{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BTBXAY2J6RATF7CRMKIVMKPGH2","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":"81ce126b509e3a7795befd0d97b0cf7aedadfd0c790c9c4835ff880d9b472d5b","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T18:22:54Z","title_canon_sha256":"f4922b729ebeb4a765f3cc86e78af961d58857c0bb0629889f525e9c9dfa8d49"},"schema_version":"1.0","source":{"id":"2407.01702","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.01702","created_at":"2026-07-05T09:08:14Z"},{"alias_kind":"arxiv_version","alias_value":"2407.01702v2","created_at":"2026-07-05T09:08:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.01702","created_at":"2026-07-05T09:08:14Z"},{"alias_kind":"pith_short_12","alias_value":"BTBXAY2J6RAT","created_at":"2026-07-05T09:08:14Z"},{"alias_kind":"pith_short_16","alias_value":"BTBXAY2J6RATF7CR","created_at":"2026-07-05T09:08:14Z"},{"alias_kind":"pith_short_8","alias_value":"BTBXAY2J","created_at":"2026-07-05T09:08:14Z"}],"graph_snapshots":[{"event_id":"sha256:0066796aa0e8502eabe10f7ab61fefde15f21d432d68db20891e2e70d2e2d936","target":"graph","created_at":"2026-07-05T09:08:14Z","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/2407.01702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scene flow estimation predicts the 3D motion at each point in successive LiDAR scans. This detailed, point-level, information can help autonomous vehicles to accurately predict and understand dynamic changes in their surroundings. Current state-of-the-art methods require annotated data to train scene flow networks and the expense of labeling inherently limits their scalability. Self-supervised approaches can overcome the above limitations, yet face two principal challenges that hinder optimal performance: point distribution imbalance and disregard for object-level motion constraints. In this p","authors_text":"Olov Andersson, Patric Jensfelt, Peizheng Li, Qingwen Zhang, Yi Yang","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T18:22:54Z","title":"SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.01702","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":"sha256:8d0563b864cefacf32c47b7cd64e509d17a3752c1aa39c59f2c7198de758f817","target":"record","created_at":"2026-07-05T09:08:14Z","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":"81ce126b509e3a7795befd0d97b0cf7aedadfd0c790c9c4835ff880d9b472d5b","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-01T18:22:54Z","title_canon_sha256":"f4922b729ebeb4a765f3cc86e78af961d58857c0bb0629889f525e9c9dfa8d49"},"schema_version":"1.0","source":{"id":"2407.01702","kind":"arxiv","version":2}},"canonical_sha256":"0cc3706349f44132fc5162915629e63eb8a39f8900f45d2ef9dcc23e69abc144","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cc3706349f44132fc5162915629e63eb8a39f8900f45d2ef9dcc23e69abc144","first_computed_at":"2026-07-05T09:08:14.589113Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:08:14.589113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WL4fnJ7H7fPup7K4JFEEhile7XIXVsxIkd+qAV1jv5rMFBVhH+bOLtU4LtN14SOpIL7l7Sg+MRrGhWKS88wLAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:08:14.589531Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.01702","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d0563b864cefacf32c47b7cd64e509d17a3752c1aa39c59f2c7198de758f817","sha256:0066796aa0e8502eabe10f7ab61fefde15f21d432d68db20891e2e70d2e2d936"],"state_sha256":"54544a215d9c2e4152459e7f1d09b7b51512ec51224db6a675389fc8cf65f2ce"}