{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2JFOB32WDMLFSUDMS3XM4JPIJ7","short_pith_number":"pith:2JFOB32W","canonical_record":{"source":{"id":"2508.19229","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-26T17:45:05Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"313f17978aa04f2b4a84be4ef2c2a503156b070aea7f953f7482456835890521","abstract_canon_sha256":"3480f6b2d3b321caab5dc7e4552d38f6a10c22695a797c0f3bd3245093252176"},"schema_version":"1.0"},"canonical_sha256":"d24ae0ef561b1659506c96eece25e84ffa5b0efb07531b11fcf85fccbde03e61","source":{"kind":"arxiv","id":"2508.19229","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.19229","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2508.19229v2","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19229","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"2JFOB32WDMLF","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"2JFOB32WDMLFSUDM","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"2JFOB32W","created_at":"2026-07-05T12:00:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2JFOB32WDMLFSUDMS3XM4JPIJ7","target":"record","payload":{"canonical_record":{"source":{"id":"2508.19229","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-26T17:45:05Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"313f17978aa04f2b4a84be4ef2c2a503156b070aea7f953f7482456835890521","abstract_canon_sha256":"3480f6b2d3b321caab5dc7e4552d38f6a10c22695a797c0f3bd3245093252176"},"schema_version":"1.0"},"canonical_sha256":"d24ae0ef561b1659506c96eece25e84ffa5b0efb07531b11fcf85fccbde03e61","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:00:10.909256Z","signature_b64":"uQOz8hAyr1Ij1kGoe0r7vXTzC+ntW8+viqyQn5qdO5s0ERwGPjohApxnwda/Jg9wDrXsz5tVHmFmWTfWPSiBAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d24ae0ef561b1659506c96eece25e84ffa5b0efb07531b11fcf85fccbde03e61","last_reissued_at":"2026-07-05T12:00:10.908837Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:00:10.908837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.19229","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":"2026-07-05T12:00:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PNVI6eQ68oHuvoEjl30LeVqAWOIG8OoW2IxN3/BeiSjwP2yKOINVrA7tvf1e40UIVgA4ddkwmhON+wZcpJtrDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:21:10.257065Z"},"content_sha256":"a83ece00f1e3ef8b3547aa55cc8267a7acc65f9316e8dfb2e97aaa16701d40d1","schema_version":"1.0","event_id":"sha256:a83ece00f1e3ef8b3547aa55cc8267a7acc65f9316e8dfb2e97aaa16701d40d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2JFOB32WDMLFSUDMS3XM4JPIJ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StepWiser: Stepwise Generative Judges for Wiser Reasoning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.AI","authors_text":"Jason Weston, Olga Golovneva, Sainbayar Sukhbaatar, Tong Zhang, Wei Xiong, Weizhe Yuan, Wenting Zhao","submitted_at":"2025-08-26T17:45:05Z","abstract_excerpt":"As models increasingly leverage multi-step reasoning strategies to solve complex problems, supervising the logical validity of these intermediate steps has become a critical research challenge. Process reward models address this by providing step-by-step feedback, but current approaches have two major drawbacks: they typically function as classifiers without providing explanations, and their reliance on supervised fine-tuning with static datasets limits generalization. Inspired by recent advances, we reframe stepwise reward modeling from a classification task to a reasoning task itself. We thu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19229","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/2508.19229/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":"2026-07-05T12:00:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8n4d2ECkQYU19XOVT51/P7U/pVK1OWODBHMrUgQtI9SRvXXrmpr2GIaJNqUo/Dum4vlU1gZP3GClOZqbAL4jCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T10:21:10.257602Z"},"content_sha256":"3a87e8a2e2dacf698aa4014915ee560c058aca493e50ca6c5fb8c2a21e03fe02","schema_version":"1.0","event_id":"sha256:3a87e8a2e2dacf698aa4014915ee560c058aca493e50ca6c5fb8c2a21e03fe02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2JFOB32WDMLFSUDMS3XM4JPIJ7/bundle.json","state_url":"https://pith.science/pith/2JFOB32WDMLFSUDMS3XM4JPIJ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2JFOB32WDMLFSUDMS3XM4JPIJ7/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":"2026-08-10T10:21:10Z","links":{"resolver":"https://pith.science/pith/2JFOB32WDMLFSUDMS3XM4JPIJ7","bundle":"https://pith.science/pith/2JFOB32WDMLFSUDMS3XM4JPIJ7/bundle.json","state":"https://pith.science/pith/2JFOB32WDMLFSUDMS3XM4JPIJ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2JFOB32WDMLFSUDMS3XM4JPIJ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2JFOB32WDMLFSUDMS3XM4JPIJ7","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":"3480f6b2d3b321caab5dc7e4552d38f6a10c22695a797c0f3bd3245093252176","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-26T17:45:05Z","title_canon_sha256":"313f17978aa04f2b4a84be4ef2c2a503156b070aea7f953f7482456835890521"},"schema_version":"1.0","source":{"id":"2508.19229","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.19229","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"arxiv_version","alias_value":"2508.19229v2","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.19229","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"pith_short_12","alias_value":"2JFOB32WDMLF","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"pith_short_16","alias_value":"2JFOB32WDMLFSUDM","created_at":"2026-07-05T12:00:10Z"},{"alias_kind":"pith_short_8","alias_value":"2JFOB32W","created_at":"2026-07-05T12:00:10Z"}],"graph_snapshots":[{"event_id":"sha256:3a87e8a2e2dacf698aa4014915ee560c058aca493e50ca6c5fb8c2a21e03fe02","target":"graph","created_at":"2026-07-05T12:00:10Z","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/2508.19229/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As models increasingly leverage multi-step reasoning strategies to solve complex problems, supervising the logical validity of these intermediate steps has become a critical research challenge. Process reward models address this by providing step-by-step feedback, but current approaches have two major drawbacks: they typically function as classifiers without providing explanations, and their reliance on supervised fine-tuning with static datasets limits generalization. Inspired by recent advances, we reframe stepwise reward modeling from a classification task to a reasoning task itself. We thu","authors_text":"Jason Weston, Olga Golovneva, Sainbayar Sukhbaatar, Tong Zhang, Wei Xiong, Weizhe Yuan, Wenting Zhao","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-26T17:45:05Z","title":"StepWiser: Stepwise Generative Judges for Wiser Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.19229","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:a83ece00f1e3ef8b3547aa55cc8267a7acc65f9316e8dfb2e97aaa16701d40d1","target":"record","created_at":"2026-07-05T12:00:10Z","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":"3480f6b2d3b321caab5dc7e4552d38f6a10c22695a797c0f3bd3245093252176","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-08-26T17:45:05Z","title_canon_sha256":"313f17978aa04f2b4a84be4ef2c2a503156b070aea7f953f7482456835890521"},"schema_version":"1.0","source":{"id":"2508.19229","kind":"arxiv","version":2}},"canonical_sha256":"d24ae0ef561b1659506c96eece25e84ffa5b0efb07531b11fcf85fccbde03e61","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d24ae0ef561b1659506c96eece25e84ffa5b0efb07531b11fcf85fccbde03e61","first_computed_at":"2026-07-05T12:00:10.908837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:10.908837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uQOz8hAyr1Ij1kGoe0r7vXTzC+ntW8+viqyQn5qdO5s0ERwGPjohApxnwda/Jg9wDrXsz5tVHmFmWTfWPSiBAA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:10.909256Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.19229","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a83ece00f1e3ef8b3547aa55cc8267a7acc65f9316e8dfb2e97aaa16701d40d1","sha256:3a87e8a2e2dacf698aa4014915ee560c058aca493e50ca6c5fb8c2a21e03fe02"],"state_sha256":"dd7fd7a9c43bd61dfedc82711c8237e0399cae6691267a1d61b26e9a091df8d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mUXDByba/PDqaIqXdW0gw/iuuUC3IRmmuwYq4yU6XGy8tS8BmHivO2zg46Nw1wz1xAdEhcjm5NTVFumR9Si9Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T10:21:10.261770Z","bundle_sha256":"2127794e06cfe10af8d7e69a6b1242149b5740773412cdb8d29c79e399d6622d"}}