{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FOJKOPJ2DIB6AAAA43BWDIF6ZK","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":"f0153be463e9067870fb2ed22a55600ff8448825d2b722bc511b2e2cb6521129","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.PL","submitted_at":"2024-06-27T21:47:48Z","title_canon_sha256":"f6e6fdc1017d4553a4485912efbdcf6779dbb7418b7aced39e771b7836215931"},"schema_version":"1.0","source":{"id":"2407.02524","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.02524","created_at":"2026-07-05T08:39:37Z"},{"alias_kind":"arxiv_version","alias_value":"2407.02524v1","created_at":"2026-07-05T08:39:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.02524","created_at":"2026-07-05T08:39:37Z"},{"alias_kind":"pith_short_12","alias_value":"FOJKOPJ2DIB6","created_at":"2026-07-05T08:39:37Z"},{"alias_kind":"pith_short_16","alias_value":"FOJKOPJ2DIB6AAAA","created_at":"2026-07-05T08:39:37Z"},{"alias_kind":"pith_short_8","alias_value":"FOJKOPJ2","created_at":"2026-07-05T08:39:37Z"}],"graph_snapshots":[{"event_id":"sha256:647b1ce1e767ce2011408e1e1c2d3ad4068c1587c9dcd811eba4f313f857ca1a","target":"graph","created_at":"2026-07-05T08:39:37Z","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/2407.02524/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 across a variety of software engineering and coding tasks. However, their application in the domain of code and compiler optimization remains underexplored. Training LLMs is resource-intensive, requiring substantial GPU hours and extensive data collection, which can be prohibitive. To address this gap, we introduce Meta Large Language Model Compiler (LLM Compiler), a suite of robust, openly available, pre-trained models specifically designed for code optimization tasks. Built on the foundation of Code Llama, LLM Compiler en","authors_text":"Baptiste Roziere, Chris Cummins, Dejan Grubisic, Gabriel Synnaeve, Hugh Leather, Jonas Gehring, Volker Seeker","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.PL","submitted_at":"2024-06-27T21:47:48Z","title":"Meta Large Language Model Compiler: Foundation Models of Compiler Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.02524","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":"sha256:55f068ec720b7f9b21f282121f8ed0a1f5646e39276e722f0921a555b6f8ca9e","target":"record","created_at":"2026-07-05T08:39:37Z","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":"f0153be463e9067870fb2ed22a55600ff8448825d2b722bc511b2e2cb6521129","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.PL","submitted_at":"2024-06-27T21:47:48Z","title_canon_sha256":"f6e6fdc1017d4553a4485912efbdcf6779dbb7418b7aced39e771b7836215931"},"schema_version":"1.0","source":{"id":"2407.02524","kind":"arxiv","version":1}},"canonical_sha256":"2b92a73d3a1a03e00000e6c361a0beca9219b78165564e237afbdca2d6f1f861","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b92a73d3a1a03e00000e6c361a0beca9219b78165564e237afbdca2d6f1f861","first_computed_at":"2026-07-05T08:39:37.914169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:39:37.914169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MVP9VPTKINNZnSAWJTVOnFAVt50BrZEIsZuo9Ss4ulSSzK1n6zg7bWY/2VNlL0z4PwnHtIZ5+Lwb2gpYWzBkDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:39:37.914520Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.02524","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55f068ec720b7f9b21f282121f8ed0a1f5646e39276e722f0921a555b6f8ca9e","sha256:647b1ce1e767ce2011408e1e1c2d3ad4068c1587c9dcd811eba4f313f857ca1a"],"state_sha256":"081e2fe6de60576f9be43f071c2fbeec1a0a77ae55bae55564fc1610f80b109f"}