{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TBOL4GMWUZNPH5CJ7MSSJBEXHB","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":"15598d99b90da7254b0f82fc6931d0d1b805e3e39109f912d2361f1a34f0b070","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-02-02T05:04:51Z","title_canon_sha256":"dff324a43c0554d37e90e06e4470cd6610077870f820d9824b083f33a791a117"},"schema_version":"1.0","source":{"id":"2402.01145","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01145","created_at":"2026-07-05T09:19:53Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01145v3","created_at":"2026-07-05T09:19:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01145","created_at":"2026-07-05T09:19:53Z"},{"alias_kind":"pith_short_12","alias_value":"TBOL4GMWUZNP","created_at":"2026-07-05T09:19:53Z"},{"alias_kind":"pith_short_16","alias_value":"TBOL4GMWUZNPH5CJ","created_at":"2026-07-05T09:19:53Z"},{"alias_kind":"pith_short_8","alias_value":"TBOL4GMW","created_at":"2026-07-05T09:19:53Z"}],"graph_snapshots":[{"event_id":"sha256:3b00de96cb8434485ef00a2864f353824efa33d905b7c79699e2f29f2bc87dfc","target":"graph","created_at":"2026-07-05T09:19:53Z","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/2402.01145/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The omnipresence of NP-hard combinatorial optimization problems (COPs) compels domain experts to engage in trial-and-error heuristic design. The long-standing endeavor of design automation has gained new momentum with the rise of large language models (LLMs). This paper introduces Language Hyper-Heuristics (LHHs), an emerging variant of Hyper-Heuristics that leverages LLMs for heuristic generation, featuring minimal manual intervention and open-ended heuristic spaces. To empower LHHs, we present Reflective Evolution (ReEvo), a novel integration of evolutionary search for efficiently exploring ","authors_text":"Chuanbo Hua, Federico Berto, Guojie Song, Haeyeon Kim, Haoran Ye, Jiarui Wang, Jinkyoo Park, Zhiguang Cao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-02-02T05:04:51Z","title":"ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01145","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":"sha256:6f97ee4c2d9892abbcd640b92bad4bb0dc7b28ae4324d5efe511c2bd84b54811","target":"record","created_at":"2026-07-05T09:19:53Z","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":"15598d99b90da7254b0f82fc6931d0d1b805e3e39109f912d2361f1a34f0b070","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2024-02-02T05:04:51Z","title_canon_sha256":"dff324a43c0554d37e90e06e4470cd6610077870f820d9824b083f33a791a117"},"schema_version":"1.0","source":{"id":"2402.01145","kind":"arxiv","version":3}},"canonical_sha256":"985cbe1996a65af3f449fb25248497386a80fb20fdfe88c24f2a1d057ea12df3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"985cbe1996a65af3f449fb25248497386a80fb20fdfe88c24f2a1d057ea12df3","first_computed_at":"2026-07-05T09:19:53.934517Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:19:53.934517Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2/ddJ5m4bgaSABraHgfi3+deQIxDUBREqLzcFuyhBjHJVRMH7xSsd7mLVv8tzaSvVS+oZXi9O0u3Zno/SgFpCg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:19:53.934992Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.01145","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f97ee4c2d9892abbcd640b92bad4bb0dc7b28ae4324d5efe511c2bd84b54811","sha256:3b00de96cb8434485ef00a2864f353824efa33d905b7c79699e2f29f2bc87dfc"],"state_sha256":"4fc8dc44ec204dbbf383715a07a594b85a45e6169c14aa5fa33ee50068e066c0"}