{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:UKFOKAYVUD5FRZ5YRRF4AGPNWI","short_pith_number":"pith:UKFOKAYV","schema_version":"1.0","canonical_sha256":"a28ae50315a0fa58e7b88c4bc019edb20c8a440acf92a6362ad4830ea35a53f8","source":{"kind":"arxiv","id":"2507.00092","version":1},"attestation_state":"computed","paper":{"title":"Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Basab Jha, Choi Donghyuk, Firoj Paudel, Ujjwal Puri, Wang Junhao, Zhang Yuting","submitted_at":"2025-06-30T09:53:41Z","abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable capabilities at solving complex reasoning tasks with Chain-of-Thought (CoT) prompting, but their decision-making processes remain somewhat blackbox. We introduce textbfinverse reasoning, a novel paradigm enabling LLMs to decompose and explain their own reasoning chains post-hoc. Our approach, used in SAGE-nano, a 4-billion-parameter reasoning model, employs a metacognitive structure that reflects back via attention processes to identify major decision points and generate explanations of reasoning choices. While typical CoT approaches ar"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.00092","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-30T09:53:41Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"5bc36e752cc00cae959ff6b6d2ad66e132e0de0634fc58e24950bc7e5c6f6281","abstract_canon_sha256":"9db99e353b786bea24b22a25e5bf34811583472244e708975a7578d563d10abb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:36.841128Z","signature_b64":"Tvurr9fd3kEQED6wVXH6Jqb2jDoTInk8Bz1kWyaw+aGiVgc0ALcUnD+9qZmB+On3GRAIU+7FAscD842/Qe5LAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a28ae50315a0fa58e7b88c4bc019edb20c8a440acf92a6362ad4830ea35a53f8","last_reissued_at":"2026-07-05T11:29:36.840560Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:36.840560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.AI","authors_text":"Basab Jha, Choi Donghyuk, Firoj Paudel, Ujjwal Puri, Wang Junhao, Zhang Yuting","submitted_at":"2025-06-30T09:53:41Z","abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable capabilities at solving complex reasoning tasks with Chain-of-Thought (CoT) prompting, but their decision-making processes remain somewhat blackbox. We introduce textbfinverse reasoning, a novel paradigm enabling LLMs to decompose and explain their own reasoning chains post-hoc. Our approach, used in SAGE-nano, a 4-billion-parameter reasoning model, employs a metacognitive structure that reflects back via attention processes to identify major decision points and generate explanations of reasoning choices. While typical CoT approaches ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.00092","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.00092/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.00092","created_at":"2026-07-05T11:29:36.840628+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.00092v1","created_at":"2026-07-05T11:29:36.840628+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.00092","created_at":"2026-07-05T11:29:36.840628+00:00"},{"alias_kind":"pith_short_12","alias_value":"UKFOKAYVUD5F","created_at":"2026-07-05T11:29:36.840628+00:00"},{"alias_kind":"pith_short_16","alias_value":"UKFOKAYVUD5FRZ5Y","created_at":"2026-07-05T11:29:36.840628+00:00"},{"alias_kind":"pith_short_8","alias_value":"UKFOKAYV","created_at":"2026-07-05T11:29:36.840628+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI","json":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI.json","graph_json":"https://pith.science/api/pith-number/UKFOKAYVUD5FRZ5YRRF4AGPNWI/graph.json","events_json":"https://pith.science/api/pith-number/UKFOKAYVUD5FRZ5YRRF4AGPNWI/events.json","paper":"https://pith.science/paper/UKFOKAYV"},"agent_actions":{"view_html":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI","download_json":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI.json","view_paper":"https://pith.science/paper/UKFOKAYV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.00092&json=true","fetch_graph":"https://pith.science/api/pith-number/UKFOKAYVUD5FRZ5YRRF4AGPNWI/graph.json","fetch_events":"https://pith.science/api/pith-number/UKFOKAYVUD5FRZ5YRRF4AGPNWI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI/action/storage_attestation","attest_author":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI/action/author_attestation","sign_citation":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI/action/citation_signature","submit_replication":"https://pith.science/pith/UKFOKAYVUD5FRZ5YRRF4AGPNWI/action/replication_record"}},"created_at":"2026-07-05T11:29:36.840628+00:00","updated_at":"2026-07-05T11:29:36.840628+00:00"}