{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QKYDEFK5IF3NTF63ZJI67NVC3S","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":"11abd40055a5e983cf6ecd187fc39cd293a81b564f151f1a21c721aa9c525441","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-10-29T10:58:43Z","title_canon_sha256":"1ac858a2a9b969e2bfec9ee9cc381cb0164d91284d8cd79a00f1c078744a8c00"},"schema_version":"1.0","source":{"id":"2210.16567","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.16567","created_at":"2026-07-05T11:39:00Z"},{"alias_kind":"arxiv_version","alias_value":"2210.16567v1","created_at":"2026-07-05T11:39:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.16567","created_at":"2026-07-05T11:39:00Z"},{"alias_kind":"pith_short_12","alias_value":"QKYDEFK5IF3N","created_at":"2026-07-05T11:39:00Z"},{"alias_kind":"pith_short_16","alias_value":"QKYDEFK5IF3NTF63","created_at":"2026-07-05T11:39:00Z"},{"alias_kind":"pith_short_8","alias_value":"QKYDEFK5","created_at":"2026-07-05T11:39:00Z"}],"graph_snapshots":[{"event_id":"sha256:f8e8f5c3fe9c478d83c25d98f338aae1abc3433ccdc838c94958fa37ef39102a","target":"graph","created_at":"2026-07-05T11:39:00Z","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/2210.16567/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Safely navigating through an urban environment without violating any traffic rules is a crucial performance target for reliable autonomous driving. In this paper, we present a Reinforcement Learning (RL) based methodology to DEtect and FIX (DeFIX) failures of an Imitation Learning (IL) agent by extracting infraction spots and re-constructing mini-scenarios on these infraction areas to train an RL agent for fixing the shortcomings of the IL approach. DeFIX is a continuous learning framework, where extraction of failure scenarios and training of RL agents are executed in an infinite loop. After ","authors_text":"Ferhat Yurdakul, Feyza Eksen, Halil Durmus, Nazim Kemal Ure, Resul Dagdanov","cross_cats":["cs.AI","cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-10-29T10:58:43Z","title":"DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.16567","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":"sha256:39691bcf28d9f7b172716c6cbe3e42c47bb1d5c047f2e2811585bf95dcf5f0ab","target":"record","created_at":"2026-07-05T11:39:00Z","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":"11abd40055a5e983cf6ecd187fc39cd293a81b564f151f1a21c721aa9c525441","cross_cats_sorted":["cs.AI","cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2022-10-29T10:58:43Z","title_canon_sha256":"1ac858a2a9b969e2bfec9ee9cc381cb0164d91284d8cd79a00f1c078744a8c00"},"schema_version":"1.0","source":{"id":"2210.16567","kind":"arxiv","version":1}},"canonical_sha256":"82b032155d4176d997dbca51efb6a2dcb9d1a45e4251da1b7d74b8c9d89057d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82b032155d4176d997dbca51efb6a2dcb9d1a45e4251da1b7d74b8c9d89057d0","first_computed_at":"2026-07-05T11:39:00.672853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:39:00.672853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eLqIoBvc4RiKYWW/pfg3DePLofGhzWdgTtzRf4fC+VNfKRQveaavUYKC3c9OoJRmLkHQJoTUdyy6vHceOl7oBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:39:00.673359Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.16567","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39691bcf28d9f7b172716c6cbe3e42c47bb1d5c047f2e2811585bf95dcf5f0ab","sha256:f8e8f5c3fe9c478d83c25d98f338aae1abc3433ccdc838c94958fa37ef39102a"],"state_sha256":"15d9b40b195a9ac6f621b53884cbe4b646eb715730236f2e701ef2bb01edd88a"}