{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:LSGGMHQVTXYDO2N7S5SCYF7AQQ","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":"fc5e9bbd299cdb73b79e28a33eb02438d7f124d6d839c434f560a2154845d97c","cross_cats_sorted":["astro-ph.HE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-04-15T16:45:09Z","title_canon_sha256":"1b785692e81fac0f26560479bba4611b1be12aa1e8e5ef252ebca6094050806d"},"schema_version":"1.0","source":{"id":"1704.04659","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.04659","created_at":"2026-05-18T00:22:06Z"},{"alias_kind":"arxiv_version","alias_value":"1704.04659v3","created_at":"2026-05-18T00:22:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04659","created_at":"2026-05-18T00:22:06Z"},{"alias_kind":"pith_short_12","alias_value":"LSGGMHQVTXYD","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"LSGGMHQVTXYDO2N7","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"LSGGMHQV","created_at":"2026-05-18T12:31:28Z"}],"graph_snapshots":[{"event_id":"sha256:33b0d97a6ebf4f59b9304f79a0a0d6ff3880b7ed87c8cffebba2d3f7bf656258","target":"graph","created_at":"2026-05-18T00:22:06Z","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 evaluate the performance of four different machine learning (ML) algorithms: an Artificial Neural Network Multi-Layer Perceptron (ANN MLP ), Adaboost, Gradient Boosting Classifier (GBC), XGBoost, for the separation of pulsars from radio frequency interference (RFI) and other sources of noise, using a dataset obtained from the post-processing of a pulsar search pi peline. This dataset was previously used for cross-validation of the SPINN-based machine learning engine, used for the reprocessing of HTRU-S survey data arXiv:1406.3627. We have used Synthetic Minority Over-sampling Technique (SMO","authors_text":"Shantanu Desai, Suryarao Bethapudi","cross_cats":["astro-ph.HE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-04-15T16:45:09Z","title":"Separation of pulsar signals from noise with supervised machine learning algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04659","kind":"arxiv","version":3},"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:bd3fd85f2105bce61505b1c53ecdb164d61cdc72640373ea3d4d4fc69e4848c3","target":"record","created_at":"2026-05-18T00:22:06Z","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":"fc5e9bbd299cdb73b79e28a33eb02438d7f124d6d839c434f560a2154845d97c","cross_cats_sorted":["astro-ph.HE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2017-04-15T16:45:09Z","title_canon_sha256":"1b785692e81fac0f26560479bba4611b1be12aa1e8e5ef252ebca6094050806d"},"schema_version":"1.0","source":{"id":"1704.04659","kind":"arxiv","version":3}},"canonical_sha256":"5c8c661e159df03769bf97642c17e08406c599024e7372f90d9cfbd4b8e9cbe4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c8c661e159df03769bf97642c17e08406c599024e7372f90d9cfbd4b8e9cbe4","first_computed_at":"2026-05-18T00:22:06.223702Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:06.223702Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IeWV4jLEpv61LAu3Ik15jTCA/1wNsrsU8Xy+eRu5ifxWINK8Ap8OgRNw9KzGQWcGumikP6idPtRax+NCXKhWCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:06.224197Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.04659","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd3fd85f2105bce61505b1c53ecdb164d61cdc72640373ea3d4d4fc69e4848c3","sha256:33b0d97a6ebf4f59b9304f79a0a0d6ff3880b7ed87c8cffebba2d3f7bf656258"],"state_sha256":"2d510d0e289d18ce20a5524af8033e3418722003436718246431eca6dad9afa7"}