{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:64PXN6JV7PIP6LKUIYZEE4BIYP","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":"c6abc2b935a41af129fb5f5fb671b2a13039cba0e89c5d4e0cb511d28bbae505","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-01T07:24:12Z","title_canon_sha256":"37cacece008dd2ac2df3c054e2d315605c3fa43431ed670364b8e2d821c97d40"},"schema_version":"1.0","source":{"id":"2608.00485","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.00485","created_at":"2026-08-04T00:36:51Z"},{"alias_kind":"arxiv_version","alias_value":"2608.00485v1","created_at":"2026-08-04T00:36:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.00485","created_at":"2026-08-04T00:36:51Z"},{"alias_kind":"pith_short_12","alias_value":"64PXN6JV7PIP","created_at":"2026-08-04T00:36:51Z"},{"alias_kind":"pith_short_16","alias_value":"64PXN6JV7PIP6LKU","created_at":"2026-08-04T00:36:51Z"},{"alias_kind":"pith_short_8","alias_value":"64PXN6JV","created_at":"2026-08-04T00:36:51Z"}],"graph_snapshots":[{"event_id":"sha256:c4852c47cc662f44fce9944d2d49cb3f6a2500771b7191874fde5093d4a43395","target":"graph","created_at":"2026-08-04T00:36:51Z","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/2608.00485/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent Text-to-SQL systems increasingly rely on multi-turn interaction, execution feedback, and reinforcement learning. However, most existing methods use execution correctness only as a trajectory-level reward, which provides limited guidance for identifying the SQL decisions responsible for success or failure. We propose SERL-SQL, a selective execution-grounded reinforcement learning framework for multi-turn Text-to-SQL agents. SERL-SQL samples on-policy SQL interaction trajectories and uses a training-only teacher to re-score student actions with execution feedback. The resulting teacher--s","authors_text":"Chao Wu, Dixuan Zhang, Hongying Zan, Jinwang Song, Kunli Zhang, Lin Lan, Siquan Li, Tao Feng, Tao Liu, Xiangheng Li, Xiaoqing Cheng, Yifan Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-01T07:24:12Z","title":"SERL-SQL: Selective Hindsight Distillation for Text-to-SQL Reinforcement Agentic Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.00485","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:da264b8e7d0d860dc291112c327ae2a135f23d6c4e44f1b344545a0367eff6aa","target":"record","created_at":"2026-08-04T00:36:51Z","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":"c6abc2b935a41af129fb5f5fb671b2a13039cba0e89c5d4e0cb511d28bbae505","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-08-01T07:24:12Z","title_canon_sha256":"37cacece008dd2ac2df3c054e2d315605c3fa43431ed670364b8e2d821c97d40"},"schema_version":"1.0","source":{"id":"2608.00485","kind":"arxiv","version":1}},"canonical_sha256":"f71f76f935fbd0ff2d544632427028c3f01dd554c3bc38c9c38bfa4289df717e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f71f76f935fbd0ff2d544632427028c3f01dd554c3bc38c9c38bfa4289df717e","first_computed_at":"2026-08-04T00:36:51.680770Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T00:36:51.680770Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Df74jWZLGfAw2ZRjWRzsy7x0lWkoTyydSkfWtwaupC2YY1yo6VZVqraoHgJQiWfn5vSUf3UsaP4jIdwHhkEgCQ==","signature_status":"signed_v1","signed_at":"2026-08-04T00:36:51.682296Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.00485","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:da264b8e7d0d860dc291112c327ae2a135f23d6c4e44f1b344545a0367eff6aa","sha256:c4852c47cc662f44fce9944d2d49cb3f6a2500771b7191874fde5093d4a43395"],"state_sha256":"92739fc483d58214e86910c4cec37237ee39a3502d548b10b7e711cc1a1d37b4"}