{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:FTWCIISVQFO4V67U5IVD6HXBBT","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":"02d2eb5c50362a01fbde10ae09994f29570c6d0f9c0eec65dfdb21ad01a61e6d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-10T14:09:18Z","title_canon_sha256":"cc0daca22f1f586ae53326ef8a843d884695b4fb59d472a843fd10f4ad82e61e"},"schema_version":"1.0","source":{"id":"2602.09805","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.09805","created_at":"2026-05-20T00:05:41Z"},{"alias_kind":"arxiv_version","alias_value":"2602.09805v2","created_at":"2026-05-20T00:05:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.09805","created_at":"2026-05-20T00:05:41Z"},{"alias_kind":"pith_short_12","alias_value":"FTWCIISVQFO4","created_at":"2026-05-20T00:05:41Z"},{"alias_kind":"pith_short_16","alias_value":"FTWCIISVQFO4V67U","created_at":"2026-05-20T00:05:41Z"},{"alias_kind":"pith_short_8","alias_value":"FTWCIISV","created_at":"2026-05-20T00:05:41Z"}],"graph_snapshots":[{"event_id":"sha256:707056fb853c17b9ff470adf2d202965898b41c7226c339e87f4f5e5d1460b52","target":"graph","created_at":"2026-05-20T00:05:41Z","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/2602.09805/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As reasoning LLMs increasingly trade tokens for accuracy through deliberation, search, and self-correction, a single accuracy score can no longer tell whether those tokens buy useful reasoning, recovery from hard instances, or unnecessary verbosity. We introduce a trace-optional evaluation protocol that exactly decomposes token efficiency using three observables available even for closed models: completion rate, conditional correctness given completion, and generated length. When instance-level workload metadata is available, we further normalize generated length by declared task-implied work ","authors_text":"Ali Ramezani-Kebrya, Arnoldo Frigessi, Benjamin Ricaud, Daniel Kaiser","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-10T14:09:18Z","title":"Beyond Accuracy: Decomposing the Reasoning Efficiency of LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.09805","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:f4ea2a4f3b84173cca7d7e53f77f3a5aa135924027a7374ccab4735886a1970e","target":"record","created_at":"2026-05-20T00:05:41Z","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":"02d2eb5c50362a01fbde10ae09994f29570c6d0f9c0eec65dfdb21ad01a61e6d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-02-10T14:09:18Z","title_canon_sha256":"cc0daca22f1f586ae53326ef8a843d884695b4fb59d472a843fd10f4ad82e61e"},"schema_version":"1.0","source":{"id":"2602.09805","kind":"arxiv","version":2}},"canonical_sha256":"2cec242255815dcafbf4ea2a3f1ee10ccd2096d4ba5dc8421ded7545db78bde9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2cec242255815dcafbf4ea2a3f1ee10ccd2096d4ba5dc8421ded7545db78bde9","first_computed_at":"2026-05-20T00:05:41.928426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:05:41.928426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6HzVdxTsGfpD41iCMBpw7ASJZM4QEv58SiKP88SBddEOhFoTnnHCzrTV0Wwz8K+D2lZYARrhp3CmLsRdrhsCAg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:05:41.928882Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.09805","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f4ea2a4f3b84173cca7d7e53f77f3a5aa135924027a7374ccab4735886a1970e","sha256:707056fb853c17b9ff470adf2d202965898b41c7226c339e87f4f5e5d1460b52"],"state_sha256":"e8f451dc4cbfade97718ae0d442530bfde8a8ea27b4fa374677d35e1c2da4f17"}