{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WAUBBPFCMYF3K3W5HQIXLJXWX7","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":"c447d4d3e3e7a151b114576fd51ad2ab91b31f624c9182070b0cb357cc1830fd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-10-16T05:40:23Z","title_canon_sha256":"2c401d6bd14efb75ddb9eaab8a48da84787765cbd563754a7d00db74f86d3d23"},"schema_version":"1.0","source":{"id":"2310.10085","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.10085","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"arxiv_version","alias_value":"2310.10085v1","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.10085","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_12","alias_value":"WAUBBPFCMYF3","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_16","alias_value":"WAUBBPFCMYF3K3W5","created_at":"2026-07-05T07:01:15Z"},{"alias_kind":"pith_short_8","alias_value":"WAUBBPFC","created_at":"2026-07-05T07:01:15Z"}],"graph_snapshots":[{"event_id":"sha256:52160d578b1f4517d5d7f176256f36222e646f590e1f922d49737fcfa83b3f03","target":"graph","created_at":"2026-07-05T07:01:15Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2310.10085/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, various Artificial Intelligence (AI) based optimization metaheuristics are proposed and applied for a variety of problems. Cohort Intelligence (CI) algorithm is a socio inspired optimization technique which is successfully applied for solving several unconstrained & constrained real-world problems from the domains such as design, manufacturing, supply chain, healthcare, etc. Generally, real-world problems are constrained in nature. Even though most of the Evolutionary Algorithms (EAs) can efficiently solve unconstrained problems, their performance degenerates when the constraints are","authors_text":"Anand J Kulkarni, Aniket Nargundkar, Apoorva S Shastri, Aryaman Patel, Madhav Rawal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-10-16T05:40:23Z","title":"Solution to Advanced Manufacturing Process Problems using Cohort Intelligence Algorithm with Improved Constraint Handling Approaches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.10085","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":"sha256:57a83b58bb4270ae85adfe883e62afd790e971b6c7e8bf122dee0488588c46be","target":"record","created_at":"2026-07-05T07:01:15Z","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":"c447d4d3e3e7a151b114576fd51ad2ab91b31f624c9182070b0cb357cc1830fd","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NE","submitted_at":"2023-10-16T05:40:23Z","title_canon_sha256":"2c401d6bd14efb75ddb9eaab8a48da84787765cbd563754a7d00db74f86d3d23"},"schema_version":"1.0","source":{"id":"2310.10085","kind":"arxiv","version":1}},"canonical_sha256":"b02810bca2660bb56edd3c1175a6f6bff71ecb8c0217abaaf895f46d17cb94a1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b02810bca2660bb56edd3c1175a6f6bff71ecb8c0217abaaf895f46d17cb94a1","first_computed_at":"2026-07-05T07:01:15.023403Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:01:15.023403Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fT3umE7Zmuz/GxjGq7nzDrSO4bICA5CdM8cXf3C8o4DdMN9gx1JVLonLcY/Xj1tIXR9dFfclnAtb12kIw3MpDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:01:15.023868Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.10085","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:57a83b58bb4270ae85adfe883e62afd790e971b6c7e8bf122dee0488588c46be","sha256:52160d578b1f4517d5d7f176256f36222e646f590e1f922d49737fcfa83b3f03"],"state_sha256":"82719084ad9cd85d8802eb373e2d99e6aea1a85c00b459b7e9bba52bfb70f658"}