{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VBSDGLFV7JA35DN5MR73OSL4FV","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":"36f768c5d9cfe25caa99bee96ec0cd2c6bad20e561282d59db0c1e99b662172e","cross_cats_sorted":["cs.CL","cs.PL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-03-03T06:04:49Z","title_canon_sha256":"2f04b24ccc3d3e9ae3e710f35c1feb62d4268c6751e6c308c6c38d69e2ba1fb3"},"schema_version":"1.0","source":{"id":"2603.02637","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.02637","created_at":"2026-08-11T02:23:51Z"},{"alias_kind":"arxiv_version","alias_value":"2603.02637v2","created_at":"2026-08-11T02:23:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.02637","created_at":"2026-08-11T02:23:51Z"},{"alias_kind":"pith_short_12","alias_value":"VBSDGLFV7JA3","created_at":"2026-08-11T02:23:51Z"},{"alias_kind":"pith_short_16","alias_value":"VBSDGLFV7JA35DN5","created_at":"2026-08-11T02:23:51Z"},{"alias_kind":"pith_short_8","alias_value":"VBSDGLFV","created_at":"2026-08-11T02:23:51Z"}],"graph_snapshots":[{"event_id":"sha256:a5b42818be7425fa61f4e6a21a9008e2a1f852616720c6f4e66074ea21296edc","target":"graph","created_at":"2026-08-11T02:23:51Z","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/2603.02637/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern machine learning (ML) workloads increasingly rely on GPUs, yet achieving high end-to-end performance remains challenging due to dependencies on both GPU kernel efficiency and host-side settings. Although LLM-based methods show promise on automated GPU kernel generation, prior works mainly focus on single-kernel optimization and do not extend to end-to-end programs, hindering practical deployment.\n  To address the challenge, in this work, we propose StitchCUDA, a multi-agent framework for end-to-end GPU program generation, with three specialized agents: a Planner to orchestrate whole sys","authors_text":"Caiwen Ding, Mingyi Hong, Shiyang Li, Winson Chen, Yuebo Luo, Zijian Zhang","cross_cats":["cs.CL","cs.PL"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-03-03T06:04:49Z","title":"StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.02637","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":"sha256:5aa770fecca89c4dc27dfe62fcbc3c50d7ddeb26d9bd0443a1518bfca4d85300","target":"record","created_at":"2026-08-11T02:23:51Z","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":"36f768c5d9cfe25caa99bee96ec0cd2c6bad20e561282d59db0c1e99b662172e","cross_cats_sorted":["cs.CL","cs.PL"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2026-03-03T06:04:49Z","title_canon_sha256":"2f04b24ccc3d3e9ae3e710f35c1feb62d4268c6751e6c308c6c38d69e2ba1fb3"},"schema_version":"1.0","source":{"id":"2603.02637","kind":"arxiv","version":2}},"canonical_sha256":"a864332cb5fa41be8dbd647fb7497c2d7553a07e73fee1dc6410093e82c41290","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a864332cb5fa41be8dbd647fb7497c2d7553a07e73fee1dc6410093e82c41290","first_computed_at":"2026-08-11T02:23:51.951067Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-11T02:23:51.951067Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aT5qFSKhazCSiLz0QyPYcoUrGoq0w5u+7qTLZX1sNNw8gfgjUnTlYdrzet0GXlzXaKhpJJblU/7z9YVecB8KCA==","signature_status":"signed_v1","signed_at":"2026-08-11T02:23:51.953114Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.02637","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5aa770fecca89c4dc27dfe62fcbc3c50d7ddeb26d9bd0443a1518bfca4d85300","sha256:a5b42818be7425fa61f4e6a21a9008e2a1f852616720c6f4e66074ea21296edc"],"state_sha256":"ebd8e5f265b0f5653f65b65a897ac12c662d54bde5b62d03db273879c83246ed"}