{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:KAAPTSFNT7U7US23ONOJU3OOXS","short_pith_number":"pith:KAAPTSFN","canonical_record":{"source":{"id":"2501.05062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-01-09T08:34:34Z","cross_cats_sorted":[],"title_canon_sha256":"8136890a21ed2ea95cde79384e50e9dfe8994fede66219dd647ed300b21dde96","abstract_canon_sha256":"0e6522665daa2a1badac909ddb557716eaaae253aafca0a14da6eca24a15345d"},"schema_version":"1.0"},"canonical_sha256":"5000f9c8ad9fe9fa4b5b735c9a6dcebc9df3174874370bbbc24513fbefca33c6","source":{"kind":"arxiv","id":"2501.05062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05062","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05062v1","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05062","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"pith_short_12","alias_value":"KAAPTSFNT7U7","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"pith_short_16","alias_value":"KAAPTSFNT7U7US23","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"pith_short_8","alias_value":"KAAPTSFN","created_at":"2026-07-05T09:59:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:KAAPTSFNT7U7US23ONOJU3OOXS","target":"record","payload":{"canonical_record":{"source":{"id":"2501.05062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-01-09T08:34:34Z","cross_cats_sorted":[],"title_canon_sha256":"8136890a21ed2ea95cde79384e50e9dfe8994fede66219dd647ed300b21dde96","abstract_canon_sha256":"0e6522665daa2a1badac909ddb557716eaaae253aafca0a14da6eca24a15345d"},"schema_version":"1.0"},"canonical_sha256":"5000f9c8ad9fe9fa4b5b735c9a6dcebc9df3174874370bbbc24513fbefca33c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:59:03.772184Z","signature_b64":"CHU/iDieawEn1e9k+pcvTc5mKiqYgQYQd/0lTN5CXKa56xtV+ldB9CY0mm1z/GrSddW6cm+qCyQ4S5oqEFRaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5000f9c8ad9fe9fa4b5b735c9a6dcebc9df3174874370bbbc24513fbefca33c6","last_reissued_at":"2026-07-05T09:59:03.771739Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:59:03.771739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.05062","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":"2026-07-05T09:59:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dUrqmvLkTKeLaeKPOdg06NoKgQ5ZxZXrof8jAqik3pM6bVRRpres1v4oGO7qB7vZ49w+IJ7bRz2/oZwZKSJwBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T12:35:46.338858Z"},"content_sha256":"fa1efb25c626f5af74d50cb3b9fc170d26508b690db3c0065653ffb35a7f631e","schema_version":"1.0","event_id":"sha256:fa1efb25c626f5af74d50cb3b9fc170d26508b690db3c0065653ffb35a7f631e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:KAAPTSFNT7U7US23ONOJU3OOXS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Gabriele Bavota, Luca Pascarella, Matteo Ciniselli","submitted_at":"2025-01-09T08:34:34Z","abstract_excerpt":"Code completion aims at speeding up code writing by recommending to developers the next tokens they are likely to type. Deep Learning (DL) models pushed the boundaries of code completion by redefining what these coding assistants can do: We moved from predicting few code tokens to automatically generating entire functions. One important factor impacting the performance of DL-based code completion techniques is the context provided as input. With \"context\" we refer to what the model knows about the code to complete. In a simple scenario, the DL model might be fed with a partially implemented fu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05062","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/2501.05062/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":"2026-07-05T09:59:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kd4G25YvBXXCF4huyCjeCfPhAMj45hlBUVhgvchADpssvTkKoPq//g7HL9TEgIFQosZV1v9WKeHwNnh5g4R8Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-11T12:35:46.339238Z"},"content_sha256":"ee0a83a61d027a1702a46a51150326324ed2862eb01ec3d7d716a999875ba9b4","schema_version":"1.0","event_id":"sha256:ee0a83a61d027a1702a46a51150326324ed2862eb01ec3d7d716a999875ba9b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KAAPTSFNT7U7US23ONOJU3OOXS/bundle.json","state_url":"https://pith.science/pith/KAAPTSFNT7U7US23ONOJU3OOXS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KAAPTSFNT7U7US23ONOJU3OOXS/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":"2026-07-11T12:35:46Z","links":{"resolver":"https://pith.science/pith/KAAPTSFNT7U7US23ONOJU3OOXS","bundle":"https://pith.science/pith/KAAPTSFNT7U7US23ONOJU3OOXS/bundle.json","state":"https://pith.science/pith/KAAPTSFNT7U7US23ONOJU3OOXS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KAAPTSFNT7U7US23ONOJU3OOXS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KAAPTSFNT7U7US23ONOJU3OOXS","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":"0e6522665daa2a1badac909ddb557716eaaae253aafca0a14da6eca24a15345d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-01-09T08:34:34Z","title_canon_sha256":"8136890a21ed2ea95cde79384e50e9dfe8994fede66219dd647ed300b21dde96"},"schema_version":"1.0","source":{"id":"2501.05062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05062","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05062v1","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05062","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"pith_short_12","alias_value":"KAAPTSFNT7U7","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"pith_short_16","alias_value":"KAAPTSFNT7U7US23","created_at":"2026-07-05T09:59:03Z"},{"alias_kind":"pith_short_8","alias_value":"KAAPTSFN","created_at":"2026-07-05T09:59:03Z"}],"graph_snapshots":[{"event_id":"sha256:ee0a83a61d027a1702a46a51150326324ed2862eb01ec3d7d716a999875ba9b4","target":"graph","created_at":"2026-07-05T09:59:03Z","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/2501.05062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code completion aims at speeding up code writing by recommending to developers the next tokens they are likely to type. Deep Learning (DL) models pushed the boundaries of code completion by redefining what these coding assistants can do: We moved from predicting few code tokens to automatically generating entire functions. One important factor impacting the performance of DL-based code completion techniques is the context provided as input. With \"context\" we refer to what the model knows about the code to complete. In a simple scenario, the DL model might be fed with a partially implemented fu","authors_text":"Gabriele Bavota, Luca Pascarella, Matteo Ciniselli","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-01-09T08:34:34Z","title":"Deep Learning-based Code Completion: On the Impact on Performance of Contextual Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05062","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:fa1efb25c626f5af74d50cb3b9fc170d26508b690db3c0065653ffb35a7f631e","target":"record","created_at":"2026-07-05T09:59:03Z","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":"0e6522665daa2a1badac909ddb557716eaaae253aafca0a14da6eca24a15345d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2025-01-09T08:34:34Z","title_canon_sha256":"8136890a21ed2ea95cde79384e50e9dfe8994fede66219dd647ed300b21dde96"},"schema_version":"1.0","source":{"id":"2501.05062","kind":"arxiv","version":1}},"canonical_sha256":"5000f9c8ad9fe9fa4b5b735c9a6dcebc9df3174874370bbbc24513fbefca33c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5000f9c8ad9fe9fa4b5b735c9a6dcebc9df3174874370bbbc24513fbefca33c6","first_computed_at":"2026-07-05T09:59:03.771739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:03.771739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CHU/iDieawEn1e9k+pcvTc5mKiqYgQYQd/0lTN5CXKa56xtV+ldB9CY0mm1z/GrSddW6cm+qCyQ4S5oqEFRaAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:03.772184Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.05062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fa1efb25c626f5af74d50cb3b9fc170d26508b690db3c0065653ffb35a7f631e","sha256:ee0a83a61d027a1702a46a51150326324ed2862eb01ec3d7d716a999875ba9b4"],"state_sha256":"3da28afd512c8094a2559b3cfc1e0f92cfd8a29831547c93921a88fb1c9d1d84"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gXtA8y2cJsaMh50U2OGNQhRkXg9zrZFEUb5ObT3zw4T008Eg+sUYztgQC4mY7FmG4acxmnmL5d/RwYr78ZFyBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-11T12:35:46.341700Z","bundle_sha256":"fbe5060662d4cf3a1265635c919d479796ba909cc4aeef44a67cdb04c4144957"}}