{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:PS5RRDDAKLIM4DIC75LMU24Q6D","short_pith_number":"pith:PS5RRDDA","canonical_record":{"source":{"id":"2310.20316","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-31T09:44:27Z","cross_cats_sorted":["cs.DL"],"title_canon_sha256":"596330a297321f79c37ad44ed012055d2c768375bf6aef78aba1d9d341406c8e","abstract_canon_sha256":"77f0abe7442a93cb4b824281c1e763aaaccd782595ef2c23569edbf0a895896f"},"schema_version":"1.0"},"canonical_sha256":"7cbb188c6052d0ce0d02ff56ca6b90f0d757d9baa24ed5a18c69713d621bfeec","source":{"kind":"arxiv","id":"2310.20316","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.20316","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"arxiv_version","alias_value":"2310.20316v1","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.20316","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"pith_short_12","alias_value":"PS5RRDDAKLIM","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"pith_short_16","alias_value":"PS5RRDDAKLIM4DIC","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"pith_short_8","alias_value":"PS5RRDDA","created_at":"2026-07-05T07:07:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:PS5RRDDAKLIM4DIC75LMU24Q6D","target":"record","payload":{"canonical_record":{"source":{"id":"2310.20316","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-31T09:44:27Z","cross_cats_sorted":["cs.DL"],"title_canon_sha256":"596330a297321f79c37ad44ed012055d2c768375bf6aef78aba1d9d341406c8e","abstract_canon_sha256":"77f0abe7442a93cb4b824281c1e763aaaccd782595ef2c23569edbf0a895896f"},"schema_version":"1.0"},"canonical_sha256":"7cbb188c6052d0ce0d02ff56ca6b90f0d757d9baa24ed5a18c69713d621bfeec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:07:28.336640Z","signature_b64":"rw+9gmCy+VuSmp8rCPYJO0W+TD3b9Cs50dgVYcCN6ZNHwUngyHuxl5vxCi1eOjC7lwR3LKnBrX+I+BHy+eMrAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7cbb188c6052d0ce0d02ff56ca6b90f0d757d9baa24ed5a18c69713d621bfeec","last_reissued_at":"2026-07-05T07:07:28.336127Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:07:28.336127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.20316","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":"2026-07-05T07:07:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HyZTCi9AggSFb/QknVJoqNv+fMq1V2eaXKtbJJYQss/C6u5vxxLOybVwwgyT78VilRKLuDRkvyw7X7ZuOyobCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:01:56.238827Z"},"content_sha256":"11046fdfd66b492e246a4aea8678b5bb5caf6d21ca719b7bc55142a0cd631645","schema_version":"1.0","event_id":"sha256:11046fdfd66b492e246a4aea8678b5bb5caf6d21ca719b7bc55142a0cd631645"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:PS5RRDDAKLIM4DIC75LMU24Q6D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"HWD: A Novel Evaluation Score for Styled Handwritten Text Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DL"],"primary_cat":"cs.CV","authors_text":"Fabio Quattrini, Rita Cucchiara, Silvia Cascianelli, Vittorio Pippi","submitted_at":"2023-10-31T09:44:27Z","abstract_excerpt":"Styled Handwritten Text Generation (Styled HTG) is an important task in document analysis, aiming to generate text images with the handwriting of given reference images. In recent years, there has been significant progress in the development of deep learning models for tackling this task. Being able to measure the performance of HTG models via a meaningful and representative criterion is key for fostering the development of this research topic. However, despite the current adoption of scores for natural image generation evaluation, assessing the quality of generated handwriting remains challen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.20316","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/2310.20316/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":"2026-07-05T07:07:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m95qY8gmsxRATjwYg4iCFeSMW7tmoRXJE7x/KuivoV/EcOe+DYHWxzVY0444rA++r+Dia/ciOzbyhdyq89cpAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T15:01:56.239345Z"},"content_sha256":"39847ac98469caf2a4a8480f779a6aa2dd3a9611b225b0e085b1be057acfdbd5","schema_version":"1.0","event_id":"sha256:39847ac98469caf2a4a8480f779a6aa2dd3a9611b225b0e085b1be057acfdbd5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PS5RRDDAKLIM4DIC75LMU24Q6D/bundle.json","state_url":"https://pith.science/pith/PS5RRDDAKLIM4DIC75LMU24Q6D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PS5RRDDAKLIM4DIC75LMU24Q6D/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":"2026-08-04T15:01:56Z","links":{"resolver":"https://pith.science/pith/PS5RRDDAKLIM4DIC75LMU24Q6D","bundle":"https://pith.science/pith/PS5RRDDAKLIM4DIC75LMU24Q6D/bundle.json","state":"https://pith.science/pith/PS5RRDDAKLIM4DIC75LMU24Q6D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PS5RRDDAKLIM4DIC75LMU24Q6D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:PS5RRDDAKLIM4DIC75LMU24Q6D","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":"77f0abe7442a93cb4b824281c1e763aaaccd782595ef2c23569edbf0a895896f","cross_cats_sorted":["cs.DL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-31T09:44:27Z","title_canon_sha256":"596330a297321f79c37ad44ed012055d2c768375bf6aef78aba1d9d341406c8e"},"schema_version":"1.0","source":{"id":"2310.20316","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.20316","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"arxiv_version","alias_value":"2310.20316v1","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.20316","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"pith_short_12","alias_value":"PS5RRDDAKLIM","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"pith_short_16","alias_value":"PS5RRDDAKLIM4DIC","created_at":"2026-07-05T07:07:28Z"},{"alias_kind":"pith_short_8","alias_value":"PS5RRDDA","created_at":"2026-07-05T07:07:28Z"}],"graph_snapshots":[{"event_id":"sha256:39847ac98469caf2a4a8480f779a6aa2dd3a9611b225b0e085b1be057acfdbd5","target":"graph","created_at":"2026-07-05T07:07:28Z","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/2310.20316/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Styled Handwritten Text Generation (Styled HTG) is an important task in document analysis, aiming to generate text images with the handwriting of given reference images. In recent years, there has been significant progress in the development of deep learning models for tackling this task. Being able to measure the performance of HTG models via a meaningful and representative criterion is key for fostering the development of this research topic. However, despite the current adoption of scores for natural image generation evaluation, assessing the quality of generated handwriting remains challen","authors_text":"Fabio Quattrini, Rita Cucchiara, Silvia Cascianelli, Vittorio Pippi","cross_cats":["cs.DL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-31T09:44:27Z","title":"HWD: A Novel Evaluation Score for Styled Handwritten Text Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.20316","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":"sha256:11046fdfd66b492e246a4aea8678b5bb5caf6d21ca719b7bc55142a0cd631645","target":"record","created_at":"2026-07-05T07:07:28Z","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":"77f0abe7442a93cb4b824281c1e763aaaccd782595ef2c23569edbf0a895896f","cross_cats_sorted":["cs.DL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-31T09:44:27Z","title_canon_sha256":"596330a297321f79c37ad44ed012055d2c768375bf6aef78aba1d9d341406c8e"},"schema_version":"1.0","source":{"id":"2310.20316","kind":"arxiv","version":1}},"canonical_sha256":"7cbb188c6052d0ce0d02ff56ca6b90f0d757d9baa24ed5a18c69713d621bfeec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7cbb188c6052d0ce0d02ff56ca6b90f0d757d9baa24ed5a18c69713d621bfeec","first_computed_at":"2026-07-05T07:07:28.336127Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:07:28.336127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rw+9gmCy+VuSmp8rCPYJO0W+TD3b9Cs50dgVYcCN6ZNHwUngyHuxl5vxCi1eOjC7lwR3LKnBrX+I+BHy+eMrAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:07:28.336640Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.20316","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11046fdfd66b492e246a4aea8678b5bb5caf6d21ca719b7bc55142a0cd631645","sha256:39847ac98469caf2a4a8480f779a6aa2dd3a9611b225b0e085b1be057acfdbd5"],"state_sha256":"456f0b9c84c5d541cca7c165f20605ce5f30ff1b5f58da86ff610305a1fb2a96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uBnkrF4hAgWLsK9p7gk9pkGWSgbsfoMs8IzSKAW6N6DOkuBOASHYjMmFqjhM3Ko0L+sQmlJEMlv+Ad/7ywmaAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T15:01:56.243137Z","bundle_sha256":"d04d14c38cd0e178172172b32fa0bd40fc9ed733ffba65eb5349a456d8af1910"}}