{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:SBQWG7OM6MZXO3FGCXZF4ZWYL6","short_pith_number":"pith:SBQWG7OM","canonical_record":{"source":{"id":"2012.14710","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-29T11:37:43Z","cross_cats_sorted":[],"title_canon_sha256":"c479160a7070b99aaa1f4f1251075ee567a8f17b2add6cc45aaee8f71f1a4d2b","abstract_canon_sha256":"182b49bddc43594d1635e6291c93040f88973a80586bb87ca75e9e86323ab6ac"},"schema_version":"1.0"},"canonical_sha256":"9061637dccf333776ca615f25e66d85fa9bd81034b010cfa76838faf63e6f88b","source":{"kind":"arxiv","id":"2012.14710","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.14710","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"arxiv_version","alias_value":"2012.14710v2","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.14710","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"pith_short_12","alias_value":"SBQWG7OM6MZX","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"pith_short_16","alias_value":"SBQWG7OM6MZXO3FG","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"pith_short_8","alias_value":"SBQWG7OM","created_at":"2026-07-05T02:44:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:SBQWG7OM6MZXO3FGCXZF4ZWYL6","target":"record","payload":{"canonical_record":{"source":{"id":"2012.14710","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-29T11:37:43Z","cross_cats_sorted":[],"title_canon_sha256":"c479160a7070b99aaa1f4f1251075ee567a8f17b2add6cc45aaee8f71f1a4d2b","abstract_canon_sha256":"182b49bddc43594d1635e6291c93040f88973a80586bb87ca75e9e86323ab6ac"},"schema_version":"1.0"},"canonical_sha256":"9061637dccf333776ca615f25e66d85fa9bd81034b010cfa76838faf63e6f88b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:44:53.199907Z","signature_b64":"+A+uJitVX/PsZNNlHg4/BRC3Z0HpZ5U9AitwwEv1xZJnxtuif6/nla68Ab9KOzUJiMsOhgNvQQjPAEvVDTkPDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9061637dccf333776ca615f25e66d85fa9bd81034b010cfa76838faf63e6f88b","last_reissued_at":"2026-07-05T02:44:53.199402Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:44:53.199402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.14710","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:44:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z2GCLodOxps6dSJf66eGr20Mw8V0bxmoVyzWpik3JtpmII5+cG+Xc35VV5Ii3bTuhhaDcOaJ+XZyNhoNrdAoAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:14:41.314088Z"},"content_sha256":"042dcaa6435d035a95c2e60a7793dad29bd8ceb2443ba57c06337636a2953d2d","schema_version":"1.0","event_id":"sha256:042dcaa6435d035a95c2e60a7793dad29bd8ceb2443ba57c06337636a2953d2d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:SBQWG7OM6MZXO3FGCXZF4ZWYL6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Code Summarization with Structure-induced Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Hai Zhao, Hongqiu Wu, Min Zhang","submitted_at":"2020-12-29T11:37:43Z","abstract_excerpt":"Code summarization (CS) is becoming a promising area in recent language understanding, which aims to generate sensible human language automatically for programming language in the format of source code, serving in the most convenience of programmer developing. It is well known that programming languages are highly structured. Thus previous works attempt to apply structure-based traversal (SBT) or non-sequential models like Tree-LSTM and graph neural network (GNN) to learn structural program semantics. However, it is surprising that incorporating SBT into advanced encoder like Transformer inste"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.14710","kind":"arxiv","version":2},"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/2012.14710/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":"2026-07-05T02:44:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2aOB1AUjI8+PosxgYAITXcV6/uhcCqCOSNTC7ACNoJ9vnT1auovJXOW6n/kCp8caluaM7RPRIZq+ZTxbkk9qBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T18:14:41.315289Z"},"content_sha256":"5661000bb78502adf09399da09a064bd44e8a53744563a46f9bd4b46d1136ec6","schema_version":"1.0","event_id":"sha256:5661000bb78502adf09399da09a064bd44e8a53744563a46f9bd4b46d1136ec6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SBQWG7OM6MZXO3FGCXZF4ZWYL6/bundle.json","state_url":"https://pith.science/pith/SBQWG7OM6MZXO3FGCXZF4ZWYL6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SBQWG7OM6MZXO3FGCXZF4ZWYL6/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":"2026-08-18T18:14:41Z","links":{"resolver":"https://pith.science/pith/SBQWG7OM6MZXO3FGCXZF4ZWYL6","bundle":"https://pith.science/pith/SBQWG7OM6MZXO3FGCXZF4ZWYL6/bundle.json","state":"https://pith.science/pith/SBQWG7OM6MZXO3FGCXZF4ZWYL6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SBQWG7OM6MZXO3FGCXZF4ZWYL6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:SBQWG7OM6MZXO3FGCXZF4ZWYL6","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":"182b49bddc43594d1635e6291c93040f88973a80586bb87ca75e9e86323ab6ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-29T11:37:43Z","title_canon_sha256":"c479160a7070b99aaa1f4f1251075ee567a8f17b2add6cc45aaee8f71f1a4d2b"},"schema_version":"1.0","source":{"id":"2012.14710","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.14710","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"arxiv_version","alias_value":"2012.14710v2","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.14710","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"pith_short_12","alias_value":"SBQWG7OM6MZX","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"pith_short_16","alias_value":"SBQWG7OM6MZXO3FG","created_at":"2026-07-05T02:44:53Z"},{"alias_kind":"pith_short_8","alias_value":"SBQWG7OM","created_at":"2026-07-05T02:44:53Z"}],"graph_snapshots":[{"event_id":"sha256:5661000bb78502adf09399da09a064bd44e8a53744563a46f9bd4b46d1136ec6","target":"graph","created_at":"2026-07-05T02:44:53Z","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/2012.14710/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code summarization (CS) is becoming a promising area in recent language understanding, which aims to generate sensible human language automatically for programming language in the format of source code, serving in the most convenience of programmer developing. It is well known that programming languages are highly structured. Thus previous works attempt to apply structure-based traversal (SBT) or non-sequential models like Tree-LSTM and graph neural network (GNN) to learn structural program semantics. However, it is surprising that incorporating SBT into advanced encoder like Transformer inste","authors_text":"Hai Zhao, Hongqiu Wu, Min Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-29T11:37:43Z","title":"Code Summarization with Structure-induced Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.14710","kind":"arxiv","version":2},"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":"sha256:042dcaa6435d035a95c2e60a7793dad29bd8ceb2443ba57c06337636a2953d2d","target":"record","created_at":"2026-07-05T02:44:53Z","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":"182b49bddc43594d1635e6291c93040f88973a80586bb87ca75e9e86323ab6ac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2020-12-29T11:37:43Z","title_canon_sha256":"c479160a7070b99aaa1f4f1251075ee567a8f17b2add6cc45aaee8f71f1a4d2b"},"schema_version":"1.0","source":{"id":"2012.14710","kind":"arxiv","version":2}},"canonical_sha256":"9061637dccf333776ca615f25e66d85fa9bd81034b010cfa76838faf63e6f88b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9061637dccf333776ca615f25e66d85fa9bd81034b010cfa76838faf63e6f88b","first_computed_at":"2026-07-05T02:44:53.199402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:44:53.199402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+A+uJitVX/PsZNNlHg4/BRC3Z0HpZ5U9AitwwEv1xZJnxtuif6/nla68Ab9KOzUJiMsOhgNvQQjPAEvVDTkPDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:44:53.199907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.14710","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:042dcaa6435d035a95c2e60a7793dad29bd8ceb2443ba57c06337636a2953d2d","sha256:5661000bb78502adf09399da09a064bd44e8a53744563a46f9bd4b46d1136ec6"],"state_sha256":"c8f8b6a941eefa233aaaa46eb962e929731ebbc86f0383aec8c3c91aeb83a740"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"db2Vth8311VhlU2OsOPiqdTLjVby+ddpo47I/eCLSSIIIAb5lHV8xvuTE/D1soFKSspC/VWd3a2G70yZMV7WAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T18:14:41.324670Z","bundle_sha256":"3243cf9210dde3d28e379d24446efe6546f9ab8473228ba368227aed394c1a11"}}