{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:46QXR7ISUIDCCM7QOWZFFVCRMU","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":"55839bc9b727afedae3aea639c88fbc406555f1edf8ecaf9a65cee7ce0f8479b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-18T17:41:28Z","title_canon_sha256":"ebefc7e066ebe33d7d778855ce6d108d3713141e08cfdffbede8eb10d90e6584"},"schema_version":"1.0","source":{"id":"2506.15662","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15662","created_at":"2026-07-05T11:23:48Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15662v1","created_at":"2026-07-05T11:23:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15662","created_at":"2026-07-05T11:23:48Z"},{"alias_kind":"pith_short_12","alias_value":"46QXR7ISUIDC","created_at":"2026-07-05T11:23:48Z"},{"alias_kind":"pith_short_16","alias_value":"46QXR7ISUIDCCM7Q","created_at":"2026-07-05T11:23:48Z"},{"alias_kind":"pith_short_8","alias_value":"46QXR7IS","created_at":"2026-07-05T11:23:48Z"}],"graph_snapshots":[{"event_id":"sha256:289aa662a5a26b419a15d6f956de11dbd406774e3d185f776008064a4c79c15b","target":"graph","created_at":"2026-07-05T11:23:48Z","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/2506.15662/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models excel at many tasks but still struggle with consistent, robust reasoning. We introduce Cohort-based Consistency Learning (CC-Learn), a reinforcement learning framework that improves the reliability of LLM reasoning by training on cohorts of similar questions derived from shared programmatic abstractions. To enforce cohort-level consistency, we define a composite objective combining cohort accuracy, a retrieval bonus for effective problem decomposition, and a rejection penalty for trivial or invalid lookups that reinforcement learning can directly optimize, unlike supervis","authors_text":"Avneet Ahuja, Ben Zhou, Jacob Dineen, Ming Shen, Shaswat Shrivastava, Shijie Lu, Xiao Ye, Zhaonan Li, Zhikun Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-18T17:41:28Z","title":"CC-LEARN: Cohort-based Consistency Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15662","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:c0751623eae5fb79ed51ff9544e24ace783e2ab523fdca3fd131a65a3c35797d","target":"record","created_at":"2026-07-05T11:23:48Z","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":"55839bc9b727afedae3aea639c88fbc406555f1edf8ecaf9a65cee7ce0f8479b","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-18T17:41:28Z","title_canon_sha256":"ebefc7e066ebe33d7d778855ce6d108d3713141e08cfdffbede8eb10d90e6584"},"schema_version":"1.0","source":{"id":"2506.15662","kind":"arxiv","version":1}},"canonical_sha256":"e7a178fd12a2062133f075b252d451653d1ae476b4b539ee720559c7e2080cbc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7a178fd12a2062133f075b252d451653d1ae476b4b539ee720559c7e2080cbc","first_computed_at":"2026-07-05T11:23:48.009519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:48.009519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NByf0o/r6x8RZi3Ncxdt5bh6HCveEku0OJoaOg6U28Fl7rhdhGO1FR73Kx/fdHMH3G2igOAVPeYLZrrTGxbODA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:48.010023Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15662","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0751623eae5fb79ed51ff9544e24ace783e2ab523fdca3fd131a65a3c35797d","sha256:289aa662a5a26b419a15d6f956de11dbd406774e3d185f776008064a4c79c15b"],"state_sha256":"3d4d9eaa95e236001a71e466ae2a29448005fa31926c315d14dea5b4da6aa084"}