{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6O2EWFNBIDXIJKS33G7BBNOGZJ","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":"9dda98c8ee33eb6bdce8f88e991cff43e2ac517c467378171f234264bb2878ba","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-30T14:01:45Z","title_canon_sha256":"0ffe4b3f624c8b91d4ad5688090400d6b65dcb933d2994e5b5cfba8f06043bde"},"schema_version":"1.0","source":{"id":"2504.21659","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.21659","created_at":"2026-07-05T11:06:31Z"},{"alias_kind":"arxiv_version","alias_value":"2504.21659v2","created_at":"2026-07-05T11:06:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.21659","created_at":"2026-07-05T11:06:31Z"},{"alias_kind":"pith_short_12","alias_value":"6O2EWFNBIDXI","created_at":"2026-07-05T11:06:31Z"},{"alias_kind":"pith_short_16","alias_value":"6O2EWFNBIDXIJKS3","created_at":"2026-07-05T11:06:31Z"},{"alias_kind":"pith_short_8","alias_value":"6O2EWFNB","created_at":"2026-07-05T11:06:31Z"}],"graph_snapshots":[{"event_id":"sha256:8bbe1b98a0fd1b83d1dcaa7994c9d56077c7adc53299d4878c80b7a55f8b2108","target":"graph","created_at":"2026-07-05T11:06:31Z","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/2504.21659/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, long-thought reasoning models achieve strong performance on complex reasoning tasks, but often incur substantial inference overhead, making efficiency a critical concern. Our empirical analysis reveals that the benefit of using Long-CoT varies across problems: while some problems require elaborate reasoning, others show no improvement, or even degraded accuracy. This motivates adaptive reasoning strategies that tailor reasoning depth to the input. However, prior work primarily reduces redundancy within long reasoning paths, limiting exploration of more efficient strategies beyond the","authors_text":"Dacheng Tao, Haiying He, Haotian Luo, Jinluan Yang, Li Shen, Naiqiang Tan, Rui Liu, Xiaochun Cao, Yibo Wang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-30T14:01:45Z","title":"Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.21659","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":"sha256:9d40e6715ffbe32bb427cc41ef9fc74c71c8fde814c8fee3284dae64dbae1274","target":"record","created_at":"2026-07-05T11:06:31Z","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":"9dda98c8ee33eb6bdce8f88e991cff43e2ac517c467378171f234264bb2878ba","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-04-30T14:01:45Z","title_canon_sha256":"0ffe4b3f624c8b91d4ad5688090400d6b65dcb933d2994e5b5cfba8f06043bde"},"schema_version":"1.0","source":{"id":"2504.21659","kind":"arxiv","version":2}},"canonical_sha256":"f3b44b15a140ee84aa5bd9be10b5c6ca58b1f317a31e2a712e41e361518eef16","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3b44b15a140ee84aa5bd9be10b5c6ca58b1f317a31e2a712e41e361518eef16","first_computed_at":"2026-07-05T11:06:31.297621Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:31.297621Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eTKJ6KNKyJxYBoniCIEPjYx31jaUg/kJcyH070qcBx1raIqVOLV8hPGXWkB30QeOJw/44pn5dz5OI7unqzFRCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:31.298140Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.21659","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d40e6715ffbe32bb427cc41ef9fc74c71c8fde814c8fee3284dae64dbae1274","sha256:8bbe1b98a0fd1b83d1dcaa7994c9d56077c7adc53299d4878c80b7a55f8b2108"],"state_sha256":"84d435775c139de2a7ff057f28fec28b591344da6cc539f8c0a38c19d2944c75"}