{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:RRNYQNVYBYEHJ3PPJ23GGQ2ASU","short_pith_number":"pith:RRNYQNVY","schema_version":"1.0","canonical_sha256":"8c5b8836b80e0874edef4eb6634340953702cd2da1b060fa69288709e7fea07e","source":{"kind":"arxiv","id":"2608.05545","version":1},"attestation_state":"computed","paper":{"title":"Vibe Compiler: A Research-Logic Synthesis Tool That Runs without Prompt Engineering -Toward Enhancing Metacognition for Sustaining Agency in the Age of Generative AI-","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CY","authors_text":"Kento Koike, Machi Shimmei, Riichiro Mizoguchi, Tomoki Aburatani","submitted_at":"2026-08-06T02:51:03Z","abstract_excerpt":"Generative AI used as a capable servant has greatly accelerated intellectual work, but it also risks eroding human epistemic agency by encouraging uncritical acceptance of AI-generated reasoning. This creates a need for mechanisms that preserve human agency by augmenting metacognition during AI-assisted intellectual work. To address this, we propose the Synthesis-Analysis Reciprocity Model, which views intellectual construction as a reciprocal interaction between Synthesis, which combines components into an artifact, and Analysis, which critically evaluates them against objective indicators an"},"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":"2608.05545","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2026-08-06T02:51:03Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"2d1597bf60e5ce60779803d136770cd1569bca8a99e4cf4c288382dcc0789e48","abstract_canon_sha256":"081f9d990c4a9b42cb11954c0103507623d00ea24248b08858f9abd511da0b50"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T00:48:41.567010Z","signature_b64":"y1uTrVPwcVItW6RF0iMpxW8pzbUt3sA6EPSzZ1t0B359y5ZJ2EaC4oO/foF1R0Cv1ErAIPIPVDEF8MIEaPu3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c5b8836b80e0874edef4eb6634340953702cd2da1b060fa69288709e7fea07e","last_reissued_at":"2026-08-07T00:48:41.565574Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T00:48:41.565574Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Vibe Compiler: A Research-Logic Synthesis Tool That Runs without Prompt Engineering -Toward Enhancing Metacognition for Sustaining Agency in the Age of Generative AI-","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CY","authors_text":"Kento Koike, Machi Shimmei, Riichiro Mizoguchi, Tomoki Aburatani","submitted_at":"2026-08-06T02:51:03Z","abstract_excerpt":"Generative AI used as a capable servant has greatly accelerated intellectual work, but it also risks eroding human epistemic agency by encouraging uncritical acceptance of AI-generated reasoning. This creates a need for mechanisms that preserve human agency by augmenting metacognition during AI-assisted intellectual work. To address this, we propose the Synthesis-Analysis Reciprocity Model, which views intellectual construction as a reciprocal interaction between Synthesis, which combines components into an artifact, and Analysis, which critically evaluates them against objective indicators an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.05545","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/2608.05545/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":"2608.05545","created_at":"2026-08-07T00:48:41.566966+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.05545v1","created_at":"2026-08-07T00:48:41.566966+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.05545","created_at":"2026-08-07T00:48:41.566966+00:00"},{"alias_kind":"pith_short_12","alias_value":"RRNYQNVYBYEH","created_at":"2026-08-07T00:48:41.566966+00:00"},{"alias_kind":"pith_short_16","alias_value":"RRNYQNVYBYEHJ3PP","created_at":"2026-08-07T00:48:41.566966+00:00"},{"alias_kind":"pith_short_8","alias_value":"RRNYQNVY","created_at":"2026-08-07T00:48:41.566966+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/RRNYQNVYBYEHJ3PPJ23GGQ2ASU","json":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU.json","graph_json":"https://pith.science/api/pith-number/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/graph.json","events_json":"https://pith.science/api/pith-number/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/events.json","paper":"https://pith.science/paper/RRNYQNVY"},"agent_actions":{"view_html":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU","download_json":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU.json","view_paper":"https://pith.science/paper/RRNYQNVY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.05545&json=true","fetch_graph":"https://pith.science/api/pith-number/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/graph.json","fetch_events":"https://pith.science/api/pith-number/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/action/storage_attestation","attest_author":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/action/author_attestation","sign_citation":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/action/citation_signature","submit_replication":"https://pith.science/pith/RRNYQNVYBYEHJ3PPJ23GGQ2ASU/action/replication_record"}},"created_at":"2026-08-07T00:48:41.566966+00:00","updated_at":"2026-08-07T00:48:41.566966+00:00"}