{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:YX5SZWBA7UVW3KWUHRRRJXHJFE","short_pith_number":"pith:YX5SZWBA","canonical_record":{"source":{"id":"2211.11962","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T02:51:56Z","cross_cats_sorted":[],"title_canon_sha256":"e6aea2f97ad72fa939f6c16e4cdbb9e5b393536968919542c56a2be3e527d62c","abstract_canon_sha256":"528f576c7d230f1717d3416ac660e09a00ee1b73c234b5e64bd5da3028e97443"},"schema_version":"1.0"},"canonical_sha256":"c5fb2cd820fd2b6daad43c6314dce92923ac2c05405ecdff9b9514dfb036e482","source":{"kind":"arxiv","id":"2211.11962","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.11962","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2211.11962v3","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.11962","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"YX5SZWBA7UVW","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"YX5SZWBA7UVW3KWU","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"YX5SZWBA","created_at":"2026-07-05T05:21:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:YX5SZWBA7UVW3KWUHRRRJXHJFE","target":"record","payload":{"canonical_record":{"source":{"id":"2211.11962","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T02:51:56Z","cross_cats_sorted":[],"title_canon_sha256":"e6aea2f97ad72fa939f6c16e4cdbb9e5b393536968919542c56a2be3e527d62c","abstract_canon_sha256":"528f576c7d230f1717d3416ac660e09a00ee1b73c234b5e64bd5da3028e97443"},"schema_version":"1.0"},"canonical_sha256":"c5fb2cd820fd2b6daad43c6314dce92923ac2c05405ecdff9b9514dfb036e482","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:21:28.743293Z","signature_b64":"X/XT1NcvLb/Ap7+EeXi9yYYs4DT/4yTassWLkHcd/XzDJjVeoai/MPivqX8iWRrARK9+soHJqydZrhUycLxJBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5fb2cd820fd2b6daad43c6314dce92923ac2c05405ecdff9b9514dfb036e482","last_reissued_at":"2026-07-05T05:21:28.742866Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:21:28.742866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2211.11962","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jSqYU7/6ZQnNINTuq3q06CZaUeKw1sDFT7/VdFkbM/j69T0qqOrVp7aFrPh+m73gf4Yna3GTFMix3p3YuRkhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:33:41.187258Z"},"content_sha256":"2df4727cc9a6771ddd1b82be613c2b9f61fea084bf2a4dbe6c092cb66aa6bf89","schema_version":"1.0","event_id":"sha256:2df4727cc9a6771ddd1b82be613c2b9f61fea084bf2a4dbe6c092cb66aa6bf89"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:YX5SZWBA7UVW3KWUHRRRJXHJFE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transformation-Equivariant 3D Object Detection for Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenglu Wen, Cheng Wang, Hai Wu, Ruigang Yang, Wei Li, Xin Li","submitted_at":"2022-11-22T02:51:56Z","abstract_excerpt":"3D object detection received increasing attention in autonomous driving recently. Objects in 3D scenes are distributed with diverse orientations. Ordinary detectors do not explicitly model the variations of rotation and reflection transformations. Consequently, large networks and extensive data augmentation are required for robust detection. Recent equivariant networks explicitly model the transformation variations by applying shared networks on multiple transformed point clouds, showing great potential in object geometry modeling. However, it is difficult to apply such networks to 3D object d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.11962","kind":"arxiv","version":3},"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/2211.11962/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":"2026-07-05T05:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"stSTHMzRM+/592InNl8hWuE59kIFq7XRGyNnKCsXG7F8KUdTpVJOrGdoU74vRm0BQ3WB+H3e91VFtuLF7eRvDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T13:33:41.188008Z"},"content_sha256":"da9dad0be6b9517051f74b375aed878dae9a36aeaa22e5442b9b6563306b117c","schema_version":"1.0","event_id":"sha256:da9dad0be6b9517051f74b375aed878dae9a36aeaa22e5442b9b6563306b117c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YX5SZWBA7UVW3KWUHRRRJXHJFE/bundle.json","state_url":"https://pith.science/pith/YX5SZWBA7UVW3KWUHRRRJXHJFE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YX5SZWBA7UVW3KWUHRRRJXHJFE/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":"2026-08-12T13:33:41Z","links":{"resolver":"https://pith.science/pith/YX5SZWBA7UVW3KWUHRRRJXHJFE","bundle":"https://pith.science/pith/YX5SZWBA7UVW3KWUHRRRJXHJFE/bundle.json","state":"https://pith.science/pith/YX5SZWBA7UVW3KWUHRRRJXHJFE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YX5SZWBA7UVW3KWUHRRRJXHJFE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:YX5SZWBA7UVW3KWUHRRRJXHJFE","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":"528f576c7d230f1717d3416ac660e09a00ee1b73c234b5e64bd5da3028e97443","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T02:51:56Z","title_canon_sha256":"e6aea2f97ad72fa939f6c16e4cdbb9e5b393536968919542c56a2be3e527d62c"},"schema_version":"1.0","source":{"id":"2211.11962","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2211.11962","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2211.11962v3","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.11962","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"YX5SZWBA7UVW","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"YX5SZWBA7UVW3KWU","created_at":"2026-07-05T05:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"YX5SZWBA","created_at":"2026-07-05T05:21:28Z"}],"graph_snapshots":[{"event_id":"sha256:da9dad0be6b9517051f74b375aed878dae9a36aeaa22e5442b9b6563306b117c","target":"graph","created_at":"2026-07-05T05:21:28Z","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/2211.11962/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D object detection received increasing attention in autonomous driving recently. Objects in 3D scenes are distributed with diverse orientations. Ordinary detectors do not explicitly model the variations of rotation and reflection transformations. Consequently, large networks and extensive data augmentation are required for robust detection. Recent equivariant networks explicitly model the transformation variations by applying shared networks on multiple transformed point clouds, showing great potential in object geometry modeling. However, it is difficult to apply such networks to 3D object d","authors_text":"Chenglu Wen, Cheng Wang, Hai Wu, Ruigang Yang, Wei Li, Xin Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T02:51:56Z","title":"Transformation-Equivariant 3D Object Detection for Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.11962","kind":"arxiv","version":3},"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":"sha256:2df4727cc9a6771ddd1b82be613c2b9f61fea084bf2a4dbe6c092cb66aa6bf89","target":"record","created_at":"2026-07-05T05:21:28Z","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":"528f576c7d230f1717d3416ac660e09a00ee1b73c234b5e64bd5da3028e97443","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-11-22T02:51:56Z","title_canon_sha256":"e6aea2f97ad72fa939f6c16e4cdbb9e5b393536968919542c56a2be3e527d62c"},"schema_version":"1.0","source":{"id":"2211.11962","kind":"arxiv","version":3}},"canonical_sha256":"c5fb2cd820fd2b6daad43c6314dce92923ac2c05405ecdff9b9514dfb036e482","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5fb2cd820fd2b6daad43c6314dce92923ac2c05405ecdff9b9514dfb036e482","first_computed_at":"2026-07-05T05:21:28.742866Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:21:28.742866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X/XT1NcvLb/Ap7+EeXi9yYYs4DT/4yTassWLkHcd/XzDJjVeoai/MPivqX8iWRrARK9+soHJqydZrhUycLxJBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:21:28.743293Z","signed_message":"canonical_sha256_bytes"},"source_id":"2211.11962","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2df4727cc9a6771ddd1b82be613c2b9f61fea084bf2a4dbe6c092cb66aa6bf89","sha256:da9dad0be6b9517051f74b375aed878dae9a36aeaa22e5442b9b6563306b117c"],"state_sha256":"d83e66889a1e6ff615799ecd4e44771052204b61e4cc5f613b70887794a4660f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0O7JHerpzPK4tFyTjMY0MX8Xw7GMrI1gcxds9Icz69kOCTiumgRejJvSddSqlmN/iv40nCSu0eGmZGp6AVJfDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T13:33:41.193708Z","bundle_sha256":"d5f5a7e91fda86cc5016da4e716800721cd0e22efa2d716c18be2870bb507ade"}}