{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I3P3YZ5OKL5BEHHHOYAVBMNBQ3","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":"5dc009ff107e4fe42565c8575f060f8bdbe3fe2863078b869c14e66e712808be","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-16T00:27:05Z","title_canon_sha256":"12aee623797338bebbbf430e26c9ab60e649cbf2434183d4e7466e3358e7c1ec"},"schema_version":"1.0","source":{"id":"2502.10938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.10938","created_at":"2026-07-05T10:15:01Z"},{"alias_kind":"arxiv_version","alias_value":"2502.10938v1","created_at":"2026-07-05T10:15:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.10938","created_at":"2026-07-05T10:15:01Z"},{"alias_kind":"pith_short_12","alias_value":"I3P3YZ5OKL5B","created_at":"2026-07-05T10:15:01Z"},{"alias_kind":"pith_short_16","alias_value":"I3P3YZ5OKL5BEHHH","created_at":"2026-07-05T10:15:01Z"},{"alias_kind":"pith_short_8","alias_value":"I3P3YZ5O","created_at":"2026-07-05T10:15:01Z"}],"graph_snapshots":[{"event_id":"sha256:a2bcb0a6b6b83c56f6a90c2fd611c498eb0c2f57dd24e7a40b4a478deab62fc5","target":"graph","created_at":"2026-07-05T10:15:01Z","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/2502.10938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have exhibited remarkable capabilities across diverse domains, prompting investigations into their potential as generic reasoning engines. While recent studies have explored inference-time computation to enhance model performance on complex problems, current research lacks a formal framework to characterize the complexity of reasoning tasks. This study introduces the Predicate-Enumeration-Aggregation (PEA) framework, a formal approach to describe and solve a class of important reasoning tasks termed computational reasoning problems. The PEA framework decomposes the","authors_text":"Mohannad Alhanahnah, Shiwei Weng, Somesh Jha, Tom Reps, Zi Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-16T00:27:05Z","title":"PEA: Enhancing LLM Performance on Computational-Reasoning Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.10938","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:f57b33f213b0ea51f7d18e4d8a762f6e3645818aa5701fe11991139149d6c0b3","target":"record","created_at":"2026-07-05T10:15:01Z","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":"5dc009ff107e4fe42565c8575f060f8bdbe3fe2863078b869c14e66e712808be","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-02-16T00:27:05Z","title_canon_sha256":"12aee623797338bebbbf430e26c9ab60e649cbf2434183d4e7466e3358e7c1ec"},"schema_version":"1.0","source":{"id":"2502.10938","kind":"arxiv","version":1}},"canonical_sha256":"46dfbc67ae52fa121ce7760150b1a186d0406c674aa6065942b2c9628876e337","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46dfbc67ae52fa121ce7760150b1a186d0406c674aa6065942b2c9628876e337","first_computed_at":"2026-07-05T10:15:01.358582Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:01.358582Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wuE1DT2dFknZrv/6t199EiRqGFI739Url4ei2+v4I+7VasX0K+aSxS/9L2fwfie76U75xdWuU+TXx98vIdeaBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:01.359070Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.10938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f57b33f213b0ea51f7d18e4d8a762f6e3645818aa5701fe11991139149d6c0b3","sha256:a2bcb0a6b6b83c56f6a90c2fd611c498eb0c2f57dd24e7a40b4a478deab62fc5"],"state_sha256":"db8a9dd49eed79f14a23cf94a4254f345a00b3b7ff9ab8daec0cdbee30b7b3ee"}