{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:DEQLVIXKTWAY2642JRE54NERMX","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":"3c62700627a3dd8f6077c6099a4a5565beb2033efcdc3f1eee9c0655724d5b14","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-26T06:27:01Z","title_canon_sha256":"aaa2ccabb4b2459f584357430d2e46f366f1866af0b230baa9e97a6ae7d4f131"},"schema_version":"1.0","source":{"id":"1908.09492","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.09492","created_at":"2026-07-04T23:59:40Z"},{"alias_kind":"arxiv_version","alias_value":"1908.09492v1","created_at":"2026-07-04T23:59:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.09492","created_at":"2026-07-04T23:59:40Z"},{"alias_kind":"pith_short_12","alias_value":"DEQLVIXKTWAY","created_at":"2026-07-04T23:59:40Z"},{"alias_kind":"pith_short_16","alias_value":"DEQLVIXKTWAY2642","created_at":"2026-07-04T23:59:40Z"},{"alias_kind":"pith_short_8","alias_value":"DEQLVIXK","created_at":"2026-07-04T23:59:40Z"}],"graph_snapshots":[{"event_id":"sha256:cc4fb3c0c950221ef5d1d45ee2e7420d9a59a8af634ad04406364748ead5f2a7","target":"graph","created_at":"2026-07-04T23:59:40Z","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/1908.09492/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This report presents our method which wins the nuScenes3D Detection Challenge [17] held in Workshop on Autonomous Driving(WAD, CVPR 2019). Generally, we utilize sparse 3D convolution to extract rich semantic features, which are then fed into a class-balanced multi-head network to perform 3D object detection. To handle the severe class imbalance problem inherent in the autonomous driving scenarios, we design a class-balanced sampling and augmentation strategy to generate a more balanced data distribution. Furthermore, we propose a balanced group-ing head to boost the performance for the categor","authors_text":"Benjin Zhu, Gang Yu, Xiangxin Zhou, Zeming Li, Zhengkai Jiang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-26T06:27:01Z","title":"Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.09492","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":"sha256:6977f45846b0e3c8bad0a66869257bb7c778a428c4ed566426e3f0e097e6b475","target":"record","created_at":"2026-07-04T23:59:40Z","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":"3c62700627a3dd8f6077c6099a4a5565beb2033efcdc3f1eee9c0655724d5b14","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-26T06:27:01Z","title_canon_sha256":"aaa2ccabb4b2459f584357430d2e46f366f1866af0b230baa9e97a6ae7d4f131"},"schema_version":"1.0","source":{"id":"1908.09492","kind":"arxiv","version":1}},"canonical_sha256":"1920baa2ea9d818d7b9a4c49de349165eaf1700a93b5b3fce41a8fd6f9a9b1b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1920baa2ea9d818d7b9a4c49de349165eaf1700a93b5b3fce41a8fd6f9a9b1b1","first_computed_at":"2026-07-04T23:59:40.695399Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:59:40.695399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b7mqvc1pwSUoprkaJwweMVG+8aserGqHxPPbZrtDHC5qta6Ppvr2qHyWlbvzvBdMda3r+4ZHeN9h8zg6G+oQBA==","signature_status":"signed_v1","signed_at":"2026-07-04T23:59:40.695880Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.09492","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6977f45846b0e3c8bad0a66869257bb7c778a428c4ed566426e3f0e097e6b475","sha256:cc4fb3c0c950221ef5d1d45ee2e7420d9a59a8af634ad04406364748ead5f2a7"],"state_sha256":"b1cffd6852bb2b6af8524ceb1999b5b7972fdf16b0b763c42ada4808f88c3714"}