{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:KWD5THMXVXLJQNR2XOB7EBUWSO","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":"c862da7eabe1334ff9570fb5a97e110c93663357f3b4021afb2a78a138701773","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-29T04:37:49Z","title_canon_sha256":"23f32b1a54d4911ad9b40cb8aaa4035456bf5166734434fe3070579f0fe0570b"},"schema_version":"1.0","source":{"id":"2605.30832","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30832","created_at":"2026-06-01T01:03:19Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30832v1","created_at":"2026-06-01T01:03:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30832","created_at":"2026-06-01T01:03:19Z"},{"alias_kind":"pith_short_12","alias_value":"KWD5THMXVXLJ","created_at":"2026-06-01T01:03:19Z"},{"alias_kind":"pith_short_16","alias_value":"KWD5THMXVXLJQNR2","created_at":"2026-06-01T01:03:19Z"},{"alias_kind":"pith_short_8","alias_value":"KWD5THMX","created_at":"2026-06-01T01:03:19Z"}],"graph_snapshots":[{"event_id":"sha256:adae746b56e15ec3f75adebf39d73bab9590a0d6a2a7f71dbc536b8db4b676aa","target":"graph","created_at":"2026-06-01T01:03:19Z","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/2605.30832/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in Large Reasoning Models have significantly improved chain-of-thought (CoT) capabilities via reinforcement learning (RL). However, generated reasoning chains frequently suffer from structural redundancy (i.e., \\emph{overthinking}), incurring high computational overhead without improving answer correctness. Existing mitigation strategies typically rely on token-uniform length penalties, which provide coarse, segment-agnostic pressure toward shorter outputs and can inadvertently suppress useful reasoning alongside redundancy. To address this, we demonstrate that inefficiency con","authors_text":"Jian Yao, Kay Chen Tan, Ran Cheng, Xiongcai Luo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-29T04:37:49Z","title":"SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30832","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":"sha256:72cb6cb20e17fb63d7cdcbf9d013f265df0380e0cb3318f407f464982869e207","target":"record","created_at":"2026-06-01T01:03:19Z","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":"c862da7eabe1334ff9570fb5a97e110c93663357f3b4021afb2a78a138701773","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-05-29T04:37:49Z","title_canon_sha256":"23f32b1a54d4911ad9b40cb8aaa4035456bf5166734434fe3070579f0fe0570b"},"schema_version":"1.0","source":{"id":"2605.30832","kind":"arxiv","version":1}},"canonical_sha256":"5587d99d97add698363abb83f2069693a69cbe540e7f6b074f2b9dbcb7aeb32c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5587d99d97add698363abb83f2069693a69cbe540e7f6b074f2b9dbcb7aeb32c","first_computed_at":"2026-06-01T01:03:19.799020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:03:19.799020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ssZXuCyXSx5LrNMLP/DtCITKg60UzYqXFFqpabNWprXH41aH5oX920zhM2+AADxPtodF1NX/nVgdMjMyjeuICw==","signature_status":"signed_v1","signed_at":"2026-06-01T01:03:19.801161Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30832","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72cb6cb20e17fb63d7cdcbf9d013f265df0380e0cb3318f407f464982869e207","sha256:adae746b56e15ec3f75adebf39d73bab9590a0d6a2a7f71dbc536b8db4b676aa"],"state_sha256":"356db0fd78ec9994d5f8a58661fc3af653d2023eebc2fd1317313964b8c776b9"}