{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:A7F73PHTRBDLMXCDO5PE6IR2PY","short_pith_number":"pith:A7F73PHT","canonical_record":{"source":{"id":"2307.04639","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T15:35:31Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0c68602a21ff3bfbc07c930a5f531e31d9c69aedd0a9db24123d202c68283c8b","abstract_canon_sha256":"319c7013ba5bddebe42cef9fa9fe78ffb1949f9e31942d2293285a697d7782ef"},"schema_version":"1.0"},"canonical_sha256":"07cbfdbcf38846b65c43775e4f223a7e0d717277f70882aeb28cbffc468bbfa1","source":{"kind":"arxiv","id":"2307.04639","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.04639","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"arxiv_version","alias_value":"2307.04639v2","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.04639","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_12","alias_value":"A7F73PHTRBDL","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"A7F73PHTRBDLMXCD","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"A7F73PHT","created_at":"2026-07-05T06:32:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:A7F73PHTRBDLMXCDO5PE6IR2PY","target":"record","payload":{"canonical_record":{"source":{"id":"2307.04639","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T15:35:31Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"0c68602a21ff3bfbc07c930a5f531e31d9c69aedd0a9db24123d202c68283c8b","abstract_canon_sha256":"319c7013ba5bddebe42cef9fa9fe78ffb1949f9e31942d2293285a697d7782ef"},"schema_version":"1.0"},"canonical_sha256":"07cbfdbcf38846b65c43775e4f223a7e0d717277f70882aeb28cbffc468bbfa1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:32:40.360255Z","signature_b64":"s53IJTgzWKbg/t+xILWKITjYtbsrbfIjpkfBK/+DI8If04yxpuP70f4k6q2LI19m0rMQ9CVYvlkVivJiy1heBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"07cbfdbcf38846b65c43775e4f223a7e0d717277f70882aeb28cbffc468bbfa1","last_reissued_at":"2026-07-05T06:32:40.359741Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:32:40.359741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.04639","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:32:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jf3gbwaaDn/43jdZXFqnWAP/UHxpJF/Yp76j5LrFGG2CQu+mPL56SKpVA3BkZdjJArAD2UGMsGpGELvpE7cLBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T23:21:06.803920Z"},"content_sha256":"051872dd84cb5d06c3924f4eb3c8bc68f6de57fe22821328b96db33340038a68","schema_version":"1.0","event_id":"sha256:051872dd84cb5d06c3924f4eb3c8bc68f6de57fe22821328b96db33340038a68"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:A7F73PHTRBDLMXCDO5PE6IR2PY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal brain age estimation using interpretable adaptive population-graph learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Alexander Hammers, Daniel Rueckert, Kyriaki-Margarita Bintsi, Rolandos Alexandros Potamias, Vasileios Baltatzis","submitted_at":"2023-07-10T15:35:31Z","abstract_excerpt":"Brain age estimation is clinically important as it can provide valuable information in the context of neurodegenerative diseases such as Alzheimer's. Population graphs, which include multimodal imaging information of the subjects along with the relationships among the population, have been used in literature along with Graph Convolutional Networks (GCNs) and have proved beneficial for a variety of medical imaging tasks. A population graph is usually static and constructed manually using non-imaging information. However, graph construction is not a trivial task and might significantly affect th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.04639","kind":"arxiv","version":2},"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/2307.04639/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":"2026-07-05T06:32:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bKo3zvguKe+lhCwDNhr7AtiyxdCuxZPV3ie0veOG501o4mqm6kVTqxggB5rS0MVJjEqUjVUvpsWV8nTOv8I8Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T23:21:06.804652Z"},"content_sha256":"f9f281e7e3dbd2f570530ff73cf800025d39cababe6b74f233157e26dcb4424d","schema_version":"1.0","event_id":"sha256:f9f281e7e3dbd2f570530ff73cf800025d39cababe6b74f233157e26dcb4424d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/A7F73PHTRBDLMXCDO5PE6IR2PY/bundle.json","state_url":"https://pith.science/pith/A7F73PHTRBDLMXCDO5PE6IR2PY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/A7F73PHTRBDLMXCDO5PE6IR2PY/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":"2026-08-23T23:21:06Z","links":{"resolver":"https://pith.science/pith/A7F73PHTRBDLMXCDO5PE6IR2PY","bundle":"https://pith.science/pith/A7F73PHTRBDLMXCDO5PE6IR2PY/bundle.json","state":"https://pith.science/pith/A7F73PHTRBDLMXCDO5PE6IR2PY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/A7F73PHTRBDLMXCDO5PE6IR2PY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:A7F73PHTRBDLMXCDO5PE6IR2PY","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":"319c7013ba5bddebe42cef9fa9fe78ffb1949f9e31942d2293285a697d7782ef","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T15:35:31Z","title_canon_sha256":"0c68602a21ff3bfbc07c930a5f531e31d9c69aedd0a9db24123d202c68283c8b"},"schema_version":"1.0","source":{"id":"2307.04639","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.04639","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"arxiv_version","alias_value":"2307.04639v2","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.04639","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_12","alias_value":"A7F73PHTRBDL","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_16","alias_value":"A7F73PHTRBDLMXCD","created_at":"2026-07-05T06:32:40Z"},{"alias_kind":"pith_short_8","alias_value":"A7F73PHT","created_at":"2026-07-05T06:32:40Z"}],"graph_snapshots":[{"event_id":"sha256:f9f281e7e3dbd2f570530ff73cf800025d39cababe6b74f233157e26dcb4424d","target":"graph","created_at":"2026-07-05T06:32:40Z","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/2307.04639/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Brain age estimation is clinically important as it can provide valuable information in the context of neurodegenerative diseases such as Alzheimer's. Population graphs, which include multimodal imaging information of the subjects along with the relationships among the population, have been used in literature along with Graph Convolutional Networks (GCNs) and have proved beneficial for a variety of medical imaging tasks. A population graph is usually static and constructed manually using non-imaging information. However, graph construction is not a trivial task and might significantly affect th","authors_text":"Alexander Hammers, Daniel Rueckert, Kyriaki-Margarita Bintsi, Rolandos Alexandros Potamias, Vasileios Baltatzis","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T15:35:31Z","title":"Multimodal brain age estimation using interpretable adaptive population-graph learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.04639","kind":"arxiv","version":2},"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":"sha256:051872dd84cb5d06c3924f4eb3c8bc68f6de57fe22821328b96db33340038a68","target":"record","created_at":"2026-07-05T06:32:40Z","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":"319c7013ba5bddebe42cef9fa9fe78ffb1949f9e31942d2293285a697d7782ef","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-07-10T15:35:31Z","title_canon_sha256":"0c68602a21ff3bfbc07c930a5f531e31d9c69aedd0a9db24123d202c68283c8b"},"schema_version":"1.0","source":{"id":"2307.04639","kind":"arxiv","version":2}},"canonical_sha256":"07cbfdbcf38846b65c43775e4f223a7e0d717277f70882aeb28cbffc468bbfa1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"07cbfdbcf38846b65c43775e4f223a7e0d717277f70882aeb28cbffc468bbfa1","first_computed_at":"2026-07-05T06:32:40.359741Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:32:40.359741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s53IJTgzWKbg/t+xILWKITjYtbsrbfIjpkfBK/+DI8If04yxpuP70f4k6q2LI19m0rMQ9CVYvlkVivJiy1heBg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:32:40.360255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.04639","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:051872dd84cb5d06c3924f4eb3c8bc68f6de57fe22821328b96db33340038a68","sha256:f9f281e7e3dbd2f570530ff73cf800025d39cababe6b74f233157e26dcb4424d"],"state_sha256":"7b002d42a84e92df963e19df4031b86a99a53d0d68e4556ac2032a0502c0b8e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qCZMCzc0OhV9Zr+gbKSTFOcCVGiK7ZNQeaFEvHUXEzy91zpdaQIjMmOl69w3Qaz9BB9T9Ra2uIP44qQ6DILbAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T23:21:06.815364Z","bundle_sha256":"932580517691288031d51760ddb9607ee6b90fc4c819ec44cf5ae67c3e74638b"}}