{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3UGTX4V6JRGEMZIA7FGOSSIYMA","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":"aa90b36b4cee61f9e54515f5093f152590710a3c04e36647c04e560d5384cca1","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T20:03:57Z","title_canon_sha256":"c56a5b2824cf46d52c735e49e7367231d9e321460fb01b861c1fb28b37673dd5"},"schema_version":"1.0","source":{"id":"2410.16290","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16290","created_at":"2026-07-05T10:44:18Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16290v4","created_at":"2026-07-05T10:44:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16290","created_at":"2026-07-05T10:44:18Z"},{"alias_kind":"pith_short_12","alias_value":"3UGTX4V6JRGE","created_at":"2026-07-05T10:44:18Z"},{"alias_kind":"pith_short_16","alias_value":"3UGTX4V6JRGEMZIA","created_at":"2026-07-05T10:44:18Z"},{"alias_kind":"pith_short_8","alias_value":"3UGTX4V6","created_at":"2026-07-05T10:44:18Z"}],"graph_snapshots":[{"event_id":"sha256:bf466292d8e8923022ef027a2b53e4ab6cde2e62329328f604b81ea67c7dd49e","target":"graph","created_at":"2026-07-05T10:44:18Z","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/2410.16290/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Compressed Sensing MRI reconstructs images of the body's internal anatomy from undersampled measurements, thereby reducing scan time. Recently, deep learning has shown great potential for reconstructing high-fidelity images from highly undersampled measurements. However, one needs to train multiple models for different undersampling patterns and desired output image resolutions, since most networks operate on a fixed discretization. Such approaches are highly impractical in clinical settings, where undersampling patterns and image resolutions are frequently changed to accommodate different rea","authors_text":"Aditi Chandrashekar, Anima Anandkumar, Armeet Singh Jatyani, Bahareh Tolooshams, Jiayun Wang, Miguel Liu-Schiaffini, Zihui Wu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T20:03:57Z","title":"A Unified Model for Compressed Sensing MRI Across Undersampling Patterns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16290","kind":"arxiv","version":4},"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:bced85192adfecc5e915fd1b0bfe050a0d481f392d794d551871f1d4a4214d21","target":"record","created_at":"2026-07-05T10:44:18Z","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":"aa90b36b4cee61f9e54515f5093f152590710a3c04e36647c04e560d5384cca1","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2024-10-05T20:03:57Z","title_canon_sha256":"c56a5b2824cf46d52c735e49e7367231d9e321460fb01b861c1fb28b37673dd5"},"schema_version":"1.0","source":{"id":"2410.16290","kind":"arxiv","version":4}},"canonical_sha256":"dd0d3bf2be4c4c466500f94ce9491860058f5c8bda7978c3598f281f95589587","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd0d3bf2be4c4c466500f94ce9491860058f5c8bda7978c3598f281f95589587","first_computed_at":"2026-07-05T10:44:18.708814Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:44:18.708814Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pzBjLYXRIb1G5YYErP+pVtS4xKZn2Yryt+l4YQCNM/O2XFsBJyNAHgZKd1SJBA37G8hlZdnFVyFnMrsoYbRFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:44:18.709331Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.16290","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bced85192adfecc5e915fd1b0bfe050a0d481f392d794d551871f1d4a4214d21","sha256:bf466292d8e8923022ef027a2b53e4ab6cde2e62329328f604b81ea67c7dd49e"],"state_sha256":"b1e0e70eb9cf0d39a183100784b700ea2b3c36a3b2363559369047c466d257c3"}