{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ABMWUSMFGZ6UH7ZOQU7D4ERH5N","short_pith_number":"pith:ABMWUSMF","canonical_record":{"source":{"id":"2210.14699","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-10-26T13:28:14Z","cross_cats_sorted":["cs.CL","cs.PL"],"title_canon_sha256":"6c0afd7b2f9cece5e736b8d6b79dcb64b4b9c1cbf4b1494b3939367314060147","abstract_canon_sha256":"0ee7b0042566f3cf4bee2c88e146b30c0c563b7222f2d3215e1a81ac66919644"},"schema_version":"1.0"},"canonical_sha256":"00596a4985367d43ff2e853e3e1227eb5c0a2c323cca16686516eb19c79a0dfb","source":{"kind":"arxiv","id":"2210.14699","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14699","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14699v3","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14699","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"ABMWUSMFGZ6U","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"ABMWUSMFGZ6UH7ZO","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"ABMWUSMF","created_at":"2026-07-05T12:05:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ABMWUSMFGZ6UH7ZOQU7D4ERH5N","target":"record","payload":{"canonical_record":{"source":{"id":"2210.14699","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-10-26T13:28:14Z","cross_cats_sorted":["cs.CL","cs.PL"],"title_canon_sha256":"6c0afd7b2f9cece5e736b8d6b79dcb64b4b9c1cbf4b1494b3939367314060147","abstract_canon_sha256":"0ee7b0042566f3cf4bee2c88e146b30c0c563b7222f2d3215e1a81ac66919644"},"schema_version":"1.0"},"canonical_sha256":"00596a4985367d43ff2e853e3e1227eb5c0a2c323cca16686516eb19c79a0dfb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:56.183141Z","signature_b64":"9ibQCqXO5BFoiX4o5TiSZrfJLT9GpVlgkZh7VK/mT7lGmSNDSFFXqQHh6Ss3Q11kDSLEvTDIsjuu6Ivz0GYvBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00596a4985367d43ff2e853e3e1227eb5c0a2c323cca16686516eb19c79a0dfb","last_reissued_at":"2026-07-05T12:05:56.182640Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:56.182640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.14699","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Kum+Ij8i3shTotxBgLYhep1fyVDAvWqv46AZeMKXHSNfLuzK2T2pwFsK7SWD2324c7trG/gMJGv5VHEuq8LDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T23:52:32.991277Z"},"content_sha256":"2f3e8d2baa9a40f8416488de0d48cb9604492802b372ee9b505dc7eae16931d9","schema_version":"1.0","event_id":"sha256:2f3e8d2baa9a40f8416488de0d48cb9604492802b372ee9b505dc7eae16931d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ABMWUSMFGZ6UH7ZOQU7D4ERH5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.PL"],"primary_cat":"cs.SE","authors_text":"Benoit Combemale, Djamel Eddine Khelladi, Jean-Baptiste D\\\"oderlein, Mathieu Acher, Nguessan Hermann Kouadio","submitted_at":"2022-10-26T13:28:14Z","abstract_excerpt":"Language models are promising solutions for tackling increasing complex problems. In software engineering, they recently gained attention in code assistants, which generate programs from a natural language task description (prompt). They have the potential to save time and effort but remain poorly understood, limiting their optimal use. In this article, we investigate the impact of input variations on two configurations of a language model, focusing on parameters such as task description, surrounding context, model creativity, and the number of generated solutions. We design specific operators"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14699","kind":"arxiv","version":3},"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/2210.14699/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":"2026-07-05T12:05:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AoF+BE/68BB6iz4GhqyQHYeowNN66Gf2rWuc7Zc2yIhhxIGGCLzXbWnNFMNJEN7THNIZ5N/+brNwsjjZSCRaCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T23:52:32.991654Z"},"content_sha256":"15d9c4d6e61c0ae2e939fbdc441f680786a40f77d974255d452147cea940837d","schema_version":"1.0","event_id":"sha256:15d9c4d6e61c0ae2e939fbdc441f680786a40f77d974255d452147cea940837d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ABMWUSMFGZ6UH7ZOQU7D4ERH5N/bundle.json","state_url":"https://pith.science/pith/ABMWUSMFGZ6UH7ZOQU7D4ERH5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ABMWUSMFGZ6UH7ZOQU7D4ERH5N/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":"2026-08-18T23:52:32Z","links":{"resolver":"https://pith.science/pith/ABMWUSMFGZ6UH7ZOQU7D4ERH5N","bundle":"https://pith.science/pith/ABMWUSMFGZ6UH7ZOQU7D4ERH5N/bundle.json","state":"https://pith.science/pith/ABMWUSMFGZ6UH7ZOQU7D4ERH5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ABMWUSMFGZ6UH7ZOQU7D4ERH5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ABMWUSMFGZ6UH7ZOQU7D4ERH5N","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":"0ee7b0042566f3cf4bee2c88e146b30c0c563b7222f2d3215e1a81ac66919644","cross_cats_sorted":["cs.CL","cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-10-26T13:28:14Z","title_canon_sha256":"6c0afd7b2f9cece5e736b8d6b79dcb64b4b9c1cbf4b1494b3939367314060147"},"schema_version":"1.0","source":{"id":"2210.14699","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.14699","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"arxiv_version","alias_value":"2210.14699v3","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.14699","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"pith_short_12","alias_value":"ABMWUSMFGZ6U","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"pith_short_16","alias_value":"ABMWUSMFGZ6UH7ZO","created_at":"2026-07-05T12:05:56Z"},{"alias_kind":"pith_short_8","alias_value":"ABMWUSMF","created_at":"2026-07-05T12:05:56Z"}],"graph_snapshots":[{"event_id":"sha256:15d9c4d6e61c0ae2e939fbdc441f680786a40f77d974255d452147cea940837d","target":"graph","created_at":"2026-07-05T12:05:56Z","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/2210.14699/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language models are promising solutions for tackling increasing complex problems. In software engineering, they recently gained attention in code assistants, which generate programs from a natural language task description (prompt). They have the potential to save time and effort but remain poorly understood, limiting their optimal use. In this article, we investigate the impact of input variations on two configurations of a language model, focusing on parameters such as task description, surrounding context, model creativity, and the number of generated solutions. We design specific operators","authors_text":"Benoit Combemale, Djamel Eddine Khelladi, Jean-Baptiste D\\\"oderlein, Mathieu Acher, Nguessan Hermann Kouadio","cross_cats":["cs.CL","cs.PL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-10-26T13:28:14Z","title":"Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.14699","kind":"arxiv","version":3},"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":"sha256:2f3e8d2baa9a40f8416488de0d48cb9604492802b372ee9b505dc7eae16931d9","target":"record","created_at":"2026-07-05T12:05:56Z","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":"0ee7b0042566f3cf4bee2c88e146b30c0c563b7222f2d3215e1a81ac66919644","cross_cats_sorted":["cs.CL","cs.PL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2022-10-26T13:28:14Z","title_canon_sha256":"6c0afd7b2f9cece5e736b8d6b79dcb64b4b9c1cbf4b1494b3939367314060147"},"schema_version":"1.0","source":{"id":"2210.14699","kind":"arxiv","version":3}},"canonical_sha256":"00596a4985367d43ff2e853e3e1227eb5c0a2c323cca16686516eb19c79a0dfb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"00596a4985367d43ff2e853e3e1227eb5c0a2c323cca16686516eb19c79a0dfb","first_computed_at":"2026-07-05T12:05:56.182640Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:56.182640Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9ibQCqXO5BFoiX4o5TiSZrfJLT9GpVlgkZh7VK/mT7lGmSNDSFFXqQHh6Ss3Q11kDSLEvTDIsjuu6Ivz0GYvBw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:56.183141Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.14699","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2f3e8d2baa9a40f8416488de0d48cb9604492802b372ee9b505dc7eae16931d9","sha256:15d9c4d6e61c0ae2e939fbdc441f680786a40f77d974255d452147cea940837d"],"state_sha256":"967e7545edea406e8eb7bccd560e029c89543584fd5ad8683f73a44def573faf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1/8el0W3k4iiTs7ShWLS6JjQGuP0rJu1DLrR5uI63P0fXurO027vnQ0Ah1TShBChQHgiTWVepLrIoL+RxmHyCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T23:52:32.995487Z","bundle_sha256":"636d33bfe8eef085a967f44d215b325f39977b97db7497eb72c3b8ea21e9bc90"}}