{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:Q372FE7UEGPIVGKIHPWAR36X5T","short_pith_number":"pith:Q372FE7U","schema_version":"1.0","canonical_sha256":"86ffa293f4219e8a99483bec08efd7eccc76e9858751b9f1e053f35f5b5cdf7f","source":{"kind":"arxiv","id":"1803.08624","version":1},"attestation_state":"computed","paper":{"title":"Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.IM","cs.CV"],"primary_cat":"cs.LG","authors_text":"G. A. Cox, G. R. Harp, J. Richards, J. Voien, S. Egly, S. Vinodababu","submitted_at":"2018-03-23T00:56:13Z","abstract_excerpt":"We describe a new approach and algorithm for the detection of artificial signals and their classification in the search for extraterrestrial intelligence (SETI). The characteristics of radio signals observed during SETI research are often most apparent when those signals are represented as spectrograms. Additionally, many observed signals tend to share the same characteristics, allowing for sorting of the signals into different classes. For this work, complex-valued time-series data were simulated to produce a corpus of 140,000 signals from seven different signal classes. A wide residual neura"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1803.08624","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2018-03-23T00:56:13Z","cross_cats_sorted":["astro-ph.IM","cs.CV"],"title_canon_sha256":"80ad7cbd30baaf8e6ddc760b999959734f8de1e9c4a74a0a3fe8cb42f458ee3c","abstract_canon_sha256":"74cad6646a58256069351a0f75e4c850b7633229752d510a02aed62f1f7e801f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:18:35.516664Z","signature_b64":"GaArNPa0Qap+s6bCtWy4bWAslBEHTxqAeG38MBsn9FnKtRc4OQC7+ORH0/53LNs4roy7UE0kJ0yM+GYaP4l8Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"86ffa293f4219e8a99483bec08efd7eccc76e9858751b9f1e053f35f5b5cdf7f","last_reissued_at":"2026-05-18T00:18:35.516050Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:18:35.516050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Classification of simulated radio signals using Wide Residual Networks for use in the search for extra-terrestrial intelligence","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.IM","cs.CV"],"primary_cat":"cs.LG","authors_text":"G. A. Cox, G. R. Harp, J. Richards, J. Voien, S. Egly, S. Vinodababu","submitted_at":"2018-03-23T00:56:13Z","abstract_excerpt":"We describe a new approach and algorithm for the detection of artificial signals and their classification in the search for extraterrestrial intelligence (SETI). The characteristics of radio signals observed during SETI research are often most apparent when those signals are represented as spectrograms. Additionally, many observed signals tend to share the same characteristics, allowing for sorting of the signals into different classes. For this work, complex-valued time-series data were simulated to produce a corpus of 140,000 signals from seven different signal classes. A wide residual neura"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08624","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1803.08624","created_at":"2026-05-18T00:18:35.516134+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.08624v1","created_at":"2026-05-18T00:18:35.516134+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08624","created_at":"2026-05-18T00:18:35.516134+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q372FE7UEGPI","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q372FE7UEGPIVGKI","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q372FE7U","created_at":"2026-05-18T12:32:46.962924+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T","json":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T.json","graph_json":"https://pith.science/api/pith-number/Q372FE7UEGPIVGKIHPWAR36X5T/graph.json","events_json":"https://pith.science/api/pith-number/Q372FE7UEGPIVGKIHPWAR36X5T/events.json","paper":"https://pith.science/paper/Q372FE7U"},"agent_actions":{"view_html":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T","download_json":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T.json","view_paper":"https://pith.science/paper/Q372FE7U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.08624&json=true","fetch_graph":"https://pith.science/api/pith-number/Q372FE7UEGPIVGKIHPWAR36X5T/graph.json","fetch_events":"https://pith.science/api/pith-number/Q372FE7UEGPIVGKIHPWAR36X5T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T/action/storage_attestation","attest_author":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T/action/author_attestation","sign_citation":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T/action/citation_signature","submit_replication":"https://pith.science/pith/Q372FE7UEGPIVGKIHPWAR36X5T/action/replication_record"}},"created_at":"2026-05-18T00:18:35.516134+00:00","updated_at":"2026-05-18T00:18:35.516134+00:00"}