{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:AH4KK3L4QMENNFSB77O76FBDXD","short_pith_number":"pith:AH4KK3L4","canonical_record":{"source":{"id":"2107.14230","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-29T17:59:54Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"05941bedadff25d6a5c8d64881e5a922860faafd180499837ad16084a9430835","abstract_canon_sha256":"1df7265dd9392e1ce3e8c4b6ac7d3abeb434aacc3af52069dea8964086a9d65e"},"schema_version":"1.0"},"canonical_sha256":"01f8a56d7c8308d69641ffddff1423b8e33b618970bf9eb32b08e86b575222f6","source":{"kind":"arxiv","id":"2107.14230","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.14230","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"arxiv_version","alias_value":"2107.14230v2","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.14230","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"pith_short_12","alias_value":"AH4KK3L4QMEN","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"pith_short_16","alias_value":"AH4KK3L4QMENNFSB","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"pith_short_8","alias_value":"AH4KK3L4","created_at":"2026-07-05T03:03:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:AH4KK3L4QMENNFSB77O76FBDXD","target":"record","payload":{"canonical_record":{"source":{"id":"2107.14230","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-29T17:59:54Z","cross_cats_sorted":["cs.GR"],"title_canon_sha256":"05941bedadff25d6a5c8d64881e5a922860faafd180499837ad16084a9430835","abstract_canon_sha256":"1df7265dd9392e1ce3e8c4b6ac7d3abeb434aacc3af52069dea8964086a9d65e"},"schema_version":"1.0"},"canonical_sha256":"01f8a56d7c8308d69641ffddff1423b8e33b618970bf9eb32b08e86b575222f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:03:29.789406Z","signature_b64":"0Rqs/bLQEiVEgaoypzQh7YDDt9zOr+ScJcwBLT2xwOJvBO0uFbKcy58KukbtiIjWT57nuin4/poO+UL79KPHCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01f8a56d7c8308d69641ffddff1423b8e33b618970bf9eb32b08e86b575222f6","last_reissued_at":"2026-07-05T03:03:29.788921Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:03:29.788921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.14230","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:03:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UMq2BHLLa58Ty+IfbF+Y/5e+UU9U1kjEoav4kEkhJmx4Jf4puKt09fUnbRe+HYvlBW4UzzMrcFQPwPMqg8sgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:53:29.586671Z"},"content_sha256":"ab9f81dba32e4ea4ef029335e258c698a427a4d43f8a74f1bf8ada5d55e3c56e","schema_version":"1.0","event_id":"sha256:ab9f81dba32e4ea4ef029335e258c698a427a4d43f8a74f1bf8ada5d55e3c56e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:AH4KK3L4QMENNFSB77O76FBDXD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning with Noisy Labels for Robust Point Cloud Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR"],"primary_cat":"cs.CV","authors_text":"Dongdong Chen, Jing Liao, Shuquan Ye, Songfang Han","submitted_at":"2021-07-29T17:59:54Z","abstract_excerpt":"Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on the clean label assumptions may fail with noisy labels. Yet, object class labels are often mislabeled in real-world point cloud datasets. In this work, we take the lead in solving this issue by proposing a novel Point Noise-Adaptive Learning (PNAL) framework. Compared to existing noise-robust methods on image tasks, our PNAL is noise-rate blind, to cope with the spatially variant noise rate problem specific to point cl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.14230","kind":"arxiv","version":2},"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/2107.14230/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":"2026-07-05T03:03:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JpaBO5LNJnBe0v4cUSjZFRWxT8yXfCGKJcslq9EOOf22L1dNpzGwOKp0dC9U6qlxhTTbXHUkCYn1jxM82XUUCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:53:29.589651Z"},"content_sha256":"69b5320aa3d88a9199eb59ec7cdf24168a0e626f9abb12fd4ff98304cf85f203","schema_version":"1.0","event_id":"sha256:69b5320aa3d88a9199eb59ec7cdf24168a0e626f9abb12fd4ff98304cf85f203"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AH4KK3L4QMENNFSB77O76FBDXD/bundle.json","state_url":"https://pith.science/pith/AH4KK3L4QMENNFSB77O76FBDXD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AH4KK3L4QMENNFSB77O76FBDXD/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":"2026-08-03T19:53:29Z","links":{"resolver":"https://pith.science/pith/AH4KK3L4QMENNFSB77O76FBDXD","bundle":"https://pith.science/pith/AH4KK3L4QMENNFSB77O76FBDXD/bundle.json","state":"https://pith.science/pith/AH4KK3L4QMENNFSB77O76FBDXD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AH4KK3L4QMENNFSB77O76FBDXD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:AH4KK3L4QMENNFSB77O76FBDXD","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":"1df7265dd9392e1ce3e8c4b6ac7d3abeb434aacc3af52069dea8964086a9d65e","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-29T17:59:54Z","title_canon_sha256":"05941bedadff25d6a5c8d64881e5a922860faafd180499837ad16084a9430835"},"schema_version":"1.0","source":{"id":"2107.14230","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.14230","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"arxiv_version","alias_value":"2107.14230v2","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.14230","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"pith_short_12","alias_value":"AH4KK3L4QMEN","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"pith_short_16","alias_value":"AH4KK3L4QMENNFSB","created_at":"2026-07-05T03:03:29Z"},{"alias_kind":"pith_short_8","alias_value":"AH4KK3L4","created_at":"2026-07-05T03:03:29Z"}],"graph_snapshots":[{"event_id":"sha256:69b5320aa3d88a9199eb59ec7cdf24168a0e626f9abb12fd4ff98304cf85f203","target":"graph","created_at":"2026-07-05T03:03:29Z","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/2107.14230/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Point cloud segmentation is a fundamental task in 3D. Despite recent progress on point cloud segmentation with the power of deep networks, current deep learning methods based on the clean label assumptions may fail with noisy labels. Yet, object class labels are often mislabeled in real-world point cloud datasets. In this work, we take the lead in solving this issue by proposing a novel Point Noise-Adaptive Learning (PNAL) framework. Compared to existing noise-robust methods on image tasks, our PNAL is noise-rate blind, to cope with the spatially variant noise rate problem specific to point cl","authors_text":"Dongdong Chen, Jing Liao, Shuquan Ye, Songfang Han","cross_cats":["cs.GR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-29T17:59:54Z","title":"Learning with Noisy Labels for Robust Point Cloud Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.14230","kind":"arxiv","version":2},"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:ab9f81dba32e4ea4ef029335e258c698a427a4d43f8a74f1bf8ada5d55e3c56e","target":"record","created_at":"2026-07-05T03:03:29Z","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":"1df7265dd9392e1ce3e8c4b6ac7d3abeb434aacc3af52069dea8964086a9d65e","cross_cats_sorted":["cs.GR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-07-29T17:59:54Z","title_canon_sha256":"05941bedadff25d6a5c8d64881e5a922860faafd180499837ad16084a9430835"},"schema_version":"1.0","source":{"id":"2107.14230","kind":"arxiv","version":2}},"canonical_sha256":"01f8a56d7c8308d69641ffddff1423b8e33b618970bf9eb32b08e86b575222f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01f8a56d7c8308d69641ffddff1423b8e33b618970bf9eb32b08e86b575222f6","first_computed_at":"2026-07-05T03:03:29.788921Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:03:29.788921Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0Rqs/bLQEiVEgaoypzQh7YDDt9zOr+ScJcwBLT2xwOJvBO0uFbKcy58KukbtiIjWT57nuin4/poO+UL79KPHCg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:03:29.789406Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.14230","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab9f81dba32e4ea4ef029335e258c698a427a4d43f8a74f1bf8ada5d55e3c56e","sha256:69b5320aa3d88a9199eb59ec7cdf24168a0e626f9abb12fd4ff98304cf85f203"],"state_sha256":"d5c22e08aa56b4e8f55222f11b02c3285ca36c957c4bb6b80acbcf191663a9e9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"44vVc1lto4qoUCKdGSyNi7SurWMIEPXSDIGNusEEAPrPLUNqtDN73d5uzLz9yKfKEyumrIXuYRwN/CFZ2CbVBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:53:29.616739Z","bundle_sha256":"0e1b4d52d24fe9588a2ee6f5b272c6140fd0bcda4e7bb15c0b4b9056c4c013ff"}}