{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:XVCG3KLKJYKRYM2MSXRS2BWFEZ","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":"e78607ee60bfb3b19eb96cfdef0282c8a35a8d9680320b59a7115316456fc3cf","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2015-11-16T10:34:25Z","title_canon_sha256":"6e361e4ce1db5d7feed70d0279dec6f34d46d4e3fca086e8c0c02453cfc38ff0"},"schema_version":"1.0","source":{"id":"1511.04902","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1511.04902","created_at":"2026-05-18T01:26:51Z"},{"alias_kind":"arxiv_version","alias_value":"1511.04902v1","created_at":"2026-05-18T01:26:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1511.04902","created_at":"2026-05-18T01:26:51Z"},{"alias_kind":"pith_short_12","alias_value":"XVCG3KLKJYKR","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_16","alias_value":"XVCG3KLKJYKRYM2M","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_8","alias_value":"XVCG3KLK","created_at":"2026-05-18T12:29:50Z"}],"graph_snapshots":[{"event_id":"sha256:3438fd7ad096695d331d7a7bd53d7d06bbddb98f8e636cdf4c8e5d9cfbfb31bf","target":"graph","created_at":"2026-05-18T01:26:51Z","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"},"paper":{"abstract_excerpt":"Noisy 3D point clouds arise in many applications. They may be due to errors when constructing a 3D model from images or simply to imprecise depth sensors. Point clouds can be given geometrical structure using graphs created from the similarity information between points. This paper introduces a technique that uses this graph structure and convex optimization methods to denoise 3D point clouds. A short discussion presents how those methods naturally generalize to time-varying inputs such as 3D point cloud time series.","authors_text":"Johan Paratte, Pierre Vandergheynst, Yann Schoenenberger","cross_cats":["cs.GR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2015-11-16T10:34:25Z","title":"Graph-based denoising for time-varying point clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1511.04902","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:d5655524594f319b4f0d0db062fb667da045102fe442429b357d5923f75dc064","target":"record","created_at":"2026-05-18T01:26:51Z","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":"e78607ee60bfb3b19eb96cfdef0282c8a35a8d9680320b59a7115316456fc3cf","cross_cats_sorted":["cs.GR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2015-11-16T10:34:25Z","title_canon_sha256":"6e361e4ce1db5d7feed70d0279dec6f34d46d4e3fca086e8c0c02453cfc38ff0"},"schema_version":"1.0","source":{"id":"1511.04902","kind":"arxiv","version":1}},"canonical_sha256":"bd446da96a4e151c334c95e32d06c526631a620968eb21b52bbb42d81766d7f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bd446da96a4e151c334c95e32d06c526631a620968eb21b52bbb42d81766d7f5","first_computed_at":"2026-05-18T01:26:51.348830Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:26:51.348830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qrrcb+T8tXTmAtyaw4nfzhwcekh+BxQxxW2+017BfNwXc+g4pdn3O0OO9fJcQ2lGhji6C2eHdM06boB0ej3hCA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:26:51.349522Z","signed_message":"canonical_sha256_bytes"},"source_id":"1511.04902","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5655524594f319b4f0d0db062fb667da045102fe442429b357d5923f75dc064","sha256:3438fd7ad096695d331d7a7bd53d7d06bbddb98f8e636cdf4c8e5d9cfbfb31bf"],"state_sha256":"161acb3e7fdd482c545cabe5cb16b88a676badc0120413ce2936ff3a3f67c87d"}