{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2TKXRBF5JHENZM6QEFSSTXREEB","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":"47f6ee55089d3a0a0518a9f7c97ded947100a86ff64377ba8df3fc83df22b82b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-30T07:02:15Z","title_canon_sha256":"6c243e5bc073f34c665fcf5c2bc088312dc57c2d0040a98836071e279bab35cf"},"schema_version":"1.0","source":{"id":"2502.17442","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.17442","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"arxiv_version","alias_value":"2502.17442v2","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.17442","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"pith_short_12","alias_value":"2TKXRBF5JHEN","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"pith_short_16","alias_value":"2TKXRBF5JHENZM6Q","created_at":"2026-07-05T11:10:05Z"},{"alias_kind":"pith_short_8","alias_value":"2TKXRBF5","created_at":"2026-07-05T11:10:05Z"}],"graph_snapshots":[{"event_id":"sha256:03bf005c2ad691d2bb1d3d35bb55e0b3df50f6b31e630f08a304385c5e3a649f","target":"graph","created_at":"2026-07-05T11:10:05Z","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/2502.17442/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code generation is crucial in software engineering for automating the coding process efficiently. While test-time computation methods show promise, they suffer from high latency due to multiple computation rounds. To overcome this, we introduce \\textbf{ThinkCoder}, a framework that combines thorough exploration with optimal refinement. The exploration phase diversifies the solution space by searching for potential solutions, followed by a refinement phase that enhances precision. This approach allows us to select the best solution through careful consideration before taking action, avoiding ex","authors_text":"Flood Sung, Rui Yan, Shuo Shang, Xiaoqing Zhang, Xiuying Chen, Yuhan Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-30T07:02:15Z","title":"Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.17442","kind":"arxiv","version":2},"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:cdc208c7c3fe35ee00bc20cb5088f57f4c80ca9a27ceb30d802deebdf48bb12c","target":"record","created_at":"2026-07-05T11:10:05Z","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":"47f6ee55089d3a0a0518a9f7c97ded947100a86ff64377ba8df3fc83df22b82b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2024-12-30T07:02:15Z","title_canon_sha256":"6c243e5bc073f34c665fcf5c2bc088312dc57c2d0040a98836071e279bab35cf"},"schema_version":"1.0","source":{"id":"2502.17442","kind":"arxiv","version":2}},"canonical_sha256":"d4d57884bd49c8dcb3d0216529de242048b9f7d2fc35db1ac58044042e4afe7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4d57884bd49c8dcb3d0216529de242048b9f7d2fc35db1ac58044042e4afe7c","first_computed_at":"2026-07-05T11:10:05.488094Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:10:05.488094Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z/VC4KcSAMQPKoP7FE2+EsCfyuRjwl2OmCZsota4Aav0efa1y6LO0dbu55hOP7eqxkcFOq9EanLZEfGkJ5DkBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:10:05.488649Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.17442","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdc208c7c3fe35ee00bc20cb5088f57f4c80ca9a27ceb30d802deebdf48bb12c","sha256:03bf005c2ad691d2bb1d3d35bb55e0b3df50f6b31e630f08a304385c5e3a649f"],"state_sha256":"016b62eb1d6a202abb5d647a8d60cae94c561392ed48eddda828cb6351ed31df"}