{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IB56YPAMHGFDCGTZDOTL5E7HGH","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":"fd2d9f77184d75b6357cc765499343a54a7f2e0e76f219d6c93dcac338d75b5c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-06T18:33:38Z","title_canon_sha256":"15accb5ba664c700c20d59bd846ec9a0551cf486295b91c0c1facba90d05205c"},"schema_version":"1.0","source":{"id":"2409.04556","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.04556","created_at":"2026-07-05T10:19:28Z"},{"alias_kind":"arxiv_version","alias_value":"2409.04556v2","created_at":"2026-07-05T10:19:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.04556","created_at":"2026-07-05T10:19:28Z"},{"alias_kind":"pith_short_12","alias_value":"IB56YPAMHGFD","created_at":"2026-07-05T10:19:28Z"},{"alias_kind":"pith_short_16","alias_value":"IB56YPAMHGFDCGTZ","created_at":"2026-07-05T10:19:28Z"},{"alias_kind":"pith_short_8","alias_value":"IB56YPAM","created_at":"2026-07-05T10:19:28Z"}],"graph_snapshots":[{"event_id":"sha256:ea7d36f63b07066545e06e5bfbf33a84c0cd55698983a311ede46acb69c8acef","target":"graph","created_at":"2026-07-05T10:19:28Z","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/2409.04556/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models are increasingly trained on corpora containing both natural language and non-linguistic data like source code. Aside from aiding programming-related tasks, anecdotal evidence suggests that including code in pretraining corpora may improve performance on other, unrelated tasks, yet to date no work has been able to establish a causal connection by controlling between language and code data. Here we do just this. We pretrain language models on datasets which interleave natural language and code in two different settings: additive, in which the total volume of data seen durin","authors_text":"Jackson Petty, Sjoerd van Steenkiste, Tal Linzen","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-06T18:33:38Z","title":"How Does Code Pretraining Affect Language Model Task Performance?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.04556","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:f8c018557342cd58e35bda3cb7bd325ea956700ab0f3f73ddcb726786bfdafe0","target":"record","created_at":"2026-07-05T10:19:28Z","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":"fd2d9f77184d75b6357cc765499343a54a7f2e0e76f219d6c93dcac338d75b5c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-09-06T18:33:38Z","title_canon_sha256":"15accb5ba664c700c20d59bd846ec9a0551cf486295b91c0c1facba90d05205c"},"schema_version":"1.0","source":{"id":"2409.04556","kind":"arxiv","version":2}},"canonical_sha256":"407bec3c0c398a311a791ba6be93e731d45a6aa9c4d136c14229b0cb519330d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"407bec3c0c398a311a791ba6be93e731d45a6aa9c4d136c14229b0cb519330d2","first_computed_at":"2026-07-05T10:19:28.018104Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:19:28.018104Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OHuJoxw7FB+zlxyMWzJOITR6GgsdpuZfjxBvw3FiDbaRTaUomVO0LNwEBGwL6Ai+CEfrxRD/V6DwVFXGJdzHDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:19:28.018584Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.04556","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f8c018557342cd58e35bda3cb7bd325ea956700ab0f3f73ddcb726786bfdafe0","sha256:ea7d36f63b07066545e06e5bfbf33a84c0cd55698983a311ede46acb69c8acef"],"state_sha256":"d8ca5a0cfcd302c2f4af7fecdcc9abdb36f91d00e32b7c1accbf7a615554174a"}