{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:HKYSWCDSTJJ3LRRDCKT46TBGP7","short_pith_number":"pith:HKYSWCDS","schema_version":"1.0","canonical_sha256":"3ab12b08729a53b5c62312a7cf4c267fde9670cacd1e80b4cba6cde4cbb84315","source":{"kind":"arxiv","id":"1707.02676","version":3},"attestation_state":"computed","paper":{"title":"Adaptive clustering procedure for continuous gravitational wave searches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM","math.GN"],"primary_cat":"gr-qc","authors_text":"Avneet Singh, Heinz-Bernd Eggenstein, Maria Alessandra Papa, Sin\\'ead Walsh","submitted_at":"2017-07-10T02:14:18Z","abstract_excerpt":"In hierarchical searches for continuous gravitational waves, clustering of candidates is an important postprocessing step because it reduces the number of noise candidates that are followed-up at successive stages [1][7][12]. Previous clustering procedures bundled together nearby candidates ascribing them to the same root cause (be it a signal or a disturbance), based on a predefined cluster volume. In this paper, we present a procedure that adapts the cluster volume to the data itself and checks for consistency of such volume with what is expected from a signal. This significantly improves th"},"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":"1707.02676","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2017-07-10T02:14:18Z","cross_cats_sorted":["astro-ph.IM","math.GN"],"title_canon_sha256":"41513e83b5725c9ad36c99046a143bba719c8e96a87413ea75a8beb1bd3ff1c0","abstract_canon_sha256":"fc6842e80c6ce833f13c41cd4ac4eba33f155c021b43d1153475703a4db91659"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:12.335294Z","signature_b64":"tmiULD7wS72eVDE/L17JXxCRarctSwOckv4gYCcU+9c29f5r2iuhxn8Ob2BDcHJyYHoTrQipKD6fpNmQyRpXDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3ab12b08729a53b5c62312a7cf4c267fde9670cacd1e80b4cba6cde4cbb84315","last_reissued_at":"2026-05-18T00:31:12.334590Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:12.334590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Adaptive clustering procedure for continuous gravitational wave searches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM","math.GN"],"primary_cat":"gr-qc","authors_text":"Avneet Singh, Heinz-Bernd Eggenstein, Maria Alessandra Papa, Sin\\'ead Walsh","submitted_at":"2017-07-10T02:14:18Z","abstract_excerpt":"In hierarchical searches for continuous gravitational waves, clustering of candidates is an important postprocessing step because it reduces the number of noise candidates that are followed-up at successive stages [1][7][12]. Previous clustering procedures bundled together nearby candidates ascribing them to the same root cause (be it a signal or a disturbance), based on a predefined cluster volume. In this paper, we present a procedure that adapts the cluster volume to the data itself and checks for consistency of such volume with what is expected from a signal. This significantly improves th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.02676","kind":"arxiv","version":3},"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":"1707.02676","created_at":"2026-05-18T00:31:12.334717+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.02676v3","created_at":"2026-05-18T00:31:12.334717+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.02676","created_at":"2026-05-18T00:31:12.334717+00:00"},{"alias_kind":"pith_short_12","alias_value":"HKYSWCDSTJJ3","created_at":"2026-05-18T12:31:18.294218+00:00"},{"alias_kind":"pith_short_16","alias_value":"HKYSWCDSTJJ3LRRD","created_at":"2026-05-18T12:31:18.294218+00:00"},{"alias_kind":"pith_short_8","alias_value":"HKYSWCDS","created_at":"2026-05-18T12:31:18.294218+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/HKYSWCDSTJJ3LRRDCKT46TBGP7","json":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7.json","graph_json":"https://pith.science/api/pith-number/HKYSWCDSTJJ3LRRDCKT46TBGP7/graph.json","events_json":"https://pith.science/api/pith-number/HKYSWCDSTJJ3LRRDCKT46TBGP7/events.json","paper":"https://pith.science/paper/HKYSWCDS"},"agent_actions":{"view_html":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7","download_json":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7.json","view_paper":"https://pith.science/paper/HKYSWCDS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.02676&json=true","fetch_graph":"https://pith.science/api/pith-number/HKYSWCDSTJJ3LRRDCKT46TBGP7/graph.json","fetch_events":"https://pith.science/api/pith-number/HKYSWCDSTJJ3LRRDCKT46TBGP7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7/action/storage_attestation","attest_author":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7/action/author_attestation","sign_citation":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7/action/citation_signature","submit_replication":"https://pith.science/pith/HKYSWCDSTJJ3LRRDCKT46TBGP7/action/replication_record"}},"created_at":"2026-05-18T00:31:12.334717+00:00","updated_at":"2026-05-18T00:31:12.334717+00:00"}