{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:HKDBNN6XYJMPIHJRRKRD6B7DMZ","short_pith_number":"pith:HKDBNN6X","canonical_record":{"source":{"id":"2105.01919","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T08:07:21Z","cross_cats_sorted":[],"title_canon_sha256":"757696c798cc7bb4db93b3250785243460de980ff31fd75c7fe0a80e77536a6a","abstract_canon_sha256":"dad612f1b492e521b0cc4fa420d75477fa6dc508cb3577820690ad63d1542b81"},"schema_version":"1.0"},"canonical_sha256":"3a8616b7d7c258f41d318aa23f07e3666c8df8a40ba4da53beda4a4b8c3639d1","source":{"kind":"arxiv","id":"2105.01919","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.01919","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"arxiv_version","alias_value":"2105.01919v1","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.01919","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"pith_short_12","alias_value":"HKDBNN6XYJMP","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"pith_short_16","alias_value":"HKDBNN6XYJMPIHJR","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"pith_short_8","alias_value":"HKDBNN6X","created_at":"2026-07-05T02:37:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:HKDBNN6XYJMPIHJRRKRD6B7DMZ","target":"record","payload":{"canonical_record":{"source":{"id":"2105.01919","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T08:07:21Z","cross_cats_sorted":[],"title_canon_sha256":"757696c798cc7bb4db93b3250785243460de980ff31fd75c7fe0a80e77536a6a","abstract_canon_sha256":"dad612f1b492e521b0cc4fa420d75477fa6dc508cb3577820690ad63d1542b81"},"schema_version":"1.0"},"canonical_sha256":"3a8616b7d7c258f41d318aa23f07e3666c8df8a40ba4da53beda4a4b8c3639d1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:37:50.445539Z","signature_b64":"ijLVDjUUt1FeyInHaVNq5ttXohO8klbOg/4iGdpyTa6+j2phNKLpN/fa2+54p40h0ABIc06RqMd4ZH+ezivQDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a8616b7d7c258f41d318aa23f07e3666c8df8a40ba4da53beda4a4b8c3639d1","last_reissued_at":"2026-07-05T02:37:50.445116Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:37:50.445116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.01919","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":"2026-07-05T02:37:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"US+f47OlR3LfnHX8zb2kZ9y9lfwzCZG9vHGqE4k3EDkVdyVe7c19KKkgr4RgTe0VEqNPZgvS4RyXQHXaTRQ9BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:18:51.382289Z"},"content_sha256":"1a693fd44fd131329e81f5564f11242b4303f9d7e5c23422d2095ba8f7b83e43","schema_version":"1.0","event_id":"sha256:1a693fd44fd131329e81f5564f11242b4303f9d7e5c23422d2095ba8f7b83e43"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:HKDBNN6XYJMPIHJRRKRD6B7DMZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Puzuo Wang, Wei Yao","submitted_at":"2021-05-05T08:07:21Z","abstract_excerpt":"Competitive point cloud semantic segmentation results usually rely on a large amount of labeled data. However, data annotation is a time-consuming and labor-intensive task, particularly for three-dimensional point cloud data. Thus, obtaining accurate results with limited ground truth as training data is considerably important. As a simple and effective method, pseudo labels can use information from unlabeled data for training neural networks. In this study, we propose a pseudo-label-assisted point cloud segmentation method with very few sparsely sampled labels that are normally randomly select"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.01919","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/2105.01919/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":"2026-07-05T02:37:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P5726QY2bvFkb7jx1EwNWtMERk1Z48VQ0jVvtguAGLNfSt3Mc/bIqiIkS9Ez604CdftbxCD8IaI3qWvZpb6jBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T01:18:51.382801Z"},"content_sha256":"10081866c8401b2a60696c68852b76299d2810e5131b30c20a8e2f7db525135b","schema_version":"1.0","event_id":"sha256:10081866c8401b2a60696c68852b76299d2810e5131b30c20a8e2f7db525135b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HKDBNN6XYJMPIHJRRKRD6B7DMZ/bundle.json","state_url":"https://pith.science/pith/HKDBNN6XYJMPIHJRRKRD6B7DMZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HKDBNN6XYJMPIHJRRKRD6B7DMZ/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":"2026-08-05T01:18:51Z","links":{"resolver":"https://pith.science/pith/HKDBNN6XYJMPIHJRRKRD6B7DMZ","bundle":"https://pith.science/pith/HKDBNN6XYJMPIHJRRKRD6B7DMZ/bundle.json","state":"https://pith.science/pith/HKDBNN6XYJMPIHJRRKRD6B7DMZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HKDBNN6XYJMPIHJRRKRD6B7DMZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:HKDBNN6XYJMPIHJRRKRD6B7DMZ","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":"dad612f1b492e521b0cc4fa420d75477fa6dc508cb3577820690ad63d1542b81","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T08:07:21Z","title_canon_sha256":"757696c798cc7bb4db93b3250785243460de980ff31fd75c7fe0a80e77536a6a"},"schema_version":"1.0","source":{"id":"2105.01919","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.01919","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"arxiv_version","alias_value":"2105.01919v1","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.01919","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"pith_short_12","alias_value":"HKDBNN6XYJMP","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"pith_short_16","alias_value":"HKDBNN6XYJMPIHJR","created_at":"2026-07-05T02:37:50Z"},{"alias_kind":"pith_short_8","alias_value":"HKDBNN6X","created_at":"2026-07-05T02:37:50Z"}],"graph_snapshots":[{"event_id":"sha256:10081866c8401b2a60696c68852b76299d2810e5131b30c20a8e2f7db525135b","target":"graph","created_at":"2026-07-05T02:37:50Z","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/2105.01919/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Competitive point cloud semantic segmentation results usually rely on a large amount of labeled data. However, data annotation is a time-consuming and labor-intensive task, particularly for three-dimensional point cloud data. Thus, obtaining accurate results with limited ground truth as training data is considerably important. As a simple and effective method, pseudo labels can use information from unlabeled data for training neural networks. In this study, we propose a pseudo-label-assisted point cloud segmentation method with very few sparsely sampled labels that are normally randomly select","authors_text":"Puzuo Wang, Wei Yao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T08:07:21Z","title":"Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.01919","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":"sha256:1a693fd44fd131329e81f5564f11242b4303f9d7e5c23422d2095ba8f7b83e43","target":"record","created_at":"2026-07-05T02:37:50Z","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":"dad612f1b492e521b0cc4fa420d75477fa6dc508cb3577820690ad63d1542b81","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-05-05T08:07:21Z","title_canon_sha256":"757696c798cc7bb4db93b3250785243460de980ff31fd75c7fe0a80e77536a6a"},"schema_version":"1.0","source":{"id":"2105.01919","kind":"arxiv","version":1}},"canonical_sha256":"3a8616b7d7c258f41d318aa23f07e3666c8df8a40ba4da53beda4a4b8c3639d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a8616b7d7c258f41d318aa23f07e3666c8df8a40ba4da53beda4a4b8c3639d1","first_computed_at":"2026-07-05T02:37:50.445116Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:37:50.445116Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ijLVDjUUt1FeyInHaVNq5ttXohO8klbOg/4iGdpyTa6+j2phNKLpN/fa2+54p40h0ABIc06RqMd4ZH+ezivQDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:37:50.445539Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.01919","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a693fd44fd131329e81f5564f11242b4303f9d7e5c23422d2095ba8f7b83e43","sha256:10081866c8401b2a60696c68852b76299d2810e5131b30c20a8e2f7db525135b"],"state_sha256":"052c1ecd2701eab66998aadb1aca23f9d0fe141f6307b720819d48ef4ae5f38e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kOr/uTe3K3gocICLXaAidxYgMenW8X0z7u8ly4vEZJl83RFp4jRAG5Dfo2M/aZjdlaJCcNnAXlo6OXTM2+7JCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T01:18:51.386396Z","bundle_sha256":"53df5b9a14561328ec9b83a4a0fad85c9b852062020becb8c1ed964611d518fe"}}