{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WRKNOFEQTCT7GQ4ME72KXKMMMA","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":"4e16c4d9c946186cfa9c02d636f3a5d0b575e509247879c31253b11cae660b96","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T14:35:27Z","title_canon_sha256":"b9f9231c3a6d74d6a87a15495cff71da60a89008b732bc23586fab8217fed186"},"schema_version":"1.0","source":{"id":"2608.04906","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.04906","created_at":"2026-08-06T01:47:40Z"},{"alias_kind":"arxiv_version","alias_value":"2608.04906v1","created_at":"2026-08-06T01:47:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.04906","created_at":"2026-08-06T01:47:40Z"},{"alias_kind":"pith_short_12","alias_value":"WRKNOFEQTCT7","created_at":"2026-08-06T01:47:40Z"},{"alias_kind":"pith_short_16","alias_value":"WRKNOFEQTCT7GQ4M","created_at":"2026-08-06T01:47:40Z"},{"alias_kind":"pith_short_8","alias_value":"WRKNOFEQ","created_at":"2026-08-06T01:47:40Z"}],"graph_snapshots":[{"event_id":"sha256:548cab9f89dd6f400b981f54af319f66293df0c7583751f9b80773f5b9060b56","target":"graph","created_at":"2026-08-06T01:47:40Z","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/2608.04906/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study introduces a diffusion-based framework for robust and accurate semantic segmentation of lumbar spine MRI scans from patients with low back pain (LBP), regardless of whether the scans are T1- or T2-weighted. We compared with advanced models for segmenting vertebrae, intervertebral discs (IVDs), and spinal canal using the SPIDER dataset. The results showed that SpineSegDiff achieved a segmentation performance comparable to that of the state-of-the-art non-diffusion nnUnet, particularly in improving the identification of degenerated IVDs. In addition, the uncertainty maps generated by ","authors_text":"Catherine R. Jutzeler, Ender Konukoglu, Maria Monzon, Thomas Iff","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T14:35:27Z","title":"Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.04906","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":"sha256:114408a02f68a5f264d68e04b3dd4e84a20e2a88471f0ab927347a2ccf51ed45","target":"record","created_at":"2026-08-06T01:47:40Z","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":"4e16c4d9c946186cfa9c02d636f3a5d0b575e509247879c31253b11cae660b96","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T14:35:27Z","title_canon_sha256":"b9f9231c3a6d74d6a87a15495cff71da60a89008b732bc23586fab8217fed186"},"schema_version":"1.0","source":{"id":"2608.04906","kind":"arxiv","version":1}},"canonical_sha256":"b454d7149098a7f3438c27f4aba98c60263ab1ae17bfa09b8c76b897307775a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b454d7149098a7f3438c27f4aba98c60263ab1ae17bfa09b8c76b897307775a3","first_computed_at":"2026-08-06T01:47:40.633185Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-06T01:47:40.633185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c78Lx6mCyy1pvCjyTsUbvoqdKMeZSZ3cLgD3BPCYwvcCC7AV9Ttxf56UhWdwKsFDJhwZszeGGArKeWr+9cfzBw==","signature_status":"signed_v1","signed_at":"2026-08-06T01:47:40.634635Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.04906","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:114408a02f68a5f264d68e04b3dd4e84a20e2a88471f0ab927347a2ccf51ed45","sha256:548cab9f89dd6f400b981f54af319f66293df0c7583751f9b80773f5b9060b56"],"state_sha256":"b36edf93609593b590dbfb554229b7080dcacda0bfee73eb73d1c3e821b04e5d"}