{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:NCMG2S7FST4WIQ3NHQW2TOOVCK","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":"cde575794139964a62808966d9cb7e711eed18d7bb45161e9c9c460aaf112368","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2021-12-27T12:06:06Z","title_canon_sha256":"f3403f1e7b396d500bf32eeec2cdcb35e655d0c40ad5d61f1408b3b668899468"},"schema_version":"1.0","source":{"id":"2112.13626","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.13626","created_at":"2026-07-05T03:45:13Z"},{"alias_kind":"arxiv_version","alias_value":"2112.13626v3","created_at":"2026-07-05T03:45:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.13626","created_at":"2026-07-05T03:45:13Z"},{"alias_kind":"pith_short_12","alias_value":"NCMG2S7FST4W","created_at":"2026-07-05T03:45:13Z"},{"alias_kind":"pith_short_16","alias_value":"NCMG2S7FST4WIQ3N","created_at":"2026-07-05T03:45:13Z"},{"alias_kind":"pith_short_8","alias_value":"NCMG2S7F","created_at":"2026-07-05T03:45:13Z"}],"graph_snapshots":[{"event_id":"sha256:3ba43b647f172707b8db4baba0bbcbf11d1c62dc8e04bf5efe6be722ea3d9729","target":"graph","created_at":"2026-07-05T03:45:13Z","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/2112.13626/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Translational brain research using Magnetic Resonance Imaging (MRI) is becoming increasingly popular as animal models are an essential part of scientific studies and more ultra-high-field scanners are becoming available. Some disadvantages of MRI are the availability of MRI scanners and the time required for a full scanning session (it usually takes over 30 minutes). Privacy laws and the 3Rs ethics rule also make it difficult to create large datasets for training deep learning models. Generative Adversarial Networks (GANs) can perform data augmentation with higher quality than other techniques","authors_text":"(2) Universit\\'e Paris-Saclay, Andr\\'e Ferreira (1), BAOBAB, Braga, CEA, CNRS, France), Gif-sur-Yvette, NeuroSpin, Portugal, Ricardo Magalh\\~aes (2), S\\'ebastien M\\'eriaux (2), University of Minho, Victor Alves (1) ((1) Centro Algoritmi","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2021-12-27T12:06:06Z","title":"Generation of Synthetic Rat Brain MRI scans with a 3D Enhanced Alpha-GAN"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.13626","kind":"arxiv","version":3},"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":"sha256:517cdc5c4cbfc5e577c7c54b520625548e9648eccae05552b78e4bd9e1f80ed6","target":"record","created_at":"2026-07-05T03:45:13Z","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":"cde575794139964a62808966d9cb7e711eed18d7bb45161e9c9c460aaf112368","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2021-12-27T12:06:06Z","title_canon_sha256":"f3403f1e7b396d500bf32eeec2cdcb35e655d0c40ad5d61f1408b3b668899468"},"schema_version":"1.0","source":{"id":"2112.13626","kind":"arxiv","version":3}},"canonical_sha256":"68986d4be594f964436d3c2da9b9d512a4694b334d600f761b16ba25892c09c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68986d4be594f964436d3c2da9b9d512a4694b334d600f761b16ba25892c09c3","first_computed_at":"2026-07-05T03:45:13.019735Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:45:13.019735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7e4CSBI14HONCMSZm2yqY3olnBeZyv4YPIsJz8EDHU+5aK5QU1EfHhHdGDTVBmUTzXzPD/ti3BoJgA7W6d9pDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:45:13.020305Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.13626","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:517cdc5c4cbfc5e577c7c54b520625548e9648eccae05552b78e4bd9e1f80ed6","sha256:3ba43b647f172707b8db4baba0bbcbf11d1c62dc8e04bf5efe6be722ea3d9729"],"state_sha256":"b15904b1bb960d59c4de57443c4b58672e0602785928860182be78c3d205d9f0"}