{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:I3WYNT26BK75RU57QE4AY7D2NZ","short_pith_number":"pith:I3WYNT26","canonical_record":{"source":{"id":"1603.06624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-21T21:31:36Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"3efe46667934280041db937f3a772ab56e134ea1f1142e002fc6678bea5bc4ab","abstract_canon_sha256":"98f88a5f6d97bfa23ab457cd4f53e42aff45a74599978f8054fc678e65b0a6ae"},"schema_version":"1.0"},"canonical_sha256":"46ed86cf5e0abfd8d3bf81380c7c7a6e6d634c4a3afd73ccbe3764c8e85509ce","source":{"kind":"arxiv","id":"1603.06624","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.06624","created_at":"2026-05-18T01:18:35Z"},{"alias_kind":"arxiv_version","alias_value":"1603.06624v1","created_at":"2026-05-18T01:18:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.06624","created_at":"2026-05-18T01:18:35Z"},{"alias_kind":"pith_short_12","alias_value":"I3WYNT26BK75","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"I3WYNT26BK75RU57","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"I3WYNT26","created_at":"2026-05-18T12:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:I3WYNT26BK75RU57QE4AY7D2NZ","target":"record","payload":{"canonical_record":{"source":{"id":"1603.06624","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-21T21:31:36Z","cross_cats_sorted":["cs.NE","stat.ML"],"title_canon_sha256":"3efe46667934280041db937f3a772ab56e134ea1f1142e002fc6678bea5bc4ab","abstract_canon_sha256":"98f88a5f6d97bfa23ab457cd4f53e42aff45a74599978f8054fc678e65b0a6ae"},"schema_version":"1.0"},"canonical_sha256":"46ed86cf5e0abfd8d3bf81380c7c7a6e6d634c4a3afd73ccbe3764c8e85509ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:18:35.084636Z","signature_b64":"hwcQpbNnfXuw2Zsc9OLOba49rsIJfvuXGtR5OKLHKStr0c5SoOsRyhN/anOQHgXHaEvh+tFdLKqXP96HC+p3BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46ed86cf5e0abfd8d3bf81380c7c7a6e6d634c4a3afd73ccbe3764c8e85509ce","last_reissued_at":"2026-05-18T01:18:35.084137Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:18:35.084137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1603.06624","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":"2026-05-18T01:18:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y5/ELpyD/bCCjVUcBYl+q1857Y9R0lVFdC7JwdP0wuoK1P3J8wvjQKdQVi5L9lu2T3meppC5jmBzq5afVw5TDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T14:50:55.313258Z"},"content_sha256":"9ee0d6aa24c5b2ed892d7733415830c3c02e34dfe48e7889380ca6bfbbe71f11","schema_version":"1.0","event_id":"sha256:9ee0d6aa24c5b2ed892d7733415830c3c02e34dfe48e7889380ca6bfbbe71f11"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:I3WYNT26BK75RU57QE4AY7D2NZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE","stat.ML"],"primary_cat":"cs.LG","authors_text":"R. Devon Hjelm, Sergey M. Plis, Vince C. Calhoun","submitted_at":"2016-03-21T21:31:36Z","abstract_excerpt":"Independent component analysis (ICA), as an approach to the blind source-separation (BSS) problem, has become the de-facto standard in many medical imaging settings. Despite successes and a large ongoing research effort, the limitation of ICA to square linear transformations have not been overcome, so that general INFOMAX is still far from being realized. As an alternative, we present feature analysis in medical imaging as a problem solved by Helmholtz machines, which include dimensionality reduction and reconstruction of the raw data under the same objective, and which recently have overcome "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.06624","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":""},"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":"2026-05-18T01:18:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h13CNfcdNzxiEcloGeZBCcvQIdMdLfk9W3oAtWjLE2aYhFafhBv8Bh8SvtVhE6c9SYqTCDkj9FUXKcCaRM5hDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T14:50:55.313673Z"},"content_sha256":"c1ffe45bbfed3a39b2777ff3f98bf2f920c0108a33ec800a912a1a1141cef911","schema_version":"1.0","event_id":"sha256:c1ffe45bbfed3a39b2777ff3f98bf2f920c0108a33ec800a912a1a1141cef911"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I3WYNT26BK75RU57QE4AY7D2NZ/bundle.json","state_url":"https://pith.science/pith/I3WYNT26BK75RU57QE4AY7D2NZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I3WYNT26BK75RU57QE4AY7D2NZ/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":"2026-05-30T14:50:55Z","links":{"resolver":"https://pith.science/pith/I3WYNT26BK75RU57QE4AY7D2NZ","bundle":"https://pith.science/pith/I3WYNT26BK75RU57QE4AY7D2NZ/bundle.json","state":"https://pith.science/pith/I3WYNT26BK75RU57QE4AY7D2NZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I3WYNT26BK75RU57QE4AY7D2NZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:I3WYNT26BK75RU57QE4AY7D2NZ","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":"98f88a5f6d97bfa23ab457cd4f53e42aff45a74599978f8054fc678e65b0a6ae","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-21T21:31:36Z","title_canon_sha256":"3efe46667934280041db937f3a772ab56e134ea1f1142e002fc6678bea5bc4ab"},"schema_version":"1.0","source":{"id":"1603.06624","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.06624","created_at":"2026-05-18T01:18:35Z"},{"alias_kind":"arxiv_version","alias_value":"1603.06624v1","created_at":"2026-05-18T01:18:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.06624","created_at":"2026-05-18T01:18:35Z"},{"alias_kind":"pith_short_12","alias_value":"I3WYNT26BK75","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"I3WYNT26BK75RU57","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"I3WYNT26","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:c1ffe45bbfed3a39b2777ff3f98bf2f920c0108a33ec800a912a1a1141cef911","target":"graph","created_at":"2026-05-18T01:18:35Z","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":"Independent component analysis (ICA), as an approach to the blind source-separation (BSS) problem, has become the de-facto standard in many medical imaging settings. Despite successes and a large ongoing research effort, the limitation of ICA to square linear transformations have not been overcome, so that general INFOMAX is still far from being realized. As an alternative, we present feature analysis in medical imaging as a problem solved by Helmholtz machines, which include dimensionality reduction and reconstruction of the raw data under the same objective, and which recently have overcome ","authors_text":"R. Devon Hjelm, Sergey M. Plis, Vince C. Calhoun","cross_cats":["cs.NE","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-21T21:31:36Z","title":"Variational Autoencoders for Feature Detection of Magnetic Resonance Imaging Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.06624","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":"sha256:9ee0d6aa24c5b2ed892d7733415830c3c02e34dfe48e7889380ca6bfbbe71f11","target":"record","created_at":"2026-05-18T01:18:35Z","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":"98f88a5f6d97bfa23ab457cd4f53e42aff45a74599978f8054fc678e65b0a6ae","cross_cats_sorted":["cs.NE","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-21T21:31:36Z","title_canon_sha256":"3efe46667934280041db937f3a772ab56e134ea1f1142e002fc6678bea5bc4ab"},"schema_version":"1.0","source":{"id":"1603.06624","kind":"arxiv","version":1}},"canonical_sha256":"46ed86cf5e0abfd8d3bf81380c7c7a6e6d634c4a3afd73ccbe3764c8e85509ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46ed86cf5e0abfd8d3bf81380c7c7a6e6d634c4a3afd73ccbe3764c8e85509ce","first_computed_at":"2026-05-18T01:18:35.084137Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:18:35.084137Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hwcQpbNnfXuw2Zsc9OLOba49rsIJfvuXGtR5OKLHKStr0c5SoOsRyhN/anOQHgXHaEvh+tFdLKqXP96HC+p3BQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:18:35.084636Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.06624","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ee0d6aa24c5b2ed892d7733415830c3c02e34dfe48e7889380ca6bfbbe71f11","sha256:c1ffe45bbfed3a39b2777ff3f98bf2f920c0108a33ec800a912a1a1141cef911"],"state_sha256":"ea0f4e981fe63553ad18185eb71af525cf4e1c9f46665eafd6188b2338978d51"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zj66FeuZihnOYYZC3SjIpKDlzVhLh01U2H+7lGGZN19zkpUNA4DmN7bKt1vZveP7LnktAkIJU+VGK/ay17k1CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T14:50:55.317196Z","bundle_sha256":"0250e72b538f5bfbcc4b7b146edb7621ee8f8121ef6e261bdbceded75c17b0ca"}}