{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4EETAOQDGOKKK4X5SKIJGRR7PX","short_pith_number":"pith:4EETAOQD","canonical_record":{"source":{"id":"2408.03084","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-06T10:24:54Z","cross_cats_sorted":[],"title_canon_sha256":"7e58e3ace9d0caead5c7ac844bcc511b943af4df9a06de18d35d8a9a48ad5efb","abstract_canon_sha256":"13d499ca3122ea265f8a046c244eecfca3ebf6f52f3b656442e223fad995f5b7"},"schema_version":"1.0"},"canonical_sha256":"e109303a033394a572fd929093463f7df4867433625baab4c40a65c87de71034","source":{"kind":"arxiv","id":"2408.03084","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03084","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03084v2","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03084","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"pith_short_12","alias_value":"4EETAOQDGOKK","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"pith_short_16","alias_value":"4EETAOQDGOKKK4X5","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"pith_short_8","alias_value":"4EETAOQD","created_at":"2026-07-05T09:54:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4EETAOQDGOKKK4X5SKIJGRR7PX","target":"record","payload":{"canonical_record":{"source":{"id":"2408.03084","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-06T10:24:54Z","cross_cats_sorted":[],"title_canon_sha256":"7e58e3ace9d0caead5c7ac844bcc511b943af4df9a06de18d35d8a9a48ad5efb","abstract_canon_sha256":"13d499ca3122ea265f8a046c244eecfca3ebf6f52f3b656442e223fad995f5b7"},"schema_version":"1.0"},"canonical_sha256":"e109303a033394a572fd929093463f7df4867433625baab4c40a65c87de71034","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:46.032449Z","signature_b64":"cgzMjunjtXfFLKncFa6f/k9jjerwZ4aDR6tGZunOfG8DrjXtQzQx2eu0o0QnXLDWT+hDfR4+/4JSItq0b5cqCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e109303a033394a572fd929093463f7df4867433625baab4c40a65c87de71034","last_reissued_at":"2026-07-05T09:54:46.031957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:46.031957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.03084","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:54:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j+egol8yPPs5B4NpG8me7L842fQRi+QEZfv0VYYW2nHVecruJdLEUQzmor9qnxZHEmDXE1U0oYrxATiUmLTtBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:46:51.838634Z"},"content_sha256":"dcf47f265af18d4fc28fa331679dd64319ad3b3be8a914cca1cd5f5a097ca612","schema_version":"1.0","event_id":"sha256:dcf47f265af18d4fc28fa331679dd64319ad3b3be8a914cca1cd5f5a097ca612"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4EETAOQDGOKKK4X5SKIJGRR7PX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Changsong Wei, Hao Yan, Junyu Wang, Minheng Xiao, Zixiang Wang","submitted_at":"2024-08-06T10:24:54Z","abstract_excerpt":"The behavior decision-making subsystem is a key component of the autonomous driving system, which reflects the decision-making ability of the vehicle and the driver, and is an important symbol of the high-level intelligence of the vehicle. However, the existing rule-based decision-making schemes are limited by the prior knowledge of designers, and it is difficult to cope with complex and changeable traffic scenarios. In this work, an advanced deep reinforcement learning model is adopted, which can autonomously learn and optimize driving strategies in a complex and changeable traffic environmen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03084","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.03084/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:54:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yecqKXmQMR/HHzCcTe5IVMHB0zlu73UqmDCC7z3QX8SDrWVUbEqnojZ+thaxi15Iz6TfpVE2/y2tqxwpnkUDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:46:51.839458Z"},"content_sha256":"472a23a1dcf60ea0b9671b333369e18dfc82192360ca10dc369427af12d21e37","schema_version":"1.0","event_id":"sha256:472a23a1dcf60ea0b9671b333369e18dfc82192360ca10dc369427af12d21e37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4EETAOQDGOKKK4X5SKIJGRR7PX/bundle.json","state_url":"https://pith.science/pith/4EETAOQDGOKKK4X5SKIJGRR7PX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4EETAOQDGOKKK4X5SKIJGRR7PX/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-12T07:46:51Z","links":{"resolver":"https://pith.science/pith/4EETAOQDGOKKK4X5SKIJGRR7PX","bundle":"https://pith.science/pith/4EETAOQDGOKKK4X5SKIJGRR7PX/bundle.json","state":"https://pith.science/pith/4EETAOQDGOKKK4X5SKIJGRR7PX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4EETAOQDGOKKK4X5SKIJGRR7PX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4EETAOQDGOKKK4X5SKIJGRR7PX","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":"13d499ca3122ea265f8a046c244eecfca3ebf6f52f3b656442e223fad995f5b7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-06T10:24:54Z","title_canon_sha256":"7e58e3ace9d0caead5c7ac844bcc511b943af4df9a06de18d35d8a9a48ad5efb"},"schema_version":"1.0","source":{"id":"2408.03084","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.03084","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"arxiv_version","alias_value":"2408.03084v2","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.03084","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"pith_short_12","alias_value":"4EETAOQDGOKK","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"pith_short_16","alias_value":"4EETAOQDGOKKK4X5","created_at":"2026-07-05T09:54:46Z"},{"alias_kind":"pith_short_8","alias_value":"4EETAOQD","created_at":"2026-07-05T09:54:46Z"}],"graph_snapshots":[{"event_id":"sha256:472a23a1dcf60ea0b9671b333369e18dfc82192360ca10dc369427af12d21e37","target":"graph","created_at":"2026-07-05T09:54:46Z","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/2408.03084/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The behavior decision-making subsystem is a key component of the autonomous driving system, which reflects the decision-making ability of the vehicle and the driver, and is an important symbol of the high-level intelligence of the vehicle. However, the existing rule-based decision-making schemes are limited by the prior knowledge of designers, and it is difficult to cope with complex and changeable traffic scenarios. In this work, an advanced deep reinforcement learning model is adopted, which can autonomously learn and optimize driving strategies in a complex and changeable traffic environmen","authors_text":"Changsong Wei, Hao Yan, Junyu Wang, Minheng Xiao, Zixiang Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-06T10:24:54Z","title":"Research on Autonomous Driving Decision-making Strategies based Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.03084","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:dcf47f265af18d4fc28fa331679dd64319ad3b3be8a914cca1cd5f5a097ca612","target":"record","created_at":"2026-07-05T09:54:46Z","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":"13d499ca3122ea265f8a046c244eecfca3ebf6f52f3b656442e223fad995f5b7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-06T10:24:54Z","title_canon_sha256":"7e58e3ace9d0caead5c7ac844bcc511b943af4df9a06de18d35d8a9a48ad5efb"},"schema_version":"1.0","source":{"id":"2408.03084","kind":"arxiv","version":2}},"canonical_sha256":"e109303a033394a572fd929093463f7df4867433625baab4c40a65c87de71034","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e109303a033394a572fd929093463f7df4867433625baab4c40a65c87de71034","first_computed_at":"2026-07-05T09:54:46.031957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:46.031957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cgzMjunjtXfFLKncFa6f/k9jjerwZ4aDR6tGZunOfG8DrjXtQzQx2eu0o0QnXLDWT+hDfR4+/4JSItq0b5cqCA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:46.032449Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.03084","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dcf47f265af18d4fc28fa331679dd64319ad3b3be8a914cca1cd5f5a097ca612","sha256:472a23a1dcf60ea0b9671b333369e18dfc82192360ca10dc369427af12d21e37"],"state_sha256":"ade5f59ccb7e0e65af71c802749f598ee26875952b9c845c7844ca250972c1d3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"htLo32rJtrdPxb1FtbfOnLQYLO9MZsoGRyoRzWsTGZQeHRYTnPDGPMF8wIvheoRYfANSr5OekpLJhFftkaGEAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T07:46:51.846324Z","bundle_sha256":"33657eebff9f81c8f72c53b95d77dba72689be0ddd572e45e1bdff7864ae3671"}}