{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YLCASQPY2GGF6RHYNMJHWOVS3M","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":"6f7d3f7a3a387453a9494db8ff64b4766569a54454961a67e6ad1068e162ec0a","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T15:45:52Z","title_canon_sha256":"50710d94e2012fd71f941bcab2b486d2766c0964873e3db821c74b1b955ed430"},"schema_version":"1.0","source":{"id":"2410.07002","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07002","created_at":"2026-07-05T11:02:13Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07002v3","created_at":"2026-07-05T11:02:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07002","created_at":"2026-07-05T11:02:13Z"},{"alias_kind":"pith_short_12","alias_value":"YLCASQPY2GGF","created_at":"2026-07-05T11:02:13Z"},{"alias_kind":"pith_short_16","alias_value":"YLCASQPY2GGF6RHY","created_at":"2026-07-05T11:02:13Z"},{"alias_kind":"pith_short_8","alias_value":"YLCASQPY","created_at":"2026-07-05T11:02:13Z"}],"graph_snapshots":[{"event_id":"sha256:4c40a42572595d4d8913d497193fdb46ec34ea264fb740df9fcd00df9aadc1fb","target":"graph","created_at":"2026-07-05T11:02:13Z","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/2410.07002/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models have been successfully applied to programming assistance tasks, such as code completion, code insertion, and instructional code editing. However, these applications remain insufficiently automated and struggle to effectively integrate various types of information during the programming process, including coding history, current code, and user instructions. In this work, we propose a new conversational framework that comprehensively integrates these information sources, collect data to train our models and evaluate their performance. Firstly, to thoroughly evaluate how wel","authors_text":"Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang","cross_cats":["cs.AI","cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T15:45:52Z","title":"CursorCore: Assist Programming through Aligning Anything"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07002","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:d94b894e55d90dedf85b6af9fc69e11b0997e9793e506d33a74392eaa796117c","target":"record","created_at":"2026-07-05T11:02:13Z","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":"6f7d3f7a3a387453a9494db8ff64b4766569a54454961a67e6ad1068e162ec0a","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T15:45:52Z","title_canon_sha256":"50710d94e2012fd71f941bcab2b486d2766c0964873e3db821c74b1b955ed430"},"schema_version":"1.0","source":{"id":"2410.07002","kind":"arxiv","version":3}},"canonical_sha256":"c2c40941f8d18c5f44f86b127b3ab2db0eea293a7b9054a29cb470f2502778de","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2c40941f8d18c5f44f86b127b3ab2db0eea293a7b9054a29cb470f2502778de","first_computed_at":"2026-07-05T11:02:13.263944Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:02:13.263944Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m9Eq3K9Y/ExP4emGKnE1llOgpOveIu0ofnkzGDGQqXtM8HGUGqlbhBZNMZjQhqta4fx/P7hQaOY2RqPZPpnMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:02:13.264418Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.07002","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d94b894e55d90dedf85b6af9fc69e11b0997e9793e506d33a74392eaa796117c","sha256:4c40a42572595d4d8913d497193fdb46ec34ea264fb740df9fcd00df9aadc1fb"],"state_sha256":"59226dd45536f551a63149232a17d252c2cabbe5d13c6ec722f3ed95bea52153"}