{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NHD3YVWV6ESEQAZL6YPH32CFJH","short_pith_number":"pith:NHD3YVWV","canonical_record":{"source":{"id":"2407.19460","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-28T10:40:32Z","cross_cats_sorted":[],"title_canon_sha256":"cadfb82e015465197746ae6df194b6a1577eff00e298707247096b1343b929c8","abstract_canon_sha256":"1e655d7699c71060f485aa5c578cc92857f49fe1e746e6e9464691d82bb09703"},"schema_version":"1.0"},"canonical_sha256":"69c7bc56d5f12448032bf61e7de84549df18ff6cd36f920de3b871bc9faa3ca0","source":{"kind":"arxiv","id":"2407.19460","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19460","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19460v3","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19460","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"NHD3YVWV6ESE","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"pith_short_16","alias_value":"NHD3YVWV6ESEQAZL","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"pith_short_8","alias_value":"NHD3YVWV","created_at":"2026-07-05T09:09:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NHD3YVWV6ESEQAZL6YPH32CFJH","target":"record","payload":{"canonical_record":{"source":{"id":"2407.19460","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-28T10:40:32Z","cross_cats_sorted":[],"title_canon_sha256":"cadfb82e015465197746ae6df194b6a1577eff00e298707247096b1343b929c8","abstract_canon_sha256":"1e655d7699c71060f485aa5c578cc92857f49fe1e746e6e9464691d82bb09703"},"schema_version":"1.0"},"canonical_sha256":"69c7bc56d5f12448032bf61e7de84549df18ff6cd36f920de3b871bc9faa3ca0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:09:24.824089Z","signature_b64":"ElmLsWfhf/LlJsTS9XGHna20fFhunw8sBPBIsiNgPSq15dPY399+HKKA5Fa7ffxmWlGsOgwfb2GBKXHk/Y3eDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"69c7bc56d5f12448032bf61e7de84549df18ff6cd36f920de3b871bc9faa3ca0","last_reissued_at":"2026-07-05T09:09:24.823590Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:09:24.823590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.19460","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S4wmrU/EaZ/+BJPA5zORmito99WL+YPCSj9eiB1gGb9ScxhOwQtEa2shvrvAa9Gw5aT7Fk+d6y8qNOIHg9RDBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:23:16.754229Z"},"content_sha256":"5875ee9184cba2f366a82312629f140e8b4fd24efbdda4a27d1126221e30779a","schema_version":"1.0","event_id":"sha256:5875ee9184cba2f366a82312629f140e8b4fd24efbdda4a27d1126221e30779a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NHD3YVWV6ESEQAZL6YPH32CFJH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongnan Liu, Fan Zhang, Lauren J. O'Donnell, Leo Zekelman, Suheyla Cetin-Karayumak, Weidong Cai, Yogesh Rathi, Yui Lo, Yuqian Chen","submitted_at":"2024-07-28T10:40:32Z","abstract_excerpt":"Parcellation of white matter tractography provides anatomical features for disease prediction, anatomical tract segmentation, surgical brain mapping, and non-imaging phenotype classifications. However, parcellation does not always reach 100\\% accuracy due to various factors, including inter-individual anatomical variability and the quality of neuroimaging scan data. The failure to identify parcels causes a problem of missing microstructure data values, which is especially challenging for downstream tasks that analyze large brain datasets. In this work, we propose a novel deep-learning model to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19460","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2407.19460/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:09:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4nEswFWAMB2+3Z/g+Fn6I92ulGWwUdMxjYJ53vN59EvfYAXzoRzYctwu7UMGCDIxIrmS53FMF3dE9XzyVHrHDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T05:23:16.754835Z"},"content_sha256":"cf250df2f58edba99b748fb4ff1f986a3d688596df91914912bfee67b5946df3","schema_version":"1.0","event_id":"sha256:cf250df2f58edba99b748fb4ff1f986a3d688596df91914912bfee67b5946df3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NHD3YVWV6ESEQAZL6YPH32CFJH/bundle.json","state_url":"https://pith.science/pith/NHD3YVWV6ESEQAZL6YPH32CFJH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NHD3YVWV6ESEQAZL6YPH32CFJH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T05:23:16Z","links":{"resolver":"https://pith.science/pith/NHD3YVWV6ESEQAZL6YPH32CFJH","bundle":"https://pith.science/pith/NHD3YVWV6ESEQAZL6YPH32CFJH/bundle.json","state":"https://pith.science/pith/NHD3YVWV6ESEQAZL6YPH32CFJH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NHD3YVWV6ESEQAZL6YPH32CFJH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NHD3YVWV6ESEQAZL6YPH32CFJH","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":"1e655d7699c71060f485aa5c578cc92857f49fe1e746e6e9464691d82bb09703","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-28T10:40:32Z","title_canon_sha256":"cadfb82e015465197746ae6df194b6a1577eff00e298707247096b1343b929c8"},"schema_version":"1.0","source":{"id":"2407.19460","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19460","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19460v3","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19460","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"NHD3YVWV6ESE","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"pith_short_16","alias_value":"NHD3YVWV6ESEQAZL","created_at":"2026-07-05T09:09:24Z"},{"alias_kind":"pith_short_8","alias_value":"NHD3YVWV","created_at":"2026-07-05T09:09:24Z"}],"graph_snapshots":[{"event_id":"sha256:cf250df2f58edba99b748fb4ff1f986a3d688596df91914912bfee67b5946df3","target":"graph","created_at":"2026-07-05T09:09:24Z","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/2407.19460/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parcellation of white matter tractography provides anatomical features for disease prediction, anatomical tract segmentation, surgical brain mapping, and non-imaging phenotype classifications. However, parcellation does not always reach 100\\% accuracy due to various factors, including inter-individual anatomical variability and the quality of neuroimaging scan data. The failure to identify parcels causes a problem of missing microstructure data values, which is especially challenging for downstream tasks that analyze large brain datasets. In this work, we propose a novel deep-learning model to","authors_text":"Dongnan Liu, Fan Zhang, Lauren J. O'Donnell, Leo Zekelman, Suheyla Cetin-Karayumak, Weidong Cai, Yogesh Rathi, Yui Lo, Yuqian Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-28T10:40:32Z","title":"White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19460","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":"sha256:5875ee9184cba2f366a82312629f140e8b4fd24efbdda4a27d1126221e30779a","target":"record","created_at":"2026-07-05T09:09:24Z","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":"1e655d7699c71060f485aa5c578cc92857f49fe1e746e6e9464691d82bb09703","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-07-28T10:40:32Z","title_canon_sha256":"cadfb82e015465197746ae6df194b6a1577eff00e298707247096b1343b929c8"},"schema_version":"1.0","source":{"id":"2407.19460","kind":"arxiv","version":3}},"canonical_sha256":"69c7bc56d5f12448032bf61e7de84549df18ff6cd36f920de3b871bc9faa3ca0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"69c7bc56d5f12448032bf61e7de84549df18ff6cd36f920de3b871bc9faa3ca0","first_computed_at":"2026-07-05T09:09:24.823590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:09:24.823590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ElmLsWfhf/LlJsTS9XGHna20fFhunw8sBPBIsiNgPSq15dPY399+HKKA5Fa7ffxmWlGsOgwfb2GBKXHk/Y3eDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:09:24.824089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.19460","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5875ee9184cba2f366a82312629f140e8b4fd24efbdda4a27d1126221e30779a","sha256:cf250df2f58edba99b748fb4ff1f986a3d688596df91914912bfee67b5946df3"],"state_sha256":"7b79427a9aa458f27350506afcea63fb0722b2f634757b13634d9611ed1885dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BwIZIZcgnOCV+TSPk9m99qpHVRQSB2QplMR8HId2/ZfYx8z+N6pB5Gy0Iz6t/2MKySftG7eguEtIKoUb4TYSDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T05:23:16.760473Z","bundle_sha256":"a3d29fa4a1b9ca821b09bbb2e9da3eaa770550d4884005fcbaac231c63e2a2a3"}}