{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:VUE66IBDIB7UGX6IDTXW5KQEO2","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":"42de8672ead9fa7453cb60cace4a62bf835e8fe12a4d004041509446f9288fdf","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-25T06:06:08Z","title_canon_sha256":"3c050bd9b880196437d80b445c6b24fdc8324af6be949414ab004aff1eea8d2a"},"schema_version":"1.0","source":{"id":"2204.11454","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.11454","created_at":"2026-07-05T05:12:11Z"},{"alias_kind":"arxiv_version","alias_value":"2204.11454v2","created_at":"2026-07-05T05:12:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.11454","created_at":"2026-07-05T05:12:11Z"},{"alias_kind":"pith_short_12","alias_value":"VUE66IBDIB7U","created_at":"2026-07-05T05:12:11Z"},{"alias_kind":"pith_short_16","alias_value":"VUE66IBDIB7UGX6I","created_at":"2026-07-05T05:12:11Z"},{"alias_kind":"pith_short_8","alias_value":"VUE66IBD","created_at":"2026-07-05T05:12:11Z"}],"graph_snapshots":[{"event_id":"sha256:d32bb477f69a7661d8b3af41d10db8240622e99baecb9a8b0e05e7ab6d930842","target":"graph","created_at":"2026-07-05T05:12:11Z","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/2204.11454/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generative models of code, pretrained on large corpora of programs, have shown great success in translating natural language to code (Chen et al., 2021; Austin et al., 2021; Li et al., 2022, inter alia). While these models do not explicitly incorporate program semantics (i.e., execution results) during training, they are able to generate correct solutions for many problems. However, choosing a single correct program from a generated set for each problem remains challenging. In this work, we introduce execution result--based minimum Bayes risk decoding (MBR-EXEC) for program selection and show ","authors_text":"Daniel Fried, Freda Shi, Luke Zettlemoyer, Marjan Ghazvininejad, Sida I. Wang","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-25T06:06:08Z","title":"Natural Language to Code Translation with Execution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.11454","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":"sha256:06b0fd4aa33a1987cb28b28eca73bdad245df7721b98e586a13c6433c696fccf","target":"record","created_at":"2026-07-05T05:12:11Z","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":"42de8672ead9fa7453cb60cace4a62bf835e8fe12a4d004041509446f9288fdf","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-04-25T06:06:08Z","title_canon_sha256":"3c050bd9b880196437d80b445c6b24fdc8324af6be949414ab004aff1eea8d2a"},"schema_version":"1.0","source":{"id":"2204.11454","kind":"arxiv","version":2}},"canonical_sha256":"ad09ef2023407f435fc81cef6eaa0476b7cdc9ac7c546d4de6a95d0885a8e676","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad09ef2023407f435fc81cef6eaa0476b7cdc9ac7c546d4de6a95d0885a8e676","first_computed_at":"2026-07-05T05:12:11.641225Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:11.641225Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BWI1jdFRtW4WSH5iT99cbuq3BmRLkB037MxKtYdwn4yDUMBZUaDC70YAA36W2zruSIrKhCsLx9B38qBBxnkbBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:11.641752Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.11454","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06b0fd4aa33a1987cb28b28eca73bdad245df7721b98e586a13c6433c696fccf","sha256:d32bb477f69a7661d8b3af41d10db8240622e99baecb9a8b0e05e7ab6d930842"],"state_sha256":"917112e7e13dff2b54996cd66361d63db81328ed3076af5dd289560a1f87d167"}