{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EAWPSQEXUR4WPE53DGNJTQI6AE","short_pith_number":"pith:EAWPSQEX","canonical_record":{"source":{"id":"2202.11456","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T12:13:27Z","cross_cats_sorted":[],"title_canon_sha256":"7bec8b1f45780a5f4cfc9800196a079fb1465ecec2f55845be7985463a3ece17","abstract_canon_sha256":"0fdf5d59e691eea247c66c32c48ea11c994ca6091ec4a30e12e72761487ede2c"},"schema_version":"1.0"},"canonical_sha256":"202cf94097a4796793bb199a99c11e012c962454157a04478b4303577924707b","source":{"kind":"arxiv","id":"2202.11456","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11456","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11456v1","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11456","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"pith_short_12","alias_value":"EAWPSQEXUR4W","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"pith_short_16","alias_value":"EAWPSQEXUR4WPE53","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"pith_short_8","alias_value":"EAWPSQEX","created_at":"2026-07-05T03:59:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EAWPSQEXUR4WPE53DGNJTQI6AE","target":"record","payload":{"canonical_record":{"source":{"id":"2202.11456","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T12:13:27Z","cross_cats_sorted":[],"title_canon_sha256":"7bec8b1f45780a5f4cfc9800196a079fb1465ecec2f55845be7985463a3ece17","abstract_canon_sha256":"0fdf5d59e691eea247c66c32c48ea11c994ca6091ec4a30e12e72761487ede2c"},"schema_version":"1.0"},"canonical_sha256":"202cf94097a4796793bb199a99c11e012c962454157a04478b4303577924707b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:59:32.948901Z","signature_b64":"Ed+AltAkStbLuwIq3iapxoqVSEos89G8B3VPLZ7VGDs07FYHCwDLigW07bPtGc6X1xn3y1DddJD2gliZb/zfDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"202cf94097a4796793bb199a99c11e012c962454157a04478b4303577924707b","last_reissued_at":"2026-07-05T03:59:32.948437Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:59:32.948437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.11456","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":"2026-07-05T03:59:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c2ILvqDUx4LkSi/NmmIcpZfgQEtuCutQhTpLk2A4tbzaKUlnELogmHXTjiWZws17Qg7F1QeQQAwxcX6Pc3btCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:40:41.812881Z"},"content_sha256":"3f816fd1d16237b1f6976b8ce15ec7fbf6d7f570bc747b828d572dfa512630e3","schema_version":"1.0","event_id":"sha256:3f816fd1d16237b1f6976b8ce15ec7fbf6d7f570bc747b828d572dfa512630e3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EAWPSQEXUR4WPE53DGNJTQI6AE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Canjie Luo, Dezhi Peng, Lianwen Jin, Yuanzhi Zhu, Zhe Li","submitted_at":"2022-02-23T12:13:27Z","abstract_excerpt":"Large amounts of labeled data are urgently required for the training of robust text recognizers. However, collecting handwriting data of diverse styles, along with an immense lexicon, is considerably expensive. Although data synthesis is a promising way to relieve data hunger, two key issues of handwriting synthesis, namely, style representation and content embedding, remain unsolved. To this end, we propose a novel method that can synthesize parameterized and controllable handwriting Styles for arbitrary-Length and Out-of-vocabulary text based on a Generative Adversarial Network (GAN), termed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11456","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2202.11456/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T03:59:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NrauPrY+9xZQzv5bzMIj9cdbz9v5JiSiTkeWpDnydDDCpXF75nC7v2idMeE7gPSdSoLdVf0Uj0Bqhb/Rn7cQAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:40:41.813824Z"},"content_sha256":"8e49e2948e4aecf566e4a9324b278a6a43d1f6f0e2a96d598d20551ecab8ad85","schema_version":"1.0","event_id":"sha256:8e49e2948e4aecf566e4a9324b278a6a43d1f6f0e2a96d598d20551ecab8ad85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EAWPSQEXUR4WPE53DGNJTQI6AE/bundle.json","state_url":"https://pith.science/pith/EAWPSQEXUR4WPE53DGNJTQI6AE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EAWPSQEXUR4WPE53DGNJTQI6AE/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":"2026-08-10T01:40:41Z","links":{"resolver":"https://pith.science/pith/EAWPSQEXUR4WPE53DGNJTQI6AE","bundle":"https://pith.science/pith/EAWPSQEXUR4WPE53DGNJTQI6AE/bundle.json","state":"https://pith.science/pith/EAWPSQEXUR4WPE53DGNJTQI6AE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EAWPSQEXUR4WPE53DGNJTQI6AE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EAWPSQEXUR4WPE53DGNJTQI6AE","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":"0fdf5d59e691eea247c66c32c48ea11c994ca6091ec4a30e12e72761487ede2c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T12:13:27Z","title_canon_sha256":"7bec8b1f45780a5f4cfc9800196a079fb1465ecec2f55845be7985463a3ece17"},"schema_version":"1.0","source":{"id":"2202.11456","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11456","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11456v1","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11456","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"pith_short_12","alias_value":"EAWPSQEXUR4W","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"pith_short_16","alias_value":"EAWPSQEXUR4WPE53","created_at":"2026-07-05T03:59:32Z"},{"alias_kind":"pith_short_8","alias_value":"EAWPSQEX","created_at":"2026-07-05T03:59:32Z"}],"graph_snapshots":[{"event_id":"sha256:8e49e2948e4aecf566e4a9324b278a6a43d1f6f0e2a96d598d20551ecab8ad85","target":"graph","created_at":"2026-07-05T03:59:32Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2202.11456/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large amounts of labeled data are urgently required for the training of robust text recognizers. However, collecting handwriting data of diverse styles, along with an immense lexicon, is considerably expensive. Although data synthesis is a promising way to relieve data hunger, two key issues of handwriting synthesis, namely, style representation and content embedding, remain unsolved. To this end, we propose a novel method that can synthesize parameterized and controllable handwriting Styles for arbitrary-Length and Out-of-vocabulary text based on a Generative Adversarial Network (GAN), termed","authors_text":"Canjie Luo, Dezhi Peng, Lianwen Jin, Yuanzhi Zhu, Zhe Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T12:13:27Z","title":"SLOGAN: Handwriting Style Synthesis for Arbitrary-Length and Out-of-Vocabulary Text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11456","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":"sha256:3f816fd1d16237b1f6976b8ce15ec7fbf6d7f570bc747b828d572dfa512630e3","target":"record","created_at":"2026-07-05T03:59:32Z","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":"0fdf5d59e691eea247c66c32c48ea11c994ca6091ec4a30e12e72761487ede2c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T12:13:27Z","title_canon_sha256":"7bec8b1f45780a5f4cfc9800196a079fb1465ecec2f55845be7985463a3ece17"},"schema_version":"1.0","source":{"id":"2202.11456","kind":"arxiv","version":1}},"canonical_sha256":"202cf94097a4796793bb199a99c11e012c962454157a04478b4303577924707b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"202cf94097a4796793bb199a99c11e012c962454157a04478b4303577924707b","first_computed_at":"2026-07-05T03:59:32.948437Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:32.948437Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ed+AltAkStbLuwIq3iapxoqVSEos89G8B3VPLZ7VGDs07FYHCwDLigW07bPtGc6X1xn3y1DddJD2gliZb/zfDg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:32.948901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.11456","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f816fd1d16237b1f6976b8ce15ec7fbf6d7f570bc747b828d572dfa512630e3","sha256:8e49e2948e4aecf566e4a9324b278a6a43d1f6f0e2a96d598d20551ecab8ad85"],"state_sha256":"775cb42b5bc73dc67797a4e4d33d836b4d77cfe9dd49cd15e18ce24a89e6b129"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ZeaZyxLrlHCOWxZwZnpX/1VZnEkqMfh7q4Iauhj5e1IfCndhX7lpkx+YBvmdk2X4vhWRiTvVZ9cQoCUR5XmAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T01:40:41.819147Z","bundle_sha256":"40ef164c137f7b28290febb1dec028627225b55b135d61867b6bd5b224bff534"}}