{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BOURNU5JHVNH5KFCELBPS42QMP","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":"768ae36754d5c9b384075c05ad407e5ce12b193dbd636744e53c42954f1d6ac7","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-11T12:45:17Z","title_canon_sha256":"ab883a8b3817486683ce92da9b6eb75e9546f590fec3ba04190f513af4d1b641"},"schema_version":"1.0","source":{"id":"2412.08350","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08350","created_at":"2026-07-05T09:47:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08350v1","created_at":"2026-07-05T09:47:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08350","created_at":"2026-07-05T09:47:48Z"},{"alias_kind":"pith_short_12","alias_value":"BOURNU5JHVNH","created_at":"2026-07-05T09:47:48Z"},{"alias_kind":"pith_short_16","alias_value":"BOURNU5JHVNH5KFC","created_at":"2026-07-05T09:47:48Z"},{"alias_kind":"pith_short_8","alias_value":"BOURNU5J","created_at":"2026-07-05T09:47:48Z"}],"graph_snapshots":[{"event_id":"sha256:e4557c142acf02bbfbc99635734fcb7167e11041fdb6e3fa3c2d59110ab52b49","target":"graph","created_at":"2026-07-05T09:47:48Z","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/2412.08350/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computed tomography (CT) is a widely used non-invasive diagnostic method in various fields, and recent advances in deep learning have led to significant progress in CT image reconstruction. However, the lack of large-scale, open-access datasets has hindered the comparison of different types of learned methods. To address this gap, we use the 2DeteCT dataset, a real-world experimental computed tomography dataset, for benchmarking machine learning based CT image reconstruction algorithms. We categorize these methods into post-processing networks, learned/unrolled iterative methods, learned regul","authors_text":"Ander Biguri, Carola-Bibiane Sch\\\"onlieb, Felix Lucka, Ferdia Sherry, K. Joost Batenburg, Maximilian B. Kiss, Zakhar Shumaylov","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-11T12:45:17Z","title":"Benchmarking learned algorithms for computed tomography image reconstruction tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08350","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:d54e1a4e36eb9a2ee7464a68cf3571cbe4cfea9e43697cf8e6ed08ab8deac88e","target":"record","created_at":"2026-07-05T09:47:48Z","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":"768ae36754d5c9b384075c05ad407e5ce12b193dbd636744e53c42954f1d6ac7","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-12-11T12:45:17Z","title_canon_sha256":"ab883a8b3817486683ce92da9b6eb75e9546f590fec3ba04190f513af4d1b641"},"schema_version":"1.0","source":{"id":"2412.08350","kind":"arxiv","version":1}},"canonical_sha256":"0ba916d3a93d5a7ea8a222c2f9735063c73626cdb9f63bddac80c12817033ef5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ba916d3a93d5a7ea8a222c2f9735063c73626cdb9f63bddac80c12817033ef5","first_computed_at":"2026-07-05T09:47:48.583529Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:48.583529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4T4PvCmYSH0yzS7XJ8lfsyvI2Goo2mS4FcgrLhLcN/Uc0Ew3SWYZHMtP4FWvBbRkASlAPLVmkURjnY2Y6LblCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:48.583939Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08350","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d54e1a4e36eb9a2ee7464a68cf3571cbe4cfea9e43697cf8e6ed08ab8deac88e","sha256:e4557c142acf02bbfbc99635734fcb7167e11041fdb6e3fa3c2d59110ab52b49"],"state_sha256":"2224ad151c24a3fbbde7e617d31dafbe9aed06041ba7b38a7e159eca3af2a9a1"}