{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:TI67JQYXD7D6Y6QCMTSFTWNSNA","short_pith_number":"pith:TI67JQYX","canonical_record":{"source":{"id":"2105.14409","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2021-05-30T02:06:12Z","cross_cats_sorted":["cs.LG","eess.SP"],"title_canon_sha256":"ac2beeed6aa18e28cbb8864291ec2cd477a87fca0878e20d20ba5cb7ec836d21","abstract_canon_sha256":"5d5f58e815c78b0c388b8063146f5ee3b912ffe81d796c78064934f42d246c37"},"schema_version":"1.0"},"canonical_sha256":"9a3df4c3171fc7ec7a0264e459d9b2683aabe5b7d9bc51ce0dda53e4346f40ac","source":{"kind":"arxiv","id":"2105.14409","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.14409","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"2105.14409v2","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.14409","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"TI67JQYXD7D6","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"pith_short_16","alias_value":"TI67JQYXD7D6Y6QC","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"pith_short_8","alias_value":"TI67JQYX","created_at":"2026-07-05T02:56:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:TI67JQYXD7D6Y6QCMTSFTWNSNA","target":"record","payload":{"canonical_record":{"source":{"id":"2105.14409","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2021-05-30T02:06:12Z","cross_cats_sorted":["cs.LG","eess.SP"],"title_canon_sha256":"ac2beeed6aa18e28cbb8864291ec2cd477a87fca0878e20d20ba5cb7ec836d21","abstract_canon_sha256":"5d5f58e815c78b0c388b8063146f5ee3b912ffe81d796c78064934f42d246c37"},"schema_version":"1.0"},"canonical_sha256":"9a3df4c3171fc7ec7a0264e459d9b2683aabe5b7d9bc51ce0dda53e4346f40ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:56:39.889414Z","signature_b64":"iOe12qwbA7hqj7fwzr7rJrG29alMV/bBQ42hC4f96vXKkKvDjGdzeEVC6Omey51YHuL7rqQHLSA82dgXbzFxAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a3df4c3171fc7ec7a0264e459d9b2683aabe5b7d9bc51ce0dda53e4346f40ac","last_reissued_at":"2026-07-05T02:56:39.888974Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:56:39.888974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.14409","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":"2026-07-05T02:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9aEofrBSundz6KnPbutpEw2EprSiLI4HMp2BY5Q0LgbrkAWXznuc059h16g4ITW9GSMKExSP2O0hbxuXK11uBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T08:41:47.559937Z"},"content_sha256":"de72a78e5b0cd86f5476bc9349cc3ae1b390c3cb0563efc03b5cb54abc5b5916","schema_version":"1.0","event_id":"sha256:de72a78e5b0cd86f5476bc9349cc3ae1b390c3cb0563efc03b5cb54abc5b5916"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:TI67JQYXD7D6Y6QCMTSFTWNSNA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.SP"],"primary_cat":"q-bio.NC","authors_text":"Archana Venkataraman, Deana Crocetti, Joshua Robinson, Mary Beth Nebel, Nicholas Wymbs, Niharika Shimona D'Souza, Stewart Mostofsky","submitted_at":"2021-05-30T02:06:12Z","abstract_excerpt":"We propose a novel matrix autoencoder to map functional connectomes from resting state fMRI (rs-fMRI) to structural connectomes from Diffusion Tensor Imaging (DTI), as guided by subject-level phenotypic measures. Our specialized autoencoder infers a low dimensional manifold embedding for the rs-fMRI correlation matrices that mimics a canonical outer-product decomposition. The embedding is simultaneously used to reconstruct DTI tractography matrices via a second manifold alignment decoder and to predict inter-subject phenotypic variability via an artificial neural network. We validate our frame"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.14409","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/2105.14409/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":"2026-07-05T02:56:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3L83ZSCj+5bnRi+++4Z3lhmMBwAb5R9Y3dHKDawFihDp+G2zBigHJEvGzkLCiUGWYQK9/PnRF1sdnwDqDqz5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T08:41:47.560467Z"},"content_sha256":"037ce855bbaf9456260cc0311b8dd3b1ac6c72b7d28e00f0d031b5174651a904","schema_version":"1.0","event_id":"sha256:037ce855bbaf9456260cc0311b8dd3b1ac6c72b7d28e00f0d031b5174651a904"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TI67JQYXD7D6Y6QCMTSFTWNSNA/bundle.json","state_url":"https://pith.science/pith/TI67JQYXD7D6Y6QCMTSFTWNSNA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TI67JQYXD7D6Y6QCMTSFTWNSNA/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":"2026-08-18T08:41:47Z","links":{"resolver":"https://pith.science/pith/TI67JQYXD7D6Y6QCMTSFTWNSNA","bundle":"https://pith.science/pith/TI67JQYXD7D6Y6QCMTSFTWNSNA/bundle.json","state":"https://pith.science/pith/TI67JQYXD7D6Y6QCMTSFTWNSNA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TI67JQYXD7D6Y6QCMTSFTWNSNA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:TI67JQYXD7D6Y6QCMTSFTWNSNA","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":"5d5f58e815c78b0c388b8063146f5ee3b912ffe81d796c78064934f42d246c37","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2021-05-30T02:06:12Z","title_canon_sha256":"ac2beeed6aa18e28cbb8864291ec2cd477a87fca0878e20d20ba5cb7ec836d21"},"schema_version":"1.0","source":{"id":"2105.14409","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.14409","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"arxiv_version","alias_value":"2105.14409v2","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.14409","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"pith_short_12","alias_value":"TI67JQYXD7D6","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"pith_short_16","alias_value":"TI67JQYXD7D6Y6QC","created_at":"2026-07-05T02:56:39Z"},{"alias_kind":"pith_short_8","alias_value":"TI67JQYX","created_at":"2026-07-05T02:56:39Z"}],"graph_snapshots":[{"event_id":"sha256:037ce855bbaf9456260cc0311b8dd3b1ac6c72b7d28e00f0d031b5174651a904","target":"graph","created_at":"2026-07-05T02:56:39Z","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/2105.14409/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a novel matrix autoencoder to map functional connectomes from resting state fMRI (rs-fMRI) to structural connectomes from Diffusion Tensor Imaging (DTI), as guided by subject-level phenotypic measures. Our specialized autoencoder infers a low dimensional manifold embedding for the rs-fMRI correlation matrices that mimics a canonical outer-product decomposition. The embedding is simultaneously used to reconstruct DTI tractography matrices via a second manifold alignment decoder and to predict inter-subject phenotypic variability via an artificial neural network. We validate our frame","authors_text":"Archana Venkataraman, Deana Crocetti, Joshua Robinson, Mary Beth Nebel, Nicholas Wymbs, Niharika Shimona D'Souza, Stewart Mostofsky","cross_cats":["cs.LG","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2021-05-30T02:06:12Z","title":"A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.14409","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:de72a78e5b0cd86f5476bc9349cc3ae1b390c3cb0563efc03b5cb54abc5b5916","target":"record","created_at":"2026-07-05T02:56:39Z","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":"5d5f58e815c78b0c388b8063146f5ee3b912ffe81d796c78064934f42d246c37","cross_cats_sorted":["cs.LG","eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.NC","submitted_at":"2021-05-30T02:06:12Z","title_canon_sha256":"ac2beeed6aa18e28cbb8864291ec2cd477a87fca0878e20d20ba5cb7ec836d21"},"schema_version":"1.0","source":{"id":"2105.14409","kind":"arxiv","version":2}},"canonical_sha256":"9a3df4c3171fc7ec7a0264e459d9b2683aabe5b7d9bc51ce0dda53e4346f40ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a3df4c3171fc7ec7a0264e459d9b2683aabe5b7d9bc51ce0dda53e4346f40ac","first_computed_at":"2026-07-05T02:56:39.888974Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:56:39.888974Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iOe12qwbA7hqj7fwzr7rJrG29alMV/bBQ42hC4f96vXKkKvDjGdzeEVC6Omey51YHuL7rqQHLSA82dgXbzFxAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:56:39.889414Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.14409","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de72a78e5b0cd86f5476bc9349cc3ae1b390c3cb0563efc03b5cb54abc5b5916","sha256:037ce855bbaf9456260cc0311b8dd3b1ac6c72b7d28e00f0d031b5174651a904"],"state_sha256":"c93b12618057a9128e98c4d25aede4d4f8f125be689356bb03325f4338890b24"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zMBTkVMcTSPgdPKSy36ZfIlU5egCUnmiVSoEcnjWke0mamAo7IEm/YW32dTfzprG2uYnVTgO5GCokfhUR47nAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T08:41:47.565938Z","bundle_sha256":"8f6fe8b4b491209596b156701b6ae9eabfb010f3d8f4881807a24ea13541ac83"}}