{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:RLBMI4ICSTZZ4NIOSI4XR36BDR","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":"23f2aa66e4de5c7815f250fb5b0f8e94c35c8a0832398224cfbddfe457c6b875","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-29T20:05:24Z","title_canon_sha256":"b9df96de1594e9087c4c0a19dfb97d762dc37e5c071d3f1182911aaef73c5521"},"schema_version":"1.0","source":{"id":"2203.15882","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.15882","created_at":"2026-07-05T04:10:04Z"},{"alias_kind":"arxiv_version","alias_value":"2203.15882v1","created_at":"2026-07-05T04:10:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.15882","created_at":"2026-07-05T04:10:04Z"},{"alias_kind":"pith_short_12","alias_value":"RLBMI4ICSTZZ","created_at":"2026-07-05T04:10:04Z"},{"alias_kind":"pith_short_16","alias_value":"RLBMI4ICSTZZ4NIO","created_at":"2026-07-05T04:10:04Z"},{"alias_kind":"pith_short_8","alias_value":"RLBMI4IC","created_at":"2026-07-05T04:10:04Z"}],"graph_snapshots":[{"event_id":"sha256:453482bab4dfdd5e226adc63dcebc43ab04b779ebe0c2688e0bdd30d382ef315","target":"graph","created_at":"2026-07-05T04:10:04Z","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/2203.15882/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Current 3D object detectors for autonomous driving are almost entirely trained on human-annotated data. Although of high quality, the generation of such data is laborious and costly, restricting them to a few specific locations and object types. This paper proposes an alternative approach entirely based on unlabeled data, which can be collected cheaply and in abundance almost everywhere on earth. Our approach leverages several simple common sense heuristics to create an initial set of approximate seed labels. For example, relevant traffic participants are generally not persistent across multip","authors_text":"Bharath Hariharan, Cheng Perng Phoo, Katie Z Luo, Kilian Q. Weinberger, Mark Campbell, Wei-Lun Chao, Wen Sun, Yurong You","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-29T20:05:24Z","title":"Learning to Detect Mobile Objects from LiDAR Scans Without Labels"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.15882","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":"sha256:425a7c497c8a6a4ddbe4a5f51c68981263dbdaa4e11a506585faa855c522a8a8","target":"record","created_at":"2026-07-05T04:10:04Z","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":"23f2aa66e4de5c7815f250fb5b0f8e94c35c8a0832398224cfbddfe457c6b875","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-29T20:05:24Z","title_canon_sha256":"b9df96de1594e9087c4c0a19dfb97d762dc37e5c071d3f1182911aaef73c5521"},"schema_version":"1.0","source":{"id":"2203.15882","kind":"arxiv","version":1}},"canonical_sha256":"8ac2c4710294f39e350e923978efc11c4d7eae06d78b0ad5d493568ce5eca8ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ac2c4710294f39e350e923978efc11c4d7eae06d78b0ad5d493568ce5eca8ed","first_computed_at":"2026-07-05T04:10:04.737443Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:10:04.737443Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xuym15wWdl77K70wKC9ymRjtoS9Lx1lsFBYJ774CiWu4npVwua/EbLjkzQDohUYvzj6mXjbaCjAX3f+JPvxIDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:10:04.737909Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.15882","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:425a7c497c8a6a4ddbe4a5f51c68981263dbdaa4e11a506585faa855c522a8a8","sha256:453482bab4dfdd5e226adc63dcebc43ab04b779ebe0c2688e0bdd30d382ef315"],"state_sha256":"fdd277ea21422b8fe6f45671b00036d5d7725bdbf4f9256d4babf371807eeda5"}