{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4S7AVQADTF626QDYAWF5IVU4W7","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":"881f4f2733251f11dbd5dde1afa3bddd930d72f515bf7e9afd0a47ad8cacf6aa","cross_cats_sorted":["cs.LG","q-bio.NC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-10-31T12:51:36Z","title_canon_sha256":"5ed72006dba3101210b35cd4b15fdc4f4670787a7a7acec11489734dd5bd7b24"},"schema_version":"1.0","source":{"id":"1710.11438","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.11438","created_at":"2026-05-17T23:46:11Z"},{"alias_kind":"arxiv_version","alias_value":"1710.11438v2","created_at":"2026-05-17T23:46:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.11438","created_at":"2026-05-17T23:46:11Z"},{"alias_kind":"pith_short_12","alias_value":"4S7AVQADTF62","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4S7AVQADTF626QDY","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4S7AVQAD","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:7065c830de9404d9a60155f802c699cdbacdab71e38bc4dd7ba3b01691dde1a5","target":"graph","created_at":"2026-05-17T23:46:11Z","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"},"paper":{"abstract_excerpt":"Cognitive neuroscience is enjoying rapid increase in extensive public brain-imaging datasets. It opens the door to large-scale statistical models. Finding a unified perspective for all available data calls for scalable and automated solutions to an old challenge: how to aggregate heterogeneous information on brain function into a universal cognitive system that relates mental operations/cognitive processes/psychological tasks to brain networks? We cast this challenge in a machine-learning approach to predict conditions from statistical brain maps across different studies. For this, we leverage","authors_text":"Arthur Mensch (PARIETAL, Bertrand Thirion (PARIETAL, Danilo Bzdok, Ga\\\"el Varoquaux (PARIETAL, Julien Mairal (Thoth, LJK), NEUROSPIN)","cross_cats":["cs.LG","q-bio.NC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-10-31T12:51:36Z","title":"Learning Neural Representations of Human Cognition across Many fMRI Studies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.11438","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":"sha256:2eae969877aa514324269b72cf55ac3a32ef680a19b1a4e0ad4158ce5dce3216","target":"record","created_at":"2026-05-17T23:46:11Z","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":"881f4f2733251f11dbd5dde1afa3bddd930d72f515bf7e9afd0a47ad8cacf6aa","cross_cats_sorted":["cs.LG","q-bio.NC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-10-31T12:51:36Z","title_canon_sha256":"5ed72006dba3101210b35cd4b15fdc4f4670787a7a7acec11489734dd5bd7b24"},"schema_version":"1.0","source":{"id":"1710.11438","kind":"arxiv","version":2}},"canonical_sha256":"e4be0ac003997daf4078058bd4569cb7eff3761d1d57941be8a5efe03702e9f9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4be0ac003997daf4078058bd4569cb7eff3761d1d57941be8a5efe03702e9f9","first_computed_at":"2026-05-17T23:46:11.280675Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:11.280675Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sHmdC8jF9drdphc5RnssolBMYe1DlPQ+ByaDkhuYH4ep/L2ocUT62iQn+K3ODiYIshk6fYir7Fq3eA2+pylzAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:11.281025Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.11438","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2eae969877aa514324269b72cf55ac3a32ef680a19b1a4e0ad4158ce5dce3216","sha256:7065c830de9404d9a60155f802c699cdbacdab71e38bc4dd7ba3b01691dde1a5"],"state_sha256":"77aa205bb0f2269cf422e3fbfe73d35d0452b432d8b7cd3d225c5c614fe5be74"}