{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:IZYEM7ZRVEYUYRL5LNVCVDKNVR","short_pith_number":"pith:IZYEM7ZR","canonical_record":{"source":{"id":"2205.11739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2022-05-24T03:14:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1d9874e7fbc94609f771c2c9d038c23e88be82c25563aacb3fb64d946904d24a","abstract_canon_sha256":"9bcd2278215f2ec9bedb2c4591a08d5611c2d9a4af001aef486b001702d6b10f"},"schema_version":"1.0"},"canonical_sha256":"4670467f31a9314c457d5b6a2a8d4dac54371a161f49f525756f06db75573fda","source":{"kind":"arxiv","id":"2205.11739","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11739","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11739v1","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11739","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"pith_short_12","alias_value":"IZYEM7ZRVEYU","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"pith_short_16","alias_value":"IZYEM7ZRVEYUYRL5","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"pith_short_8","alias_value":"IZYEM7ZR","created_at":"2026-07-05T04:26:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:IZYEM7ZRVEYUYRL5LNVCVDKNVR","target":"record","payload":{"canonical_record":{"source":{"id":"2205.11739","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2022-05-24T03:14:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1d9874e7fbc94609f771c2c9d038c23e88be82c25563aacb3fb64d946904d24a","abstract_canon_sha256":"9bcd2278215f2ec9bedb2c4591a08d5611c2d9a4af001aef486b001702d6b10f"},"schema_version":"1.0"},"canonical_sha256":"4670467f31a9314c457d5b6a2a8d4dac54371a161f49f525756f06db75573fda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:26:07.729592Z","signature_b64":"N8Hb6exwXrNnwesbs5As7ykxHGB/auAJ6T31RwrrHZasfrvK4Bh4yyRGm+0/mEGAE+lemaVy8TU/OPelZ9BXAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4670467f31a9314c457d5b6a2a8d4dac54371a161f49f525756f06db75573fda","last_reissued_at":"2026-07-05T04:26:07.729058Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:26:07.729058Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.11739","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":"2026-07-05T04:26:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CpNZb3MKUPb7TGYODJcFawr84PKbZBwSx6UhclfB2vHwPaeU2GjpnS2CL8J2wOTvOK7G5Bj4gLn8PKXegOgnCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T07:42:26.838949Z"},"content_sha256":"9ab6995119a77f7ab990a5ba716825f45e1445e94a485fe694316aea625bc593","schema_version":"1.0","event_id":"sha256:9ab6995119a77f7ab990a5ba716825f45e1445e94a485fe694316aea625bc593"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:IZYEM7ZRVEYUYRL5LNVCVDKNVR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Bin Luo, Changan Niu, Chuanyi Li, Vincent Ng","submitted_at":"2022-05-24T03:14:25Z","abstract_excerpt":"Recent years have seen the successful application of deep learning to software engineering (SE). In particular, the development and use of pre-trained models of source code has enabled state-of-the-art results to be achieved on a wide variety of SE tasks. This paper provides an overview of this rapidly advancing field of research and reflects on future research directions."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11739","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/2205.11739/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":"2026-07-05T04:26:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"76u88AB3JZk3xkeCeehH99RP8v4W03pa2d6+cLT1ubrj3lvB1ipc7T20U8TXkKtGWmRX0k6156OCgbsPxO3eBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-20T07:42:26.839306Z"},"content_sha256":"c65d3721fc60d4b1bb18eb3e141c1dad55c018beed65b8d9155673cf565c06ae","schema_version":"1.0","event_id":"sha256:c65d3721fc60d4b1bb18eb3e141c1dad55c018beed65b8d9155673cf565c06ae"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IZYEM7ZRVEYUYRL5LNVCVDKNVR/bundle.json","state_url":"https://pith.science/pith/IZYEM7ZRVEYUYRL5LNVCVDKNVR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IZYEM7ZRVEYUYRL5LNVCVDKNVR/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":"2026-07-20T07:42:26Z","links":{"resolver":"https://pith.science/pith/IZYEM7ZRVEYUYRL5LNVCVDKNVR","bundle":"https://pith.science/pith/IZYEM7ZRVEYUYRL5LNVCVDKNVR/bundle.json","state":"https://pith.science/pith/IZYEM7ZRVEYUYRL5LNVCVDKNVR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IZYEM7ZRVEYUYRL5LNVCVDKNVR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IZYEM7ZRVEYUYRL5LNVCVDKNVR","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":"9bcd2278215f2ec9bedb2c4591a08d5611c2d9a4af001aef486b001702d6b10f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2022-05-24T03:14:25Z","title_canon_sha256":"1d9874e7fbc94609f771c2c9d038c23e88be82c25563aacb3fb64d946904d24a"},"schema_version":"1.0","source":{"id":"2205.11739","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.11739","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"arxiv_version","alias_value":"2205.11739v1","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.11739","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"pith_short_12","alias_value":"IZYEM7ZRVEYU","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"pith_short_16","alias_value":"IZYEM7ZRVEYUYRL5","created_at":"2026-07-05T04:26:07Z"},{"alias_kind":"pith_short_8","alias_value":"IZYEM7ZR","created_at":"2026-07-05T04:26:07Z"}],"graph_snapshots":[{"event_id":"sha256:c65d3721fc60d4b1bb18eb3e141c1dad55c018beed65b8d9155673cf565c06ae","target":"graph","created_at":"2026-07-05T04:26:07Z","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/2205.11739/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent years have seen the successful application of deep learning to software engineering (SE). In particular, the development and use of pre-trained models of source code has enabled state-of-the-art results to be achieved on a wide variety of SE tasks. This paper provides an overview of this rapidly advancing field of research and reflects on future research directions.","authors_text":"Bin Luo, Changan Niu, Chuanyi Li, Vincent Ng","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2022-05-24T03:14:25Z","title":"Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.11739","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":"sha256:9ab6995119a77f7ab990a5ba716825f45e1445e94a485fe694316aea625bc593","target":"record","created_at":"2026-07-05T04:26:07Z","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":"9bcd2278215f2ec9bedb2c4591a08d5611c2d9a4af001aef486b001702d6b10f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2022-05-24T03:14:25Z","title_canon_sha256":"1d9874e7fbc94609f771c2c9d038c23e88be82c25563aacb3fb64d946904d24a"},"schema_version":"1.0","source":{"id":"2205.11739","kind":"arxiv","version":1}},"canonical_sha256":"4670467f31a9314c457d5b6a2a8d4dac54371a161f49f525756f06db75573fda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4670467f31a9314c457d5b6a2a8d4dac54371a161f49f525756f06db75573fda","first_computed_at":"2026-07-05T04:26:07.729058Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:26:07.729058Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N8Hb6exwXrNnwesbs5As7ykxHGB/auAJ6T31RwrrHZasfrvK4Bh4yyRGm+0/mEGAE+lemaVy8TU/OPelZ9BXAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:26:07.729592Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.11739","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ab6995119a77f7ab990a5ba716825f45e1445e94a485fe694316aea625bc593","sha256:c65d3721fc60d4b1bb18eb3e141c1dad55c018beed65b8d9155673cf565c06ae"],"state_sha256":"f3a15f4f3e3e02854e5127a83db6e6ee61bc40ac07c7a05c96c589fad82b659b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/kMCO9dO4q3+pc2OlDUsBBpSDPblVIESuc+SI0OHjgcM4qE3N8inZ3iTDw9puWxc3345ZI9T8/Yo2bww/LQzCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-20T07:42:26.841309Z","bundle_sha256":"268290d2e4128dbc7d5158c427789021780b443d3a1dbb15a1db2d528f9cbae8"}}