{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PODFQYZG3CLLIRWDUMLBUTKXKE","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":"41a1ccd96ae1666b73ba442c0b33b95c602236480ea3e0cd12a08ca75da2ce0b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-22T15:33:20Z","title_canon_sha256":"1a69804b35d9999ca42a24d1a3394d0486fc5c9bd1b99352eee7b314327b25e0"},"schema_version":"1.0","source":{"id":"2506.18069","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18069","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18069v2","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18069","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_12","alias_value":"PODFQYZG3CLL","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_16","alias_value":"PODFQYZG3CLLIRWD","created_at":"2026-07-05T11:26:33Z"},{"alias_kind":"pith_short_8","alias_value":"PODFQYZG","created_at":"2026-07-05T11:26:33Z"}],"graph_snapshots":[{"event_id":"sha256:42562533de1ac45418b629c4b6eb66e8c8db73a4767b4540a60ac74ef8affcb3","target":"graph","created_at":"2026-07-05T11:26:33Z","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/2506.18069/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We developed a proof-of-concept method for the automatic analysis of the structure and content of incunabula pages. A custom dataset comprising 500 annotated pages from five different incunabula was created using resources from the Jagiellonian Digital Library. Each page was manually labeled with five predefined classes: Text, Title, Picture, Table, and Handwriting. Additionally, the publicly available DocLayNet dataset was utilized as supplementary training data. To perform object detection, YOLO11n and YOLO11s models were employed and trained using two strategies: a combined dataset (DocLayN","authors_text":"Grzegorz J. Nalepa, Klaudia Ropel, Krzysztof Kutt, Luiz do Valle Miranda","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-22T15:33:20Z","title":"Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18069","kind":"arxiv","version":2},"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":"sha256:4428a5a236b0376e276824102c85dfb4bb66e1e934576437e299965470927a01","target":"record","created_at":"2026-07-05T11:26:33Z","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":"41a1ccd96ae1666b73ba442c0b33b95c602236480ea3e0cd12a08ca75da2ce0b","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DL","submitted_at":"2025-06-22T15:33:20Z","title_canon_sha256":"1a69804b35d9999ca42a24d1a3394d0486fc5c9bd1b99352eee7b314327b25e0"},"schema_version":"1.0","source":{"id":"2506.18069","kind":"arxiv","version":2}},"canonical_sha256":"7b86586326d896b446c3a3161a4d57511258feb97fcb3adb19774c387811b313","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7b86586326d896b446c3a3161a4d57511258feb97fcb3adb19774c387811b313","first_computed_at":"2026-07-05T11:26:33.000697Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:33.000697Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b1ZA/KjdG7HoutnzzW3SSiHPvESgvxKroVrHwYXX9rj238gha+nrwhNp0p/TA3V9oGOq/FpjuNUSVs6BJMaNAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:33.001162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.18069","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4428a5a236b0376e276824102c85dfb4bb66e1e934576437e299965470927a01","sha256:42562533de1ac45418b629c4b6eb66e8c8db73a4767b4540a60ac74ef8affcb3"],"state_sha256":"e0a953e03c37a188e689d0447a1c716048ede5aebfc30412bba93c62e27f8873"}