{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HLUSRIK5K23PROP3JSFKQRQCFW","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":"f323a12807132d0279fcee0bc5ae2b40959bc82d8eb539e078ff964bb1fa8444","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-01-18T09:20:27Z","title_canon_sha256":"50f04e7521cb6732ef9b0778e4e979460c5db85d2e19f64c9ed55b5219b750c9"},"schema_version":"1.0","source":{"id":"2401.09819","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.09819","created_at":"2026-07-05T08:11:00Z"},{"alias_kind":"arxiv_version","alias_value":"2401.09819v2","created_at":"2026-07-05T08:11:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.09819","created_at":"2026-07-05T08:11:00Z"},{"alias_kind":"pith_short_12","alias_value":"HLUSRIK5K23P","created_at":"2026-07-05T08:11:00Z"},{"alias_kind":"pith_short_16","alias_value":"HLUSRIK5K23PROP3","created_at":"2026-07-05T08:11:00Z"},{"alias_kind":"pith_short_8","alias_value":"HLUSRIK5","created_at":"2026-07-05T08:11:00Z"}],"graph_snapshots":[{"event_id":"sha256:6d365640b8bc5f513c78351c86f9efbb041e3724cff237933e6a037d0ccb6489","target":"graph","created_at":"2026-07-05T08:11:00Z","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/2401.09819/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The classical path planners, such as sampling-based path planners, can provide probabilistic completeness guarantees in the sense that the probability that the planner fails to return a solution if one exists, decays to zero as the number of samples approaches infinity. However, finding a near-optimal feasible solution in a given period is challenging in many applications such as the autonomous vehicle. To achieve an end-to-end near-optimal path planner, we first divide the path planning problem into two subproblems, which are path space segmentation and waypoints generation in the given path'","authors_text":"Bin Liang, Chongkun Xia, Qinglong Meng, Songping Mai, Xueqian Wang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-01-18T09:20:27Z","title":"PPNet: A Two-Stage Neural Network for End-to-end Path Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.09819","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":"sha256:4547b1264e9930f6b534da607599202422cd7449499e40a141357ccd7d90c165","target":"record","created_at":"2026-07-05T08:11:00Z","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":"f323a12807132d0279fcee0bc5ae2b40959bc82d8eb539e078ff964bb1fa8444","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-01-18T09:20:27Z","title_canon_sha256":"50f04e7521cb6732ef9b0778e4e979460c5db85d2e19f64c9ed55b5219b750c9"},"schema_version":"1.0","source":{"id":"2401.09819","kind":"arxiv","version":2}},"canonical_sha256":"3ae928a15d56b6f8b9fb4c8aa846022da807b7b44a7704c5f57a89e542b10b59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ae928a15d56b6f8b9fb4c8aa846022da807b7b44a7704c5f57a89e542b10b59","first_computed_at":"2026-07-05T08:11:00.346289Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:00.346289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"A5b7IEzQLKF8tA63ijLk6Tfxv5JTmzoQYUFduNXlc9OaADceRRDc+kSdJvZxcAia8IG+//EvBoV59ue/FhKkAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:00.346850Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.09819","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4547b1264e9930f6b534da607599202422cd7449499e40a141357ccd7d90c165","sha256:6d365640b8bc5f513c78351c86f9efbb041e3724cff237933e6a037d0ccb6489"],"state_sha256":"cd2d02054b367e6a413c8219df4667cef69b3a1c68cae5095d469dbdde2eb6aa"}