{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TGZMFK2UFDPLLK3NJIF6VOV3OR","short_pith_number":"pith:TGZMFK2U","schema_version":"1.0","canonical_sha256":"99b2c2ab5428deb5ab6d4a0beababb747d321eebf97c9cfc3f61201833dd309e","source":{"kind":"arxiv","id":"2608.01287","version":1},"attestation_state":"computed","paper":{"title":"Active Regression for Single-Index Models with Unknown Link Functions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DS","authors_text":"Chansophea Wathanak In, Wai Ming Tai, Xuan Wu, Yi Li","submitted_at":"2026-08-02T14:53:41Z","abstract_excerpt":"This paper studies active regression for single-index models under general $\\ell_p$-loss with an unknown $1$-Lipschitz link function $f$, formulated as $\\min_{f,x} \\|f(Ax)-b\\|_p^p$ with full access to $A$ but coordinate-query access to $b$. Prior work established upper bounds for known link functions for all $p\\geq 1$ and for unknown link functions only in the $p=2$ case, together with lower bounds for $p\\leq 2$. This work addresses the more challenging setting of unknown link functions and general $p \\geq 1$. A non-adaptive sampling algorithm is presented that achieves a $(1+\\epsilon)$-approx"},"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":"2608.01287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DS","submitted_at":"2026-08-02T14:53:41Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"be621b7f4baa05a94038da7ca75092d356261d38e94d5b951a822791709b1d8c","abstract_canon_sha256":"dc7182b6d3c755649fb9e0f6b2c80f0849c44988255eb38504e2973cd53d5e32"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:03:02.609290Z","signature_b64":"80vKldEd69BjMEk8B8sJmljqJCBfEPQGeb16uvjL54JFBx4zkcb0qOsRSefquYrPT9HbqfjJ6uobpVb4bFDZCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99b2c2ab5428deb5ab6d4a0beababb747d321eebf97c9cfc3f61201833dd309e","last_reissued_at":"2026-08-04T02:03:02.607444Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:03:02.607444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Active Regression for Single-Index Models with Unknown Link Functions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.DS","authors_text":"Chansophea Wathanak In, Wai Ming Tai, Xuan Wu, Yi Li","submitted_at":"2026-08-02T14:53:41Z","abstract_excerpt":"This paper studies active regression for single-index models under general $\\ell_p$-loss with an unknown $1$-Lipschitz link function $f$, formulated as $\\min_{f,x} \\|f(Ax)-b\\|_p^p$ with full access to $A$ but coordinate-query access to $b$. Prior work established upper bounds for known link functions for all $p\\geq 1$ and for unknown link functions only in the $p=2$ case, together with lower bounds for $p\\leq 2$. This work addresses the more challenging setting of unknown link functions and general $p \\geq 1$. A non-adaptive sampling algorithm is presented that achieves a $(1+\\epsilon)$-approx"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.01287","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/2608.01287/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":"2608.01287","created_at":"2026-08-04T02:03:02.609050+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.01287v1","created_at":"2026-08-04T02:03:02.609050+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.01287","created_at":"2026-08-04T02:03:02.609050+00:00"},{"alias_kind":"pith_short_12","alias_value":"TGZMFK2UFDPL","created_at":"2026-08-04T02:03:02.609050+00:00"},{"alias_kind":"pith_short_16","alias_value":"TGZMFK2UFDPLLK3N","created_at":"2026-08-04T02:03:02.609050+00:00"},{"alias_kind":"pith_short_8","alias_value":"TGZMFK2U","created_at":"2026-08-04T02:03:02.609050+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/TGZMFK2UFDPLLK3NJIF6VOV3OR","json":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR.json","graph_json":"https://pith.science/api/pith-number/TGZMFK2UFDPLLK3NJIF6VOV3OR/graph.json","events_json":"https://pith.science/api/pith-number/TGZMFK2UFDPLLK3NJIF6VOV3OR/events.json","paper":"https://pith.science/paper/TGZMFK2U"},"agent_actions":{"view_html":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR","download_json":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR.json","view_paper":"https://pith.science/paper/TGZMFK2U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.01287&json=true","fetch_graph":"https://pith.science/api/pith-number/TGZMFK2UFDPLLK3NJIF6VOV3OR/graph.json","fetch_events":"https://pith.science/api/pith-number/TGZMFK2UFDPLLK3NJIF6VOV3OR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR/action/storage_attestation","attest_author":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR/action/author_attestation","sign_citation":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR/action/citation_signature","submit_replication":"https://pith.science/pith/TGZMFK2UFDPLLK3NJIF6VOV3OR/action/replication_record"}},"created_at":"2026-08-04T02:03:02.609050+00:00","updated_at":"2026-08-04T02:03:02.609050+00:00"}