{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:SJHVXNF7E6ZWJR7TEIMW6NQ3PW","short_pith_number":"pith:SJHVXNF7","canonical_record":{"source":{"id":"1804.08750","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T21:29:56Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f1ef4fcd52158f110117f9ecd91a2c6bc0a13457dbed8d2fbdc8c563b0872524","abstract_canon_sha256":"d722b9b418cb457f222ae14d013bc4a8cf0d7fc18ce228eeb5c72f8f4cc219b1"},"schema_version":"1.0"},"canonical_sha256":"924f5bb4bf27b364c7f322196f361b7db984497bd393e687b390888de7fc9160","source":{"kind":"arxiv","id":"1804.08750","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08750","created_at":"2026-05-18T00:17:37Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08750v1","created_at":"2026-05-18T00:17:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08750","created_at":"2026-05-18T00:17:37Z"},{"alias_kind":"pith_short_12","alias_value":"SJHVXNF7E6ZW","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SJHVXNF7E6ZWJR7T","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SJHVXNF7","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:SJHVXNF7E6ZWJR7TEIMW6NQ3PW","target":"record","payload":{"canonical_record":{"source":{"id":"1804.08750","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T21:29:56Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"f1ef4fcd52158f110117f9ecd91a2c6bc0a13457dbed8d2fbdc8c563b0872524","abstract_canon_sha256":"d722b9b418cb457f222ae14d013bc4a8cf0d7fc18ce228eeb5c72f8f4cc219b1"},"schema_version":"1.0"},"canonical_sha256":"924f5bb4bf27b364c7f322196f361b7db984497bd393e687b390888de7fc9160","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:37.464593Z","signature_b64":"rhA/NCyAnvAo6zPRB5Pg7mc2QaqfUWgFmjIRLUcKUrxAlv0rxCqADNvzBAyHSn15lOsSNnTKrgHNPZl/xd7IAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"924f5bb4bf27b364c7f322196f361b7db984497bd393e687b390888de7fc9160","last_reissued_at":"2026-05-18T00:17:37.463870Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:37.463870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.08750","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":"2026-05-18T00:17:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N9efe8raa8UH30t/tT8F/dd+3Ja0wgacRAII9tHHDHHd0WY46mq+wlZ9K0stVWBXRS3LmMY0e8YyTirvo6U8CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:36:04.062725Z"},"content_sha256":"2130f87fe48cf87183083ae3e331e792778ea2203658b2a57b0efeeb03dc38d5","schema_version":"1.0","event_id":"sha256:2130f87fe48cf87183083ae3e331e792778ea2203658b2a57b0efeeb03dc38d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:SJHVXNF7E6ZWJR7TEIMW6NQ3PW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A machine learning model for identifying cyclic alternating patterns in the sleeping brain","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"stat.ML","authors_text":"Aakash Bhatia, Abhijeet Alshi, Aditya Chindhade, Kedar Dabhadkar, Pranav Sivadas Menon","submitted_at":"2018-04-23T21:29:56Z","abstract_excerpt":"Electroencephalography (EEG) is a method to record the electrical signals in the brain. Recognizing the EEG patterns in the sleeping brain gives insights into the understanding of sleeping disorders. The dataset under consideration contains EEG data points associated with various physiological conditions. This study attempts to generalize the detection of particular patterns associated with the Non-Rapid Eye Movement (NREM) sleep cycle of the brain using a machine learning model. The proposed model uses additional feature engineering to incorporate sequential information for training a classif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08750","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":"2026-05-18T00:17:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Dxqt46Vaak7cJ7BunbmIA/693gIkML6kgwfBvvO3LFRdX0TL0G/CUTsAi4FqPeofFFOfjnfv+OwklrlMoyFDCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T15:36:04.063472Z"},"content_sha256":"e513a48c51935cc505387eb3e831f21b75449feccef0786749ef4bec3ab0d9aa","schema_version":"1.0","event_id":"sha256:e513a48c51935cc505387eb3e831f21b75449feccef0786749ef4bec3ab0d9aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SJHVXNF7E6ZWJR7TEIMW6NQ3PW/bundle.json","state_url":"https://pith.science/pith/SJHVXNF7E6ZWJR7TEIMW6NQ3PW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SJHVXNF7E6ZWJR7TEIMW6NQ3PW/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":"2026-08-10T15:36:04Z","links":{"resolver":"https://pith.science/pith/SJHVXNF7E6ZWJR7TEIMW6NQ3PW","bundle":"https://pith.science/pith/SJHVXNF7E6ZWJR7TEIMW6NQ3PW/bundle.json","state":"https://pith.science/pith/SJHVXNF7E6ZWJR7TEIMW6NQ3PW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SJHVXNF7E6ZWJR7TEIMW6NQ3PW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:SJHVXNF7E6ZWJR7TEIMW6NQ3PW","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":"d722b9b418cb457f222ae14d013bc4a8cf0d7fc18ce228eeb5c72f8f4cc219b1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T21:29:56Z","title_canon_sha256":"f1ef4fcd52158f110117f9ecd91a2c6bc0a13457dbed8d2fbdc8c563b0872524"},"schema_version":"1.0","source":{"id":"1804.08750","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.08750","created_at":"2026-05-18T00:17:37Z"},{"alias_kind":"arxiv_version","alias_value":"1804.08750v1","created_at":"2026-05-18T00:17:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.08750","created_at":"2026-05-18T00:17:37Z"},{"alias_kind":"pith_short_12","alias_value":"SJHVXNF7E6ZW","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"SJHVXNF7E6ZWJR7T","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"SJHVXNF7","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:e513a48c51935cc505387eb3e831f21b75449feccef0786749ef4bec3ab0d9aa","target":"graph","created_at":"2026-05-18T00:17:37Z","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":"Electroencephalography (EEG) is a method to record the electrical signals in the brain. Recognizing the EEG patterns in the sleeping brain gives insights into the understanding of sleeping disorders. The dataset under consideration contains EEG data points associated with various physiological conditions. This study attempts to generalize the detection of particular patterns associated with the Non-Rapid Eye Movement (NREM) sleep cycle of the brain using a machine learning model. The proposed model uses additional feature engineering to incorporate sequential information for training a classif","authors_text":"Aakash Bhatia, Abhijeet Alshi, Aditya Chindhade, Kedar Dabhadkar, Pranav Sivadas Menon","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T21:29:56Z","title":"A machine learning model for identifying cyclic alternating patterns in the sleeping brain"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.08750","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":"sha256:2130f87fe48cf87183083ae3e331e792778ea2203658b2a57b0efeeb03dc38d5","target":"record","created_at":"2026-05-18T00:17:37Z","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":"d722b9b418cb457f222ae14d013bc4a8cf0d7fc18ce228eeb5c72f8f4cc219b1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-04-23T21:29:56Z","title_canon_sha256":"f1ef4fcd52158f110117f9ecd91a2c6bc0a13457dbed8d2fbdc8c563b0872524"},"schema_version":"1.0","source":{"id":"1804.08750","kind":"arxiv","version":1}},"canonical_sha256":"924f5bb4bf27b364c7f322196f361b7db984497bd393e687b390888de7fc9160","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"924f5bb4bf27b364c7f322196f361b7db984497bd393e687b390888de7fc9160","first_computed_at":"2026-05-18T00:17:37.463870Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:37.463870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rhA/NCyAnvAo6zPRB5Pg7mc2QaqfUWgFmjIRLUcKUrxAlv0rxCqADNvzBAyHSn15lOsSNnTKrgHNPZl/xd7IAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:37.464593Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.08750","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2130f87fe48cf87183083ae3e331e792778ea2203658b2a57b0efeeb03dc38d5","sha256:e513a48c51935cc505387eb3e831f21b75449feccef0786749ef4bec3ab0d9aa"],"state_sha256":"fd533824c20aa60d0562f2bf9bda1a387a1b3659673d250c2567a6f91d19bed6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2lNieaSkP+BZzF92nA8Q7Mo72LeO5wYzOSocQqHMkceSIZFMurEEDVHCteRjH6YSwFpFA2sHOFJqqgnvhX//CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T15:36:04.074599Z","bundle_sha256":"1b3ace829bb6a474d5a2800d5be6c8764b992202fda0882e9592baeb27edcf6c"}}