{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:D5F6ZXKHMN3QBIRCF22M7HYQ54","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":"304839b46214305ba9ac51a7fae9034693a135dc6196cba45de1b6a6c964d2f8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-13T11:17:53Z","title_canon_sha256":"754e7859e92fd1b795ae44b08fa6f229e6dd90bdc76e5ce1b69d43331d96bdf2"},"schema_version":"1.0","source":{"id":"2502.09183","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.09183","created_at":"2026-07-05T11:56:52Z"},{"alias_kind":"arxiv_version","alias_value":"2502.09183v2","created_at":"2026-07-05T11:56:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.09183","created_at":"2026-07-05T11:56:52Z"},{"alias_kind":"pith_short_12","alias_value":"D5F6ZXKHMN3Q","created_at":"2026-07-05T11:56:52Z"},{"alias_kind":"pith_short_16","alias_value":"D5F6ZXKHMN3QBIRC","created_at":"2026-07-05T11:56:52Z"},{"alias_kind":"pith_short_8","alias_value":"D5F6ZXKH","created_at":"2026-07-05T11:56:52Z"}],"graph_snapshots":[{"event_id":"sha256:0a83efcba0c4ec26556938b7c0e3c619bcaade7d31b16811fb794e3093e6344c","target":"graph","created_at":"2026-07-05T11:56:52Z","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/2502.09183/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code generation has attracted increasing attention with the rise of Large Language Models (LLMs). Many studies have developed powerful code LLMs by synthesizing code-related instruction data and applying supervised fine-tuning. However, these methods are limited by teacher model distillation and ignore the potential of iterative refinement by self-generated code. In this paper, we propose Adaptive Critique Refinement (ACR), which enables the model to refine itself by self-generated code and external critique, rather than directly imitating the code responses of the teacher model. Concretely, A","authors_text":"Changzhi Zhou, Dandan Song, Huipeng Ma, Linmei Hu, Mengdi Zhang, Wanli Gu, Xiancai Chen, Xinyu Zhang, Yuhang Tian","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-13T11:17:53Z","title":"RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.09183","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:cafe8cad51e3738c3f08da7523becb6ee8782f27d257d71ee35f1c8abca6244c","target":"record","created_at":"2026-07-05T11:56:52Z","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":"304839b46214305ba9ac51a7fae9034693a135dc6196cba45de1b6a6c964d2f8","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-02-13T11:17:53Z","title_canon_sha256":"754e7859e92fd1b795ae44b08fa6f229e6dd90bdc76e5ce1b69d43331d96bdf2"},"schema_version":"1.0","source":{"id":"2502.09183","kind":"arxiv","version":2}},"canonical_sha256":"1f4becdd47637700a2222eb4cf9f10ef24b58e8ae22058167c07ec50f905e5c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f4becdd47637700a2222eb4cf9f10ef24b58e8ae22058167c07ec50f905e5c6","first_computed_at":"2026-07-05T11:56:52.828810Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:56:52.828810Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rTSubSiDSeBGO7LVfSHbTwOlkUKBofyl6ag4ZtNRJByqbdDftX7OBMlf/LYJyADnQJ4lkH5z5BjqS4/JZPnLCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:56:52.829293Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.09183","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cafe8cad51e3738c3f08da7523becb6ee8782f27d257d71ee35f1c8abca6244c","sha256:0a83efcba0c4ec26556938b7c0e3c619bcaade7d31b16811fb794e3093e6344c"],"state_sha256":"30fefdc38598e8f05d0e6dd4e42f2357782ac5c098b8fa7bed57120ec2be9b04"}