{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XOIOFEATRJDPBPOUW3ES2RDJVC","short_pith_number":"pith:XOIOFEAT","canonical_record":{"source":{"id":"2607.14816","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-16T10:35:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1f4eee5fa23fcfcd1cf70ae8a6927c1b5705a150922ca2e61f03e62523f2d5f7","abstract_canon_sha256":"7563d39b7765b04b4af1d6d2f6ba46341bea75e65f73d157d7672c7c8112b836"},"schema_version":"1.0"},"canonical_sha256":"bb90e290138a46f0bdd4b6c92d4469a8a16b37fdf7e46afbca4549fd1c05167f","source":{"kind":"arxiv","id":"2607.14816","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14816","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14816v1","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14816","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"pith_short_12","alias_value":"XOIOFEATRJDP","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"pith_short_16","alias_value":"XOIOFEATRJDPBPOU","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"pith_short_8","alias_value":"XOIOFEAT","created_at":"2026-07-17T01:21:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XOIOFEATRJDPBPOUW3ES2RDJVC","target":"record","payload":{"canonical_record":{"source":{"id":"2607.14816","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-16T10:35:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1f4eee5fa23fcfcd1cf70ae8a6927c1b5705a150922ca2e61f03e62523f2d5f7","abstract_canon_sha256":"7563d39b7765b04b4af1d6d2f6ba46341bea75e65f73d157d7672c7c8112b836"},"schema_version":"1.0"},"canonical_sha256":"bb90e290138a46f0bdd4b6c92d4469a8a16b37fdf7e46afbca4549fd1c05167f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-17T01:21:32.720738Z","signature_b64":"NP4VdTwAvXG2pXO8va69bIIZQphqCytQqh3MFcnd0e8eoiqN7jNZPO3mNAmtSCuXfimLyr87514RkWQvkvWpBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb90e290138a46f0bdd4b6c92d4469a8a16b37fdf7e46afbca4549fd1c05167f","last_reissued_at":"2026-07-17T01:21:32.719941Z","signature_status":"signed_v1","first_computed_at":"2026-07-17T01:21:32.719941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.14816","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-17T01:21:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5IoltVd2/hHQqH2szMOLIP9VuMpOqcTD5kE31ia5pcjsdJaWnBESiasrDYVlWwofciXYRVWymcFP8+rrOANCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T23:19:33.160330Z"},"content_sha256":"6609cd5d954f8a6f6abf8c6528aad23c1ccc0c7c8fc8188398de3cfc0c8ea378","schema_version":"1.0","event_id":"sha256:6609cd5d954f8a6f6abf8c6528aad23c1ccc0c7c8fc8188398de3cfc0c8ea378"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XOIOFEATRJDPBPOUW3ES2RDJVC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Alessandro Midolo, Antonio Mastropaolo, Bowen Xu, Camilo Escobar-Vel\\'asquez, Mario Linares-V\\'asquez, Massimiliano Di Penta, Saima Afrin, Weiyuan Ding","submitted_at":"2026-07-16T10:35:25Z","abstract_excerpt":"Large Language Models (LLMs) perform differently on identical programming tasks when prompted in different natural languages, a phenomenon known as language bias. While this behavior has been widely studied for general text generation, its impact on code generation quality and programming conventions remains largely unexplored. We investigate how the language used to describe programming tasks affects the source code generated by GPT-4o mini, DeepSeek, and Claude. Our study comprises 460 coding tasks spanning Python (230) and Java (230). We translate and manually curate the original English pr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14816","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.14816/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-17T01:21:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4itTwioCqYMQuHmZNQAi/dg8P2yLxIC1tBWyGGcsHRLm0cCnkWKNOdJEV7XgudoLLVzbpp4Aj0anlfzbtPugDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-02T23:19:33.160816Z"},"content_sha256":"67368309bd9386325034c5b8c9faa1a78c8a8b0f592732bf6d1935290021a879","schema_version":"1.0","event_id":"sha256:67368309bd9386325034c5b8c9faa1a78c8a8b0f592732bf6d1935290021a879"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XOIOFEATRJDPBPOUW3ES2RDJVC/bundle.json","state_url":"https://pith.science/pith/XOIOFEATRJDPBPOUW3ES2RDJVC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XOIOFEATRJDPBPOUW3ES2RDJVC/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-02T23:19:33Z","links":{"resolver":"https://pith.science/pith/XOIOFEATRJDPBPOUW3ES2RDJVC","bundle":"https://pith.science/pith/XOIOFEATRJDPBPOUW3ES2RDJVC/bundle.json","state":"https://pith.science/pith/XOIOFEATRJDPBPOUW3ES2RDJVC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XOIOFEATRJDPBPOUW3ES2RDJVC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XOIOFEATRJDPBPOUW3ES2RDJVC","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":"7563d39b7765b04b4af1d6d2f6ba46341bea75e65f73d157d7672c7c8112b836","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-16T10:35:25Z","title_canon_sha256":"1f4eee5fa23fcfcd1cf70ae8a6927c1b5705a150922ca2e61f03e62523f2d5f7"},"schema_version":"1.0","source":{"id":"2607.14816","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14816","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14816v1","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14816","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"pith_short_12","alias_value":"XOIOFEATRJDP","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"pith_short_16","alias_value":"XOIOFEATRJDPBPOU","created_at":"2026-07-17T01:21:32Z"},{"alias_kind":"pith_short_8","alias_value":"XOIOFEAT","created_at":"2026-07-17T01:21:32Z"}],"graph_snapshots":[{"event_id":"sha256:67368309bd9386325034c5b8c9faa1a78c8a8b0f592732bf6d1935290021a879","target":"graph","created_at":"2026-07-17T01:21:32Z","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/2607.14816/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) perform differently on identical programming tasks when prompted in different natural languages, a phenomenon known as language bias. While this behavior has been widely studied for general text generation, its impact on code generation quality and programming conventions remains largely unexplored. We investigate how the language used to describe programming tasks affects the source code generated by GPT-4o mini, DeepSeek, and Claude. Our study comprises 460 coding tasks spanning Python (230) and Java (230). We translate and manually curate the original English pr","authors_text":"Alessandro Midolo, Antonio Mastropaolo, Bowen Xu, Camilo Escobar-Vel\\'asquez, Mario Linares-V\\'asquez, Massimiliano Di Penta, Saima Afrin, Weiyuan Ding","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-16T10:35:25Z","title":"Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14816","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":"sha256:6609cd5d954f8a6f6abf8c6528aad23c1ccc0c7c8fc8188398de3cfc0c8ea378","target":"record","created_at":"2026-07-17T01:21:32Z","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":"7563d39b7765b04b4af1d6d2f6ba46341bea75e65f73d157d7672c7c8112b836","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-16T10:35:25Z","title_canon_sha256":"1f4eee5fa23fcfcd1cf70ae8a6927c1b5705a150922ca2e61f03e62523f2d5f7"},"schema_version":"1.0","source":{"id":"2607.14816","kind":"arxiv","version":1}},"canonical_sha256":"bb90e290138a46f0bdd4b6c92d4469a8a16b37fdf7e46afbca4549fd1c05167f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bb90e290138a46f0bdd4b6c92d4469a8a16b37fdf7e46afbca4549fd1c05167f","first_computed_at":"2026-07-17T01:21:32.719941Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T01:21:32.719941Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NP4VdTwAvXG2pXO8va69bIIZQphqCytQqh3MFcnd0e8eoiqN7jNZPO3mNAmtSCuXfimLyr87514RkWQvkvWpBg==","signature_status":"signed_v1","signed_at":"2026-07-17T01:21:32.720738Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.14816","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6609cd5d954f8a6f6abf8c6528aad23c1ccc0c7c8fc8188398de3cfc0c8ea378","sha256:67368309bd9386325034c5b8c9faa1a78c8a8b0f592732bf6d1935290021a879"],"state_sha256":"8b9cae96db055555eb510d5bdc4a2604d9b4e0a6cca45c05ac5ab0c98410861d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DmugoGB52hNXkg5UMBqmS6pA4Ymq7WMrJm+LAnhLNGAVn1o+FnPspxIoipLPKQFdmATrjopvwVLtv0FnBS14Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-02T23:19:33.164528Z","bundle_sha256":"179de0bfbc76dfcd809cb4859786c14540b772f2141ec32ddd0b223bbf4ef11b"}}