{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:Z6TQVPMPIOGT4FWIRIGLQZPJRZ","short_pith_number":"pith:Z6TQVPMP","canonical_record":{"source":{"id":"1709.06868","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-20T13:56:34Z","cross_cats_sorted":[],"title_canon_sha256":"de8e504b4b894c930b0e61782d2c4142a591d6ab42448c25e845b7a1ae32a3b7","abstract_canon_sha256":"bfb6ad1e5c14cbb4dc9ac064591cfdf66b770270811be87ab0cf43fb899ebbe8"},"schema_version":"1.0"},"canonical_sha256":"cfa70abd8f438d3e16c88a0cb865e98e78b9d81c048112fcbc1003b9942dcac6","source":{"kind":"arxiv","id":"1709.06868","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.06868","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"1709.06868v1","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.06868","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"Z6TQVPMPIOGT","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"Z6TQVPMPIOGT4FWI","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"Z6TQVPMP","created_at":"2026-05-18T12:31:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:Z6TQVPMPIOGT4FWIRIGLQZPJRZ","target":"record","payload":{"canonical_record":{"source":{"id":"1709.06868","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-20T13:56:34Z","cross_cats_sorted":[],"title_canon_sha256":"de8e504b4b894c930b0e61782d2c4142a591d6ab42448c25e845b7a1ae32a3b7","abstract_canon_sha256":"bfb6ad1e5c14cbb4dc9ac064591cfdf66b770270811be87ab0cf43fb899ebbe8"},"schema_version":"1.0"},"canonical_sha256":"cfa70abd8f438d3e16c88a0cb865e98e78b9d81c048112fcbc1003b9942dcac6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:34:40.213519Z","signature_b64":"nXUIaOq0ZMSsn3/wrXRoCg4Bqj41cRdXuXuOWmKjSgO3OKQHcDicx6g7/NqrfQSjXpyje3RVP4XcHZpV4+i6Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cfa70abd8f438d3e16c88a0cb865e98e78b9d81c048112fcbc1003b9942dcac6","last_reissued_at":"2026-05-18T00:34:40.212878Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:34:40.212878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.06868","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":"2026-05-18T00:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LsWNyDHvucZmIaJh7SQR7YFrqysFlmxITvkEo3PCyv8+7OxGllsGxnczcvArKVCY9/uKu9SZI74o/TDY7wI7Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T14:08:36.804582Z"},"content_sha256":"baee01beff267539ba9da7ef9fb35d95d281e79a9f2c902905c34e8f3b79f41b","schema_version":"1.0","event_id":"sha256:baee01beff267539ba9da7ef9fb35d95d281e79a9f2c902905c34e8f3b79f41b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:Z6TQVPMPIOGT4FWIRIGLQZPJRZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning quadrangulated patches for 3D shape parameterization and completion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Didier Stricker, Kiran Varanasi, Kripasindhu Sarkar","submitted_at":"2017-09-20T13:56:34Z","abstract_excerpt":"We propose a novel 3D shape parameterization by surface patches, that are oriented by 3D mesh quadrangulation of the shape. By encoding 3D surface detail on local patches, we learn a patch dictionary that identifies principal surface features of the shape. Unlike previous methods, we are able to encode surface patches of variable size as determined by the user. We propose novel methods for dictionary learning and patch reconstruction based on the query of a noisy input patch with holes. We evaluate the patch dictionary towards various applications in 3D shape inpainting, denoising and compress"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.06868","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":""},"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":"2026-05-18T00:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NReyALt7d4WotEzMZuJW9MSe6rs6vTrfUkbmJXiElvQKpIJv9y6BUW+3fWOG2x6iiDFpHVUKYOLwub9AUbhzAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T14:08:36.805298Z"},"content_sha256":"ff9a38d98c016b1099ea825e6b005cf6df26a7a89e3b14b621bcc746b2ac6303","schema_version":"1.0","event_id":"sha256:ff9a38d98c016b1099ea825e6b005cf6df26a7a89e3b14b621bcc746b2ac6303"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Z6TQVPMPIOGT4FWIRIGLQZPJRZ/bundle.json","state_url":"https://pith.science/pith/Z6TQVPMPIOGT4FWIRIGLQZPJRZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Z6TQVPMPIOGT4FWIRIGLQZPJRZ/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":"2026-06-07T14:08:36Z","links":{"resolver":"https://pith.science/pith/Z6TQVPMPIOGT4FWIRIGLQZPJRZ","bundle":"https://pith.science/pith/Z6TQVPMPIOGT4FWIRIGLQZPJRZ/bundle.json","state":"https://pith.science/pith/Z6TQVPMPIOGT4FWIRIGLQZPJRZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Z6TQVPMPIOGT4FWIRIGLQZPJRZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:Z6TQVPMPIOGT4FWIRIGLQZPJRZ","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":"bfb6ad1e5c14cbb4dc9ac064591cfdf66b770270811be87ab0cf43fb899ebbe8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-20T13:56:34Z","title_canon_sha256":"de8e504b4b894c930b0e61782d2c4142a591d6ab42448c25e845b7a1ae32a3b7"},"schema_version":"1.0","source":{"id":"1709.06868","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.06868","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"1709.06868v1","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.06868","created_at":"2026-05-18T00:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"Z6TQVPMPIOGT","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"Z6TQVPMPIOGT4FWI","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"Z6TQVPMP","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:ff9a38d98c016b1099ea825e6b005cf6df26a7a89e3b14b621bcc746b2ac6303","target":"graph","created_at":"2026-05-18T00:34:40Z","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":"We propose a novel 3D shape parameterization by surface patches, that are oriented by 3D mesh quadrangulation of the shape. By encoding 3D surface detail on local patches, we learn a patch dictionary that identifies principal surface features of the shape. Unlike previous methods, we are able to encode surface patches of variable size as determined by the user. We propose novel methods for dictionary learning and patch reconstruction based on the query of a noisy input patch with holes. We evaluate the patch dictionary towards various applications in 3D shape inpainting, denoising and compress","authors_text":"Didier Stricker, Kiran Varanasi, Kripasindhu Sarkar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-20T13:56:34Z","title":"Learning quadrangulated patches for 3D shape parameterization and completion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.06868","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:baee01beff267539ba9da7ef9fb35d95d281e79a9f2c902905c34e8f3b79f41b","target":"record","created_at":"2026-05-18T00:34:40Z","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":"bfb6ad1e5c14cbb4dc9ac064591cfdf66b770270811be87ab0cf43fb899ebbe8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-20T13:56:34Z","title_canon_sha256":"de8e504b4b894c930b0e61782d2c4142a591d6ab42448c25e845b7a1ae32a3b7"},"schema_version":"1.0","source":{"id":"1709.06868","kind":"arxiv","version":1}},"canonical_sha256":"cfa70abd8f438d3e16c88a0cb865e98e78b9d81c048112fcbc1003b9942dcac6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cfa70abd8f438d3e16c88a0cb865e98e78b9d81c048112fcbc1003b9942dcac6","first_computed_at":"2026-05-18T00:34:40.212878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:40.212878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nXUIaOq0ZMSsn3/wrXRoCg4Bqj41cRdXuXuOWmKjSgO3OKQHcDicx6g7/NqrfQSjXpyje3RVP4XcHZpV4+i6Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:40.213519Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.06868","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:baee01beff267539ba9da7ef9fb35d95d281e79a9f2c902905c34e8f3b79f41b","sha256:ff9a38d98c016b1099ea825e6b005cf6df26a7a89e3b14b621bcc746b2ac6303"],"state_sha256":"0848c8fb3158749075fa25707458ab6273d937afdd2cfee844712da0535a6f70"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bifGcJhrLgyQxKEXtAzPsXv46o0vSXAJsUjHBzlHorqZoC0kD3tQIH4brAnNoVWYvOadQ7MWNOutCol2kZdjDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T14:08:36.809504Z","bundle_sha256":"6e2a65790de326cab4fb89e4717292b808bf8a8db8d2b565c26a098cc9f869ec"}}