{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:K2HEKIDG7DZFJ5FIB7EBFAF374","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":"e93057c82b085da0149b01591e3d3d0fcd480d4ca2cb8c65682a552777b84dd3","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-04-27T12:44:04Z","title_canon_sha256":"efd6ee86650f7394022ad8db5b21058269a30057b035da44181d5cd4c3225059"},"schema_version":"1.0","source":{"id":"1805.00873","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.00873","created_at":"2026-05-18T00:16:57Z"},{"alias_kind":"arxiv_version","alias_value":"1805.00873v1","created_at":"2026-05-18T00:16:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.00873","created_at":"2026-05-18T00:16:57Z"},{"alias_kind":"pith_short_12","alias_value":"K2HEKIDG7DZF","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"K2HEKIDG7DZFJ5FI","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"K2HEKIDG","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:d35c6947802f05430272a0bd0c4fe4f7b9f0eee542e94bfd082118b6fe320ee3","target":"graph","created_at":"2026-05-18T00:16:57Z","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":"The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In addition to exploiting sine and cosine functions to perform local and global searches (hence the name sine-cosine), the SCA introduces several random and adaptive parameters to facilitate the search process. Although it shows promising results, the search process of the SCA is vulnerable to local minima/maxima due to the adoption of a fixed switch probability and the bounded magnitude of the sine and cosine functions (from -1 to 1). In this paper, we propose a new hybrid Q-learning sine-cosine- based strateg","authors_text":"Bestoun S. Ahmed, Fakhrud Din, Kamal Z. Zamli, Miroslav Bures","cross_cats":["cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-04-27T12:44:04Z","title":"A Hybrid Q-Learning Sine-Cosine-based Strategy for Addressing the Combinatorial Test Suite Minimization Problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.00873","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":"sha256:8d5741afe0f799b1a8672ffc232d46c4121040ebfb68662b33335bbfe363c7d5","target":"record","created_at":"2026-05-18T00:16:57Z","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":"e93057c82b085da0149b01591e3d3d0fcd480d4ca2cb8c65682a552777b84dd3","cross_cats_sorted":["cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-04-27T12:44:04Z","title_canon_sha256":"efd6ee86650f7394022ad8db5b21058269a30057b035da44181d5cd4c3225059"},"schema_version":"1.0","source":{"id":"1805.00873","kind":"arxiv","version":1}},"canonical_sha256":"568e452066f8f254f4a80fc81280bbff06f258230332a5dc7158bb34cfb01ef4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"568e452066f8f254f4a80fc81280bbff06f258230332a5dc7158bb34cfb01ef4","first_computed_at":"2026-05-18T00:16:57.382658Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:16:57.382658Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1NUxFkWDkS0lpB26pWk/1EIXGXSxqGuHY21RaTfEL+MLUE/UfEEoSwxxLuCILCI5+QFXr9Obfrujp3m2w+SJDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:16:57.383404Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.00873","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8d5741afe0f799b1a8672ffc232d46c4121040ebfb68662b33335bbfe363c7d5","sha256:d35c6947802f05430272a0bd0c4fe4f7b9f0eee542e94bfd082118b6fe320ee3"],"state_sha256":"176c9b4db8771792b09a5b143fc1c4ff4e6a37ab164c5b269adff9e9c2a57088"}