{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MEXRSQVTNSBETJIG3HBEOF6FQJ","short_pith_number":"pith:MEXRSQVT","canonical_record":{"source":{"id":"1901.02508","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-01-08T20:41:49Z","cross_cats_sorted":["cs.CG","cs.CV"],"title_canon_sha256":"b8aaf7d40b7331fe34064cdcb9bd954a0e09583aa40a95eeebbd1decfd740c60","abstract_canon_sha256":"e74da7198110015eda35bd33aa8e394054720813560594e8e3dbef9d911d921e"},"schema_version":"1.0"},"canonical_sha256":"612f1942b36c8249a506d9c24717c58276d46af6938a8162e3b73e3afca0e6ca","source":{"kind":"arxiv","id":"1901.02508","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02508","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02508v1","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02508","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"MEXRSQVTNSBE","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MEXRSQVTNSBETJIG","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MEXRSQVT","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MEXRSQVTNSBETJIG3HBEOF6FQJ","target":"record","payload":{"canonical_record":{"source":{"id":"1901.02508","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-01-08T20:41:49Z","cross_cats_sorted":["cs.CG","cs.CV"],"title_canon_sha256":"b8aaf7d40b7331fe34064cdcb9bd954a0e09583aa40a95eeebbd1decfd740c60","abstract_canon_sha256":"e74da7198110015eda35bd33aa8e394054720813560594e8e3dbef9d911d921e"},"schema_version":"1.0"},"canonical_sha256":"612f1942b36c8249a506d9c24717c58276d46af6938a8162e3b73e3afca0e6ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:56:40.325884Z","signature_b64":"MwJ1NsYxAU/Iz5/Q8biP9hakcgRqFvsKTBSDey7yYnuRk5C04xcGLZDn+3WyIJQ/uE+um4khN2d08IZCw2QbAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"612f1942b36c8249a506d9c24717c58276d46af6938a8162e3b73e3afca0e6ca","last_reissued_at":"2026-05-17T23:56:40.325221Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:56:40.325221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.02508","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":"2026-05-17T23:56:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dYCNWtoRwijYxLL6gg2OrVw8QJ4fDQ7WC3jVBOwX+VcTvwXvp2N79I7NKKQ6O27gTRsrEyrsqE1Pr8nHQWscCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-18T21:18:16.639431Z"},"content_sha256":"54e78652a87b0984279e799bfe386e42760ede3cec2bf39709ac6550a6e4968b","schema_version":"1.0","event_id":"sha256:54e78652a87b0984279e799bfe386e42760ede3cec2bf39709ac6550a6e4968b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MEXRSQVTNSBETJIG3HBEOF6FQJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Application of Manifold Learning in Global Shape Descriptors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CG","cs.CV"],"primary_cat":"cs.GR","authors_text":"Fereshteh S. Bashiri, Peggy Peissig, Reihaneh Rostami, Roshan M. D'Souza, Zeyun Yu","submitted_at":"2019-01-08T20:41:49Z","abstract_excerpt":"With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and efficient) shape retrieval and 3D model classification. Several spectral-based shape descriptors have been introduced by solving various physical equations over a 3D surface model. In this paper, for the first time, we incorporate a specific group of techniques in statistics and machine learning, known as manifold learning, to develop a global shape"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02508","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":"2026-05-17T23:56:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6IuItiMIzhdY463SUNMB3oPOupQJvoFdSYjYfHLR6wmMQVPhpOLvr0Cxn+YTgzjnEQEtyjys1fExdaVQ8wmqBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-18T21:18:16.640006Z"},"content_sha256":"5f16ff55146bdd6d21ee0fe137a549fb6299226a39a8b2fc1b527f244ec5e6c0","schema_version":"1.0","event_id":"sha256:5f16ff55146bdd6d21ee0fe137a549fb6299226a39a8b2fc1b527f244ec5e6c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MEXRSQVTNSBETJIG3HBEOF6FQJ/bundle.json","state_url":"https://pith.science/pith/MEXRSQVTNSBETJIG3HBEOF6FQJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MEXRSQVTNSBETJIG3HBEOF6FQJ/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":"2026-05-18T21:18:16Z","links":{"resolver":"https://pith.science/pith/MEXRSQVTNSBETJIG3HBEOF6FQJ","bundle":"https://pith.science/pith/MEXRSQVTNSBETJIG3HBEOF6FQJ/bundle.json","state":"https://pith.science/pith/MEXRSQVTNSBETJIG3HBEOF6FQJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MEXRSQVTNSBETJIG3HBEOF6FQJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MEXRSQVTNSBETJIG3HBEOF6FQJ","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":"e74da7198110015eda35bd33aa8e394054720813560594e8e3dbef9d911d921e","cross_cats_sorted":["cs.CG","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-01-08T20:41:49Z","title_canon_sha256":"b8aaf7d40b7331fe34064cdcb9bd954a0e09583aa40a95eeebbd1decfd740c60"},"schema_version":"1.0","source":{"id":"1901.02508","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.02508","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"arxiv_version","alias_value":"1901.02508v1","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.02508","created_at":"2026-05-17T23:56:40Z"},{"alias_kind":"pith_short_12","alias_value":"MEXRSQVTNSBE","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MEXRSQVTNSBETJIG","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MEXRSQVT","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:5f16ff55146bdd6d21ee0fe137a549fb6299226a39a8b2fc1b527f244ec5e6c0","target":"graph","created_at":"2026-05-17T23:56:40Z","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":"With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and efficient) shape retrieval and 3D model classification. Several spectral-based shape descriptors have been introduced by solving various physical equations over a 3D surface model. In this paper, for the first time, we incorporate a specific group of techniques in statistics and machine learning, known as manifold learning, to develop a global shape","authors_text":"Fereshteh S. Bashiri, Peggy Peissig, Reihaneh Rostami, Roshan M. D'Souza, Zeyun Yu","cross_cats":["cs.CG","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-01-08T20:41:49Z","title":"An Application of Manifold Learning in Global Shape Descriptors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.02508","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":"sha256:54e78652a87b0984279e799bfe386e42760ede3cec2bf39709ac6550a6e4968b","target":"record","created_at":"2026-05-17T23:56:40Z","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":"e74da7198110015eda35bd33aa8e394054720813560594e8e3dbef9d911d921e","cross_cats_sorted":["cs.CG","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2019-01-08T20:41:49Z","title_canon_sha256":"b8aaf7d40b7331fe34064cdcb9bd954a0e09583aa40a95eeebbd1decfd740c60"},"schema_version":"1.0","source":{"id":"1901.02508","kind":"arxiv","version":1}},"canonical_sha256":"612f1942b36c8249a506d9c24717c58276d46af6938a8162e3b73e3afca0e6ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"612f1942b36c8249a506d9c24717c58276d46af6938a8162e3b73e3afca0e6ca","first_computed_at":"2026-05-17T23:56:40.325221Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:56:40.325221Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MwJ1NsYxAU/Iz5/Q8biP9hakcgRqFvsKTBSDey7yYnuRk5C04xcGLZDn+3WyIJQ/uE+um4khN2d08IZCw2QbAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:56:40.325884Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.02508","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54e78652a87b0984279e799bfe386e42760ede3cec2bf39709ac6550a6e4968b","sha256:5f16ff55146bdd6d21ee0fe137a549fb6299226a39a8b2fc1b527f244ec5e6c0"],"state_sha256":"5220b73ba6012b4610006b7d61f568f0d6702d0e273e67dcd81befd629ea690c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5RILWiNQMP1ri/ZAU2cP2d9I10oTyUTgOs1AWRQeItqMmdn52lAmaPNJF+SPZRP0RHxTS9nmMuzG/g7FQGVOAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-18T21:18:16.641822Z","bundle_sha256":"2bb341992c811401bc258ef5e37eeb0758d9aa33fef3510694304a367dc6c39c"}}