{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:B6BPTDMIDOA27IG3WUWRUA2BRH","short_pith_number":"pith:B6BPTDMI","canonical_record":{"source":{"id":"2508.17017","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-23T13:09:19Z","cross_cats_sorted":[],"title_canon_sha256":"29936efab6747a66e3ac3b0bae24c59aa81bf571936d2bc01b484d2c1974480e","abstract_canon_sha256":"07e75204471e1e40d7b371c0ffc3ec5d518eeeda888ee6dcf76e4fa62ed69323"},"schema_version":"1.0"},"canonical_sha256":"0f82f98d881b81afa0dbb52d1a034189ebef806aca0f6b6f6aa082adbcea9207","source":{"kind":"arxiv","id":"2508.17017","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17017","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17017v1","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17017","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"pith_short_12","alias_value":"B6BPTDMIDOA2","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"pith_short_16","alias_value":"B6BPTDMIDOA27IG3","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"pith_short_8","alias_value":"B6BPTDMI","created_at":"2026-07-05T11:58:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:B6BPTDMIDOA27IG3WUWRUA2BRH","target":"record","payload":{"canonical_record":{"source":{"id":"2508.17017","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-23T13:09:19Z","cross_cats_sorted":[],"title_canon_sha256":"29936efab6747a66e3ac3b0bae24c59aa81bf571936d2bc01b484d2c1974480e","abstract_canon_sha256":"07e75204471e1e40d7b371c0ffc3ec5d518eeeda888ee6dcf76e4fa62ed69323"},"schema_version":"1.0"},"canonical_sha256":"0f82f98d881b81afa0dbb52d1a034189ebef806aca0f6b6f6aa082adbcea9207","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:08.214973Z","signature_b64":"JgL730P+Gjf/BZKI4pNN54KcNMkcLJ61UvoX5flakvPSxVM3NL+AW3OW1203TfQkQWdiqv/LkGxITJp8UpBHBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f82f98d881b81afa0dbb52d1a034189ebef806aca0f6b6f6aa082adbcea9207","last_reissued_at":"2026-07-05T11:58:08.214510Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:08.214510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.17017","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":"2026-07-05T11:58:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mvvx/N+iwyb/uhCojFSBNqlZhb7v1sHCgQHz3rarGV/d3hWzqoWandGXnibUGY49TQ5cGLe32mGh6xiYN/0uBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:51:14.004002Z"},"content_sha256":"d2f7acec7cc3e7771ce84422be622a9f1c3dda8ccc60ba5b92cf65e11128d0a1","schema_version":"1.0","event_id":"sha256:d2f7acec7cc3e7771ce84422be622a9f1c3dda8ccc60ba5b92cf65e11128d0a1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:B6BPTDMIDOA27IG3WUWRUA2BRH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dual Orthogonal Guidance for Robust Diffusion-based Handwritten Text Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"George Retsinas, Giorgos Sfikas, Konstantina Nikolaidou, Marcus Liwicki, Rita Cucchiara, Silvia Cascianelli","submitted_at":"2025-08-23T13:09:19Z","abstract_excerpt":"Diffusion-based Handwritten Text Generation (HTG) approaches achieve impressive results on frequent, in-vocabulary words observed at training time and on regular styles. However, they are prone to memorizing training samples and often struggle with style variability and generation clarity. In particular, standard diffusion models tend to produce artifacts or distortions that negatively affect the readability of the generated text, especially when the style is hard to produce. To tackle these issues, we propose a novel sampling guidance strategy, Dual Orthogonal Guidance (DOG), that leverages a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17017","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/2508.17017/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":"2026-07-05T11:58:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FCQxKYN8TkYc2qQz/SSej5DnprAp1NCq/jR7dGISiIAy1HQ9AkFEzb69oAEs2Ulbdr1KMcgSHXu2+PBzCh8/Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:51:14.004497Z"},"content_sha256":"312aab02133eaf4e9cb3aac8b4f4b67b76fc818f2074f85cdcdfe6c94e8cdd9b","schema_version":"1.0","event_id":"sha256:312aab02133eaf4e9cb3aac8b4f4b67b76fc818f2074f85cdcdfe6c94e8cdd9b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B6BPTDMIDOA27IG3WUWRUA2BRH/bundle.json","state_url":"https://pith.science/pith/B6BPTDMIDOA27IG3WUWRUA2BRH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B6BPTDMIDOA27IG3WUWRUA2BRH/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":"2026-08-05T09:51:14Z","links":{"resolver":"https://pith.science/pith/B6BPTDMIDOA27IG3WUWRUA2BRH","bundle":"https://pith.science/pith/B6BPTDMIDOA27IG3WUWRUA2BRH/bundle.json","state":"https://pith.science/pith/B6BPTDMIDOA27IG3WUWRUA2BRH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B6BPTDMIDOA27IG3WUWRUA2BRH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:B6BPTDMIDOA27IG3WUWRUA2BRH","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":"07e75204471e1e40d7b371c0ffc3ec5d518eeeda888ee6dcf76e4fa62ed69323","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-23T13:09:19Z","title_canon_sha256":"29936efab6747a66e3ac3b0bae24c59aa81bf571936d2bc01b484d2c1974480e"},"schema_version":"1.0","source":{"id":"2508.17017","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.17017","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"arxiv_version","alias_value":"2508.17017v1","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.17017","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"pith_short_12","alias_value":"B6BPTDMIDOA2","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"pith_short_16","alias_value":"B6BPTDMIDOA27IG3","created_at":"2026-07-05T11:58:08Z"},{"alias_kind":"pith_short_8","alias_value":"B6BPTDMI","created_at":"2026-07-05T11:58:08Z"}],"graph_snapshots":[{"event_id":"sha256:312aab02133eaf4e9cb3aac8b4f4b67b76fc818f2074f85cdcdfe6c94e8cdd9b","target":"graph","created_at":"2026-07-05T11:58:08Z","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/2508.17017/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion-based Handwritten Text Generation (HTG) approaches achieve impressive results on frequent, in-vocabulary words observed at training time and on regular styles. However, they are prone to memorizing training samples and often struggle with style variability and generation clarity. In particular, standard diffusion models tend to produce artifacts or distortions that negatively affect the readability of the generated text, especially when the style is hard to produce. To tackle these issues, we propose a novel sampling guidance strategy, Dual Orthogonal Guidance (DOG), that leverages a","authors_text":"George Retsinas, Giorgos Sfikas, Konstantina Nikolaidou, Marcus Liwicki, Rita Cucchiara, Silvia Cascianelli","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-23T13:09:19Z","title":"Dual Orthogonal Guidance for Robust Diffusion-based Handwritten Text Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.17017","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:d2f7acec7cc3e7771ce84422be622a9f1c3dda8ccc60ba5b92cf65e11128d0a1","target":"record","created_at":"2026-07-05T11:58:08Z","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":"07e75204471e1e40d7b371c0ffc3ec5d518eeeda888ee6dcf76e4fa62ed69323","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-23T13:09:19Z","title_canon_sha256":"29936efab6747a66e3ac3b0bae24c59aa81bf571936d2bc01b484d2c1974480e"},"schema_version":"1.0","source":{"id":"2508.17017","kind":"arxiv","version":1}},"canonical_sha256":"0f82f98d881b81afa0dbb52d1a034189ebef806aca0f6b6f6aa082adbcea9207","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f82f98d881b81afa0dbb52d1a034189ebef806aca0f6b6f6aa082adbcea9207","first_computed_at":"2026-07-05T11:58:08.214510Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:08.214510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JgL730P+Gjf/BZKI4pNN54KcNMkcLJ61UvoX5flakvPSxVM3NL+AW3OW1203TfQkQWdiqv/LkGxITJp8UpBHBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:08.214973Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.17017","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d2f7acec7cc3e7771ce84422be622a9f1c3dda8ccc60ba5b92cf65e11128d0a1","sha256:312aab02133eaf4e9cb3aac8b4f4b67b76fc818f2074f85cdcdfe6c94e8cdd9b"],"state_sha256":"03b0b16d52ac09b8892fa58ea00c16bdd069e04fa66a1de47b6571e3ec0e9694"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JESbQHcG3HXiC4C6EZHXJy6SlvV0wulTdubRaH5+sViJAfrgvX4hjzQkyhyZup9fUmi8dis3/YX51BX2u11JDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:51:14.008948Z","bundle_sha256":"6035ed15ce17327c67ad03e76c1c1256346f4236d1da52fdf862705b36fdc949"}}