{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:4MAHWP6KX4WOWXFPZKQH56HE46","short_pith_number":"pith:4MAHWP6K","canonical_record":{"source":{"id":"1907.06943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-16T11:27:47Z","cross_cats_sorted":["cs.LG","physics.med-ph"],"title_canon_sha256":"fe340707190adc31fc5148f9f90a5919a84e22f3301aa5f1c12ed4f5d55ade7d","abstract_canon_sha256":"e0eba1b2f7f54be991ba1906740d89706462cce9d22667a3da53cf0bb84b13ed"},"schema_version":"1.0"},"canonical_sha256":"e3007b3fcabf2ceb5cafcaa07ef8e4e7b8fbe81d833b14545070394508965652","source":{"kind":"arxiv","id":"1907.06943","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.06943","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"arxiv_version","alias_value":"1907.06943v1","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.06943","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"pith_short_12","alias_value":"4MAHWP6KX4WO","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4MAHWP6KX4WOWXFP","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4MAHWP6K","created_at":"2026-05-18T12:33:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:4MAHWP6KX4WOWXFPZKQH56HE46","target":"record","payload":{"canonical_record":{"source":{"id":"1907.06943","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-16T11:27:47Z","cross_cats_sorted":["cs.LG","physics.med-ph"],"title_canon_sha256":"fe340707190adc31fc5148f9f90a5919a84e22f3301aa5f1c12ed4f5d55ade7d","abstract_canon_sha256":"e0eba1b2f7f54be991ba1906740d89706462cce9d22667a3da53cf0bb84b13ed"},"schema_version":"1.0"},"canonical_sha256":"e3007b3fcabf2ceb5cafcaa07ef8e4e7b8fbe81d833b14545070394508965652","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:28.587082Z","signature_b64":"2ap7LLLtoH7xpmSt8GUkop+wCxFhN1kO/debZDSIR/NjsD+FoH81HGIbWtpMSMU6QGKWPQ84qPoGA66e2qjcBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e3007b3fcabf2ceb5cafcaa07ef8e4e7b8fbe81d833b14545070394508965652","last_reissued_at":"2026-05-17T23:40:28.586498Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:28.586498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.06943","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":"2026-05-17T23:40:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xCUWls67Oi5SAfCM+A++HrosMuxWeZrZoXPDIblr/toXhvuN4w+kuMFnjTJAjDcdN/fsmQEam8as5ZmTBYCjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T18:46:38.706954Z"},"content_sha256":"1afb55adeb0072a71207538472be6c8e87b66a56fe3e2e21311cfdcb95379580","schema_version":"1.0","event_id":"sha256:1afb55adeb0072a71207538472be6c8e87b66a56fe3e2e21311cfdcb95379580"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:4MAHWP6KX4WOWXFPZKQH56HE46","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine learning without a feature set for detecting bursts in the EEG of preterm infants","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","physics.med-ph"],"primary_cat":"eess.SP","authors_text":"Geraldine B. Boylan, John M. O'Toole","submitted_at":"2019-07-16T11:27:47Z","abstract_excerpt":"Deep neural networks enable learning directly on the data without the domain knowledge needed to construct a feature set. This approach has been extremely successful in almost all machine learning applications. We propose a new framework that also learns directly from the data, without extracting a feature set. We apply this framework to detecting bursts in the EEG of premature infants. The EEG is recorded within days of birth in a cohort of infants without significant brain injury and born <30 weeks of gestation. The method first transforms the time-domain signal to the time--frequency domain"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.06943","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":"2026-05-17T23:40:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T2qXZnwJGDUimCL1gqJred1tlpNkkt3gEvEo5wF3n+rwuDe49DL2ir+BTUI/NT9ap7PJh1U6x6+IlUuhxT/zBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T18:46:38.707288Z"},"content_sha256":"7161ac0cd778eb053ba139ce264e4df6094bccdb4b584bd7464146582c9957c6","schema_version":"1.0","event_id":"sha256:7161ac0cd778eb053ba139ce264e4df6094bccdb4b584bd7464146582c9957c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4MAHWP6KX4WOWXFPZKQH56HE46/bundle.json","state_url":"https://pith.science/pith/4MAHWP6KX4WOWXFPZKQH56HE46/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4MAHWP6KX4WOWXFPZKQH56HE46/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":"2026-06-28T18:46:38Z","links":{"resolver":"https://pith.science/pith/4MAHWP6KX4WOWXFPZKQH56HE46","bundle":"https://pith.science/pith/4MAHWP6KX4WOWXFPZKQH56HE46/bundle.json","state":"https://pith.science/pith/4MAHWP6KX4WOWXFPZKQH56HE46/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4MAHWP6KX4WOWXFPZKQH56HE46/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:4MAHWP6KX4WOWXFPZKQH56HE46","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":"e0eba1b2f7f54be991ba1906740d89706462cce9d22667a3da53cf0bb84b13ed","cross_cats_sorted":["cs.LG","physics.med-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-16T11:27:47Z","title_canon_sha256":"fe340707190adc31fc5148f9f90a5919a84e22f3301aa5f1c12ed4f5d55ade7d"},"schema_version":"1.0","source":{"id":"1907.06943","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.06943","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"arxiv_version","alias_value":"1907.06943v1","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.06943","created_at":"2026-05-17T23:40:28Z"},{"alias_kind":"pith_short_12","alias_value":"4MAHWP6KX4WO","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_16","alias_value":"4MAHWP6KX4WOWXFP","created_at":"2026-05-18T12:33:10Z"},{"alias_kind":"pith_short_8","alias_value":"4MAHWP6K","created_at":"2026-05-18T12:33:10Z"}],"graph_snapshots":[{"event_id":"sha256:7161ac0cd778eb053ba139ce264e4df6094bccdb4b584bd7464146582c9957c6","target":"graph","created_at":"2026-05-17T23:40:28Z","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":"Deep neural networks enable learning directly on the data without the domain knowledge needed to construct a feature set. This approach has been extremely successful in almost all machine learning applications. We propose a new framework that also learns directly from the data, without extracting a feature set. We apply this framework to detecting bursts in the EEG of premature infants. The EEG is recorded within days of birth in a cohort of infants without significant brain injury and born <30 weeks of gestation. The method first transforms the time-domain signal to the time--frequency domain","authors_text":"Geraldine B. Boylan, John M. O'Toole","cross_cats":["cs.LG","physics.med-ph"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-16T11:27:47Z","title":"Machine learning without a feature set for detecting bursts in the EEG of preterm infants"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.06943","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":"sha256:1afb55adeb0072a71207538472be6c8e87b66a56fe3e2e21311cfdcb95379580","target":"record","created_at":"2026-05-17T23:40:28Z","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":"e0eba1b2f7f54be991ba1906740d89706462cce9d22667a3da53cf0bb84b13ed","cross_cats_sorted":["cs.LG","physics.med-ph"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2019-07-16T11:27:47Z","title_canon_sha256":"fe340707190adc31fc5148f9f90a5919a84e22f3301aa5f1c12ed4f5d55ade7d"},"schema_version":"1.0","source":{"id":"1907.06943","kind":"arxiv","version":1}},"canonical_sha256":"e3007b3fcabf2ceb5cafcaa07ef8e4e7b8fbe81d833b14545070394508965652","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e3007b3fcabf2ceb5cafcaa07ef8e4e7b8fbe81d833b14545070394508965652","first_computed_at":"2026-05-17T23:40:28.586498Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:40:28.586498Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2ap7LLLtoH7xpmSt8GUkop+wCxFhN1kO/debZDSIR/NjsD+FoH81HGIbWtpMSMU6QGKWPQ84qPoGA66e2qjcBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:40:28.587082Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.06943","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1afb55adeb0072a71207538472be6c8e87b66a56fe3e2e21311cfdcb95379580","sha256:7161ac0cd778eb053ba139ce264e4df6094bccdb4b584bd7464146582c9957c6"],"state_sha256":"93186658b0e8ba64d36831b201f6cb2311a85ce84ed5d59133566e5b895967bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6uJYqQ7sIjzMjFfcnIqzm98oV0uaEq/cvgQGzHaNjgywHkYZ2mpmySwWjL2urSnzlT74kWMQLzfjvB3D4gl7Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T18:46:38.709143Z","bundle_sha256":"2d26faf6ed5ca03a26770b1b4361f2b28b700f3a98148d07d84495cada1fce7e"}}