{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:C66E7IT6O2KJE6HDED2CRFWRKO","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":"97476a43105d63d253f177d04c2f75974fe88c02a0569c911e59202383f60067","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-24T18:58:06Z","title_canon_sha256":"e2d8f362d315619c1476c2d3dd3500cfe0c83e668fbca6e668a5a4593f94fd57"},"schema_version":"1.0","source":{"id":"2302.12822","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.12822","created_at":"2026-07-05T07:49:30Z"},{"alias_kind":"arxiv_version","alias_value":"2302.12822v3","created_at":"2026-07-05T07:49:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.12822","created_at":"2026-07-05T07:49:30Z"},{"alias_kind":"pith_short_12","alias_value":"C66E7IT6O2KJ","created_at":"2026-07-05T07:49:30Z"},{"alias_kind":"pith_short_16","alias_value":"C66E7IT6O2KJE6HD","created_at":"2026-07-05T07:49:30Z"},{"alias_kind":"pith_short_8","alias_value":"C66E7IT6","created_at":"2026-07-05T07:49:30Z"}],"graph_snapshots":[{"event_id":"sha256:f10458cf90fe5ce417822e273ec19de127932e535fc6821568a76cd04db36ffe","target":"graph","created_at":"2026-07-05T07:49:30Z","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/2302.12822/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Chain-of-thought (CoT) advances the reasoning abilities of large language models (LLMs) and achieves superior performance in complex reasoning tasks. However, most CoT studies rely on carefully designed human-annotated rational chains to prompt LLMs, posing challenges for real-world applications where labeled data is available without rational chains. This paper proposes a new strategy, Automate-CoT (Automatic Prompt Augmentation and Selection with Chain-of-Thought), that can bypass human engineering of CoT by automatically augmenting rational chains from a small labeled dataset, and then prun","authors_text":"Kashun Shum, Shizhe Diao, Tong Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-24T18:58:06Z","title":"Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.12822","kind":"arxiv","version":3},"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":"sha256:9bb2d611558b8ac10108fea46e9eea11a43cfb0b557b3a6a709f6292e38b525e","target":"record","created_at":"2026-07-05T07:49:30Z","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":"97476a43105d63d253f177d04c2f75974fe88c02a0569c911e59202383f60067","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-02-24T18:58:06Z","title_canon_sha256":"e2d8f362d315619c1476c2d3dd3500cfe0c83e668fbca6e668a5a4593f94fd57"},"schema_version":"1.0","source":{"id":"2302.12822","kind":"arxiv","version":3}},"canonical_sha256":"17bc4fa27e76949278e320f42896d153a3c3c8f20f654e43145668e63037ffd0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17bc4fa27e76949278e320f42896d153a3c3c8f20f654e43145668e63037ffd0","first_computed_at":"2026-07-05T07:49:30.275108Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:49:30.275108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J3sLAoKSQ108FUigq4OHMezSWetl+4FwBA5QvNW+K48RLDt5b7WMGtD2+Fl7HKiYh3WYgxVZcDg+NaaoSb9sAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:49:30.275599Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.12822","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9bb2d611558b8ac10108fea46e9eea11a43cfb0b557b3a6a709f6292e38b525e","sha256:f10458cf90fe5ce417822e273ec19de127932e535fc6821568a76cd04db36ffe"],"state_sha256":"efd4cf4fa45c102a8e55b57715e2157916abbe47f97fd3150392b4439059bb20"}