{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NURFG7AEJZ7U7DI7D4JP6DQZ6E","short_pith_number":"pith:NURFG7AE","canonical_record":{"source":{"id":"2412.15853","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T12:48:58Z","cross_cats_sorted":[],"title_canon_sha256":"e4d4eb466353e8d694054c98feaf7c6ee9a310ffcc6c9602c9cf87920d4ac5e0","abstract_canon_sha256":"22d1fbf3ab371cdaf85e60ea2ace0e3d880829d35d57313e2839047e8a9aa5e3"},"schema_version":"1.0"},"canonical_sha256":"6d22537c044e7f4f8d1f1f12ff0e19f10858529f53cae83a7931aff457b29adc","source":{"kind":"arxiv","id":"2412.15853","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15853","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15853v1","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15853","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"NURFG7AEJZ7U","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_16","alias_value":"NURFG7AEJZ7U7DI7","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_8","alias_value":"NURFG7AE","created_at":"2026-07-05T09:52:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NURFG7AEJZ7U7DI7D4JP6DQZ6E","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15853","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T12:48:58Z","cross_cats_sorted":[],"title_canon_sha256":"e4d4eb466353e8d694054c98feaf7c6ee9a310ffcc6c9602c9cf87920d4ac5e0","abstract_canon_sha256":"22d1fbf3ab371cdaf85e60ea2ace0e3d880829d35d57313e2839047e8a9aa5e3"},"schema_version":"1.0"},"canonical_sha256":"6d22537c044e7f4f8d1f1f12ff0e19f10858529f53cae83a7931aff457b29adc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:31.235066Z","signature_b64":"UbyzXihEXNBzzIHGkW/vTGpX60gHNWnC0j2bDKRY7IZVzM4Nmz2Tc1zl6o/2oTyizqYpohu7fjsAJCMQtOFsBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d22537c044e7f4f8d1f1f12ff0e19f10858529f53cae83a7931aff457b29adc","last_reissued_at":"2026-07-05T09:52:31.234583Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:31.234583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15853","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":"2026-07-05T09:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LgGyg/E7RHkbz7bp2oedCuh13s56AfWawwiHHCqTxtOFExuCvQz9A7RPqRJtpkyD3Q8DM2ZgSCr2mjKhoLsEBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:33:32.392354Z"},"content_sha256":"e22f7c6aa5538c7b39d7e32f91750f06be3826defd7994fa763fad3a359fd095","schema_version":"1.0","event_id":"sha256:e22f7c6aa5538c7b39d7e32f91750f06be3826defd7994fa763fad3a359fd095"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NURFG7AEJZ7U7DI7D4JP6DQZ6E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semi-Supervised Adaptation of Diffusion Models for Handwritten Text Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kai Brandenbusch","submitted_at":"2024-12-20T12:48:58Z","abstract_excerpt":"The generation of images of realistic looking, readable handwritten text is a challenging task which is referred to as handwritten text generation (HTG). Given a string and examples from a writer, the goal is to synthesize an image depicting the correctly spelled word in handwriting with the calligraphic style of the desired writer. An important application of HTG is the generation of training images in order to adapt downstream models for new data sets. With their success in natural image generation, diffusion models (DMs) have become the state-of-the-art approach in HTG. In this work, we pre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15853","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/2412.15853/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":"2026-07-05T09:52:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hnHGk4VzmFVouQYr3NxngCnJ2/7i5ziU68jRhm8HfTKw5DWKuKoE2Bsy8mvWMsRIb+QZ6wcrK2YcrJKYYA74Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:33:32.392903Z"},"content_sha256":"2d85f315fe09c30730021b470e695e1dd787a1540adde496f4d1ecd7c9407089","schema_version":"1.0","event_id":"sha256:2d85f315fe09c30730021b470e695e1dd787a1540adde496f4d1ecd7c9407089"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NURFG7AEJZ7U7DI7D4JP6DQZ6E/bundle.json","state_url":"https://pith.science/pith/NURFG7AEJZ7U7DI7D4JP6DQZ6E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NURFG7AEJZ7U7DI7D4JP6DQZ6E/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":"2026-08-07T00:33:32Z","links":{"resolver":"https://pith.science/pith/NURFG7AEJZ7U7DI7D4JP6DQZ6E","bundle":"https://pith.science/pith/NURFG7AEJZ7U7DI7D4JP6DQZ6E/bundle.json","state":"https://pith.science/pith/NURFG7AEJZ7U7DI7D4JP6DQZ6E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NURFG7AEJZ7U7DI7D4JP6DQZ6E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NURFG7AEJZ7U7DI7D4JP6DQZ6E","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":"22d1fbf3ab371cdaf85e60ea2ace0e3d880829d35d57313e2839047e8a9aa5e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T12:48:58Z","title_canon_sha256":"e4d4eb466353e8d694054c98feaf7c6ee9a310ffcc6c9602c9cf87920d4ac5e0"},"schema_version":"1.0","source":{"id":"2412.15853","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15853","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15853v1","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15853","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_12","alias_value":"NURFG7AEJZ7U","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_16","alias_value":"NURFG7AEJZ7U7DI7","created_at":"2026-07-05T09:52:31Z"},{"alias_kind":"pith_short_8","alias_value":"NURFG7AE","created_at":"2026-07-05T09:52:31Z"}],"graph_snapshots":[{"event_id":"sha256:2d85f315fe09c30730021b470e695e1dd787a1540adde496f4d1ecd7c9407089","target":"graph","created_at":"2026-07-05T09:52:31Z","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/2412.15853/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The generation of images of realistic looking, readable handwritten text is a challenging task which is referred to as handwritten text generation (HTG). Given a string and examples from a writer, the goal is to synthesize an image depicting the correctly spelled word in handwriting with the calligraphic style of the desired writer. An important application of HTG is the generation of training images in order to adapt downstream models for new data sets. With their success in natural image generation, diffusion models (DMs) have become the state-of-the-art approach in HTG. In this work, we pre","authors_text":"Kai Brandenbusch","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T12:48:58Z","title":"Semi-Supervised Adaptation of Diffusion Models for Handwritten Text Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15853","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:e22f7c6aa5538c7b39d7e32f91750f06be3826defd7994fa763fad3a359fd095","target":"record","created_at":"2026-07-05T09:52:31Z","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":"22d1fbf3ab371cdaf85e60ea2ace0e3d880829d35d57313e2839047e8a9aa5e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-20T12:48:58Z","title_canon_sha256":"e4d4eb466353e8d694054c98feaf7c6ee9a310ffcc6c9602c9cf87920d4ac5e0"},"schema_version":"1.0","source":{"id":"2412.15853","kind":"arxiv","version":1}},"canonical_sha256":"6d22537c044e7f4f8d1f1f12ff0e19f10858529f53cae83a7931aff457b29adc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d22537c044e7f4f8d1f1f12ff0e19f10858529f53cae83a7931aff457b29adc","first_computed_at":"2026-07-05T09:52:31.234583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:31.234583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UbyzXihEXNBzzIHGkW/vTGpX60gHNWnC0j2bDKRY7IZVzM4Nmz2Tc1zl6o/2oTyizqYpohu7fjsAJCMQtOFsBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:31.235066Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15853","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e22f7c6aa5538c7b39d7e32f91750f06be3826defd7994fa763fad3a359fd095","sha256:2d85f315fe09c30730021b470e695e1dd787a1540adde496f4d1ecd7c9407089"],"state_sha256":"031d094bb422410b619eb5c575810abc9009d244ec9e33388ece69de736f16d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v8U1c9bAWSV3tRzJP+uKiCatFOr1qS3lEf8nMVtzdC58/+mYoBWQfW9oyshg13AANfgjABp1Prbg2MApRJ1YCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T00:33:32.396966Z","bundle_sha256":"39db0884a2e529dd1da4fd5e8a856b629b5e58e205bcd0b2b0f7a9fd8af24f31"}}