{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4KVPXCPAKQ6WUJUTEOVTUMG5N7","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":"9fd9f2661682140a70df0b40b3fabe0e8783be3eab77c5b2d559e4bbc99c9a8d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T02:22:16Z","title_canon_sha256":"f0ca646eda450b9aef12d38c569e0b403f112b339ceecd3000835f0a11cedfcf"},"schema_version":"1.0","source":{"id":"2606.04360","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04360","created_at":"2026-06-04T01:09:05Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04360v1","created_at":"2026-06-04T01:09:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04360","created_at":"2026-06-04T01:09:05Z"},{"alias_kind":"pith_short_12","alias_value":"4KVPXCPAKQ6W","created_at":"2026-06-04T01:09:05Z"},{"alias_kind":"pith_short_16","alias_value":"4KVPXCPAKQ6WUJUT","created_at":"2026-06-04T01:09:05Z"},{"alias_kind":"pith_short_8","alias_value":"4KVPXCPA","created_at":"2026-06-04T01:09:05Z"}],"graph_snapshots":[{"event_id":"sha256:60ac0d09b05198b6e02e9e0a1669817662033b1f03d4f681614808ee310b1e91","target":"graph","created_at":"2026-06-04T01:09:05Z","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/2606.04360/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Symbolic regression (SR) discovers compact mathematical expressions from data, yet recent LLM-based evolutionary methods remain sample-inefficient because they rely mainly on scalar feedback such as MSE. We identify a core limitation: existing methods conflate candidate proposal with search guidance, requiring the LLM to infer how to evolve an expression, diagnose its errors, and reuse past experience from a single score. To address this, we propose Deliberate Evolution (DE), an agentic framework that decouples symbolic generation from search control. DE guides LLM proposals with adaptive oper","authors_text":"Bo Han, Changshui Zhang, Fangrui Lv, Sen Cui, Shanshan Wei, Xinyu Pang, Xuan Li, Zhanke Zhou","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T02:22:16Z","title":"Deliberate Evolution: Agentic Reasoning for Sample-Efficient Symbolic Regression with LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04360","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:a49844e18e0fa947db92b8a5e47605f05742f1b47fd9f6595c397e6f6aea6a30","target":"record","created_at":"2026-06-04T01:09:05Z","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":"9fd9f2661682140a70df0b40b3fabe0e8783be3eab77c5b2d559e4bbc99c9a8d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-03T02:22:16Z","title_canon_sha256":"f0ca646eda450b9aef12d38c569e0b403f112b339ceecd3000835f0a11cedfcf"},"schema_version":"1.0","source":{"id":"2606.04360","kind":"arxiv","version":1}},"canonical_sha256":"e2aafb89e0543d6a269323ab3a30dd6ffb8b4b2b1738c60e64171a914b93ed72","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2aafb89e0543d6a269323ab3a30dd6ffb8b4b2b1738c60e64171a914b93ed72","first_computed_at":"2026-06-04T01:09:05.197940Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:05.197940Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xElCFTh0WWkIRc7RxVDeavbPThfJQUN+7nlESmv1IZggSlsSskEwk5UdexPp8eYQLtzPXiVESpZDqlIGpC30Bg==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:05.198447Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.04360","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a49844e18e0fa947db92b8a5e47605f05742f1b47fd9f6595c397e6f6aea6a30","sha256:60ac0d09b05198b6e02e9e0a1669817662033b1f03d4f681614808ee310b1e91"],"state_sha256":"e60722ec7c2922cc6fa0415899c7b0cf51899b1c6bf4c2e44342c5f418e77a00"}