{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AGX6555ONDXCAAYMOPBMBMKFCF","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":"441edb63f861941ef69ec805e59e3e927f30d30191b816341919f794e34e9862","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-11-30T03:02:50Z","title_canon_sha256":"2dddbb6dead2096ab136e9d27b3da29cc6ed810b7452e49b735490de48999b02"},"schema_version":"1.0","source":{"id":"2412.00329","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00329","created_at":"2026-07-05T10:02:08Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00329v2","created_at":"2026-07-05T10:02:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00329","created_at":"2026-07-05T10:02:08Z"},{"alias_kind":"pith_short_12","alias_value":"AGX6555ONDXC","created_at":"2026-07-05T10:02:08Z"},{"alias_kind":"pith_short_16","alias_value":"AGX6555ONDXCAAYM","created_at":"2026-07-05T10:02:08Z"},{"alias_kind":"pith_short_8","alias_value":"AGX6555O","created_at":"2026-07-05T10:02:08Z"}],"graph_snapshots":[{"event_id":"sha256:6ba14c8ce701f6224c232cfa312e7d40727e04d8dc7265dd5373722d428a1b40","target":"graph","created_at":"2026-07-05T10:02:08Z","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/2412.00329/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The use of generative AI-based coding assistants like ChatGPT and Github Copilot is a reality in contemporary software development. Many of these tools are provided as remote APIs. Using third-party APIs raises data privacy and security concerns for client companies, which motivates the use of locally-deployed language models. In this study, we explore the trade-off between model accuracy and energy consumption, aiming to provide valuable insights to help developers make informed decisions when selecting a language model. We investigate the performance of 18 families of LLMs in typical softwar","authors_text":"Boris Belchev, Fernando Castor, Negar Alizadeh, Nishant Saurabh, Patricia Kelbert","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-11-30T03:02:50Z","title":"Language Models in Software Development Tasks: An Experimental Analysis of Energy and Accuracy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00329","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":"sha256:9c3dcbe094c7f97d1ec13948461393c281eb7a7e33c59e54defbbe8d246b30af","target":"record","created_at":"2026-07-05T10:02:08Z","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":"441edb63f861941ef69ec805e59e3e927f30d30191b816341919f794e34e9862","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-11-30T03:02:50Z","title_canon_sha256":"2dddbb6dead2096ab136e9d27b3da29cc6ed810b7452e49b735490de48999b02"},"schema_version":"1.0","source":{"id":"2412.00329","kind":"arxiv","version":2}},"canonical_sha256":"01afeef7ae68ee20030c73c2c0b145114dad0bf9a66cc5f40104ef01ea551c93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"01afeef7ae68ee20030c73c2c0b145114dad0bf9a66cc5f40104ef01ea551c93","first_computed_at":"2026-07-05T10:02:08.162793Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:08.162793Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eUIQXlSHJLkNhcKf87bSMs+SFgvYOpCkJRNv13qMNAxKCC4iwbYvkiIMAF/eWFflgIVm1L9Lm0OIDHDTswzrDw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:08.163257Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00329","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c3dcbe094c7f97d1ec13948461393c281eb7a7e33c59e54defbbe8d246b30af","sha256:6ba14c8ce701f6224c232cfa312e7d40727e04d8dc7265dd5373722d428a1b40"],"state_sha256":"4a0af513ef8b8f198d01079a9b2a482b663b3537c274221f6c30ce16a03228eb"}