{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:FSKOODZ7CFKVAQZGNLRSBAOH4U","short_pith_number":"pith:FSKOODZ7","schema_version":"1.0","canonical_sha256":"2c94e70f3f11555043266ae32081c7e51f8084ce36e6e6b76be33c9ce2345464","source":{"kind":"arxiv","id":"1906.06142","version":1},"attestation_state":"computed","paper":{"title":"Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida, Taichi Sumi","submitted_at":"2019-06-14T11:53:39Z","abstract_excerpt":"This research attempts to construct a network that can convert online and offline handwritten characters to each other. The proposed network consists of two Variational Auto-Encoders (VAEs) with a shared latent space. The VAEs are trained to generate online and offline handwritten Latin characters simultaneously. In this way, we create a cross-modal VAE (Cross-VAE). During training, the proposed Cross-VAE is trained to minimize the reconstruction loss of the two modalities, the distribution loss of the two VAEs, and a novel third loss called the space sharing loss. This third, space sharing lo"},"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":"1906.06142","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-14T11:53:39Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"68fbf90ae4406f76acab5e7e5a5f4d7934e8249c97fc71e0bf5b8521b52bf5d2","abstract_canon_sha256":"a718011e439d2735e82afcc9347b4897e76970b66cb6c553d8b357ff209590c5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:19.626101Z","signature_b64":"aH95/HWeUEOjyoqtqn48aPTHQ69IcCC453MrcYljnYJ7400O8MsYaAh1H+26XUg8p1cbpEgdVYLl9j7Q5tSdBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c94e70f3f11555043266ae32081c7e51f8084ce36e6e6b76be33c9ce2345464","last_reissued_at":"2026-05-17T23:43:19.625518Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:19.625518Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Brian Kenji Iwana, Hideaki Hayashi, Seiichi Uchida, Taichi Sumi","submitted_at":"2019-06-14T11:53:39Z","abstract_excerpt":"This research attempts to construct a network that can convert online and offline handwritten characters to each other. The proposed network consists of two Variational Auto-Encoders (VAEs) with a shared latent space. The VAEs are trained to generate online and offline handwritten Latin characters simultaneously. In this way, we create a cross-modal VAE (Cross-VAE). During training, the proposed Cross-VAE is trained to minimize the reconstruction loss of the two modalities, the distribution loss of the two VAEs, and a novel third loss called the space sharing loss. This third, space sharing lo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.06142","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1906.06142","created_at":"2026-05-17T23:43:19.625606+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.06142v1","created_at":"2026-05-17T23:43:19.625606+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.06142","created_at":"2026-05-17T23:43:19.625606+00:00"},{"alias_kind":"pith_short_12","alias_value":"FSKOODZ7CFKV","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_16","alias_value":"FSKOODZ7CFKVAQZG","created_at":"2026-05-18T12:33:15.570797+00:00"},{"alias_kind":"pith_short_8","alias_value":"FSKOODZ7","created_at":"2026-05-18T12:33:15.570797+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/FSKOODZ7CFKVAQZGNLRSBAOH4U","json":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U.json","graph_json":"https://pith.science/api/pith-number/FSKOODZ7CFKVAQZGNLRSBAOH4U/graph.json","events_json":"https://pith.science/api/pith-number/FSKOODZ7CFKVAQZGNLRSBAOH4U/events.json","paper":"https://pith.science/paper/FSKOODZ7"},"agent_actions":{"view_html":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U","download_json":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U.json","view_paper":"https://pith.science/paper/FSKOODZ7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.06142&json=true","fetch_graph":"https://pith.science/api/pith-number/FSKOODZ7CFKVAQZGNLRSBAOH4U/graph.json","fetch_events":"https://pith.science/api/pith-number/FSKOODZ7CFKVAQZGNLRSBAOH4U/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U/action/storage_attestation","attest_author":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U/action/author_attestation","sign_citation":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U/action/citation_signature","submit_replication":"https://pith.science/pith/FSKOODZ7CFKVAQZGNLRSBAOH4U/action/replication_record"}},"created_at":"2026-05-17T23:43:19.625606+00:00","updated_at":"2026-05-17T23:43:19.625606+00:00"}