{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WALGMTB2FAXON6WKT4L3I5SN6Z","short_pith_number":"pith:WALGMTB2","canonical_record":{"source":{"id":"2002.05442","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-02-13T11:02:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"428670defe0e144097278af05448af3db0f1d5dac923dfdfba86ecdb4aef8739","abstract_canon_sha256":"f34fb246ef2d546bd0ed69ed4ec21ddb9017308e4487dca5abc854b70924de9e"},"schema_version":"1.0"},"canonical_sha256":"b016664c3a282ee6faca9f17b4764df6516fef03727b00d667dc84fee3e20560","source":{"kind":"arxiv","id":"2002.05442","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.05442","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"arxiv_version","alias_value":"2002.05442v1","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.05442","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"pith_short_12","alias_value":"WALGMTB2FAXO","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"pith_short_16","alias_value":"WALGMTB2FAXON6WK","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"pith_short_8","alias_value":"WALGMTB2","created_at":"2026-07-05T01:09:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WALGMTB2FAXON6WKT4L3I5SN6Z","target":"record","payload":{"canonical_record":{"source":{"id":"2002.05442","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-02-13T11:02:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"428670defe0e144097278af05448af3db0f1d5dac923dfdfba86ecdb4aef8739","abstract_canon_sha256":"f34fb246ef2d546bd0ed69ed4ec21ddb9017308e4487dca5abc854b70924de9e"},"schema_version":"1.0"},"canonical_sha256":"b016664c3a282ee6faca9f17b4764df6516fef03727b00d667dc84fee3e20560","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:09:57.905372Z","signature_b64":"u54YmBCrP6m7xPbBrS9+I9wlDvAtubGAFRd0c840Eip5QKIQhYXuVOKUp/lIXw9ISjU2IVFHnFC7jU64qz3kBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b016664c3a282ee6faca9f17b4764df6516fef03727b00d667dc84fee3e20560","last_reissued_at":"2026-07-05T01:09:57.904799Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:09:57.904799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.05442","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":"2026-07-05T01:09:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qVXVhZKVm6sH/UpGouGcDiwFfSzZYyxBhfSs2m5fZ4MfoLuQD3dfiHi/M67WyDHgHEqTJvrQ7NADmFcpIGVBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T13:36:20.175997Z"},"content_sha256":"9fd3bdaee7dc462a4de5b3581ebf1d29930cae79094f3a9200cbfd4fcfe0b1b4","schema_version":"1.0","event_id":"sha256:9fd3bdaee7dc462a4de5b3581ebf1d29930cae79094f3a9200cbfd4fcfe0b1b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WALGMTB2FAXON6WKT4L3I5SN6Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.SE","authors_text":"Hao Chen, M. Ali Babar, Triet H. M. Le","submitted_at":"2020-02-13T11:02:51Z","abstract_excerpt":"Deep Learning (DL) techniques for Natural Language Processing have been evolving remarkably fast. Recently, the DL advances in language modeling, machine translation and paragraph understanding are so prominent that the potential of DL in Software Engineering cannot be overlooked, especially in the field of program learning. To facilitate further research and applications of DL in this field, we provide a comprehensive review to categorize and investigate existing DL methods for source code modeling and generation. To address the limitations of the traditional source code models, we formulate "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.05442","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/2002.05442/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":"2026-07-05T01:09:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o30Sy5DFmJlxKzgwRmA42Zp93s2Nee/zCw7TCfnROfQdla9HcIAGpe6klXZiG9sCOXSRTyimjZ26ywbofRXdDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-13T13:36:20.176393Z"},"content_sha256":"a9deb1e50ff67ca8d6c28f3e64e344a9f9daf4e3431609c7e80b1ff7071a11b2","schema_version":"1.0","event_id":"sha256:a9deb1e50ff67ca8d6c28f3e64e344a9f9daf4e3431609c7e80b1ff7071a11b2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WALGMTB2FAXON6WKT4L3I5SN6Z/bundle.json","state_url":"https://pith.science/pith/WALGMTB2FAXON6WKT4L3I5SN6Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WALGMTB2FAXON6WKT4L3I5SN6Z/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":"2026-07-13T13:36:20Z","links":{"resolver":"https://pith.science/pith/WALGMTB2FAXON6WKT4L3I5SN6Z","bundle":"https://pith.science/pith/WALGMTB2FAXON6WKT4L3I5SN6Z/bundle.json","state":"https://pith.science/pith/WALGMTB2FAXON6WKT4L3I5SN6Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WALGMTB2FAXON6WKT4L3I5SN6Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WALGMTB2FAXON6WKT4L3I5SN6Z","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":"f34fb246ef2d546bd0ed69ed4ec21ddb9017308e4487dca5abc854b70924de9e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-02-13T11:02:51Z","title_canon_sha256":"428670defe0e144097278af05448af3db0f1d5dac923dfdfba86ecdb4aef8739"},"schema_version":"1.0","source":{"id":"2002.05442","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.05442","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"arxiv_version","alias_value":"2002.05442v1","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.05442","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"pith_short_12","alias_value":"WALGMTB2FAXO","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"pith_short_16","alias_value":"WALGMTB2FAXON6WK","created_at":"2026-07-05T01:09:57Z"},{"alias_kind":"pith_short_8","alias_value":"WALGMTB2","created_at":"2026-07-05T01:09:57Z"}],"graph_snapshots":[{"event_id":"sha256:a9deb1e50ff67ca8d6c28f3e64e344a9f9daf4e3431609c7e80b1ff7071a11b2","target":"graph","created_at":"2026-07-05T01:09:57Z","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/2002.05442/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep Learning (DL) techniques for Natural Language Processing have been evolving remarkably fast. Recently, the DL advances in language modeling, machine translation and paragraph understanding are so prominent that the potential of DL in Software Engineering cannot be overlooked, especially in the field of program learning. To facilitate further research and applications of DL in this field, we provide a comprehensive review to categorize and investigate existing DL methods for source code modeling and generation. To address the limitations of the traditional source code models, we formulate ","authors_text":"Hao Chen, M. Ali Babar, Triet H. M. Le","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-02-13T11:02:51Z","title":"Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.05442","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":"sha256:9fd3bdaee7dc462a4de5b3581ebf1d29930cae79094f3a9200cbfd4fcfe0b1b4","target":"record","created_at":"2026-07-05T01:09:57Z","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":"f34fb246ef2d546bd0ed69ed4ec21ddb9017308e4487dca5abc854b70924de9e","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2020-02-13T11:02:51Z","title_canon_sha256":"428670defe0e144097278af05448af3db0f1d5dac923dfdfba86ecdb4aef8739"},"schema_version":"1.0","source":{"id":"2002.05442","kind":"arxiv","version":1}},"canonical_sha256":"b016664c3a282ee6faca9f17b4764df6516fef03727b00d667dc84fee3e20560","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b016664c3a282ee6faca9f17b4764df6516fef03727b00d667dc84fee3e20560","first_computed_at":"2026-07-05T01:09:57.904799Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:09:57.904799Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u54YmBCrP6m7xPbBrS9+I9wlDvAtubGAFRd0c840Eip5QKIQhYXuVOKUp/lIXw9ISjU2IVFHnFC7jU64qz3kBA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:09:57.905372Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.05442","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9fd3bdaee7dc462a4de5b3581ebf1d29930cae79094f3a9200cbfd4fcfe0b1b4","sha256:a9deb1e50ff67ca8d6c28f3e64e344a9f9daf4e3431609c7e80b1ff7071a11b2"],"state_sha256":"0fa0c7065fa5a484bbd11f8197240eb6f0b124140a509529b3a57883bfde8db9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yjiNEeyTFRvXvhZCqQ8pcYNtGfgczQ8voKzox7+fzmKh/WDp7JfOQVL4mL8ru6gqFQBs2iLSq2s3+76jT1ScDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-13T13:36:20.178555Z","bundle_sha256":"63da8a83f444907095b5a3d8161ac9ed69990ba1e4c160124c984c1d1a4e8966"}}