{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:2APT3SYNSMOWRAHDI2EPHSWMC5","short_pith_number":"pith:2APT3SYN","canonical_record":{"source":{"id":"2012.10217","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-18T13:23:34Z","cross_cats_sorted":[],"title_canon_sha256":"853fe8bcd56fb3a5ffad1bf4713fd2347d505c451567dc26a7c951a6b48e64b0","abstract_canon_sha256":"874f5ba675e22b43808622532436e14cb86af66707c59cb66e7494349fd0b3ce"},"schema_version":"1.0"},"canonical_sha256":"d01f3dcb0d931d6880e34688f3cacc17799cc6b8a5b1d982d3a5f810468d10f9","source":{"kind":"arxiv","id":"2012.10217","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.10217","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"arxiv_version","alias_value":"2012.10217v5","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.10217","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"pith_short_12","alias_value":"2APT3SYNSMOW","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"pith_short_16","alias_value":"2APT3SYNSMOWRAHD","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"pith_short_8","alias_value":"2APT3SYN","created_at":"2026-07-05T04:42:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:2APT3SYNSMOWRAHDI2EPHSWMC5","target":"record","payload":{"canonical_record":{"source":{"id":"2012.10217","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-18T13:23:34Z","cross_cats_sorted":[],"title_canon_sha256":"853fe8bcd56fb3a5ffad1bf4713fd2347d505c451567dc26a7c951a6b48e64b0","abstract_canon_sha256":"874f5ba675e22b43808622532436e14cb86af66707c59cb66e7494349fd0b3ce"},"schema_version":"1.0"},"canonical_sha256":"d01f3dcb0d931d6880e34688f3cacc17799cc6b8a5b1d982d3a5f810468d10f9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:42:53.635422Z","signature_b64":"uJqQrZq47etrreb5yrhZTdsfcpxxH8DyF7gP1ApW6Fl9JHbOLbMIdXMr22cLBjnZVZPLw1/MLoRxtCo6fVdODg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d01f3dcb0d931d6880e34688f3cacc17799cc6b8a5b1d982d3a5f810468d10f9","last_reissued_at":"2026-07-05T04:42:53.634983Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:42:53.634983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.10217","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:42:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BZTAKv/TMKyQa/CQHWs4iF1/3lR5xTDNwTgZdrz22PrcvuhANGTmWrax2FXUSKxCWXf48Plf3WEiOr8FH9oDCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T22:39:29.910514Z"},"content_sha256":"bc4eab088a35c64b5801afd9e048e4a9b15b96e91f4ba6c7585bfa230d2c76e9","schema_version":"1.0","event_id":"sha256:bc4eab088a35c64b5801afd9e048e4a9b15b96e91f4ba6c7585bfa230d2c76e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:2APT3SYNSMOWRAHDI2EPHSWMC5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"An Tao, Jie Zhou, Jiwen Lu, Yi Wei, Yueqi Duan","submitted_at":"2020-12-18T13:23:34Z","abstract_excerpt":"Most existing point cloud instance and semantic segmentation methods rely heavily on strong supervision signals, which require point-level labels for every point in the scene. However, such strong supervision suffers from large annotation costs, arousing the need to study efficient annotating. In this paper, we discover that the locations of instances matter for both instance and semantic 3D scene segmentation. By fully taking advantage of locations, we design a weakly-supervised point cloud segmentation method that only requires clicking on one point per instance to indicate its location for "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.10217","kind":"arxiv","version":5},"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/2012.10217/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":"2026-07-05T04:42:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jhdMlq4WT4iDnDXXVUOEEGpP3moDZGdWFZp4cAWBFl8a/hDCgjDArSg0PPkWN1fngL/F0XsxKRf6sMZfDGPwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T22:39:29.910878Z"},"content_sha256":"2d55c49ac76e6969c2c4149e37bfd085d0a228d98b1f837e7f0d721c17195c7c","schema_version":"1.0","event_id":"sha256:2d55c49ac76e6969c2c4149e37bfd085d0a228d98b1f837e7f0d721c17195c7c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2APT3SYNSMOWRAHDI2EPHSWMC5/bundle.json","state_url":"https://pith.science/pith/2APT3SYNSMOWRAHDI2EPHSWMC5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2APT3SYNSMOWRAHDI2EPHSWMC5/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":"2026-07-13T22:39:29Z","links":{"resolver":"https://pith.science/pith/2APT3SYNSMOWRAHDI2EPHSWMC5","bundle":"https://pith.science/pith/2APT3SYNSMOWRAHDI2EPHSWMC5/bundle.json","state":"https://pith.science/pith/2APT3SYNSMOWRAHDI2EPHSWMC5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2APT3SYNSMOWRAHDI2EPHSWMC5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:2APT3SYNSMOWRAHDI2EPHSWMC5","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":"874f5ba675e22b43808622532436e14cb86af66707c59cb66e7494349fd0b3ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-18T13:23:34Z","title_canon_sha256":"853fe8bcd56fb3a5ffad1bf4713fd2347d505c451567dc26a7c951a6b48e64b0"},"schema_version":"1.0","source":{"id":"2012.10217","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.10217","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"arxiv_version","alias_value":"2012.10217v5","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.10217","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"pith_short_12","alias_value":"2APT3SYNSMOW","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"pith_short_16","alias_value":"2APT3SYNSMOWRAHD","created_at":"2026-07-05T04:42:53Z"},{"alias_kind":"pith_short_8","alias_value":"2APT3SYN","created_at":"2026-07-05T04:42:53Z"}],"graph_snapshots":[{"event_id":"sha256:2d55c49ac76e6969c2c4149e37bfd085d0a228d98b1f837e7f0d721c17195c7c","target":"graph","created_at":"2026-07-05T04:42:53Z","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/2012.10217/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most existing point cloud instance and semantic segmentation methods rely heavily on strong supervision signals, which require point-level labels for every point in the scene. However, such strong supervision suffers from large annotation costs, arousing the need to study efficient annotating. In this paper, we discover that the locations of instances matter for both instance and semantic 3D scene segmentation. By fully taking advantage of locations, we design a weakly-supervised point cloud segmentation method that only requires clicking on one point per instance to indicate its location for ","authors_text":"An Tao, Jie Zhou, Jiwen Lu, Yi Wei, Yueqi Duan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-18T13:23:34Z","title":"SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.10217","kind":"arxiv","version":5},"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:bc4eab088a35c64b5801afd9e048e4a9b15b96e91f4ba6c7585bfa230d2c76e9","target":"record","created_at":"2026-07-05T04:42:53Z","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":"874f5ba675e22b43808622532436e14cb86af66707c59cb66e7494349fd0b3ce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-12-18T13:23:34Z","title_canon_sha256":"853fe8bcd56fb3a5ffad1bf4713fd2347d505c451567dc26a7c951a6b48e64b0"},"schema_version":"1.0","source":{"id":"2012.10217","kind":"arxiv","version":5}},"canonical_sha256":"d01f3dcb0d931d6880e34688f3cacc17799cc6b8a5b1d982d3a5f810468d10f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d01f3dcb0d931d6880e34688f3cacc17799cc6b8a5b1d982d3a5f810468d10f9","first_computed_at":"2026-07-05T04:42:53.634983Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:42:53.634983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uJqQrZq47etrreb5yrhZTdsfcpxxH8DyF7gP1ApW6Fl9JHbOLbMIdXMr22cLBjnZVZPLw1/MLoRxtCo6fVdODg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:42:53.635422Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.10217","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc4eab088a35c64b5801afd9e048e4a9b15b96e91f4ba6c7585bfa230d2c76e9","sha256:2d55c49ac76e6969c2c4149e37bfd085d0a228d98b1f837e7f0d721c17195c7c"],"state_sha256":"9f36d7731c77939151e28a4a00fbb08af6fb8c1fe89a92f6f5c5b4756a5f5361"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nziMTrIYnx8tchkmdcT2gyN+JhHpJuvT37bNovUrGI5A1c/jTpWDNkHdZrPcJ2OISIvXElUfnmE1kPac3xmGAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T22:39:29.913232Z","bundle_sha256":"d0d522c305b9998c6d4030e2d91e10f47da215d6adc9b6fffc1700e4c9be956f"}}