{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:X7ADGP76PFA74HJ6IXCYPLGAGY","short_pith_number":"pith:X7ADGP76","schema_version":"1.0","canonical_sha256":"bfc0333ffe7941fe1d3e45c587acc036227651529cee73a1d1e89f87d350c276","source":{"kind":"arxiv","id":"1901.07800","version":1},"attestation_state":"computed","paper":{"title":"Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Bjoern H. Menze, Guido Buonincontri, Marion I. Menzel, Miguel Molina-Romero, Pedro A. G\\'omez","submitted_at":"2019-01-23T10:20:18Z","abstract_excerpt":"Magnetic resonance imaging (MRI) is a remarkably powerful diagnostic technique: it generates wide-ranging information for the non-invasive study of tissue anatomy and physiology. Complementary data is normally obtained in separate measurements, either as contrast-weighted images, which are fast and simple to acquire, or as quantitative parametric maps, which offer an absolute quantification of underlying biophysical effects, such as relaxation times or flow. Here, we demonstrate how to acquire and reconstruct data in a transient-state with a dual purpose: 1 - to generate contrast-weighted imag"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1901.07800","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-01-23T10:20:18Z","cross_cats_sorted":[],"title_canon_sha256":"14ff8502da5c3e0d5176cefef5d50a8df4933f8b415ce1e985121048ddd7f395","abstract_canon_sha256":"92fd642935b70d5c6db28c44965ee5ca671fdd83b4174ab32893f44dab03675b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:39.699106Z","signature_b64":"jMI+gMHVviF04xGu/kk2qBwsn84qBTuPxUyotxdoYeURx8C7BSZ2ussSu9XheaeQapP8002rLc7rEenyhZBUBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bfc0333ffe7941fe1d3e45c587acc036227651529cee73a1d1e89f87d350c276","last_reissued_at":"2026-05-17T23:55:39.698752Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:39.698752Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Bjoern H. Menze, Guido Buonincontri, Marion I. Menzel, Miguel Molina-Romero, Pedro A. G\\'omez","submitted_at":"2019-01-23T10:20:18Z","abstract_excerpt":"Magnetic resonance imaging (MRI) is a remarkably powerful diagnostic technique: it generates wide-ranging information for the non-invasive study of tissue anatomy and physiology. Complementary data is normally obtained in separate measurements, either as contrast-weighted images, which are fast and simple to acquire, or as quantitative parametric maps, which offer an absolute quantification of underlying biophysical effects, such as relaxation times or flow. Here, we demonstrate how to acquire and reconstruct data in a transient-state with a dual purpose: 1 - to generate contrast-weighted imag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.07800","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1901.07800","created_at":"2026-05-17T23:55:39.698813+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.07800v1","created_at":"2026-05-17T23:55:39.698813+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.07800","created_at":"2026-05-17T23:55:39.698813+00:00"},{"alias_kind":"pith_short_12","alias_value":"X7ADGP76PFA7","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_16","alias_value":"X7ADGP76PFA74HJ6","created_at":"2026-05-18T12:33:33.725879+00:00"},{"alias_kind":"pith_short_8","alias_value":"X7ADGP76","created_at":"2026-05-18T12:33:33.725879+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY","json":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY.json","graph_json":"https://pith.science/api/pith-number/X7ADGP76PFA74HJ6IXCYPLGAGY/graph.json","events_json":"https://pith.science/api/pith-number/X7ADGP76PFA74HJ6IXCYPLGAGY/events.json","paper":"https://pith.science/paper/X7ADGP76"},"agent_actions":{"view_html":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY","download_json":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY.json","view_paper":"https://pith.science/paper/X7ADGP76","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.07800&json=true","fetch_graph":"https://pith.science/api/pith-number/X7ADGP76PFA74HJ6IXCYPLGAGY/graph.json","fetch_events":"https://pith.science/api/pith-number/X7ADGP76PFA74HJ6IXCYPLGAGY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY/action/storage_attestation","attest_author":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY/action/author_attestation","sign_citation":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY/action/citation_signature","submit_replication":"https://pith.science/pith/X7ADGP76PFA74HJ6IXCYPLGAGY/action/replication_record"}},"created_at":"2026-05-17T23:55:39.698813+00:00","updated_at":"2026-05-17T23:55:39.698813+00:00"}