{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:N75JPUYRSEA6E72RKYYPY4SPTK","short_pith_number":"pith:N75JPUYR","canonical_record":{"source":{"id":"2509.01494","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-09-01T14:13:34Z","cross_cats_sorted":[],"title_canon_sha256":"f2db0372e4b3b178e847b818d6d64dd899fc6287b16ab2821a5857a5001a162b","abstract_canon_sha256":"eeeeb21ebc694961cf736d79f8eef058f8647377f624c71e6107c8ebfd6b2f12"},"schema_version":"1.0"},"canonical_sha256":"6ffa97d3119101e27f515630fc724f9a9e33d8c9aa6cdc2531e1017ec6b73828","source":{"kind":"arxiv","id":"2509.01494","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01494","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01494v2","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01494","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"pith_short_12","alias_value":"N75JPUYRSEA6","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"pith_short_16","alias_value":"N75JPUYRSEA6E72R","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"pith_short_8","alias_value":"N75JPUYR","created_at":"2026-06-08T01:03:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:N75JPUYRSEA6E72RKYYPY4SPTK","target":"record","payload":{"canonical_record":{"source":{"id":"2509.01494","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-09-01T14:13:34Z","cross_cats_sorted":[],"title_canon_sha256":"f2db0372e4b3b178e847b818d6d64dd899fc6287b16ab2821a5857a5001a162b","abstract_canon_sha256":"eeeeb21ebc694961cf736d79f8eef058f8647377f624c71e6107c8ebfd6b2f12"},"schema_version":"1.0"},"canonical_sha256":"6ffa97d3119101e27f515630fc724f9a9e33d8c9aa6cdc2531e1017ec6b73828","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:03:47.948580Z","signature_b64":"IQ6fPZ4pF8RLuwqWsLJKF2k2s47nuyoF3wuJ0bpzcT7mwvFDOwCCowGuVmf0UBT9+ptkdIbEE8lG/9gEMh3yAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ffa97d3119101e27f515630fc724f9a9e33d8c9aa6cdc2531e1017ec6b73828","last_reissued_at":"2026-06-08T01:03:47.947761Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:03:47.947761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.01494","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":"2026-06-08T01:03:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KejMpNPVYgvGXn8Z2zdfrBf1Pk9+7CtRMIHMDSbTUiYUgWnySZ4yprY5Ft8GcQaDnG0uqz9LQVhMndtpxaD4Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T09:00:54.244941Z"},"content_sha256":"ef9a5b1edd231d21981de6014ce26e9d397a4cf791d777951a6d9aff455198f6","schema_version":"1.0","event_id":"sha256:ef9a5b1edd231d21981de6014ce26e9d397a4cf791d777951a6d9aff455198f6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:N75JPUYRSEA6E72RKYYPY4SPTK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SWR-Bench: Assessing LLM Performance in Real-World Code Review Comment Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Kaicheng Sun, Keke Han, Ruikai Shi, Rui Xie, Shikun Zhang, Wei Ye, Yidong Wang, Yixin Li, Zhengran Zeng, Zhuohao Yu","submitted_at":"2025-09-01T14:13:34Z","abstract_excerpt":"Automated Code Review (ACR) is crucial for software quality, yet existing benchmarks often fail to reflect real-world complexities, hindering the evaluation of modern Large Language Models (LLMs). Current benchmarks frequently focus on fine-grained code units, lack complete project context, and use inadequate evaluation metrics. To address these limitations, we introduce SWRBench , a new benchmark comprising 1000 manually verified Pull Requests (PRs) from GitHub, offering PR-centric review with full project context. SWRBench employs an objective LLM-based evaluation method that aligns strongly"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01494","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/2509.01494/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":"2026-06-08T01:03:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ajJ3D4YFjszOFrI5YUxgHvQHqdLkKTGJ9+46BJEgtAYCDf9S+Uqw2R5q+xvSAfUYXlMnBolDIVocr8Q8B2ujDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T09:00:54.245703Z"},"content_sha256":"6420ba14ded845c8ff2647322a296d7409beb2f48afb88af9a9f03ca7ff47eb1","schema_version":"1.0","event_id":"sha256:6420ba14ded845c8ff2647322a296d7409beb2f48afb88af9a9f03ca7ff47eb1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/N75JPUYRSEA6E72RKYYPY4SPTK/bundle.json","state_url":"https://pith.science/pith/N75JPUYRSEA6E72RKYYPY4SPTK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/N75JPUYRSEA6E72RKYYPY4SPTK/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":"2026-06-10T09:00:54Z","links":{"resolver":"https://pith.science/pith/N75JPUYRSEA6E72RKYYPY4SPTK","bundle":"https://pith.science/pith/N75JPUYRSEA6E72RKYYPY4SPTK/bundle.json","state":"https://pith.science/pith/N75JPUYRSEA6E72RKYYPY4SPTK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/N75JPUYRSEA6E72RKYYPY4SPTK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:N75JPUYRSEA6E72RKYYPY4SPTK","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":"eeeeb21ebc694961cf736d79f8eef058f8647377f624c71e6107c8ebfd6b2f12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-09-01T14:13:34Z","title_canon_sha256":"f2db0372e4b3b178e847b818d6d64dd899fc6287b16ab2821a5857a5001a162b"},"schema_version":"1.0","source":{"id":"2509.01494","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.01494","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"arxiv_version","alias_value":"2509.01494v2","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.01494","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"pith_short_12","alias_value":"N75JPUYRSEA6","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"pith_short_16","alias_value":"N75JPUYRSEA6E72R","created_at":"2026-06-08T01:03:47Z"},{"alias_kind":"pith_short_8","alias_value":"N75JPUYR","created_at":"2026-06-08T01:03:47Z"}],"graph_snapshots":[{"event_id":"sha256:6420ba14ded845c8ff2647322a296d7409beb2f48afb88af9a9f03ca7ff47eb1","target":"graph","created_at":"2026-06-08T01:03:47Z","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/2509.01494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated Code Review (ACR) is crucial for software quality, yet existing benchmarks often fail to reflect real-world complexities, hindering the evaluation of modern Large Language Models (LLMs). Current benchmarks frequently focus on fine-grained code units, lack complete project context, and use inadequate evaluation metrics. To address these limitations, we introduce SWRBench , a new benchmark comprising 1000 manually verified Pull Requests (PRs) from GitHub, offering PR-centric review with full project context. SWRBench employs an objective LLM-based evaluation method that aligns strongly","authors_text":"Kaicheng Sun, Keke Han, Ruikai Shi, Rui Xie, Shikun Zhang, Wei Ye, Yidong Wang, Yixin Li, Zhengran Zeng, Zhuohao Yu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-09-01T14:13:34Z","title":"SWR-Bench: Assessing LLM Performance in Real-World Code Review Comment Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.01494","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:ef9a5b1edd231d21981de6014ce26e9d397a4cf791d777951a6d9aff455198f6","target":"record","created_at":"2026-06-08T01:03:47Z","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":"eeeeb21ebc694961cf736d79f8eef058f8647377f624c71e6107c8ebfd6b2f12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-09-01T14:13:34Z","title_canon_sha256":"f2db0372e4b3b178e847b818d6d64dd899fc6287b16ab2821a5857a5001a162b"},"schema_version":"1.0","source":{"id":"2509.01494","kind":"arxiv","version":2}},"canonical_sha256":"6ffa97d3119101e27f515630fc724f9a9e33d8c9aa6cdc2531e1017ec6b73828","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ffa97d3119101e27f515630fc724f9a9e33d8c9aa6cdc2531e1017ec6b73828","first_computed_at":"2026-06-08T01:03:47.947761Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:03:47.947761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IQ6fPZ4pF8RLuwqWsLJKF2k2s47nuyoF3wuJ0bpzcT7mwvFDOwCCowGuVmf0UBT9+ptkdIbEE8lG/9gEMh3yAg==","signature_status":"signed_v1","signed_at":"2026-06-08T01:03:47.948580Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.01494","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef9a5b1edd231d21981de6014ce26e9d397a4cf791d777951a6d9aff455198f6","sha256:6420ba14ded845c8ff2647322a296d7409beb2f48afb88af9a9f03ca7ff47eb1"],"state_sha256":"78a600619132a51e380f6f3e8302e61c0fa35ccd37d0d81826e2b49c6b907c44"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a53d6S0V3UpXEWhbRgZ6BIae5KJOC5S8xMjzi6oEtgcQKHafi7ENIpUvAGE1nq4kim4FkgfkW6BOe104xCMJBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T09:00:54.250100Z","bundle_sha256":"22793a7137fda26aa2d553edf88a3efb2b193311b045bbe551f8904f9a2a8adc"}}