{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:4BU5OCVOWIIRHDZUQUFOZTNBLX","short_pith_number":"pith:4BU5OCVO","schema_version":"1.0","canonical_sha256":"e069d70aaeb211138f34850aeccda15dfc8ff47590368615b33d40ec52c67699","source":{"kind":"arxiv","id":"1712.00268","version":4},"attestation_state":"computed","paper":{"title":"Deformable Shape Completion with Graph Convolutional Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alex Bronstein, Ameesh Makadia, Michael Bronstein, Or Litany","submitted_at":"2017-12-01T10:34:19Z","abstract_excerpt":"The availability of affordable and portable depth sensors has made scanning objects and people simpler than ever. However, dealing with occlusions and missing parts is still a significant challenge. The problem of reconstructing a (possibly non-rigidly moving) 3D object from a single or multiple partial scans has received increasing attention in recent years. In this work, we propose a novel learning-based method for the completion of partial shapes. Unlike the majority of existing approaches, our method focuses on objects that can undergo non-rigid deformations. The core of our method is a va"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1712.00268","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-01T10:34:19Z","cross_cats_sorted":[],"title_canon_sha256":"43058a4068c2f40b8dfffdb796d175fcc8bdd2ae6f61f544de6c0853fa60fb99","abstract_canon_sha256":"021b8a5588a31cc7def205928525477ef727c5f30740a9c2d3d58e0542751ce8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:19:16.783415Z","signature_b64":"u/KJtNZymJHjtgqxV+8HxNRbkN7Xd+1lgcJxsQNPVYEOpsdN0J3bSduopUEOyHqeshmmoYZFoIN2LWEIF1j8AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e069d70aaeb211138f34850aeccda15dfc8ff47590368615b33d40ec52c67699","last_reissued_at":"2026-05-18T00:19:16.782648Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:19:16.782648Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Deformable Shape Completion with Graph Convolutional Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alex Bronstein, Ameesh Makadia, Michael Bronstein, Or Litany","submitted_at":"2017-12-01T10:34:19Z","abstract_excerpt":"The availability of affordable and portable depth sensors has made scanning objects and people simpler than ever. However, dealing with occlusions and missing parts is still a significant challenge. The problem of reconstructing a (possibly non-rigidly moving) 3D object from a single or multiple partial scans has received increasing attention in recent years. In this work, we propose a novel learning-based method for the completion of partial shapes. Unlike the majority of existing approaches, our method focuses on objects that can undergo non-rigid deformations. The core of our method is a va"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00268","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1712.00268","created_at":"2026-05-18T00:19:16.782762+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.00268v4","created_at":"2026-05-18T00:19:16.782762+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00268","created_at":"2026-05-18T00:19:16.782762+00:00"},{"alias_kind":"pith_short_12","alias_value":"4BU5OCVOWIIR","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_16","alias_value":"4BU5OCVOWIIRHDZU","created_at":"2026-05-18T12:30:58.224056+00:00"},{"alias_kind":"pith_short_8","alias_value":"4BU5OCVO","created_at":"2026-05-18T12:30:58.224056+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX","json":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX.json","graph_json":"https://pith.science/api/pith-number/4BU5OCVOWIIRHDZUQUFOZTNBLX/graph.json","events_json":"https://pith.science/api/pith-number/4BU5OCVOWIIRHDZUQUFOZTNBLX/events.json","paper":"https://pith.science/paper/4BU5OCVO"},"agent_actions":{"view_html":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX","download_json":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX.json","view_paper":"https://pith.science/paper/4BU5OCVO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.00268&json=true","fetch_graph":"https://pith.science/api/pith-number/4BU5OCVOWIIRHDZUQUFOZTNBLX/graph.json","fetch_events":"https://pith.science/api/pith-number/4BU5OCVOWIIRHDZUQUFOZTNBLX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX/action/storage_attestation","attest_author":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX/action/author_attestation","sign_citation":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX/action/citation_signature","submit_replication":"https://pith.science/pith/4BU5OCVOWIIRHDZUQUFOZTNBLX/action/replication_record"}},"created_at":"2026-05-18T00:19:16.782762+00:00","updated_at":"2026-05-18T00:19:16.782762+00:00"}