{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:4JUC6Y25SPTD5NKTS7NILQBC6E","short_pith_number":"pith:4JUC6Y25","schema_version":"1.0","canonical_sha256":"e2682f635d93e63eb55397da85c022f12fc1980ad2a55fd0fce79b8d01ff868b","source":{"kind":"arxiv","id":"2605.14953","version":1},"attestation_state":"computed","paper":{"title":"Efficient Online Conformal Selection with Limited Feedback","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Ali Sinop, Kamesh Munagala, Kostas Kollias, Sreenivas Gollapudi","submitted_at":"2026-05-14T15:22:46Z","abstract_excerpt":"We address the problem of conformal selection, where an agent must select a minimal subset of options to ensure that at least one ``success'' is identified with a pre-specified target probability $\\phi$. While traditional online conformal prediction focuses on maintaining validity for the observed sequence, minimizing the resource cost (efficiency) of such selections, especially under limited feedback, remains a significant challenge. In this work, we consider settings with the most limited ``bandit'' feedback, and demonstrate that the simple Adaptive Conformal Inference (ACI) update rule, whe"},"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":"2605.14953","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-14T15:22:46Z","cross_cats_sorted":[],"title_canon_sha256":"d9c572f3ccb190742c06c2a14d66d2a70e1ebad633f3cfcce60741adea430fe9","abstract_canon_sha256":"32fb8f28257184bdb060a54434602ef812c750331236b68f44607d0b58fa1503"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:38:55.366107Z","signature_b64":"8Yh2UZVyg9cjKXXGZo43UT6G9XkYpiSyW2n8FBbOAhkoWKydpPGEKNHw7Bm4oE0xdXjY+nhkmbg3LIWklKGPDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e2682f635d93e63eb55397da85c022f12fc1980ad2a55fd0fce79b8d01ff868b","last_reissued_at":"2026-05-17T23:38:55.365515Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:38:55.365515Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient Online Conformal Selection with Limited Feedback","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Ali Sinop, Kamesh Munagala, Kostas Kollias, Sreenivas Gollapudi","submitted_at":"2026-05-14T15:22:46Z","abstract_excerpt":"We address the problem of conformal selection, where an agent must select a minimal subset of options to ensure that at least one ``success'' is identified with a pre-specified target probability $\\phi$. While traditional online conformal prediction focuses on maintaining validity for the observed sequence, minimizing the resource cost (efficiency) of such selections, especially under limited feedback, remains a significant challenge. In this work, we consider settings with the most limited ``bandit'' feedback, and demonstrate that the simple Adaptive Conformal Inference (ACI) update rule, whe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.14953","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":""},"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":"2605.14953","created_at":"2026-05-17T23:38:55.365597+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.14953v1","created_at":"2026-05-17T23:38:55.365597+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.14953","created_at":"2026-05-17T23:38:55.365597+00:00"},{"alias_kind":"pith_short_12","alias_value":"4JUC6Y25SPTD","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_16","alias_value":"4JUC6Y25SPTD5NKT","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_8","alias_value":"4JUC6Y25","created_at":"2026-05-18T12:33:37.589309+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/4JUC6Y25SPTD5NKTS7NILQBC6E","json":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E.json","graph_json":"https://pith.science/api/pith-number/4JUC6Y25SPTD5NKTS7NILQBC6E/graph.json","events_json":"https://pith.science/api/pith-number/4JUC6Y25SPTD5NKTS7NILQBC6E/events.json","paper":"https://pith.science/paper/4JUC6Y25"},"agent_actions":{"view_html":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E","download_json":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E.json","view_paper":"https://pith.science/paper/4JUC6Y25","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.14953&json=true","fetch_graph":"https://pith.science/api/pith-number/4JUC6Y25SPTD5NKTS7NILQBC6E/graph.json","fetch_events":"https://pith.science/api/pith-number/4JUC6Y25SPTD5NKTS7NILQBC6E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E/action/storage_attestation","attest_author":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E/action/author_attestation","sign_citation":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E/action/citation_signature","submit_replication":"https://pith.science/pith/4JUC6Y25SPTD5NKTS7NILQBC6E/action/replication_record"}},"created_at":"2026-05-17T23:38:55.365597+00:00","updated_at":"2026-05-17T23:38:55.365597+00:00"}