{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:YK4R2P3X6E4S4Z6PNF7NJDLWHL","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":"a70d8a7e60121bbabf5357f3f484ad80b20bff5c5c6079411eccdeaefb90d1b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T20:00:42Z","title_canon_sha256":"d658e1253e60a678aafad18b70983eea76d766e140c1341cca18299ff76a3280"},"schema_version":"1.0","source":{"id":"1805.00329","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.00329","created_at":"2026-05-18T00:17:09Z"},{"alias_kind":"arxiv_version","alias_value":"1805.00329v1","created_at":"2026-05-18T00:17:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00329","created_at":"2026-05-18T00:17:09Z"},{"alias_kind":"pith_short_12","alias_value":"YK4R2P3X6E4S","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YK4R2P3X6E4S4Z6P","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YK4R2P3X","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:147fe6f11677d3f34e0d5a3d1ff36ef7b311a16e6af2ee64e4dd446deefd4114","target":"graph","created_at":"2026-05-18T00:17:09Z","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"},"paper":{"abstract_excerpt":"We introduce DeepDIVA: an infrastructure designed to enable quick and intuitive setup of reproducible experiments with a large range of useful analysis functionality. Reproducing scientific results can be a frustrating experience, not only in document image analysis but in machine learning in general. Using DeepDIVA a researcher can either reproduce a given experiment with a very limited amount of information or share their own experiments with others. Moreover, the framework offers a large range of functions, such as boilerplate code, keeping track of experiments, hyper-parameter optimization","authors_text":"Marcel W\\\"ursch, Marcus Liwicki, Michele Alberti, Rolf Ingold, Vinaychandran Pondenkandath","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T20:00:42Z","title":"DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00329","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:d66a4e86653aee5b1c5922fe1740e2b3ed2ca24e5a680e402ed88fbadec86408","target":"record","created_at":"2026-05-18T00:17:09Z","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":"a70d8a7e60121bbabf5357f3f484ad80b20bff5c5c6079411eccdeaefb90d1b1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-23T20:00:42Z","title_canon_sha256":"d658e1253e60a678aafad18b70983eea76d766e140c1341cca18299ff76a3280"},"schema_version":"1.0","source":{"id":"1805.00329","kind":"arxiv","version":1}},"canonical_sha256":"c2b91d3f77f1392e67cf697ed48d763ad7a246849096c99058c7d77c89bd8ced","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2b91d3f77f1392e67cf697ed48d763ad7a246849096c99058c7d77c89bd8ced","first_computed_at":"2026-05-18T00:17:09.887162Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:09.887162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EbkpQJ/jCaqUBBZ8X3rW5lNjwsmJD0ANkhveI43o6tuOP+gSPDIb0Ej4KKlUSraXnqhyBTE+IwUsF6GdjHw7Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:09.887707Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.00329","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d66a4e86653aee5b1c5922fe1740e2b3ed2ca24e5a680e402ed88fbadec86408","sha256:147fe6f11677d3f34e0d5a3d1ff36ef7b311a16e6af2ee64e4dd446deefd4114"],"state_sha256":"64c8a9ee92df2bc023b11287a82d46f20c81079e02146e81aba0ec0d25b86c87"}