-03-14T19:14:24Z","title_canon_sha256":"a72a59483193e384bdf63a2a4f95e4ae95f501756ad5a5ef64f084371a28f600"},"schema_version":"1.0","source":{"id":"2303.08187","kind":"arxiv","version":1}},"canonical_sha256":"4aee10f725a507fc2c7a9e3f3191ce50939ec7741ac1c7e23552ebb346964ffa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4aee10f725a507fc2c7a9e3f3191ce50939ec7741ac1c7e23552ebb346964ffa","first_computed_at":"2026-07-05T05:51:16.957870Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:51:16.957870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qEiCWe2SfIbqYbxRWXK6GfuB1KGVlhnsEJ+VyKVF/DtWHBQIhI/h/kMnPb/KG9dl88bVphgNFwV5orsLcqnDAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:51:16.958220Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.08187","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dead764d4bf1be9704ddd24365a6a7dc1bea2dbf6b7afd82346fe17cf0824547","sha256:80c04dc911a44550c840d779044a28ba962a8059b48478b869664ebf5ecb367f"],"state_sha256":"54e868b95062e4c1fb7b238082f0c84cda471dce20f43313604cd2a1a3650545"}