{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:P4H7Q5K5KDK6RQ2WYRG6QLZJVR","short_pith_number":"pith:P4H7Q5K5","canonical_record":{"source":{"id":"2601.10912","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-16T00:06:39Z","cross_cats_sorted":["eess.IV","q-bio.QM"],"title_canon_sha256":"ab1b3e18b3d014d344fae7a33953de8b1003b9718dec9db1636857cf3bfe6852","abstract_canon_sha256":"d8eba9d4f72b45855eed74ec3b7d394de8374caf0304edb59a13ed761f24ac8d"},"schema_version":"1.0"},"canonical_sha256":"7f0ff8755d50d5e8c356c44de82f29ac42f6d541af1ac4b23e91477197c16d84","source":{"kind":"arxiv","id":"2601.10912","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.10912","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"arxiv_version","alias_value":"2601.10912v5","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.10912","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"pith_short_12","alias_value":"P4H7Q5K5KDK6","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"pith_short_16","alias_value":"P4H7Q5K5KDK6RQ2W","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"pith_short_8","alias_value":"P4H7Q5K5","created_at":"2026-05-29T01:04:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:P4H7Q5K5KDK6RQ2WYRG6QLZJVR","target":"record","payload":{"canonical_record":{"source":{"id":"2601.10912","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-16T00:06:39Z","cross_cats_sorted":["eess.IV","q-bio.QM"],"title_canon_sha256":"ab1b3e18b3d014d344fae7a33953de8b1003b9718dec9db1636857cf3bfe6852","abstract_canon_sha256":"d8eba9d4f72b45855eed74ec3b7d394de8374caf0304edb59a13ed761f24ac8d"},"schema_version":"1.0"},"canonical_sha256":"7f0ff8755d50d5e8c356c44de82f29ac42f6d541af1ac4b23e91477197c16d84","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T01:04:36.420517Z","signature_b64":"xLq22SL+aoGKqhB3gbYxRcL2hcQK4k3Vg/ZKqSddk5fDDFKV/b/ddSzJQjVi/GLfu1MHA4OGio3VqqW2eHUHDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f0ff8755d50d5e8c356c44de82f29ac42f6d541af1ac4b23e91477197c16d84","last_reissued_at":"2026-05-29T01:04:36.420007Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T01:04:36.420007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.10912","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-29T01:04:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m6NKo3gMeX248U9x5c9qx0sM7DssEL14ZqOTB8bS9+lYixUVXkQRR3SFfLos1p2R8vxKH+GBvMS4LwB6ewDYBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T19:44:57.183702Z"},"content_sha256":"c1e6c1c13efcd691f9b11f9194d54f633c72371fd3e15b5b2a4abe652fac4f21","schema_version":"1.0","event_id":"sha256:c1e6c1c13efcd691f9b11f9194d54f633c72371fd3e15b5b2a4abe652fac4f21"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:P4H7Q5K5KDK6RQ2WYRG6QLZJVR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph Neural Network Reveals the Cortical Morphology of Local Brain Aging in Normal Cognition and Alzheimer's Disease","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV","q-bio.QM"],"primary_cat":"q-bio.NC","authors_text":"Alzheimers Disease Neuroimaging Initiative, Andrei Irimia, Jordan Jomsky, Nahian F. Chowdhury, Nikhil N. Chaudhari, Samuel D. Anderson, Xiaoyu (Rayne) Zheng","submitted_at":"2026-01-16T00:06:39Z","abstract_excerpt":"Estimating brain age (BA) from T1-weighted magnetic resonance images (MRIs) provides a powerful framework for quantifying anatomical brain aging. Whereas global BA (GBA) summarizes overall brain health, local BA (LBA) provides cortically specific patterns of aging at the subject level. Although previous studies have examined anatomical contributors to GBA, to our knowledge, no framework has been established to estimate LBA using cortical morphology. To address this gap, we introduce a graph neural network (GNN) that uses morphometric features$\\unicode{x2013}$cortical thickness, surface area, c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.10912","kind":"arxiv","version":5},"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/2601.10912/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":"2026-05-29T01:04:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"02Hgm0o542FXoGEmHa3JkNqI3yZtzitvXLMUiy1wbUrVj4tLjlNAHJLyPxQRFJ3LzIbtR7romDP7l0EXz7OxDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T19:44:57.184076Z"},"content_sha256":"b18e78f07637c56d503446680f84e004448190215fe28652fa14a7311932a872","schema_version":"1.0","event_id":"sha256:b18e78f07637c56d503446680f84e004448190215fe28652fa14a7311932a872"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P4H7Q5K5KDK6RQ2WYRG6QLZJVR/bundle.json","state_url":"https://pith.science/pith/P4H7Q5K5KDK6RQ2WYRG6QLZJVR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P4H7Q5K5KDK6RQ2WYRG6QLZJVR/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":"2026-06-30T19:44:57Z","links":{"resolver":"https://pith.science/pith/P4H7Q5K5KDK6RQ2WYRG6QLZJVR","bundle":"https://pith.science/pith/P4H7Q5K5KDK6RQ2WYRG6QLZJVR/bundle.json","state":"https://pith.science/pith/P4H7Q5K5KDK6RQ2WYRG6QLZJVR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P4H7Q5K5KDK6RQ2WYRG6QLZJVR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:P4H7Q5K5KDK6RQ2WYRG6QLZJVR","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":"d8eba9d4f72b45855eed74ec3b7d394de8374caf0304edb59a13ed761f24ac8d","cross_cats_sorted":["eess.IV","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-16T00:06:39Z","title_canon_sha256":"ab1b3e18b3d014d344fae7a33953de8b1003b9718dec9db1636857cf3bfe6852"},"schema_version":"1.0","source":{"id":"2601.10912","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.10912","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"arxiv_version","alias_value":"2601.10912v5","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.10912","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"pith_short_12","alias_value":"P4H7Q5K5KDK6","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"pith_short_16","alias_value":"P4H7Q5K5KDK6RQ2W","created_at":"2026-05-29T01:04:36Z"},{"alias_kind":"pith_short_8","alias_value":"P4H7Q5K5","created_at":"2026-05-29T01:04:36Z"}],"graph_snapshots":[{"event_id":"sha256:b18e78f07637c56d503446680f84e004448190215fe28652fa14a7311932a872","target":"graph","created_at":"2026-05-29T01:04:36Z","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/2601.10912/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimating brain age (BA) from T1-weighted magnetic resonance images (MRIs) provides a powerful framework for quantifying anatomical brain aging. Whereas global BA (GBA) summarizes overall brain health, local BA (LBA) provides cortically specific patterns of aging at the subject level. Although previous studies have examined anatomical contributors to GBA, to our knowledge, no framework has been established to estimate LBA using cortical morphology. To address this gap, we introduce a graph neural network (GNN) that uses morphometric features$\\unicode{x2013}$cortical thickness, surface area, c","authors_text":"Alzheimers Disease Neuroimaging Initiative, Andrei Irimia, Jordan Jomsky, Nahian F. Chowdhury, Nikhil N. Chaudhari, Samuel D. Anderson, Xiaoyu (Rayne) Zheng","cross_cats":["eess.IV","q-bio.QM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-16T00:06:39Z","title":"Graph Neural Network Reveals the Cortical Morphology of Local Brain Aging in Normal Cognition and Alzheimer's Disease"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.10912","kind":"arxiv","version":5},"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:c1e6c1c13efcd691f9b11f9194d54f633c72371fd3e15b5b2a4abe652fac4f21","target":"record","created_at":"2026-05-29T01:04:36Z","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":"d8eba9d4f72b45855eed74ec3b7d394de8374caf0304edb59a13ed761f24ac8d","cross_cats_sorted":["eess.IV","q-bio.QM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2026-01-16T00:06:39Z","title_canon_sha256":"ab1b3e18b3d014d344fae7a33953de8b1003b9718dec9db1636857cf3bfe6852"},"schema_version":"1.0","source":{"id":"2601.10912","kind":"arxiv","version":5}},"canonical_sha256":"7f0ff8755d50d5e8c356c44de82f29ac42f6d541af1ac4b23e91477197c16d84","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f0ff8755d50d5e8c356c44de82f29ac42f6d541af1ac4b23e91477197c16d84","first_computed_at":"2026-05-29T01:04:36.420007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:04:36.420007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xLq22SL+aoGKqhB3gbYxRcL2hcQK4k3Vg/ZKqSddk5fDDFKV/b/ddSzJQjVi/GLfu1MHA4OGio3VqqW2eHUHDA==","signature_status":"signed_v1","signed_at":"2026-05-29T01:04:36.420517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.10912","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1e6c1c13efcd691f9b11f9194d54f633c72371fd3e15b5b2a4abe652fac4f21","sha256:b18e78f07637c56d503446680f84e004448190215fe28652fa14a7311932a872"],"state_sha256":"60f34fd90afb42233e220f756449d9408af3a2871fd29bd8b707672aa5440f4c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5A44YplEl4ArgfuObwn3iDSBigEjc34hp647hke41XM69OdeNBQ2wmSvADM23dMVht5ItNmPOPyz2VNFDsHEDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T19:44:57.186335Z","bundle_sha256":"edf8e641698269a80538b6dd8d37c6d0276cbd04812c2539f96af8eb81eaed7f"}}