{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:7CXA5ZRQA4JH7CTZKJI7OYE3ZQ","short_pith_number":"pith:7CXA5ZRQ","schema_version":"1.0","canonical_sha256":"f8ae0ee63007127f8a795251f7609bcc390a7dc48f763e2bae19d31ece7ff04a","source":{"kind":"arxiv","id":"2607.01927","version":1},"attestation_state":"computed","paper":{"title":"TUDUM: A Turkish-Thinking Reasoning Pipeline for Qwen3.5-27B","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bahaeddin Turkoglu, Baran Bingol","submitted_at":"2026-07-02T09:22:36Z","abstract_excerpt":"This paper presents TUDUM (T\\\"urk\\c{c}e D\\\"u\\c{s}\\\"unen \\\"Uretken Model), a project pipeline for adapting a Qwen-family 27B thinking model toward Turkish reasoning. The central problem is not only to answer Turkish prompts in Turkish, but to make the explicit reasoning trace itself Turkish. A thinking model may translate a Turkish prompt into an English-centered internal or visible scratchpad, solve the problem mostly in English, and only localize the final answer. TUDUM instead treats the generated <think>...</think> block as a trainable behavior. The pipeline starts from the project base che"},"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":"2607.01927","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-07-02T09:22:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"34e18eabeffb587713b261ac8cea3c712bdba6d0b7ff88a7c5cf06442f001cb9","abstract_canon_sha256":"1a89163a56806a11aa84ae0300725e0c77a760cbb3a3bd33e562bf194c25ffd2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:33.655490Z","signature_b64":"mRgYfAy1tGUnw/RcxYAom+RU8UgbVwbRwFK8qLClvcmrxLFp9HyWFYZR1qbjDd3fAUseAwe62q9QyoHPf4NLAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8ae0ee63007127f8a795251f7609bcc390a7dc48f763e2bae19d31ece7ff04a","last_reissued_at":"2026-07-03T01:17:33.655110Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:33.655110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TUDUM: A Turkish-Thinking Reasoning Pipeline for Qwen3.5-27B","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Bahaeddin Turkoglu, Baran Bingol","submitted_at":"2026-07-02T09:22:36Z","abstract_excerpt":"This paper presents TUDUM (T\\\"urk\\c{c}e D\\\"u\\c{s}\\\"unen \\\"Uretken Model), a project pipeline for adapting a Qwen-family 27B thinking model toward Turkish reasoning. The central problem is not only to answer Turkish prompts in Turkish, but to make the explicit reasoning trace itself Turkish. A thinking model may translate a Turkish prompt into an English-centered internal or visible scratchpad, solve the problem mostly in English, and only localize the final answer. TUDUM instead treats the generated <think>...</think> block as a trainable behavior. The pipeline starts from the project base che"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01927","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/2607.01927/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":"2607.01927","created_at":"2026-07-03T01:17:33.655175+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.01927v1","created_at":"2026-07-03T01:17:33.655175+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01927","created_at":"2026-07-03T01:17:33.655175+00:00"},{"alias_kind":"pith_short_12","alias_value":"7CXA5ZRQA4JH","created_at":"2026-07-03T01:17:33.655175+00:00"},{"alias_kind":"pith_short_16","alias_value":"7CXA5ZRQA4JH7CTZ","created_at":"2026-07-03T01:17:33.655175+00:00"},{"alias_kind":"pith_short_8","alias_value":"7CXA5ZRQ","created_at":"2026-07-03T01:17:33.655175+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/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ","json":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ.json","graph_json":"https://pith.science/api/pith-number/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/graph.json","events_json":"https://pith.science/api/pith-number/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/events.json","paper":"https://pith.science/paper/7CXA5ZRQ"},"agent_actions":{"view_html":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ","download_json":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ.json","view_paper":"https://pith.science/paper/7CXA5ZRQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.01927&json=true","fetch_graph":"https://pith.science/api/pith-number/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/graph.json","fetch_events":"https://pith.science/api/pith-number/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/action/storage_attestation","attest_author":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/action/author_attestation","sign_citation":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/action/citation_signature","submit_replication":"https://pith.science/pith/7CXA5ZRQA4JH7CTZKJI7OYE3ZQ/action/replication_record"}},"created_at":"2026-07-03T01:17:33.655175+00:00","updated_at":"2026-07-03T01:17:33.655175+00:00"}