{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:PIFO2Z2SQJHT3W5Z7BLZY6WHHE","short_pith_number":"pith:PIFO2Z2S","canonical_record":{"source":{"id":"2507.09884","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-14T03:45:24Z","cross_cats_sorted":[],"title_canon_sha256":"d34f58071fc1f87ab61a23d699cfd83c8c66fac604aa7a016937ebeb3a93315c","abstract_canon_sha256":"676ae3e81a4b0603b47a35d9e4a1ca6a8e4ab3a14efae500f17eb9289a98e3db"},"schema_version":"1.0"},"canonical_sha256":"7a0aed6752824f3ddbb9f8579c7ac73929bd7a4eab9cfbdfcf2292ed0dcace5e","source":{"kind":"arxiv","id":"2507.09884","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.09884","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"arxiv_version","alias_value":"2507.09884v3","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09884","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"pith_short_12","alias_value":"PIFO2Z2SQJHT","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"pith_short_16","alias_value":"PIFO2Z2SQJHT3W5Z","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"pith_short_8","alias_value":"PIFO2Z2S","created_at":"2026-07-05T11:43:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:PIFO2Z2SQJHT3W5Z7BLZY6WHHE","target":"record","payload":{"canonical_record":{"source":{"id":"2507.09884","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-14T03:45:24Z","cross_cats_sorted":[],"title_canon_sha256":"d34f58071fc1f87ab61a23d699cfd83c8c66fac604aa7a016937ebeb3a93315c","abstract_canon_sha256":"676ae3e81a4b0603b47a35d9e4a1ca6a8e4ab3a14efae500f17eb9289a98e3db"},"schema_version":"1.0"},"canonical_sha256":"7a0aed6752824f3ddbb9f8579c7ac73929bd7a4eab9cfbdfcf2292ed0dcace5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:33.571976Z","signature_b64":"Dv+VtXsMWgkOrQYXdwltcgjOOrQ76AYfehlsvyn/7LANIlZQRPjdVN2t0nOrCcYYgHvW0dbld8bIBaG/jWBrBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7a0aed6752824f3ddbb9f8579c7ac73929bd7a4eab9cfbdfcf2292ed0dcace5e","last_reissued_at":"2026-07-05T11:43:33.571579Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:33.571579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.09884","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:43:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7CgDGELd9Ci4aPJcGop/yzqN4GWUQAZezN5r8hu/jI74iHJWVtZF48m/tNQX4VgKp2JK25dRzy5D8AEVNettDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:56:14.413425Z"},"content_sha256":"7340bc069741bee3830cef6a335db78e1e77fd44240314a27dc7c66e01ee65b9","schema_version":"1.0","event_id":"sha256:7340bc069741bee3830cef6a335db78e1e77fd44240314a27dc7c66e01ee65b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:PIFO2Z2SQJHT3W5Z7BLZY6WHHE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Shiyu Hu, Wentao Zhang, Xuchen Li, Xuzhao Li, Yongzhen Guo","submitted_at":"2025-07-14T03:45:24Z","abstract_excerpt":"Large language models (LLMs) increasingly rely on reinforcement learning (RL) to enhance their reasoning capabilities through feedback. A critical challenge is verifying the consistency of model-generated responses and reference answers, since these responses are often lengthy, diverse, and nuanced. Rule-based verifiers struggle with complexity, prompting the use of model-based verifiers. However, specialized verifiers lack flexibility, while general LLM judges can be inconsistent. Existing research primarily focuses on building better verifiers, yet a systematic evaluation of different types "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09884","kind":"arxiv","version":3},"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/2507.09884/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":"2026-07-05T11:43:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1MvDkSZusJu5usjNxXIPPJxIhLqYjtIIoJh3yoBhbx3MRorAkFH5XeRUGTzOfOOZzLN6s378+Bk8PBTx84CMAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T13:56:14.413904Z"},"content_sha256":"ab9dc46d05d1485066bc4ec0676a0251663082b003bd3a5200e8fcc6ec91083b","schema_version":"1.0","event_id":"sha256:ab9dc46d05d1485066bc4ec0676a0251663082b003bd3a5200e8fcc6ec91083b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PIFO2Z2SQJHT3W5Z7BLZY6WHHE/bundle.json","state_url":"https://pith.science/pith/PIFO2Z2SQJHT3W5Z7BLZY6WHHE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PIFO2Z2SQJHT3W5Z7BLZY6WHHE/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":"2026-07-31T13:56:14Z","links":{"resolver":"https://pith.science/pith/PIFO2Z2SQJHT3W5Z7BLZY6WHHE","bundle":"https://pith.science/pith/PIFO2Z2SQJHT3W5Z7BLZY6WHHE/bundle.json","state":"https://pith.science/pith/PIFO2Z2SQJHT3W5Z7BLZY6WHHE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PIFO2Z2SQJHT3W5Z7BLZY6WHHE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:PIFO2Z2SQJHT3W5Z7BLZY6WHHE","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":"676ae3e81a4b0603b47a35d9e4a1ca6a8e4ab3a14efae500f17eb9289a98e3db","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-14T03:45:24Z","title_canon_sha256":"d34f58071fc1f87ab61a23d699cfd83c8c66fac604aa7a016937ebeb3a93315c"},"schema_version":"1.0","source":{"id":"2507.09884","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.09884","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"arxiv_version","alias_value":"2507.09884v3","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.09884","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"pith_short_12","alias_value":"PIFO2Z2SQJHT","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"pith_short_16","alias_value":"PIFO2Z2SQJHT3W5Z","created_at":"2026-07-05T11:43:33Z"},{"alias_kind":"pith_short_8","alias_value":"PIFO2Z2S","created_at":"2026-07-05T11:43:33Z"}],"graph_snapshots":[{"event_id":"sha256:ab9dc46d05d1485066bc4ec0676a0251663082b003bd3a5200e8fcc6ec91083b","target":"graph","created_at":"2026-07-05T11:43:33Z","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/2507.09884/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) increasingly rely on reinforcement learning (RL) to enhance their reasoning capabilities through feedback. A critical challenge is verifying the consistency of model-generated responses and reference answers, since these responses are often lengthy, diverse, and nuanced. Rule-based verifiers struggle with complexity, prompting the use of model-based verifiers. However, specialized verifiers lack flexibility, while general LLM judges can be inconsistent. Existing research primarily focuses on building better verifiers, yet a systematic evaluation of different types ","authors_text":"Shiyu Hu, Wentao Zhang, Xuchen Li, Xuzhao Li, Yongzhen Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-14T03:45:24Z","title":"VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.09884","kind":"arxiv","version":3},"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":"sha256:7340bc069741bee3830cef6a335db78e1e77fd44240314a27dc7c66e01ee65b9","target":"record","created_at":"2026-07-05T11:43:33Z","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":"676ae3e81a4b0603b47a35d9e4a1ca6a8e4ab3a14efae500f17eb9289a98e3db","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-07-14T03:45:24Z","title_canon_sha256":"d34f58071fc1f87ab61a23d699cfd83c8c66fac604aa7a016937ebeb3a93315c"},"schema_version":"1.0","source":{"id":"2507.09884","kind":"arxiv","version":3}},"canonical_sha256":"7a0aed6752824f3ddbb9f8579c7ac73929bd7a4eab9cfbdfcf2292ed0dcace5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7a0aed6752824f3ddbb9f8579c7ac73929bd7a4eab9cfbdfcf2292ed0dcace5e","first_computed_at":"2026-07-05T11:43:33.571579Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:43:33.571579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dv+VtXsMWgkOrQYXdwltcgjOOrQ76AYfehlsvyn/7LANIlZQRPjdVN2t0nOrCcYYgHvW0dbld8bIBaG/jWBrBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:43:33.571976Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.09884","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7340bc069741bee3830cef6a335db78e1e77fd44240314a27dc7c66e01ee65b9","sha256:ab9dc46d05d1485066bc4ec0676a0251663082b003bd3a5200e8fcc6ec91083b"],"state_sha256":"d7c2d0fe503ec3ed16530af919e359895542a11525f6fae7354e0520f895049d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KnLp4iWzjTmPr1Dp2q2+hPvQ/rhleS7S1M7xWBocY58k88agrjLN+SpdC3wo+pVsDgbm8dM12pi4tvJkqQ2ECQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T13:56:14.419688Z","bundle_sha256":"761e926aba9120373cadd70fadfbf016183a753d509d9d1efe377d1b267daeb4"}}