{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7RUJDF22OKWZ7DLEQJRYQ43P4A","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":"d680336db57c120f349fb803e56d36cc120d248b799e4e2a8c31df26170f0ccf","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-06-17T22:13:11Z","title_canon_sha256":"2c8dbda60bd39d06ada07bfcb1194a7466904e9d008e90b17e4f3b74a764966f"},"schema_version":"1.0","source":{"id":"2106.09834","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.09834","created_at":"2026-07-05T02:50:21Z"},{"alias_kind":"arxiv_version","alias_value":"2106.09834v1","created_at":"2026-07-05T02:50:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.09834","created_at":"2026-07-05T02:50:21Z"},{"alias_kind":"pith_short_12","alias_value":"7RUJDF22OKWZ","created_at":"2026-07-05T02:50:21Z"},{"alias_kind":"pith_short_16","alias_value":"7RUJDF22OKWZ7DLE","created_at":"2026-07-05T02:50:21Z"},{"alias_kind":"pith_short_8","alias_value":"7RUJDF22","created_at":"2026-07-05T02:50:21Z"}],"graph_snapshots":[{"event_id":"sha256:11111f922446a7f4138c42368b40e153c3eea42eee79f154450eb38e57d4f4f7","target":"graph","created_at":"2026-07-05T02:50:21Z","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/2106.09834/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"By the ALARA (As Low As Reasonably Achievable) principle, ultra-low-dose CT reconstruction is a holy grail to minimize cancer risks and genetic damages, especially for children. With the development of medical CT technologies, the iterative algorithms are widely used to reconstruct decent CT images from a low-dose scan. Recently, artificial intelligence (AI) techniques have shown a great promise in further reducing CT radiation dose to the next level. In this paper, we demonstrate that AI-powered CT reconstruction offers diagnostic image quality at an ultra-low-dose level comparable to that of","authors_text":"Chuang Niu, Ge Wang, Hengyong Yu, Mannu Kalra, Shadi Ebrahimian, Weiwen Wu","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-06-17T22:13:11Z","title":"AI-Enabled Ultra-Low-Dose CT Reconstruction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.09834","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":"sha256:362247a7fb966d54634faee3faa371deb90cb1c8ce1c980299391faeb4badfec","target":"record","created_at":"2026-07-05T02:50:21Z","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":"d680336db57c120f349fb803e56d36cc120d248b799e4e2a8c31df26170f0ccf","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2021-06-17T22:13:11Z","title_canon_sha256":"2c8dbda60bd39d06ada07bfcb1194a7466904e9d008e90b17e4f3b74a764966f"},"schema_version":"1.0","source":{"id":"2106.09834","kind":"arxiv","version":1}},"canonical_sha256":"fc6891975a72ad9f8d64826388736fe031866d544ea18071cca828d12e03fdaa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc6891975a72ad9f8d64826388736fe031866d544ea18071cca828d12e03fdaa","first_computed_at":"2026-07-05T02:50:21.381032Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:21.381032Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NYwDfxezXICXcMEGCiLZpTnRL34OSVgcM0fi8JU4zglXoPJPLsuIdWqRq/YMMaQ95bNLTGTXuzqj6jQb21fKBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:21.381459Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.09834","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:362247a7fb966d54634faee3faa371deb90cb1c8ce1c980299391faeb4badfec","sha256:11111f922446a7f4138c42368b40e153c3eea42eee79f154450eb38e57d4f4f7"],"state_sha256":"8aaf28febe75bd5aea16cd0df195ea78d6b3928d456da1d4b10532434784d872"}