{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:U7Q4FKMNZMEDV47YGRSFW4DLI6","short_pith_number":"pith:U7Q4FKMN","canonical_record":{"source":{"id":"2502.21049","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T13:45:09Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"6f837656dd4137e6cbac286a796f26b1e19a5adefecde1c9bae8e59a9af17cbf","abstract_canon_sha256":"0fd4b201fb8a2e0f40363c626551e9fd0c2915d2f2b4d4451dbb4d7c86137d52"},"schema_version":"1.0"},"canonical_sha256":"a7e1c2a98dcb083af3f834645b706b4798acb7a7df3a895491cc76ae8f539afb","source":{"kind":"arxiv","id":"2502.21049","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.21049","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.21049v1","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.21049","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"pith_short_12","alias_value":"U7Q4FKMNZMED","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"pith_short_16","alias_value":"U7Q4FKMNZMEDV47Y","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"pith_short_8","alias_value":"U7Q4FKMN","created_at":"2026-07-05T11:24:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:U7Q4FKMNZMEDV47YGRSFW4DLI6","target":"record","payload":{"canonical_record":{"source":{"id":"2502.21049","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T13:45:09Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"6f837656dd4137e6cbac286a796f26b1e19a5adefecde1c9bae8e59a9af17cbf","abstract_canon_sha256":"0fd4b201fb8a2e0f40363c626551e9fd0c2915d2f2b4d4451dbb4d7c86137d52"},"schema_version":"1.0"},"canonical_sha256":"a7e1c2a98dcb083af3f834645b706b4798acb7a7df3a895491cc76ae8f539afb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:15.203835Z","signature_b64":"/KYya3GVKBEMpLVCPKoy1NsUHSFk77XYUQmBlrs8waEFBvb2f/xlMFniIXLsew5oBolsFI6X94NfWO17CxQYDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a7e1c2a98dcb083af3f834645b706b4798acb7a7df3a895491cc76ae8f539afb","last_reissued_at":"2026-07-05T11:24:15.203279Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:15.203279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.21049","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:24:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VG87vuPcq6Rn2iZhB6bsNOSaAhuiSTupWXh8o4HNc01/aZmVIGMatEvxRPYROnrsBGuAOeyB6hciaKQDXByrAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:26:59.356010Z"},"content_sha256":"4cd61834f765ab3f6e4345621ba36011b545ec61287e3dd4563da54d69772c11","schema_version":"1.0","event_id":"sha256:4cd61834f765ab3f6e4345621ba36011b545ec61287e3dd4563da54d69772c11"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:U7Q4FKMNZMEDV47YGRSFW4DLI6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Daniel Ferreira, JingRu Fu, Neel Dey, Rodrigo Moreno, Yuqi Zheng","submitted_at":"2025-02-28T13:45:09Z","abstract_excerpt":"Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image is challenging, as it requires accounting for canonical changes in aging and/or disease progression while also considering the individual brain's current status and unique characteristics. While current deep generative models can produce high-resolution anatomically accurate templates for population-wide studies, their ability to predict future aging trajectories for individuals remains limited, particularly in capturing subject-specific neuroanatomical variations over time. In this study, we intr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.21049","kind":"arxiv","version":1},"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/2502.21049/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":"2026-07-05T11:24:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V81CTmUYI/INjmRd8V1JPZb4oPYUjJdFokaA0pi9a1Axp5CB1JVq88WGnElcjAgPdZihvMbw5oYC1rtKdr2FDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:26:59.356405Z"},"content_sha256":"65a23a908635d3564ad1f12f5e4cd87238672aa88f1779187499a6216b07f34d","schema_version":"1.0","event_id":"sha256:65a23a908635d3564ad1f12f5e4cd87238672aa88f1779187499a6216b07f34d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U7Q4FKMNZMEDV47YGRSFW4DLI6/bundle.json","state_url":"https://pith.science/pith/U7Q4FKMNZMEDV47YGRSFW4DLI6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U7Q4FKMNZMEDV47YGRSFW4DLI6/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":"2026-08-19T15:26:59Z","links":{"resolver":"https://pith.science/pith/U7Q4FKMNZMEDV47YGRSFW4DLI6","bundle":"https://pith.science/pith/U7Q4FKMNZMEDV47YGRSFW4DLI6/bundle.json","state":"https://pith.science/pith/U7Q4FKMNZMEDV47YGRSFW4DLI6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U7Q4FKMNZMEDV47YGRSFW4DLI6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:U7Q4FKMNZMEDV47YGRSFW4DLI6","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":"0fd4b201fb8a2e0f40363c626551e9fd0c2915d2f2b4d4451dbb4d7c86137d52","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T13:45:09Z","title_canon_sha256":"6f837656dd4137e6cbac286a796f26b1e19a5adefecde1c9bae8e59a9af17cbf"},"schema_version":"1.0","source":{"id":"2502.21049","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.21049","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"arxiv_version","alias_value":"2502.21049v1","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.21049","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"pith_short_12","alias_value":"U7Q4FKMNZMED","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"pith_short_16","alias_value":"U7Q4FKMNZMEDV47Y","created_at":"2026-07-05T11:24:15Z"},{"alias_kind":"pith_short_8","alias_value":"U7Q4FKMN","created_at":"2026-07-05T11:24:15Z"}],"graph_snapshots":[{"event_id":"sha256:65a23a908635d3564ad1f12f5e4cd87238672aa88f1779187499a6216b07f34d","target":"graph","created_at":"2026-07-05T11:24:15Z","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/2502.21049/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Simulating prospective magnetic resonance imaging (MRI) scans from a given individual brain image is challenging, as it requires accounting for canonical changes in aging and/or disease progression while also considering the individual brain's current status and unique characteristics. While current deep generative models can produce high-resolution anatomically accurate templates for population-wide studies, their ability to predict future aging trajectories for individuals remains limited, particularly in capturing subject-specific neuroanatomical variations over time. In this study, we intr","authors_text":"Daniel Ferreira, JingRu Fu, Neel Dey, Rodrigo Moreno, Yuqi Zheng","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T13:45:09Z","title":"Synthesizing Individualized Aging Brains in Health and Disease with Generative Models and Parallel Transport"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.21049","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":"sha256:4cd61834f765ab3f6e4345621ba36011b545ec61287e3dd4563da54d69772c11","target":"record","created_at":"2026-07-05T11:24:15Z","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":"0fd4b201fb8a2e0f40363c626551e9fd0c2915d2f2b4d4451dbb4d7c86137d52","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-28T13:45:09Z","title_canon_sha256":"6f837656dd4137e6cbac286a796f26b1e19a5adefecde1c9bae8e59a9af17cbf"},"schema_version":"1.0","source":{"id":"2502.21049","kind":"arxiv","version":1}},"canonical_sha256":"a7e1c2a98dcb083af3f834645b706b4798acb7a7df3a895491cc76ae8f539afb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a7e1c2a98dcb083af3f834645b706b4798acb7a7df3a895491cc76ae8f539afb","first_computed_at":"2026-07-05T11:24:15.203279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:24:15.203279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/KYya3GVKBEMpLVCPKoy1NsUHSFk77XYUQmBlrs8waEFBvb2f/xlMFniIXLsew5oBolsFI6X94NfWO17CxQYDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:24:15.203835Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.21049","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4cd61834f765ab3f6e4345621ba36011b545ec61287e3dd4563da54d69772c11","sha256:65a23a908635d3564ad1f12f5e4cd87238672aa88f1779187499a6216b07f34d"],"state_sha256":"7f072beb5c848c872773419cebd72e2cb45548b21a6c4ac426c42777b901a623"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"saIn/akKP4KbWaHM73hUSYBcgSo5PVXSj1myEt1wywU51SZeLD++lRqWYoDdRsDrNLZrqfA88Rj1iwE2wOEGBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T15:26:59.358986Z","bundle_sha256":"a68cf4d7b6fda7423403e91e2a2760b4ac9133e5096a98ff065b51a717cb60af"}}