{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:W4CARYHYH5WHQJVJ6P32IUOOY4","short_pith_number":"pith:W4CARYHY","canonical_record":{"source":{"id":"2401.08376","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T14:07:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d6bf4f6ef910ce1a18711f089a46d84363513eb1dc30a0186bff053c1b5ee096","abstract_canon_sha256":"4518af17098971097b943455115cedfadec4dd1d2e476c35544a65b52ea5ef9b"},"schema_version":"1.0"},"canonical_sha256":"b70408e0f83f6c7826a9f3f7a451cec70326090c259abb03a2301eaa993ad329","source":{"kind":"arxiv","id":"2401.08376","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08376","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08376v1","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08376","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"pith_short_12","alias_value":"W4CARYHYH5WH","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"pith_short_16","alias_value":"W4CARYHYH5WHQJVJ","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"pith_short_8","alias_value":"W4CARYHY","created_at":"2026-07-05T07:34:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:W4CARYHYH5WHQJVJ6P32IUOOY4","target":"record","payload":{"canonical_record":{"source":{"id":"2401.08376","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T14:07:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d6bf4f6ef910ce1a18711f089a46d84363513eb1dc30a0186bff053c1b5ee096","abstract_canon_sha256":"4518af17098971097b943455115cedfadec4dd1d2e476c35544a65b52ea5ef9b"},"schema_version":"1.0"},"canonical_sha256":"b70408e0f83f6c7826a9f3f7a451cec70326090c259abb03a2301eaa993ad329","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:34:11.289646Z","signature_b64":"5mQdVdNDshIB+/ZyJv0wO+JF0WrJkcRgkghuiNX8nXuSB/IhYVTsolwVfTERSfVV1ISwaPzCaMcE8rEkZ5kaAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b70408e0f83f6c7826a9f3f7a451cec70326090c259abb03a2301eaa993ad329","last_reissued_at":"2026-07-05T07:34:11.289185Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:34:11.289185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.08376","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":"2026-07-05T07:34:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WL0k8m1XAd4tyirqbLXTeUWk98Lvbqy/GF/CriQ8xorMjBkoqz4/9f6BRnoaGvghluw0q3CbUIgbMBWpgWe7Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:38:12.438885Z"},"content_sha256":"189a83d22e12f5510df7699eb9528293a764c9ffab01e5ead070afd16f2508bb","schema_version":"1.0","event_id":"sha256:189a83d22e12f5510df7699eb9528293a764c9ffab01e5ead070afd16f2508bb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:W4CARYHYH5WHQJVJ6P32IUOOY4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SE","authors_text":"Haofen Wang, Hongyu Zhang, Wei Tao, Wenqiang Zhang, Yanlin Wang, Yucheng Zhou","submitted_at":"2024-01-16T14:07:48Z","abstract_excerpt":"Commit messages are natural language descriptions of code changes, which are important for software evolution such as code understanding and maintenance. However, previous methods are trained on the entire dataset without considering the fact that a portion of commit messages adhere to good practice (i.e., good-practice commits), while the rest do not. On the basis of our empirical study, we discover that training on good-practice commits significantly contributes to the commit message generation. Motivated by this finding, we propose a novel knowledge-aware denoising learning method called KA"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08376","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/2401.08376/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":"2026-07-05T07:34:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"36UQReFCqFHnLwHP2koGN5xFGrg5zXOgj/AsySlPudAHM6TDGwVNLpF5UXqcT+I30Az0tkJEKZxggNx/fqfTAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:38:12.439374Z"},"content_sha256":"03751a21da26c898a0871fd72e4df4157ed057507f5941662489fa3a452903a9","schema_version":"1.0","event_id":"sha256:03751a21da26c898a0871fd72e4df4157ed057507f5941662489fa3a452903a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W4CARYHYH5WHQJVJ6P32IUOOY4/bundle.json","state_url":"https://pith.science/pith/W4CARYHYH5WHQJVJ6P32IUOOY4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W4CARYHYH5WHQJVJ6P32IUOOY4/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":"2026-08-07T06:38:12Z","links":{"resolver":"https://pith.science/pith/W4CARYHYH5WHQJVJ6P32IUOOY4","bundle":"https://pith.science/pith/W4CARYHYH5WHQJVJ6P32IUOOY4/bundle.json","state":"https://pith.science/pith/W4CARYHYH5WHQJVJ6P32IUOOY4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W4CARYHYH5WHQJVJ6P32IUOOY4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:W4CARYHYH5WHQJVJ6P32IUOOY4","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":"4518af17098971097b943455115cedfadec4dd1d2e476c35544a65b52ea5ef9b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T14:07:48Z","title_canon_sha256":"d6bf4f6ef910ce1a18711f089a46d84363513eb1dc30a0186bff053c1b5ee096"},"schema_version":"1.0","source":{"id":"2401.08376","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.08376","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"arxiv_version","alias_value":"2401.08376v1","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.08376","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"pith_short_12","alias_value":"W4CARYHYH5WH","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"pith_short_16","alias_value":"W4CARYHYH5WHQJVJ","created_at":"2026-07-05T07:34:11Z"},{"alias_kind":"pith_short_8","alias_value":"W4CARYHY","created_at":"2026-07-05T07:34:11Z"}],"graph_snapshots":[{"event_id":"sha256:03751a21da26c898a0871fd72e4df4157ed057507f5941662489fa3a452903a9","target":"graph","created_at":"2026-07-05T07:34:11Z","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/2401.08376/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Commit messages are natural language descriptions of code changes, which are important for software evolution such as code understanding and maintenance. However, previous methods are trained on the entire dataset without considering the fact that a portion of commit messages adhere to good practice (i.e., good-practice commits), while the rest do not. On the basis of our empirical study, we discover that training on good-practice commits significantly contributes to the commit message generation. Motivated by this finding, we propose a novel knowledge-aware denoising learning method called KA","authors_text":"Haofen Wang, Hongyu Zhang, Wei Tao, Wenqiang Zhang, Yanlin Wang, Yucheng Zhou","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T14:07:48Z","title":"KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.08376","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":"sha256:189a83d22e12f5510df7699eb9528293a764c9ffab01e5ead070afd16f2508bb","target":"record","created_at":"2026-07-05T07:34:11Z","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":"4518af17098971097b943455115cedfadec4dd1d2e476c35544a65b52ea5ef9b","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2024-01-16T14:07:48Z","title_canon_sha256":"d6bf4f6ef910ce1a18711f089a46d84363513eb1dc30a0186bff053c1b5ee096"},"schema_version":"1.0","source":{"id":"2401.08376","kind":"arxiv","version":1}},"canonical_sha256":"b70408e0f83f6c7826a9f3f7a451cec70326090c259abb03a2301eaa993ad329","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b70408e0f83f6c7826a9f3f7a451cec70326090c259abb03a2301eaa993ad329","first_computed_at":"2026-07-05T07:34:11.289185Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:11.289185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5mQdVdNDshIB+/ZyJv0wO+JF0WrJkcRgkghuiNX8nXuSB/IhYVTsolwVfTERSfVV1ISwaPzCaMcE8rEkZ5kaAA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:11.289646Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.08376","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:189a83d22e12f5510df7699eb9528293a764c9ffab01e5ead070afd16f2508bb","sha256:03751a21da26c898a0871fd72e4df4157ed057507f5941662489fa3a452903a9"],"state_sha256":"5a08e5c26d48a7a6eff5eb999d112520987184c59edcb49e2b3113f4523e961d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k6hPtVmmHHEe6B2VzC+bueot/yt4X8+YNGsLVsCQGlDIzUv88hfOMR5PyRryvwYmF+h+a2Zyc+aTg7o4/VphAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:38:12.443573Z","bundle_sha256":"34ab42c3b52051085c66c7d5c9a65a4b39fdf7ad26fc30772ae0a800dbb9cf6e"}}