{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XAIOXLQEYU4NLLJUSYOZAL33KC","short_pith_number":"pith:XAIOXLQE","canonical_record":{"source":{"id":"2403.15149","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-03-22T12:05:18Z","cross_cats_sorted":[],"title_canon_sha256":"399953dd88a7d2c50f07d11eefbbaa77c779824c9855ec468a44cc3d9e67a4f7","abstract_canon_sha256":"212d325a8519cbdb8d31ef5be90a0852b137c5b2498172c9e5f6129720605c3f"},"schema_version":"1.0"},"canonical_sha256":"b810ebae04c538d5ad34961d902f7b5083c5bdfe30d121a2a158a8df6cc04f88","source":{"kind":"arxiv","id":"2403.15149","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15149","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15149v1","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15149","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"pith_short_12","alias_value":"XAIOXLQEYU4N","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"pith_short_16","alias_value":"XAIOXLQEYU4NLLJU","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"pith_short_8","alias_value":"XAIOXLQE","created_at":"2026-07-05T07:59:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XAIOXLQEYU4NLLJUSYOZAL33KC","target":"record","payload":{"canonical_record":{"source":{"id":"2403.15149","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-03-22T12:05:18Z","cross_cats_sorted":[],"title_canon_sha256":"399953dd88a7d2c50f07d11eefbbaa77c779824c9855ec468a44cc3d9e67a4f7","abstract_canon_sha256":"212d325a8519cbdb8d31ef5be90a0852b137c5b2498172c9e5f6129720605c3f"},"schema_version":"1.0"},"canonical_sha256":"b810ebae04c538d5ad34961d902f7b5083c5bdfe30d121a2a158a8df6cc04f88","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:59:31.037730Z","signature_b64":"CmOAp+52W6RbW5o4Gypv94KH1p09OkwQGBTNMTe4hcRE1/gtfzWpab/AQ4YFh+qrP9yDWYQp/w9RiL9O2Sx2AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b810ebae04c538d5ad34961d902f7b5083c5bdfe30d121a2a158a8df6cc04f88","last_reissued_at":"2026-07-05T07:59:31.037280Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:59:31.037280Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.15149","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":"2026-07-05T07:59:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xdEMn6TPnBFmroduOLDXfOCwwdAnQInG2NZSsXjnrv2xwOEaSLAL3m+S+xMu8oWf4AUlu1tWb6sL2Xo4I6loDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:27:40.139297Z"},"content_sha256":"eda4a0f88f4884182802f7b22730b65b1e4b0f93de65fd9baef63855c315de55","schema_version":"1.0","event_id":"sha256:eda4a0f88f4884182802f7b22730b65b1e4b0f93de65fd9baef63855c315de55"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XAIOXLQEYU4NLLJUSYOZAL33KC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Alberto Martin-Lopez, Gabriele Bavota, Matteo Ciniselli","submitted_at":"2024-03-22T12:05:18Z","abstract_excerpt":"Code completion is a key feature of Integrated Development Environments (IDEs), aimed at predicting the next tokens a developer is likely to write, helping them write code faster and with less effort. Modern code completion approaches are often powered by deep learning (DL) models. However, the swift evolution of programming languages poses a critical challenge to the performance of DL-based code completion models: Can these models generalize across different language versions? This paper delves into such a question. In particular, we assess the capabilities of a state-of-the-art model, CodeT5"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15149","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/2403.15149/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":"2026-07-05T07:59:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8r199Tx5zpjPtneKjbgO/oM1gvfoGkrB77jfD/SemYv9ZRSMlN/WAGLQGDgF65BQ7RR13C3JOJsqjRlqdLkRCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:27:40.139865Z"},"content_sha256":"9a2f89253cba9b00e90232878710f197b2ed48c2419045ddd0e4c1bdd3be9bca","schema_version":"1.0","event_id":"sha256:9a2f89253cba9b00e90232878710f197b2ed48c2419045ddd0e4c1bdd3be9bca"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XAIOXLQEYU4NLLJUSYOZAL33KC/bundle.json","state_url":"https://pith.science/pith/XAIOXLQEYU4NLLJUSYOZAL33KC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XAIOXLQEYU4NLLJUSYOZAL33KC/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":"2026-08-19T14:27:40Z","links":{"resolver":"https://pith.science/pith/XAIOXLQEYU4NLLJUSYOZAL33KC","bundle":"https://pith.science/pith/XAIOXLQEYU4NLLJUSYOZAL33KC/bundle.json","state":"https://pith.science/pith/XAIOXLQEYU4NLLJUSYOZAL33KC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XAIOXLQEYU4NLLJUSYOZAL33KC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XAIOXLQEYU4NLLJUSYOZAL33KC","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":"212d325a8519cbdb8d31ef5be90a0852b137c5b2498172c9e5f6129720605c3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-03-22T12:05:18Z","title_canon_sha256":"399953dd88a7d2c50f07d11eefbbaa77c779824c9855ec468a44cc3d9e67a4f7"},"schema_version":"1.0","source":{"id":"2403.15149","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.15149","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"arxiv_version","alias_value":"2403.15149v1","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.15149","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"pith_short_12","alias_value":"XAIOXLQEYU4N","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"pith_short_16","alias_value":"XAIOXLQEYU4NLLJU","created_at":"2026-07-05T07:59:31Z"},{"alias_kind":"pith_short_8","alias_value":"XAIOXLQE","created_at":"2026-07-05T07:59:31Z"}],"graph_snapshots":[{"event_id":"sha256:9a2f89253cba9b00e90232878710f197b2ed48c2419045ddd0e4c1bdd3be9bca","target":"graph","created_at":"2026-07-05T07:59:31Z","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/2403.15149/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code completion is a key feature of Integrated Development Environments (IDEs), aimed at predicting the next tokens a developer is likely to write, helping them write code faster and with less effort. Modern code completion approaches are often powered by deep learning (DL) models. However, the swift evolution of programming languages poses a critical challenge to the performance of DL-based code completion models: Can these models generalize across different language versions? This paper delves into such a question. In particular, we assess the capabilities of a state-of-the-art model, CodeT5","authors_text":"Alberto Martin-Lopez, Gabriele Bavota, Matteo Ciniselli","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-03-22T12:05:18Z","title":"On the Generalizability of Deep Learning-based Code Completion Across Programming Language Versions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.15149","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:eda4a0f88f4884182802f7b22730b65b1e4b0f93de65fd9baef63855c315de55","target":"record","created_at":"2026-07-05T07:59:31Z","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":"212d325a8519cbdb8d31ef5be90a0852b137c5b2498172c9e5f6129720605c3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-03-22T12:05:18Z","title_canon_sha256":"399953dd88a7d2c50f07d11eefbbaa77c779824c9855ec468a44cc3d9e67a4f7"},"schema_version":"1.0","source":{"id":"2403.15149","kind":"arxiv","version":1}},"canonical_sha256":"b810ebae04c538d5ad34961d902f7b5083c5bdfe30d121a2a158a8df6cc04f88","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b810ebae04c538d5ad34961d902f7b5083c5bdfe30d121a2a158a8df6cc04f88","first_computed_at":"2026-07-05T07:59:31.037280Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:59:31.037280Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CmOAp+52W6RbW5o4Gypv94KH1p09OkwQGBTNMTe4hcRE1/gtfzWpab/AQ4YFh+qrP9yDWYQp/w9RiL9O2Sx2AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:59:31.037730Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.15149","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eda4a0f88f4884182802f7b22730b65b1e4b0f93de65fd9baef63855c315de55","sha256:9a2f89253cba9b00e90232878710f197b2ed48c2419045ddd0e4c1bdd3be9bca"],"state_sha256":"c4e6f557d2f50a8dfe53a89c698e7e33e38fdc8c579678c9dab22f81042cece5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SD7ONPLXuSrh5SV7Ib1NKAIC8SoGQ2zm567zvSp3pR6QmVBs9CLxOJb1pBBCqFFoMY2M36J2mwhVn9INxI4iCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T14:27:40.144999Z","bundle_sha256":"e86b190c961dc8c37c7fa9510d0a438492ded5b50e7a11b0e2a054d08f5325aa"}}