{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5BLAZ5RMX5IE6RDMIGIKOT4A74","short_pith_number":"pith:5BLAZ5RM","canonical_record":{"source":{"id":"2607.21901","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-07-24T02:11:35Z","cross_cats_sorted":[],"title_canon_sha256":"bf145588eaaaf0c3b873de4c9c102fe9ffec6187937e8f83b5986cc6585e7cad","abstract_canon_sha256":"6b66059314b2ce51a96471f507ad9ca337bacfdb8c3e8f93d76a3d237835e4b8"},"schema_version":"1.0"},"canonical_sha256":"e8560cf62cbf504f446c4190a74f80ff053e5868cc6eae422133b2c34badc2da","source":{"kind":"arxiv","id":"2607.21901","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21901","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21901v1","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21901","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"5BLAZ5RMX5IE","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"5BLAZ5RMX5IE6RDM","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"5BLAZ5RM","created_at":"2026-07-27T00:20:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5BLAZ5RMX5IE6RDMIGIKOT4A74","target":"record","payload":{"canonical_record":{"source":{"id":"2607.21901","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-07-24T02:11:35Z","cross_cats_sorted":[],"title_canon_sha256":"bf145588eaaaf0c3b873de4c9c102fe9ffec6187937e8f83b5986cc6585e7cad","abstract_canon_sha256":"6b66059314b2ce51a96471f507ad9ca337bacfdb8c3e8f93d76a3d237835e4b8"},"schema_version":"1.0"},"canonical_sha256":"e8560cf62cbf504f446c4190a74f80ff053e5868cc6eae422133b2c34badc2da","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-27T00:20:27.120902Z","signature_b64":"Ku6j8ZP0WCyBckvUTt3wiYilkQj0rt0x66F1Oq/Mdv8Vq5kPisL9QcmlQSUhbL9ozzkNMyFf7l4KUwNPWQODAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8560cf62cbf504f446c4190a74f80ff053e5868cc6eae422133b2c34badc2da","last_reissued_at":"2026-07-27T00:20:27.120094Z","signature_status":"signed_v1","first_computed_at":"2026-07-27T00:20:27.120094Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.21901","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":"2026-07-27T00:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tvOjw/whn+3KgsnPJtU0/E67ahTl80rMzAwHSsAkVwh6AiKSVqmuTI8/Nuxyyuydt+I7mBhJ1EApsXZRBtPpAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:54:02.287452Z"},"content_sha256":"079de8308eb61b0a638453fa8d5b4f06de397eeb068ff725041435b8775fd6c0","schema_version":"1.0","event_id":"sha256:079de8308eb61b0a638453fa8d5b4f06de397eeb068ff725041435b8775fd6c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5BLAZ5RMX5IE6RDMIGIKOT4A74","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AdaptICA: Data-Adaptive Transformation Learning for Independent Component Analysis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Jingyu Liu, Lida Jalili, Li-Hsiang Lin, Vince D. Calhoun","submitted_at":"2026-07-24T02:11:35Z","abstract_excerpt":"Independent component analysis (ICA) is widely used to recover latent structure from signal and imaging data, but standard ICA assumes that the observed measurement scale preserves a linear mixing structure. This assumption may fail for features produced through nonlinear preprocessing, such as band-specific power in motor-imagery EEG. We propose AdaptICA, an adaptive transformation-based framework that jointly learns grouped componentwise transformations and the demixing structure using a profiled mutual-information criterion. Because the transformation and demixing parameters may compensate "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21901","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/2607.21901/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":"2026-07-27T00:20:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ucpiwRK1jHMVPhVPl+OTzMUEDTByA7ExUgEBhD3MfdrUMSS2kS3VSJqC2gOdWxcM2e7om9lDRk1XEOVWdRxXDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T22:54:02.288059Z"},"content_sha256":"be4a9ec702bdcedba0513e5d0d8b79f9875aead617997b772c6f88efa2fbd532","schema_version":"1.0","event_id":"sha256:be4a9ec702bdcedba0513e5d0d8b79f9875aead617997b772c6f88efa2fbd532"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5BLAZ5RMX5IE6RDMIGIKOT4A74/bundle.json","state_url":"https://pith.science/pith/5BLAZ5RMX5IE6RDMIGIKOT4A74/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5BLAZ5RMX5IE6RDMIGIKOT4A74/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":"2026-08-03T22:54:02Z","links":{"resolver":"https://pith.science/pith/5BLAZ5RMX5IE6RDMIGIKOT4A74","bundle":"https://pith.science/pith/5BLAZ5RMX5IE6RDMIGIKOT4A74/bundle.json","state":"https://pith.science/pith/5BLAZ5RMX5IE6RDMIGIKOT4A74/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5BLAZ5RMX5IE6RDMIGIKOT4A74/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5BLAZ5RMX5IE6RDMIGIKOT4A74","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":"6b66059314b2ce51a96471f507ad9ca337bacfdb8c3e8f93d76a3d237835e4b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-07-24T02:11:35Z","title_canon_sha256":"bf145588eaaaf0c3b873de4c9c102fe9ffec6187937e8f83b5986cc6585e7cad"},"schema_version":"1.0","source":{"id":"2607.21901","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21901","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21901v1","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21901","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"pith_short_12","alias_value":"5BLAZ5RMX5IE","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"pith_short_16","alias_value":"5BLAZ5RMX5IE6RDM","created_at":"2026-07-27T00:20:27Z"},{"alias_kind":"pith_short_8","alias_value":"5BLAZ5RM","created_at":"2026-07-27T00:20:27Z"}],"graph_snapshots":[{"event_id":"sha256:be4a9ec702bdcedba0513e5d0d8b79f9875aead617997b772c6f88efa2fbd532","target":"graph","created_at":"2026-07-27T00:20:27Z","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/2607.21901/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Independent component analysis (ICA) is widely used to recover latent structure from signal and imaging data, but standard ICA assumes that the observed measurement scale preserves a linear mixing structure. This assumption may fail for features produced through nonlinear preprocessing, such as band-specific power in motor-imagery EEG. We propose AdaptICA, an adaptive transformation-based framework that jointly learns grouped componentwise transformations and the demixing structure using a profiled mutual-information criterion. Because the transformation and demixing parameters may compensate ","authors_text":"Jingyu Liu, Lida Jalili, Li-Hsiang Lin, Vince D. Calhoun","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-07-24T02:11:35Z","title":"AdaptICA: Data-Adaptive Transformation Learning for Independent Component Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21901","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":"sha256:079de8308eb61b0a638453fa8d5b4f06de397eeb068ff725041435b8775fd6c0","target":"record","created_at":"2026-07-27T00:20:27Z","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":"6b66059314b2ce51a96471f507ad9ca337bacfdb8c3e8f93d76a3d237835e4b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-07-24T02:11:35Z","title_canon_sha256":"bf145588eaaaf0c3b873de4c9c102fe9ffec6187937e8f83b5986cc6585e7cad"},"schema_version":"1.0","source":{"id":"2607.21901","kind":"arxiv","version":1}},"canonical_sha256":"e8560cf62cbf504f446c4190a74f80ff053e5868cc6eae422133b2c34badc2da","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e8560cf62cbf504f446c4190a74f80ff053e5868cc6eae422133b2c34badc2da","first_computed_at":"2026-07-27T00:20:27.120094Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-27T00:20:27.120094Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ku6j8ZP0WCyBckvUTt3wiYilkQj0rt0x66F1Oq/Mdv8Vq5kPisL9QcmlQSUhbL9ozzkNMyFf7l4KUwNPWQODAw==","signature_status":"signed_v1","signed_at":"2026-07-27T00:20:27.120902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.21901","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:079de8308eb61b0a638453fa8d5b4f06de397eeb068ff725041435b8775fd6c0","sha256:be4a9ec702bdcedba0513e5d0d8b79f9875aead617997b772c6f88efa2fbd532"],"state_sha256":"3fcab5a43c3b55c723dd706ab912f1a94236af4d4fac28d440fcb8a146938baf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3YNLguQxp8xtI2Mj5py3NlB5paloDfO3lB4nLySELM3eRY21rvOE5wxkg8K0l5w3IrE0GGVxgG9fD9/Vub2ECA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T22:54:02.292743Z","bundle_sha256":"6ada18a795482a6387c20dc268e79af9f4a134f85744cb261ec7e3bfea39533a"}}