{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RK2BUOEGAV7XXVWZ7NNN63VHSE","short_pith_number":"pith:RK2BUOEG","canonical_record":{"source":{"id":"2506.04464","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-04T21:31:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"30f6b492ee8bc047d3541a09eae974fc4d2f9f587d9d046386e29678f36cec64","abstract_canon_sha256":"33f278c8d2be0c8965d11238eabeb8d14abce776e99a4bfbbeb2d3a4fff96e04"},"schema_version":"1.0"},"canonical_sha256":"8ab41a3886057f7bd6d9fb5adf6ea79121a97cda5d83eaaa8d398abd4d73e6b4","source":{"kind":"arxiv","id":"2506.04464","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04464","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04464v1","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04464","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_12","alias_value":"RK2BUOEGAV7X","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_16","alias_value":"RK2BUOEGAV7XXVWZ","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_8","alias_value":"RK2BUOEG","created_at":"2026-07-05T11:16:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RK2BUOEGAV7XXVWZ7NNN63VHSE","target":"record","payload":{"canonical_record":{"source":{"id":"2506.04464","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-04T21:31:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"30f6b492ee8bc047d3541a09eae974fc4d2f9f587d9d046386e29678f36cec64","abstract_canon_sha256":"33f278c8d2be0c8965d11238eabeb8d14abce776e99a4bfbbeb2d3a4fff96e04"},"schema_version":"1.0"},"canonical_sha256":"8ab41a3886057f7bd6d9fb5adf6ea79121a97cda5d83eaaa8d398abd4d73e6b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:14.890804Z","signature_b64":"aPDJwP/zfdtM/wkVfmHGnGYmmwiCCQJ3lmpiQra1UkRylaSOPt5IH6SHfDGYfT90NaJH+fnYaBKoUnksYG+BDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8ab41a3886057f7bd6d9fb5adf6ea79121a97cda5d83eaaa8d398abd4d73e6b4","last_reissued_at":"2026-07-05T11:16:14.890363Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:14.890363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.04464","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":"2026-07-05T11:16:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CS9Q8hQbLgdcsc+aI8cY+AGNmCa6VCe3PsOKycYX1zihu9zCFp0UOcBPoQIT4SUjWoZoLVguDzaBplKn9oXlAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:25:04.015054Z"},"content_sha256":"7a926ff9c170c95982424db532ae867db4714c4811d37db7a4e88cb21e12f909","schema_version":"1.0","event_id":"sha256:7a926ff9c170c95982424db532ae867db4714c4811d37db7a4e88cb21e12f909"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RK2BUOEGAV7XXVWZ7NNN63VHSE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Reward Models for Guiding Code Review Comment Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.SE","authors_text":"Gabriele Bavota, Houari Sahraoui, Oussama Ben Sghaier, Rosalia Tufano","submitted_at":"2025-06-04T21:31:38Z","abstract_excerpt":"Code review is a crucial component of modern software development, involving the evaluation of code quality, providing feedback on potential issues, and refining the code to address identified problems. Despite these benefits, code review can be rather time consuming, and influenced by subjectivity and human factors. For these reasons, techniques to (partially) automate the code review process have been proposed in the literature. Among those, the ones exploiting deep learning (DL) are able to tackle the generative aspect of code review, by commenting on a given code as a human reviewer would "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04464","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/2506.04464/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":"2026-07-05T11:16:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2wxOAvW7Hn+zZFTflFK2eKYRyLsUM88k0oBfyfwC9TiIDz5xQf5HLtz1H7dGXwVGxd6pGVIdXn7QFHZhmwwsBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:25:04.015574Z"},"content_sha256":"de286940ec9e8ccb945bb55beda466bff1503aa95d364f785464940be9a424e6","schema_version":"1.0","event_id":"sha256:de286940ec9e8ccb945bb55beda466bff1503aa95d364f785464940be9a424e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RK2BUOEGAV7XXVWZ7NNN63VHSE/bundle.json","state_url":"https://pith.science/pith/RK2BUOEGAV7XXVWZ7NNN63VHSE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RK2BUOEGAV7XXVWZ7NNN63VHSE/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":"2026-08-12T12:25:04Z","links":{"resolver":"https://pith.science/pith/RK2BUOEGAV7XXVWZ7NNN63VHSE","bundle":"https://pith.science/pith/RK2BUOEGAV7XXVWZ7NNN63VHSE/bundle.json","state":"https://pith.science/pith/RK2BUOEGAV7XXVWZ7NNN63VHSE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RK2BUOEGAV7XXVWZ7NNN63VHSE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RK2BUOEGAV7XXVWZ7NNN63VHSE","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":"33f278c8d2be0c8965d11238eabeb8d14abce776e99a4bfbbeb2d3a4fff96e04","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-04T21:31:38Z","title_canon_sha256":"30f6b492ee8bc047d3541a09eae974fc4d2f9f587d9d046386e29678f36cec64"},"schema_version":"1.0","source":{"id":"2506.04464","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04464","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04464v1","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04464","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_12","alias_value":"RK2BUOEGAV7X","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_16","alias_value":"RK2BUOEGAV7XXVWZ","created_at":"2026-07-05T11:16:14Z"},{"alias_kind":"pith_short_8","alias_value":"RK2BUOEG","created_at":"2026-07-05T11:16:14Z"}],"graph_snapshots":[{"event_id":"sha256:de286940ec9e8ccb945bb55beda466bff1503aa95d364f785464940be9a424e6","target":"graph","created_at":"2026-07-05T11:16:14Z","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/2506.04464/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Code review is a crucial component of modern software development, involving the evaluation of code quality, providing feedback on potential issues, and refining the code to address identified problems. Despite these benefits, code review can be rather time consuming, and influenced by subjectivity and human factors. For these reasons, techniques to (partially) automate the code review process have been proposed in the literature. Among those, the ones exploiting deep learning (DL) are able to tackle the generative aspect of code review, by commenting on a given code as a human reviewer would ","authors_text":"Gabriele Bavota, Houari Sahraoui, Oussama Ben Sghaier, Rosalia Tufano","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-04T21:31:38Z","title":"Leveraging Reward Models for Guiding Code Review Comment Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04464","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":"sha256:7a926ff9c170c95982424db532ae867db4714c4811d37db7a4e88cb21e12f909","target":"record","created_at":"2026-07-05T11:16:14Z","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":"33f278c8d2be0c8965d11238eabeb8d14abce776e99a4bfbbeb2d3a4fff96e04","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-04T21:31:38Z","title_canon_sha256":"30f6b492ee8bc047d3541a09eae974fc4d2f9f587d9d046386e29678f36cec64"},"schema_version":"1.0","source":{"id":"2506.04464","kind":"arxiv","version":1}},"canonical_sha256":"8ab41a3886057f7bd6d9fb5adf6ea79121a97cda5d83eaaa8d398abd4d73e6b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8ab41a3886057f7bd6d9fb5adf6ea79121a97cda5d83eaaa8d398abd4d73e6b4","first_computed_at":"2026-07-05T11:16:14.890363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:14.890363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aPDJwP/zfdtM/wkVfmHGnGYmmwiCCQJ3lmpiQra1UkRylaSOPt5IH6SHfDGYfT90NaJH+fnYaBKoUnksYG+BDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:14.890804Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.04464","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a926ff9c170c95982424db532ae867db4714c4811d37db7a4e88cb21e12f909","sha256:de286940ec9e8ccb945bb55beda466bff1503aa95d364f785464940be9a424e6"],"state_sha256":"aaece41b6943fb1bd2a2b16d08408399c9749ddbfb8ec953fa095e2cd69b2c5d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zKI5qFpVzVn/CHpDdQkvR6zTnPsqL/Vwdf28aX3vUveuQbC2wTQFVjnUUp9/pGP4m6X9zswO+F8Ci3yy/Tw7Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T12:25:04.020381Z","bundle_sha256":"9130dfa625f72fb59fca2a4f146d2ec3837bf490f00dd5590ba1557fcf152466"}}