{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3DZCRDPNTHVOE6E4D3TEEJPGHC","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":"ad8974b3e77316cd9b0a4d04bd18eedea69b3140417c9db26646d90e980701ff","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T11:35:11Z","title_canon_sha256":"8d295a4794f860c1da03c12607eb090d0ad1ec82cf56fcb15e4dfc722ec866c8"},"schema_version":"1.0","source":{"id":"2606.20112","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20112","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20112v1","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20112","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_12","alias_value":"3DZCRDPNTHVO","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_16","alias_value":"3DZCRDPNTHVOE6E4","created_at":"2026-06-19T16:13:03Z"},{"alias_kind":"pith_short_8","alias_value":"3DZCRDPN","created_at":"2026-06-19T16:13:03Z"}],"graph_snapshots":[{"event_id":"sha256:5a36c175bda46bc15ce4443139b91745f88e973237930ea49bdb75482a52c141","target":"graph","created_at":"2026-06-19T16:13:03Z","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/2606.20112/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating high-resolution 3D CT volumes with fine details remains challenging due to substantial computational demands and optimization difficulties inherent to existing generative models. In this paper, we propose the Pixel-Level Residual Diffusion Transformer (PRDiT), a scalable generative framework that synthesizes high-quality 3D medical volumes directly at voxel-level. PRDiT introduces a two-stage training architecture comprising 1) a local denoiser in the form of an MLP-based blind estimator operating on overlapping 3D patches to separate low-frequency structures efficiently, and 2) a g","authors_text":"Krista A. Ehinger, Markus Hiller, Tom Drummond, Zhenkai Zhang","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T11:35:11Z","title":"Pixel-Level Residual Diffusion Transformer: Scalable 3D CT Volume Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20112","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":"sha256:2cfff63a24be560c005fee84a36fecdc4d0e54feea51e7e90d6a2710ebd3584f","target":"record","created_at":"2026-06-19T16:13:03Z","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":"ad8974b3e77316cd9b0a4d04bd18eedea69b3140417c9db26646d90e980701ff","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T11:35:11Z","title_canon_sha256":"8d295a4794f860c1da03c12607eb090d0ad1ec82cf56fcb15e4dfc722ec866c8"},"schema_version":"1.0","source":{"id":"2606.20112","kind":"arxiv","version":1}},"canonical_sha256":"d8f2288ded99eae2789c1ee64225e638acfae50b571412e4bfe53f93063d43f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8f2288ded99eae2789c1ee64225e638acfae50b571412e4bfe53f93063d43f2","first_computed_at":"2026-06-19T16:13:03.169532Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:03.169532Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ItGaT3Vx1BL3dHocCEdxmnJtwaX3LCTDxD7aeIlXl8lxH5bWCObgFT6MQUyWRqTLO3OGd3oQ/hSsp+nsQtaEDQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:03.169935Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20112","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2cfff63a24be560c005fee84a36fecdc4d0e54feea51e7e90d6a2710ebd3584f","sha256:5a36c175bda46bc15ce4443139b91745f88e973237930ea49bdb75482a52c141"],"state_sha256":"5bc142df65230b6da2c4073000eac5eef6482100cbf3bb531d99a57e96a816ca"}