{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PSVSVCZVFV4DEMG7E7EVUVS24A","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":"899cbb772887ac6a65bd25a09caa49b2f3a073ed9e1da1f4de482952a47ebc2e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-27T03:15:53Z","title_canon_sha256":"56efbda0d56a62820f901bcb59fa4565bb0b66d3b2d30a1cac4346e86f96fc63"},"schema_version":"1.0","source":{"id":"2508.19532","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.19532","created_at":"2026-07-05T12:00:13Z"},{"alias_kind":"arxiv_version","alias_value":"2508.19532v1","created_at":"2026-07-05T12:00:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19532","created_at":"2026-07-05T12:00:13Z"},{"alias_kind":"pith_short_12","alias_value":"PSVSVCZVFV4D","created_at":"2026-07-05T12:00:13Z"},{"alias_kind":"pith_short_16","alias_value":"PSVSVCZVFV4DEMG7","created_at":"2026-07-05T12:00:13Z"},{"alias_kind":"pith_short_8","alias_value":"PSVSVCZV","created_at":"2026-07-05T12:00:13Z"}],"graph_snapshots":[{"event_id":"sha256:fdd46ce9cc5ea957e2a202a702b2f7a5d01016b9fcb493b37d3ba106b585dac5","target":"graph","created_at":"2026-07-05T12:00:13Z","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/2508.19532/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The code generation capabilities of Large Language Models (LLMs) have advanced applications like tool invocation and problem-solving. However, improving performance in code-related tasks remains challenging due to limited training data that is verifiable with accurate test cases. While Direct Preference Optimization (DPO) has shown promise, existing methods for generating test cases still face limitations. In this paper, we propose a novel approach that splits code snippets into smaller, granular blocks, creating more diverse DPO pairs from the same test cases. Additionally, we introduce the A","authors_text":"Aojun Zhou, Haotian Hou, Hongsheng Li, Houxing Ren, Junting Pan, Ke Wang, Mingjie Zhan, Weikang Shi, Yunqiao Yang, Zimu Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-27T03:15:53Z","title":"Alignment with Fill-In-the-Middle for Enhancing Code Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19532","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":"sha256:8ce846e525aca1535a01aba4016f68a6c2b5b8e78cdb65afae7611831117d768","target":"record","created_at":"2026-07-05T12:00:13Z","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":"899cbb772887ac6a65bd25a09caa49b2f3a073ed9e1da1f4de482952a47ebc2e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-27T03:15:53Z","title_canon_sha256":"56efbda0d56a62820f901bcb59fa4565bb0b66d3b2d30a1cac4346e86f96fc63"},"schema_version":"1.0","source":{"id":"2508.19532","kind":"arxiv","version":1}},"canonical_sha256":"7cab2a8b352d783230df27c95a565ae01f018e424f47981943e486cfbc499aaa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7cab2a8b352d783230df27c95a565ae01f018e424f47981943e486cfbc499aaa","first_computed_at":"2026-07-05T12:00:13.431081Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:13.431081Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+7TzD7YdrPfI+3qSEWhIhxcfpyOrjKu3zLy833Is8yLmPK3BP8F/0hJ5OKERr23ZZnIIEo154xEVHjLaSNbyDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:13.431540Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.19532","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8ce846e525aca1535a01aba4016f68a6c2b5b8e78cdb65afae7611831117d768","sha256:fdd46ce9cc5ea957e2a202a702b2f7a5d01016b9fcb493b37d3ba106b585dac5"],"state_sha256":"982a934b7c7ce830a7e5d02e733a0eaede7c5a36ea489c224d0079a01842b488"}