{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NDRRMDKCSEICIRMIWKCZCKGKIH","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":"6c575528cc42228f8dfa7ec8d9e18a33f6536cb78a8e2df5d0a6a7d21b800102","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T18:33:06Z","title_canon_sha256":"12615163841bf650ff0dec8305710c818c58b493752e54dce9a817e7bb749dc0"},"schema_version":"1.0","source":{"id":"2508.16741","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.16741","created_at":"2026-07-05T11:58:02Z"},{"alias_kind":"arxiv_version","alias_value":"2508.16741v1","created_at":"2026-07-05T11:58:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.16741","created_at":"2026-07-05T11:58:02Z"},{"alias_kind":"pith_short_12","alias_value":"NDRRMDKCSEIC","created_at":"2026-07-05T11:58:02Z"},{"alias_kind":"pith_short_16","alias_value":"NDRRMDKCSEICIRMI","created_at":"2026-07-05T11:58:02Z"},{"alias_kind":"pith_short_8","alias_value":"NDRRMDKC","created_at":"2026-07-05T11:58:02Z"}],"graph_snapshots":[{"event_id":"sha256:e8630ca9ea4bfc28c055aee159f4a4674ac1b95216f7c1634882fdb7604caac5","target":"graph","created_at":"2026-07-05T11:58:02Z","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/2508.16741/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effective prompt engineering remains a challenging task for many applications. We introduce Weak-to-Strong Transfer (WST), an automatic prompt engineering framework where a small \"Teacher\" model generates instructions that enhance the performance of a much larger \"Student\" model. Unlike prior work, WST requires only a weak teacher, making it efficient and broadly applicable in settings where large models are closed-source or difficult to fine-tune. Using reinforcement learning, the Teacher Model's instructions are iteratively improved based on the Student Model's outcomes, yielding substantial","authors_text":"Haosen Ge, Lianghuan Huang, Shuo Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T18:33:06Z","title":"WST: Weak-to-Strong Knowledge Transfer via Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.16741","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":"sha256:5a24610691176666a403cab920fa946a98641999fe01b0acd22924bf24507bd2","target":"record","created_at":"2026-07-05T11:58:02Z","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":"6c575528cc42228f8dfa7ec8d9e18a33f6536cb78a8e2df5d0a6a7d21b800102","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-22T18:33:06Z","title_canon_sha256":"12615163841bf650ff0dec8305710c818c58b493752e54dce9a817e7bb749dc0"},"schema_version":"1.0","source":{"id":"2508.16741","kind":"arxiv","version":1}},"canonical_sha256":"68e3160d429110244588b2859128ca41d54cc898825ada89a4d369c5e613ce59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68e3160d429110244588b2859128ca41d54cc898825ada89a4d369c5e613ce59","first_computed_at":"2026-07-05T11:58:02.755606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:58:02.755606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bjh1qeszYIzPU/386m8CvJxFx6KFvUM46/aQpidZEfRdaNEnFSxueJcQzzf9YVVnHbC+UfBvPOApFNAod4xUDg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:58:02.756060Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.16741","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a24610691176666a403cab920fa946a98641999fe01b0acd22924bf24507bd2","sha256:e8630ca9ea4bfc28c055aee159f4a4674ac1b95216f7c1634882fdb7604caac5"],"state_sha256":"b1857b2eaf8a5aed8cbe2700271f0dd3e13ba3aaf0b306606bfe23000e9904ea"}