{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:CDCNATTLPWMEXKZRMGYSA5QAXY","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":"259e532b724053ccca4f14fa9299ab03ef29dc974c62355508f2c04a05f34f1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-03T07:23:48Z","title_canon_sha256":"d517328b771bb7e9072dec81ab91425538353f7dd9d3b392dec3c979dca6d86c"},"schema_version":"1.0","source":{"id":"1608.01093","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.01093","created_at":"2026-05-18T00:59:34Z"},{"alias_kind":"arxiv_version","alias_value":"1608.01093v2","created_at":"2026-05-18T00:59:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.01093","created_at":"2026-05-18T00:59:34Z"},{"alias_kind":"pith_short_12","alias_value":"CDCNATTLPWME","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_16","alias_value":"CDCNATTLPWMEXKZR","created_at":"2026-05-18T12:30:09Z"},{"alias_kind":"pith_short_8","alias_value":"CDCNATTL","created_at":"2026-05-18T12:30:09Z"}],"graph_snapshots":[{"event_id":"sha256:ad96684aaabfdc47306d5bea0b268e96314216088c38625a5323fc1176b44c93","target":"graph","created_at":"2026-05-18T00:59:34Z","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":"Our interest in this paper is in optimisation problems that are intractable to solve by direct numerical optimisation, but nevertheless have significant amounts of relevant domain-specific knowledge. The category of heuristic search techniques known as estimation of distribution algorithms (EDAs) seek to incrementally sample from probability distributions in which optimal (or near-optimal) solutions have increasingly higher probabilities. Can we use domain knowledge to assist the estimation of these distributions? To answer this in the affirmative, we need: (a)a general-purpose technique for t","authors_text":"Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Puneet Agarwal, Sarmimala Saikia","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-03T07:23:48Z","title":"Generation of Near-Optimal Solutions Using ILP-Guided Sampling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.01093","kind":"arxiv","version":2},"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:b33ac97418fc72b78155718205dd4ad70f6a9cccd3c287c00fd3ca20f95b0381","target":"record","created_at":"2026-05-18T00:59:34Z","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":"259e532b724053ccca4f14fa9299ab03ef29dc974c62355508f2c04a05f34f1a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-08-03T07:23:48Z","title_canon_sha256":"d517328b771bb7e9072dec81ab91425538353f7dd9d3b392dec3c979dca6d86c"},"schema_version":"1.0","source":{"id":"1608.01093","kind":"arxiv","version":2}},"canonical_sha256":"10c4d04e6b7d984bab3161b1207600be219e9cf7a013eb6bdc2c221ebc6555d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"10c4d04e6b7d984bab3161b1207600be219e9cf7a013eb6bdc2c221ebc6555d0","first_computed_at":"2026-05-18T00:59:34.364768Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:59:34.364768Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZrtfG7ACeCPqxyWgmKaPyZKUvcGqc84PQ2D/KWOG0/PW+3af4GoB2UrjsjJ+UgAzTS5bq3jcLu4X812A63nADA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:59:34.365445Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.01093","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b33ac97418fc72b78155718205dd4ad70f6a9cccd3c287c00fd3ca20f95b0381","sha256:ad96684aaabfdc47306d5bea0b268e96314216088c38625a5323fc1176b44c93"],"state_sha256":"d1dcbe01775ea43522f3372687cb3b916a9b154a4d77541b3cedeeaff084a289"}