{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZP5MIWDOV36HPNNRSO72UW5QA5","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":"f8ecf64790ef51c05293782cc9d75b7604464f50d4689dc062a5214e5776dab9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-06-03T17:25:18Z","title_canon_sha256":"ca96d316c4223d476c9ca220663bf9248d4303a8555382278e7552df0aee06e3"},"schema_version":"1.0","source":{"id":"2406.01544","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.01544","created_at":"2026-07-05T09:10:47Z"},{"alias_kind":"arxiv_version","alias_value":"2406.01544v2","created_at":"2026-07-05T09:10:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.01544","created_at":"2026-07-05T09:10:47Z"},{"alias_kind":"pith_short_12","alias_value":"ZP5MIWDOV36H","created_at":"2026-07-05T09:10:47Z"},{"alias_kind":"pith_short_16","alias_value":"ZP5MIWDOV36HPNNR","created_at":"2026-07-05T09:10:47Z"},{"alias_kind":"pith_short_8","alias_value":"ZP5MIWDO","created_at":"2026-07-05T09:10:47Z"}],"graph_snapshots":[{"event_id":"sha256:119672c249f2ac8959e0f363a6c3eb75003247b926291b13dfd50c265f9d5ed3","target":"graph","created_at":"2026-07-05T09:10:47Z","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/2406.01544/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The planning problem constitutes a fundamental aspect of the autonomous driving framework. Recent strides in representation learning have empowered vehicles to comprehend their surrounding environments, thereby facilitating the integration of learning-based planning strategies. Among these approaches, Imitation Learning stands out due to its notable training efficiency. However, traditional Imitation Learning methodologies encounter challenges associated with the co-variate shift phenomenon. We propose Validity Learning on Failures, VL(on failure), as a remedy to address this issue. The essenc","authors_text":"Behzad Khamidehi, Cao Tongtong, Fazel Arasteh, Hamidreza Mirkhani, Kasra Rezaee, Mohammed Elmahgiubi, Weize Zhang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-06-03T17:25:18Z","title":"Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.01544","kind":"arxiv","version":2},"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":"sha256:86afd287b9b41d89eb9b0e2e7716458d2260b9264f692700aafd3a5afdcec593","target":"record","created_at":"2026-07-05T09:10:47Z","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":"f8ecf64790ef51c05293782cc9d75b7604464f50d4689dc062a5214e5776dab9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-06-03T17:25:18Z","title_canon_sha256":"ca96d316c4223d476c9ca220663bf9248d4303a8555382278e7552df0aee06e3"},"schema_version":"1.0","source":{"id":"2406.01544","kind":"arxiv","version":2}},"canonical_sha256":"cbfac4586eaefc77b5b193bfaa5bb0077a0320bd02d358f2f6baf803f3c881d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cbfac4586eaefc77b5b193bfaa5bb0077a0320bd02d358f2f6baf803f3c881d6","first_computed_at":"2026-07-05T09:10:47.658848Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:47.658848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QiZZEj+jo0yFKPW+qDR6vxBdIi6TK8GgZiG6PRD/r4kc4uKzrRpIirG8RBa5uTBPnX7ICB5VBYNAR45Lk3O4Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:47.659265Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.01544","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:86afd287b9b41d89eb9b0e2e7716458d2260b9264f692700aafd3a5afdcec593","sha256:119672c249f2ac8959e0f363a6c3eb75003247b926291b13dfd50c265f9d5ed3"],"state_sha256":"b4e9082e78283cebe7ece1ede7e97b4713bbaa2f7f393be0e67ab3b1f53acd16"}