{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DOFG4SYQUZ23DSXPSRO7SPBUSI","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":"7148ce153353c85f42b82866576515af44b244ab5dba8c165cae1cd5a12d48f0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-06T13:26:01Z","title_canon_sha256":"de7f913e5e7399dc24bc5401928c91e540ce7ad1543bd4693fd0c6c30fc85aaa"},"schema_version":"1.0","source":{"id":"2606.08164","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.08164","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"arxiv_version","alias_value":"2606.08164v1","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08164","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_12","alias_value":"DOFG4SYQUZ23","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_16","alias_value":"DOFG4SYQUZ23DSXP","created_at":"2026-06-09T01:05:28Z"},{"alias_kind":"pith_short_8","alias_value":"DOFG4SYQ","created_at":"2026-06-09T01:05:28Z"}],"graph_snapshots":[{"event_id":"sha256:c6f2348488e8901b136538f019dcd228f8cd7405d2261906eb701e21b4a57dc9","target":"graph","created_at":"2026-06-09T01:05:28Z","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/2606.08164/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"MRI preprocessing defines the input distribution seen by brain MRI foundation models, yet it is usually treated as routine data cleaning rather than a modeling choice. We ask how much preprocessing is worth its computational cost for self-supervised 3D MRI pretraining. Keeping the corpus, 3D ViT backbone, masking protocol, and downstream evaluations fixed, we compare a graded P0-P7 preprocessing spectrum for masked autoencoding (MAE) and joint-embedding predictive learning (JEPA) on 20,000 heterogeneous brain MRI volumes, then transfer the encoders to IDH prediction, MCI classification, brain ","authors_text":"Jiangshuan Pang, Jing Yan, Shiping Liu, Tao Zhou, Wangyang Tang, Youzhe He, Zhenkun Zhuang, Zhixuan Cheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-06T13:26:01Z","title":"How Much MRI Preprocessing Is Enough? A Cost-Utility Study for Brain MRI Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08164","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":"sha256:164161b0deef33b0e733ca04d3ab39983c0cee05000aa2506385e35fe4c42faa","target":"record","created_at":"2026-06-09T01:05:28Z","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":"7148ce153353c85f42b82866576515af44b244ab5dba8c165cae1cd5a12d48f0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-06T13:26:01Z","title_canon_sha256":"de7f913e5e7399dc24bc5401928c91e540ce7ad1543bd4693fd0c6c30fc85aaa"},"schema_version":"1.0","source":{"id":"2606.08164","kind":"arxiv","version":1}},"canonical_sha256":"1b8a6e4b10a675b1caef945df93c3492165d7221c23369d5c2f22b7ded814648","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b8a6e4b10a675b1caef945df93c3492165d7221c23369d5c2f22b7ded814648","first_computed_at":"2026-06-09T01:05:28.724577Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:28.724577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"63JGYF0aLwSnQCVW3x1EeIGOFxXlGsl3O0Yq0A8oifgItu7WWy52vi2xdY8aUgnE9S9mqayB6UjWfJpI1zgPBw==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:28.725230Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.08164","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:164161b0deef33b0e733ca04d3ab39983c0cee05000aa2506385e35fe4c42faa","sha256:c6f2348488e8901b136538f019dcd228f8cd7405d2261906eb701e21b4a57dc9"],"state_sha256":"2089bebc3bd48ac4e012c5de135d2adfe388e3b1082c430fff5d4451121cff51"}