{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZKRPQAQVOF5KNQQIJOM3ORY3BY","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":"2113b77784b1e4a8425e205b2d0d74875245cdef54b49d79fa10a6383720bf2a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-10T17:52:15Z","title_canon_sha256":"c7943e88a3b048874d9d2b5c913962b0a8c08dc0e272fe5abf169a1961f6aebd"},"schema_version":"1.0","source":{"id":"2606.12387","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.12387","created_at":"2026-06-11T02:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2606.12387v1","created_at":"2026-06-11T02:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.12387","created_at":"2026-06-11T02:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"ZKRPQAQVOF5K","created_at":"2026-06-11T02:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"ZKRPQAQVOF5KNQQI","created_at":"2026-06-11T02:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"ZKRPQAQV","created_at":"2026-06-11T02:09:49Z"}],"graph_snapshots":[{"event_id":"sha256:8742e0b73570e409bfed69673c2797645e432dfa8e5db8c79c5905f67ec90dff","target":"graph","created_at":"2026-06-11T02:09:49Z","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/2606.12387/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have democratized database access through Text-to-SQL, but moving from prototypes to production remains difficult. Real deployments must handle strict SQL dialects, massive schemas, and evolving user preferences, while supervised fine-tuning is costly and rigid and agentic test-time scaling is expensive. We present Tahoe, a system that treats prompt optimization as a dynamic data management problem. Tahoe uses an error-driven hint learning pipeline across Development and Deployment to consolidate debugging traces into a structured Hint Bank. Compiler feedback is di","authors_text":"Jie Song, Peng Li, Zhiyi Chen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-10T17:52:15Z","title":"TAHOE: Text-to-SQL with Automated Hint Optimization from Experience"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.12387","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:aa3d8994224b7cd0deb30f29e25606405769e771a7e8646b9b6d2d485596a4e9","target":"record","created_at":"2026-06-11T02:09:49Z","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":"2113b77784b1e4a8425e205b2d0d74875245cdef54b49d79fa10a6383720bf2a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-10T17:52:15Z","title_canon_sha256":"c7943e88a3b048874d9d2b5c913962b0a8c08dc0e272fe5abf169a1961f6aebd"},"schema_version":"1.0","source":{"id":"2606.12387","kind":"arxiv","version":1}},"canonical_sha256":"caa2f80215717aa6c2084b99b7471b0e237f93575c1a2089ddc61617d4694399","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"caa2f80215717aa6c2084b99b7471b0e237f93575c1a2089ddc61617d4694399","first_computed_at":"2026-06-11T02:09:49.376042Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T02:09:49.376042Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hjwogh6PBl8okdCgRt/FTnYdOdSBKXMBZ/r72H6PR5QkVXkTWX/ocF1AcrbkDBsimEvuz66yHauGIfFauLVmBA==","signature_status":"signed_v1","signed_at":"2026-06-11T02:09:49.376616Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.12387","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa3d8994224b7cd0deb30f29e25606405769e771a7e8646b9b6d2d485596a4e9","sha256:8742e0b73570e409bfed69673c2797645e432dfa8e5db8c79c5905f67ec90dff"],"state_sha256":"8428c7e89d4a58af2e617bfe965a936d8d17742e0486120b52455e5c3a3f898a"}