{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:CUO24G4WNNWZTCM5UDEDODOW7H","short_pith_number":"pith:CUO24G4W","canonical_record":{"source":{"id":"1912.05163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-11T08:13:36Z","cross_cats_sorted":[],"title_canon_sha256":"d854da9226e8815a8f3fc0c9ebd454a7eea383ffae3d00a0f5d22ebee8661842","abstract_canon_sha256":"6f7fef84eaaa1656defc0e6b5af5f14c07fcdda223656ebcc1dd6b944733dd2e"},"schema_version":"1.0"},"canonical_sha256":"151dae1b966b6d99899da0c8370dd6f9d1526ef03fe75b0471311230b915df7b","source":{"kind":"arxiv","id":"1912.05163","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.05163","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"arxiv_version","alias_value":"1912.05163v1","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.05163","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"pith_short_12","alias_value":"CUO24G4WNNWZ","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"pith_short_16","alias_value":"CUO24G4WNNWZTCM5","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"pith_short_8","alias_value":"CUO24G4W","created_at":"2026-07-05T00:25:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:CUO24G4WNNWZTCM5UDEDODOW7H","target":"record","payload":{"canonical_record":{"source":{"id":"1912.05163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-11T08:13:36Z","cross_cats_sorted":[],"title_canon_sha256":"d854da9226e8815a8f3fc0c9ebd454a7eea383ffae3d00a0f5d22ebee8661842","abstract_canon_sha256":"6f7fef84eaaa1656defc0e6b5af5f14c07fcdda223656ebcc1dd6b944733dd2e"},"schema_version":"1.0"},"canonical_sha256":"151dae1b966b6d99899da0c8370dd6f9d1526ef03fe75b0471311230b915df7b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:25:32.987389Z","signature_b64":"nFi+lG/jsJ6KTBqNL6MmzQtsvT4CNk0MlgE4gK4Tdklu6HroD6XGwL45zBW7KgzoxnGnbcpDIcBumjhsEAP1Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"151dae1b966b6d99899da0c8370dd6f9d1526ef03fe75b0471311230b915df7b","last_reissued_at":"2026-07-05T00:25:32.986825Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:25:32.986825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.05163","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:25:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yTfiusk5bXwcAsPW/chkfw4tSZPt/+S3TxCPjQrsTQvMBNxwWUw3eeIYZExpK6kmzV4gUegq6XHlWVVwUc5aAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:35:14.752289Z"},"content_sha256":"a4f1ccc17e33cfb8dc8e24de0e333ab19c1c60a9a41316cdeaf3b71f11798e94","schema_version":"1.0","event_id":"sha256:a4f1ccc17e33cfb8dc8e24de0e333ab19c1c60a9a41316cdeaf3b71f11798e94"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:CUO24G4WNNWZTCM5UDEDODOW7H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ruolan Hu, Tengteng Huang, Xiang Bai, Xin Zhao, Yu Zhou, Zhe Liu","submitted_at":"2019-12-11T08:13:36Z","abstract_excerpt":"In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches. We observe two crucial phenomena: 1) the detection accuracy of the hard objects, e.g., Pedestrians, is unsatisfactory, 2) when adding additional noise points, the performance of existing approaches decreases rapidly. To alleviate these problems, a novel TANet is introduced in this paper, which mainly contains a Triple Attention (TA) module, and a Coarse-to-Fine Regression (CFR) module. By considering the channel-wise, point-wise and voxel-wise "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.05163","kind":"arxiv","version":1},"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/1912.05163/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":"2026-07-05T00:25:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kd+Pb0NfSUkh7NGiV/CRKWZ/450bYvzGUtwHyjVu0LC72j+xTJwE+029WjD+sQFaEtTl91aSJi3JE0lpcaFDDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T11:35:14.752660Z"},"content_sha256":"be071978b1f4544ded42afad9aa347b040bd5288eb3c71f12ed29c83b429650c","schema_version":"1.0","event_id":"sha256:be071978b1f4544ded42afad9aa347b040bd5288eb3c71f12ed29c83b429650c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CUO24G4WNNWZTCM5UDEDODOW7H/bundle.json","state_url":"https://pith.science/pith/CUO24G4WNNWZTCM5UDEDODOW7H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CUO24G4WNNWZTCM5UDEDODOW7H/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":"2026-08-22T11:35:14Z","links":{"resolver":"https://pith.science/pith/CUO24G4WNNWZTCM5UDEDODOW7H","bundle":"https://pith.science/pith/CUO24G4WNNWZTCM5UDEDODOW7H/bundle.json","state":"https://pith.science/pith/CUO24G4WNNWZTCM5UDEDODOW7H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CUO24G4WNNWZTCM5UDEDODOW7H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CUO24G4WNNWZTCM5UDEDODOW7H","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":"6f7fef84eaaa1656defc0e6b5af5f14c07fcdda223656ebcc1dd6b944733dd2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-11T08:13:36Z","title_canon_sha256":"d854da9226e8815a8f3fc0c9ebd454a7eea383ffae3d00a0f5d22ebee8661842"},"schema_version":"1.0","source":{"id":"1912.05163","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.05163","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"arxiv_version","alias_value":"1912.05163v1","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.05163","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"pith_short_12","alias_value":"CUO24G4WNNWZ","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"pith_short_16","alias_value":"CUO24G4WNNWZTCM5","created_at":"2026-07-05T00:25:32Z"},{"alias_kind":"pith_short_8","alias_value":"CUO24G4W","created_at":"2026-07-05T00:25:32Z"}],"graph_snapshots":[{"event_id":"sha256:be071978b1f4544ded42afad9aa347b040bd5288eb3c71f12ed29c83b429650c","target":"graph","created_at":"2026-07-05T00:25:32Z","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/1912.05163/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we focus on exploring the robustness of the 3D object detection in point clouds, which has been rarely discussed in existing approaches. We observe two crucial phenomena: 1) the detection accuracy of the hard objects, e.g., Pedestrians, is unsatisfactory, 2) when adding additional noise points, the performance of existing approaches decreases rapidly. To alleviate these problems, a novel TANet is introduced in this paper, which mainly contains a Triple Attention (TA) module, and a Coarse-to-Fine Regression (CFR) module. By considering the channel-wise, point-wise and voxel-wise ","authors_text":"Ruolan Hu, Tengteng Huang, Xiang Bai, Xin Zhao, Yu Zhou, Zhe Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-11T08:13:36Z","title":"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.05163","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:a4f1ccc17e33cfb8dc8e24de0e333ab19c1c60a9a41316cdeaf3b71f11798e94","target":"record","created_at":"2026-07-05T00:25:32Z","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":"6f7fef84eaaa1656defc0e6b5af5f14c07fcdda223656ebcc1dd6b944733dd2e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-11T08:13:36Z","title_canon_sha256":"d854da9226e8815a8f3fc0c9ebd454a7eea383ffae3d00a0f5d22ebee8661842"},"schema_version":"1.0","source":{"id":"1912.05163","kind":"arxiv","version":1}},"canonical_sha256":"151dae1b966b6d99899da0c8370dd6f9d1526ef03fe75b0471311230b915df7b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"151dae1b966b6d99899da0c8370dd6f9d1526ef03fe75b0471311230b915df7b","first_computed_at":"2026-07-05T00:25:32.986825Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:25:32.986825Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nFi+lG/jsJ6KTBqNL6MmzQtsvT4CNk0MlgE4gK4Tdklu6HroD6XGwL45zBW7KgzoxnGnbcpDIcBumjhsEAP1Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:25:32.987389Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.05163","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4f1ccc17e33cfb8dc8e24de0e333ab19c1c60a9a41316cdeaf3b71f11798e94","sha256:be071978b1f4544ded42afad9aa347b040bd5288eb3c71f12ed29c83b429650c"],"state_sha256":"8e65082123af5688834bed84545e2ab2e111225168eb9cf7da1ae49bee52faeb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"09+zENbohYasRs0Lt8U7DPK+2B1ctwcZdVgreAP1zAEEpcYQ5DmwNQsr7iHqqXNC8638tg7dwQOE5NFHWXxTAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T11:35:14.755216Z","bundle_sha256":"25ac8ff308d5107f64079b39b31722e636da3a86ef53f2a1a097ab629fd174d7"}}