{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:YKCU4X7YZLL6VI4GFX3NQEOLOR","short_pith_number":"pith:YKCU4X7Y","canonical_record":{"source":{"id":"2201.12094","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-28T13:04:54Z","cross_cats_sorted":[],"title_canon_sha256":"4e86e2529d0ef454ac5c20a0389911d29f56bb1e23db2fd08240c349c36f5215","abstract_canon_sha256":"220db7aaabc50047d6f500f80f35e5206f305bdbf3f2a9a079430f1a599d7f8a"},"schema_version":"1.0"},"canonical_sha256":"c2854e5ff8cad7eaa3862df6d811cb746e2567482cae4eb1b46b1629e85878aa","source":{"kind":"arxiv","id":"2201.12094","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.12094","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"2201.12094v2","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.12094","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"YKCU4X7YZLL6","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"pith_short_16","alias_value":"YKCU4X7YZLL6VI4G","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"pith_short_8","alias_value":"YKCU4X7Y","created_at":"2026-07-05T05:17:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:YKCU4X7YZLL6VI4GFX3NQEOLOR","target":"record","payload":{"canonical_record":{"source":{"id":"2201.12094","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-28T13:04:54Z","cross_cats_sorted":[],"title_canon_sha256":"4e86e2529d0ef454ac5c20a0389911d29f56bb1e23db2fd08240c349c36f5215","abstract_canon_sha256":"220db7aaabc50047d6f500f80f35e5206f305bdbf3f2a9a079430f1a599d7f8a"},"schema_version":"1.0"},"canonical_sha256":"c2854e5ff8cad7eaa3862df6d811cb746e2567482cae4eb1b46b1629e85878aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:17:44.310374Z","signature_b64":"39ZFDOyQ7mZsMG16A+kZMD9z4xdd918oBu0V1FGHEh+/uDfF/lBFbBWoNxp+JLD5R9RWVWd3DCSSPLvqAP6KDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2854e5ff8cad7eaa3862df6d811cb746e2567482cae4eb1b46b1629e85878aa","last_reissued_at":"2026-07-05T05:17:44.309881Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:17:44.309881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2201.12094","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":"2026-07-05T05:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"otzf9L9C16eQwXiq2bWIag0/6lIPEMMP6+M8BSCYgkxqphMuD6091a+e+UdNBx9gCk+5a0p4SK0sdo+qvdH0BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:24:42.840491Z"},"content_sha256":"e3a577620785e07e5214a94382c200d28eddb8e59de592e0bcee3b31455199ed","schema_version":"1.0","event_id":"sha256:e3a577620785e07e5214a94382c200d28eddb8e59de592e0bcee3b31455199ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:YKCU4X7YZLL6VI4GFX3NQEOLOR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Inlier Correspondences Proportion for Point Cloud Registration","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changwei Lin, Haining Guan, Lifa Zhu, Renmin Han","submitted_at":"2022-01-28T13:04:54Z","abstract_excerpt":"In feature-learning based point cloud registration, the correct correspondence construction is vital for the subsequent transformation estimation. However, it is still a challenge to extract discriminative features from point cloud, especially when the input is partial and composed by indistinguishable surfaces (planes, smooth surfaces, etc.). As a result, the proportion of inlier correspondences that precisely match points between two unaligned point clouds is beyond satisfaction. Motivated by this, we devise several techniques to promote feature-learning based point cloud registration perfor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.12094","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/2201.12094/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":"2026-07-05T05:17:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1DvJ2pFNAEsKcEY62zLhdpGnYli+oSkpHjq36w7+BfTzvZRfEsWXipVwC54m/7irRWjxuMCZmz8tabYR5Y28Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T20:24:42.840856Z"},"content_sha256":"ab440a2235af13b77f22328132846330c774168f00b0ed5ea7d17fa73901545b","schema_version":"1.0","event_id":"sha256:ab440a2235af13b77f22328132846330c774168f00b0ed5ea7d17fa73901545b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YKCU4X7YZLL6VI4GFX3NQEOLOR/bundle.json","state_url":"https://pith.science/pith/YKCU4X7YZLL6VI4GFX3NQEOLOR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YKCU4X7YZLL6VI4GFX3NQEOLOR/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":"2026-07-06T20:24:42Z","links":{"resolver":"https://pith.science/pith/YKCU4X7YZLL6VI4GFX3NQEOLOR","bundle":"https://pith.science/pith/YKCU4X7YZLL6VI4GFX3NQEOLOR/bundle.json","state":"https://pith.science/pith/YKCU4X7YZLL6VI4GFX3NQEOLOR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YKCU4X7YZLL6VI4GFX3NQEOLOR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:YKCU4X7YZLL6VI4GFX3NQEOLOR","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":"220db7aaabc50047d6f500f80f35e5206f305bdbf3f2a9a079430f1a599d7f8a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-28T13:04:54Z","title_canon_sha256":"4e86e2529d0ef454ac5c20a0389911d29f56bb1e23db2fd08240c349c36f5215"},"schema_version":"1.0","source":{"id":"2201.12094","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2201.12094","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"arxiv_version","alias_value":"2201.12094v2","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2201.12094","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"pith_short_12","alias_value":"YKCU4X7YZLL6","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"pith_short_16","alias_value":"YKCU4X7YZLL6VI4G","created_at":"2026-07-05T05:17:44Z"},{"alias_kind":"pith_short_8","alias_value":"YKCU4X7Y","created_at":"2026-07-05T05:17:44Z"}],"graph_snapshots":[{"event_id":"sha256:ab440a2235af13b77f22328132846330c774168f00b0ed5ea7d17fa73901545b","target":"graph","created_at":"2026-07-05T05:17:44Z","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/2201.12094/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In feature-learning based point cloud registration, the correct correspondence construction is vital for the subsequent transformation estimation. However, it is still a challenge to extract discriminative features from point cloud, especially when the input is partial and composed by indistinguishable surfaces (planes, smooth surfaces, etc.). As a result, the proportion of inlier correspondences that precisely match points between two unaligned point clouds is beyond satisfaction. Motivated by this, we devise several techniques to promote feature-learning based point cloud registration perfor","authors_text":"Changwei Lin, Haining Guan, Lifa Zhu, Renmin Han","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-28T13:04:54Z","title":"Leveraging Inlier Correspondences Proportion for Point Cloud Registration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2201.12094","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:e3a577620785e07e5214a94382c200d28eddb8e59de592e0bcee3b31455199ed","target":"record","created_at":"2026-07-05T05:17:44Z","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":"220db7aaabc50047d6f500f80f35e5206f305bdbf3f2a9a079430f1a599d7f8a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-01-28T13:04:54Z","title_canon_sha256":"4e86e2529d0ef454ac5c20a0389911d29f56bb1e23db2fd08240c349c36f5215"},"schema_version":"1.0","source":{"id":"2201.12094","kind":"arxiv","version":2}},"canonical_sha256":"c2854e5ff8cad7eaa3862df6d811cb746e2567482cae4eb1b46b1629e85878aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2854e5ff8cad7eaa3862df6d811cb746e2567482cae4eb1b46b1629e85878aa","first_computed_at":"2026-07-05T05:17:44.309881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:17:44.309881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"39ZFDOyQ7mZsMG16A+kZMD9z4xdd918oBu0V1FGHEh+/uDfF/lBFbBWoNxp+JLD5R9RWVWd3DCSSPLvqAP6KDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:17:44.310374Z","signed_message":"canonical_sha256_bytes"},"source_id":"2201.12094","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e3a577620785e07e5214a94382c200d28eddb8e59de592e0bcee3b31455199ed","sha256:ab440a2235af13b77f22328132846330c774168f00b0ed5ea7d17fa73901545b"],"state_sha256":"9b777e570c603fdacb152c008d85bee7e6945f33f6335782e32e7da788bfa268"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KZ+cxheJjj8PVSZN0jWHaAmN+OOa4JU3Sdh3XoG+/AKH9lgWw/u22Gv16vi8jjobNQk4tJ6611tXABYflv1KDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T20:24:42.842775Z","bundle_sha256":"5714058f6e7938725cb8133b7ad5555322b6af57f66aecb76775e3ce80670797"}}