{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:2IF7BPUA7KJGEOTCYUTIXMVGQM","short_pith_number":"pith:2IF7BPUA","canonical_record":{"source":{"id":"1504.02800","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-04-10T21:54:48Z","cross_cats_sorted":[],"title_canon_sha256":"fb8621be34e406ff0f50a1cd2819849841e444122754ab17babf2e48937c9bf7","abstract_canon_sha256":"5a762aa70117e68bde99c02bd4bf7514bcc9475b1add454d20dde6c1e1eba789"},"schema_version":"1.0"},"canonical_sha256":"d20bf0be80fa92623a62c5268bb2a6832f1bd659e9e1222ab0f864bd02318094","source":{"kind":"arxiv","id":"1504.02800","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.02800","created_at":"2026-05-18T02:18:59Z"},{"alias_kind":"arxiv_version","alias_value":"1504.02800v1","created_at":"2026-05-18T02:18:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.02800","created_at":"2026-05-18T02:18:59Z"},{"alias_kind":"pith_short_12","alias_value":"2IF7BPUA7KJG","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"2IF7BPUA7KJGEOTC","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"2IF7BPUA","created_at":"2026-05-18T12:28:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:2IF7BPUA7KJGEOTCYUTIXMVGQM","target":"record","payload":{"canonical_record":{"source":{"id":"1504.02800","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-04-10T21:54:48Z","cross_cats_sorted":[],"title_canon_sha256":"fb8621be34e406ff0f50a1cd2819849841e444122754ab17babf2e48937c9bf7","abstract_canon_sha256":"5a762aa70117e68bde99c02bd4bf7514bcc9475b1add454d20dde6c1e1eba789"},"schema_version":"1.0"},"canonical_sha256":"d20bf0be80fa92623a62c5268bb2a6832f1bd659e9e1222ab0f864bd02318094","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:18:59.959354Z","signature_b64":"kRlDXIp3qoBVICghEnZaIr15aky/t0qrOI5lRJ0yhVWrUWNNoqY643tutE9raeW4pIjk8vKIInjRE4N5sFpiBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d20bf0be80fa92623a62c5268bb2a6832f1bd659e9e1222ab0f864bd02318094","last_reissued_at":"2026-05-18T02:18:59.958819Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:18:59.958819Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1504.02800","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":"2026-05-18T02:18:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Ho6UPvym5JWUnqtRVYpJe2OBEezdpbJsdaIihHZbjj9dqdeTPeLiF6GVr8KAH8nl831z8ZiW6RdrdQeBMluAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T23:02:38.972341Z"},"content_sha256":"322bd84ad6d4a1376edab5143dc7c2a16c3ca4f022afe14e41f04684aec3a8d1","schema_version":"1.0","event_id":"sha256:322bd84ad6d4a1376edab5143dc7c2a16c3ca4f022afe14e41f04684aec3a8d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:2IF7BPUA7KJGEOTCYUTIXMVGQM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"High-Dimensional Classification for Brain Decoding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ML","authors_text":"Farouk S. Nathoo, Jiguo Cao, Nicole Croteau, Ryan Budney","submitted_at":"2015-04-10T21:54:48Z","abstract_excerpt":"Brain decoding involves the determination of a subject's cognitive state or an associated stimulus from functional neuroimaging data measuring brain activity. In this setting the cognitive state is typically characterized by an element of a finite set, and the neuroimaging data comprise voluminous amounts of spatiotemporal data measuring some aspect of the neural signal. The associated statistical problem is one of classification from high-dimensional data. We explore the use of functional principal component analysis, mutual information networks, and persistent homology for examining the data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.02800","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":"2026-05-18T02:18:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1sgMyLIo2Mu0q/Oms8ulMymi7fpX66fVqkmACtvs+HJ6uEb0kAoUc55Tizi4AT7yatbYkEYSafrab2H+RET5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T23:02:38.973094Z"},"content_sha256":"157ecda9f87194a03e3b19bcf911596807737055b147c5145d5813c0c8b0a9e1","schema_version":"1.0","event_id":"sha256:157ecda9f87194a03e3b19bcf911596807737055b147c5145d5813c0c8b0a9e1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2IF7BPUA7KJGEOTCYUTIXMVGQM/bundle.json","state_url":"https://pith.science/pith/2IF7BPUA7KJGEOTCYUTIXMVGQM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2IF7BPUA7KJGEOTCYUTIXMVGQM/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":"2026-06-11T23:02:38Z","links":{"resolver":"https://pith.science/pith/2IF7BPUA7KJGEOTCYUTIXMVGQM","bundle":"https://pith.science/pith/2IF7BPUA7KJGEOTCYUTIXMVGQM/bundle.json","state":"https://pith.science/pith/2IF7BPUA7KJGEOTCYUTIXMVGQM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2IF7BPUA7KJGEOTCYUTIXMVGQM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:2IF7BPUA7KJGEOTCYUTIXMVGQM","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":"5a762aa70117e68bde99c02bd4bf7514bcc9475b1add454d20dde6c1e1eba789","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-04-10T21:54:48Z","title_canon_sha256":"fb8621be34e406ff0f50a1cd2819849841e444122754ab17babf2e48937c9bf7"},"schema_version":"1.0","source":{"id":"1504.02800","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1504.02800","created_at":"2026-05-18T02:18:59Z"},{"alias_kind":"arxiv_version","alias_value":"1504.02800v1","created_at":"2026-05-18T02:18:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1504.02800","created_at":"2026-05-18T02:18:59Z"},{"alias_kind":"pith_short_12","alias_value":"2IF7BPUA7KJG","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_16","alias_value":"2IF7BPUA7KJGEOTC","created_at":"2026-05-18T12:28:59Z"},{"alias_kind":"pith_short_8","alias_value":"2IF7BPUA","created_at":"2026-05-18T12:28:59Z"}],"graph_snapshots":[{"event_id":"sha256:157ecda9f87194a03e3b19bcf911596807737055b147c5145d5813c0c8b0a9e1","target":"graph","created_at":"2026-05-18T02:18:59Z","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":"Brain decoding involves the determination of a subject's cognitive state or an associated stimulus from functional neuroimaging data measuring brain activity. In this setting the cognitive state is typically characterized by an element of a finite set, and the neuroimaging data comprise voluminous amounts of spatiotemporal data measuring some aspect of the neural signal. The associated statistical problem is one of classification from high-dimensional data. We explore the use of functional principal component analysis, mutual information networks, and persistent homology for examining the data","authors_text":"Farouk S. Nathoo, Jiguo Cao, Nicole Croteau, Ryan Budney","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-04-10T21:54:48Z","title":"High-Dimensional Classification for Brain Decoding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1504.02800","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":"sha256:322bd84ad6d4a1376edab5143dc7c2a16c3ca4f022afe14e41f04684aec3a8d1","target":"record","created_at":"2026-05-18T02:18:59Z","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":"5a762aa70117e68bde99c02bd4bf7514bcc9475b1add454d20dde6c1e1eba789","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2015-04-10T21:54:48Z","title_canon_sha256":"fb8621be34e406ff0f50a1cd2819849841e444122754ab17babf2e48937c9bf7"},"schema_version":"1.0","source":{"id":"1504.02800","kind":"arxiv","version":1}},"canonical_sha256":"d20bf0be80fa92623a62c5268bb2a6832f1bd659e9e1222ab0f864bd02318094","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d20bf0be80fa92623a62c5268bb2a6832f1bd659e9e1222ab0f864bd02318094","first_computed_at":"2026-05-18T02:18:59.958819Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:18:59.958819Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kRlDXIp3qoBVICghEnZaIr15aky/t0qrOI5lRJ0yhVWrUWNNoqY643tutE9raeW4pIjk8vKIInjRE4N5sFpiBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T02:18:59.959354Z","signed_message":"canonical_sha256_bytes"},"source_id":"1504.02800","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:322bd84ad6d4a1376edab5143dc7c2a16c3ca4f022afe14e41f04684aec3a8d1","sha256:157ecda9f87194a03e3b19bcf911596807737055b147c5145d5813c0c8b0a9e1"],"state_sha256":"9d33079ed9fbb517b0a6b90a189d9e18a00e23e69e3e5753f66ad730a25abf88"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZSnVOhWfGxm/3/9oRQlsbxvW0cZWc2AQGaDGha+R50T7uw/DG2zJhhFzQkdklCeBH20iRK4F8CKg7FCR1fayCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T23:02:38.977096Z","bundle_sha256":"070dc8216106a8859a48938ec39e1ebdf761f39c7ac93178cf80705f5a75244d"}}