{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3SN4IJ3ZFHS6AVXYLA235OTH2U","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":"9d0e71cd274a581fefe4df4c39c12a3a98a83fffcc80cc4f947ea9ff53c7c7a2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-21T01:24:06Z","title_canon_sha256":"ffb6332ef56f9ad8747d6e3f02d7204b00bab8de2c16aeb17027f3b62be830d0"},"schema_version":"1.0","source":{"id":"2508.15151","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.15151","created_at":"2026-05-29T01:04:55Z"},{"alias_kind":"arxiv_version","alias_value":"2508.15151v3","created_at":"2026-05-29T01:04:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.15151","created_at":"2026-05-29T01:04:55Z"},{"alias_kind":"pith_short_12","alias_value":"3SN4IJ3ZFHS6","created_at":"2026-05-29T01:04:55Z"},{"alias_kind":"pith_short_16","alias_value":"3SN4IJ3ZFHS6AVXY","created_at":"2026-05-29T01:04:55Z"},{"alias_kind":"pith_short_8","alias_value":"3SN4IJ3Z","created_at":"2026-05-29T01:04:55Z"}],"graph_snapshots":[{"event_id":"sha256:9d2309d2c0b7ef2294a7b9bb3e2667d87b6059b41612a9054cf6b65d4a250f4e","target":"graph","created_at":"2026-05-29T01:04:55Z","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/2508.15151/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Computed tomography (CT) is important in clinical diagnosis, but acquiring high-resolution (HR) CT is constrained by radiation exposure risks. While deep learning-based super-resolution (SR) methods have shown promise for reconstructing HR CT from low-resolution (LR) inputs, supervised approaches require paired datasets that are often unavailable. Zero-shot methods address this limitation by operating on single LR inputs; however, they frequently fail to recover fine structural details due to limited LR information within individual volumes. To overcome these limitations, we propose a novel ze","authors_text":"Hyun-Jic Oh, Jeonghyun Noh, Won-Ki Jeong","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-21T01:24:06Z","title":"Zero-shot CT Super-Resolution using Diffusion-based 2D Projection Priors and Signed 3D Gaussians"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.15151","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":"sha256:194687a424be40349cefcbd15c22b0f8a69d984b2a592c0beaccb36541271872","target":"record","created_at":"2026-05-29T01:04:55Z","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":"9d0e71cd274a581fefe4df4c39c12a3a98a83fffcc80cc4f947ea9ff53c7c7a2","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2025-08-21T01:24:06Z","title_canon_sha256":"ffb6332ef56f9ad8747d6e3f02d7204b00bab8de2c16aeb17027f3b62be830d0"},"schema_version":"1.0","source":{"id":"2508.15151","kind":"arxiv","version":3}},"canonical_sha256":"dc9bc4277929e5e056f85835beba67d50a947bb349281e7e9350ce6bc9d6d3f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc9bc4277929e5e056f85835beba67d50a947bb349281e7e9350ce6bc9d6d3f4","first_computed_at":"2026-05-29T01:04:55.227798Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:04:55.227798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YzPPkxedzUX9hK+rrmbCT0aYTc9VWW8P5mT5qyKrKZ2yR0ahlEkZdZDmK6TK/tKaj9X2AqnU0k+2/Jm46iM8BQ==","signature_status":"signed_v1","signed_at":"2026-05-29T01:04:55.228204Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.15151","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:194687a424be40349cefcbd15c22b0f8a69d984b2a592c0beaccb36541271872","sha256:9d2309d2c0b7ef2294a7b9bb3e2667d87b6059b41612a9054cf6b65d4a250f4e"],"state_sha256":"0307e57fc715c8c4bc352c6f7fce0fc3662ec92b682c0f440f5761f6102b8212"}