{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:ZFXJPIEHYMUZ53YS6HF5O2GP67","short_pith_number":"pith:ZFXJPIEH","canonical_record":{"source":{"id":"1512.00156","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-01T06:23:09Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"e618725763289f6df8b53852bab21e91da38de8401d6bf6798cd0f06e523642f","abstract_canon_sha256":"4d61c9b16a8c34137f50e15d3d504d089f2375a6f134aa4da1e065f7276122b7"},"schema_version":"1.0"},"canonical_sha256":"c96e97a087c3299eef12f1cbd768cff7d33f91b3dd9c6373f06283f2d1e0177c","source":{"kind":"arxiv","id":"1512.00156","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.00156","created_at":"2026-05-18T01:25:32Z"},{"alias_kind":"arxiv_version","alias_value":"1512.00156v1","created_at":"2026-05-18T01:25:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.00156","created_at":"2026-05-18T01:25:32Z"},{"alias_kind":"pith_short_12","alias_value":"ZFXJPIEHYMUZ","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"ZFXJPIEHYMUZ53YS","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"ZFXJPIEH","created_at":"2026-05-18T12:29:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:ZFXJPIEHYMUZ53YS6HF5O2GP67","target":"record","payload":{"canonical_record":{"source":{"id":"1512.00156","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-01T06:23:09Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"e618725763289f6df8b53852bab21e91da38de8401d6bf6798cd0f06e523642f","abstract_canon_sha256":"4d61c9b16a8c34137f50e15d3d504d089f2375a6f134aa4da1e065f7276122b7"},"schema_version":"1.0"},"canonical_sha256":"c96e97a087c3299eef12f1cbd768cff7d33f91b3dd9c6373f06283f2d1e0177c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:25:32.608779Z","signature_b64":"rjMrrIq94tQ7E7Uci4Zk3Asqoj9aMAvNmgqvIa6F0UJpQNoPh2X/rWavtpLMtUDTZDYGWcxbM7drkGMXjwvAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c96e97a087c3299eef12f1cbd768cff7d33f91b3dd9c6373f06283f2d1e0177c","last_reissued_at":"2026-05-18T01:25:32.608117Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:25:32.608117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1512.00156","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":"2026-05-18T01:25:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HU29xwHn++wag/3shX0iZgsMtf0nBn1oVgBKHJKyC0f/4fuYOBbip/ikL2KLPuaMcES7WPwOB2c5F6r0h4eKCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T15:35:47.158033Z"},"content_sha256":"041b113a8aa99dd0efaa3e9ea4cbe7b7af105c1ca83242377c38eafb41fa106a","schema_version":"1.0","event_id":"sha256:041b113a8aa99dd0efaa3e9ea4cbe7b7af105c1ca83242377c38eafb41fa106a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:ZFXJPIEHYMUZ53YS6HF5O2GP67","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Kenneth Kreutz-Delgado, Ozgur Balkan, Scott Makeig","submitted_at":"2015-12-01T06:23:09Z","abstract_excerpt":"We propose an algorithm targeting the identification of more sources than channels for electroencephalography (EEG). Our overcomplete source identification algorithm, Cov-DL, leverages dictionary learning methods applied in the covariance-domain. Assuming that EEG sources are uncorrelated within moving time-windows and the scalp mixing is linear, the forward problem can be transferred to the covariance domain which has higher dimensionality than the original EEG channel domain. This allows for learning the overcomplete mixing matrix that generates the scalp EEG even when there may be more sour"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.00156","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":"2026-05-18T01:25:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VwRFgRYBZSluSCjQeRywbLYYbxaxSPX7o/x+565I0FVLEMpEhbHPIusYWybFDj0JWdbfS+d+mkytRK2e/M7/DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T15:35:47.158489Z"},"content_sha256":"05424496876b56a4300b20093ef2ebc6e08eb7a991f7fba4ee90f4eadd0e37f9","schema_version":"1.0","event_id":"sha256:05424496876b56a4300b20093ef2ebc6e08eb7a991f7fba4ee90f4eadd0e37f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZFXJPIEHYMUZ53YS6HF5O2GP67/bundle.json","state_url":"https://pith.science/pith/ZFXJPIEHYMUZ53YS6HF5O2GP67/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZFXJPIEHYMUZ53YS6HF5O2GP67/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":"2026-05-27T15:35:47Z","links":{"resolver":"https://pith.science/pith/ZFXJPIEHYMUZ53YS6HF5O2GP67","bundle":"https://pith.science/pith/ZFXJPIEHYMUZ53YS6HF5O2GP67/bundle.json","state":"https://pith.science/pith/ZFXJPIEHYMUZ53YS6HF5O2GP67/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZFXJPIEHYMUZ53YS6HF5O2GP67/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:ZFXJPIEHYMUZ53YS6HF5O2GP67","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":"4d61c9b16a8c34137f50e15d3d504d089f2375a6f134aa4da1e065f7276122b7","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-01T06:23:09Z","title_canon_sha256":"e618725763289f6df8b53852bab21e91da38de8401d6bf6798cd0f06e523642f"},"schema_version":"1.0","source":{"id":"1512.00156","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1512.00156","created_at":"2026-05-18T01:25:32Z"},{"alias_kind":"arxiv_version","alias_value":"1512.00156v1","created_at":"2026-05-18T01:25:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1512.00156","created_at":"2026-05-18T01:25:32Z"},{"alias_kind":"pith_short_12","alias_value":"ZFXJPIEHYMUZ","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_16","alias_value":"ZFXJPIEHYMUZ53YS","created_at":"2026-05-18T12:29:52Z"},{"alias_kind":"pith_short_8","alias_value":"ZFXJPIEH","created_at":"2026-05-18T12:29:52Z"}],"graph_snapshots":[{"event_id":"sha256:05424496876b56a4300b20093ef2ebc6e08eb7a991f7fba4ee90f4eadd0e37f9","target":"graph","created_at":"2026-05-18T01:25:32Z","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":"We propose an algorithm targeting the identification of more sources than channels for electroencephalography (EEG). Our overcomplete source identification algorithm, Cov-DL, leverages dictionary learning methods applied in the covariance-domain. Assuming that EEG sources are uncorrelated within moving time-windows and the scalp mixing is linear, the forward problem can be transferred to the covariance domain which has higher dimensionality than the original EEG channel domain. This allows for learning the overcomplete mixing matrix that generates the scalp EEG even when there may be more sour","authors_text":"Kenneth Kreutz-Delgado, Ozgur Balkan, Scott Makeig","cross_cats":["math.IT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-01T06:23:09Z","title":"Covariance-domain Dictionary Learning for Overcomplete EEG Source Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1512.00156","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":"sha256:041b113a8aa99dd0efaa3e9ea4cbe7b7af105c1ca83242377c38eafb41fa106a","target":"record","created_at":"2026-05-18T01:25:32Z","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":"4d61c9b16a8c34137f50e15d3d504d089f2375a6f134aa4da1e065f7276122b7","cross_cats_sorted":["math.IT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2015-12-01T06:23:09Z","title_canon_sha256":"e618725763289f6df8b53852bab21e91da38de8401d6bf6798cd0f06e523642f"},"schema_version":"1.0","source":{"id":"1512.00156","kind":"arxiv","version":1}},"canonical_sha256":"c96e97a087c3299eef12f1cbd768cff7d33f91b3dd9c6373f06283f2d1e0177c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c96e97a087c3299eef12f1cbd768cff7d33f91b3dd9c6373f06283f2d1e0177c","first_computed_at":"2026-05-18T01:25:32.608117Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:25:32.608117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rjMrrIq94tQ7E7Uci4Zk3Asqoj9aMAvNmgqvIa6F0UJpQNoPh2X/rWavtpLMtUDTZDYGWcxbM7drkGMXjwvAAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:25:32.608779Z","signed_message":"canonical_sha256_bytes"},"source_id":"1512.00156","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:041b113a8aa99dd0efaa3e9ea4cbe7b7af105c1ca83242377c38eafb41fa106a","sha256:05424496876b56a4300b20093ef2ebc6e08eb7a991f7fba4ee90f4eadd0e37f9"],"state_sha256":"6b7e45411e44bef162de87d13426c268f171132da9ad378d971512d33072cca7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W/ozEGms1frn/hQOJ8hrf4Ucm7yTnBu5CmM0Y/pc5FTUW3W36ZxKw71lBHCOe+9k9+cbj4MaKKRg5oPsd8UoAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T15:35:47.161393Z","bundle_sha256":"9d48301f9bad22214969e4e1b5fd390451fcb6394e0802ec4dd40756130d2cf0"}}