{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VTJONDUYP5LN44AYI4PY7A5U5U","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":"308eb6e3fe5d34c1b8354626a1098e3265c5348a750dd8adeab413ad4b3f17d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-18T03:20:50Z","title_canon_sha256":"ec7fc2b397423ae88ebf67afb2fcafb0e16ca185102c4bfc5ed0c5ed06cd3788"},"schema_version":"1.0","source":{"id":"2502.12492","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12492","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12492v1","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12492","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"pith_short_12","alias_value":"VTJONDUYP5LN","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"pith_short_16","alias_value":"VTJONDUYP5LN44AY","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"pith_short_8","alias_value":"VTJONDUY","created_at":"2026-07-05T10:15:56Z"}],"graph_snapshots":[{"event_id":"sha256:6c35460cbd853db07d453490fde38f135a6d7ee61eb737c45977238d861445ab","target":"graph","created_at":"2026-07-05T10:15:56Z","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/2502.12492/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have demonstrated remarkable capabilities in various domains, particularly in system 1 tasks, yet the intricacies of their problem-solving mechanisms in system 2 tasks are not sufficiently explored. Recent research on System2-to-System1 methods surge, exploring the System 2 reasoning knowledge via inference-time computation and compressing the explored knowledge into System 1 process. In this paper, we focus on code generation, which is a representative System 2 task, and identify two primary challenges: (1) the complex hidden reasoning processes and (2) the hetero","authors_text":"Hanjing Wang, Jianxing Liu, Jizheng Chen, Jun Wang, Kounianhua Du, Ruiming Tang, Weinan Zhang, Xinyi Dai, Yasheng Wang, Yong Yu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-18T03:20:50Z","title":"Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12492","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":"sha256:25baf41a091fdb7e607094a6ae7d9c25440bdec4559865c98c05b1638feb56d9","target":"record","created_at":"2026-07-05T10:15:56Z","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":"308eb6e3fe5d34c1b8354626a1098e3265c5348a750dd8adeab413ad4b3f17d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-02-18T03:20:50Z","title_canon_sha256":"ec7fc2b397423ae88ebf67afb2fcafb0e16ca185102c4bfc5ed0c5ed06cd3788"},"schema_version":"1.0","source":{"id":"2502.12492","kind":"arxiv","version":1}},"canonical_sha256":"acd2e68e987f56de7018471f8f83b4ed31733fbece9ed61441fa3a47c75b8f54","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"acd2e68e987f56de7018471f8f83b4ed31733fbece9ed61441fa3a47c75b8f54","first_computed_at":"2026-07-05T10:15:56.452012Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:56.452012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mty2ybM0DclYuI1zUzXiG0TD/UqhBWrTcKkBWN8NWXbwVDn8kFxUO3z1pfMh2sNItXatvvKNzCRW9T6aooNqCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:56.452504Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.12492","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25baf41a091fdb7e607094a6ae7d9c25440bdec4559865c98c05b1638feb56d9","sha256:6c35460cbd853db07d453490fde38f135a6d7ee61eb737c45977238d861445ab"],"state_sha256":"5454d4106158c4af1d1e31d195155b0919d7d5ca288871ec88f39708c5ef7a3e"}