{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZGFCJ6HR7UCWVCXRCCELXJEF5P","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"86b5d3616a92f8fa18e77aa349e3cbbc01e02bfaae0ceea17eecf310a96c3dd9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-06-02T18:36:46Z","title_canon_sha256":"3954522980db71aeb787716e017f5a8e7ec18443a2b996699ce36fc876f16050"},"schema_version":"1.0","source":{"id":"2606.04128","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04128","created_at":"2026-06-04T00:06:51Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04128v1","created_at":"2026-06-04T00:06:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04128","created_at":"2026-06-04T00:06:51Z"},{"alias_kind":"pith_short_12","alias_value":"ZGFCJ6HR7UCW","created_at":"2026-06-04T00:06:51Z"},{"alias_kind":"pith_short_16","alias_value":"ZGFCJ6HR7UCWVCXR","created_at":"2026-06-04T00:06:51Z"},{"alias_kind":"pith_short_8","alias_value":"ZGFCJ6HR","created_at":"2026-06-04T00:06:51Z"}],"graph_snapshots":[{"event_id":"sha256:498b1a0ced7cd15e1305baa1af1afcf3e1bdff56dc4bf82926c66e52fc0789eb","target":"graph","created_at":"2026-06-04T00:06:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.04128/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper studies quantile regression in a data-limited setting where the gold-standard outcome is available only for a limited number of observations, whereas a surrogate outcome is widely available. Such settings are becoming increasingly common with the availability of low-cost predictions from modern AI, motivating a growing line of research on \"prediction-powered inference,\" for improved statistical inference. Naively extending this framework to quantile regression, however, raises two challenges: computational difficulties due to the discontinuity of the subgradient, and overly conserva","authors_text":"Jimin Ding, Shota Takeishi, Xuming He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-06-02T18:36:46Z","title":"On prediction-powered inference for quantile regression via convolution smoothing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04128","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:904436f79e35d617960e8300098a7e8fa33fbe3d2bbccd0e1aab218923fff9e2","target":"record","created_at":"2026-06-04T00:06:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"86b5d3616a92f8fa18e77aa349e3cbbc01e02bfaae0ceea17eecf310a96c3dd9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-06-02T18:36:46Z","title_canon_sha256":"3954522980db71aeb787716e017f5a8e7ec18443a2b996699ce36fc876f16050"},"schema_version":"1.0","source":{"id":"2606.04128","kind":"arxiv","version":1}},"canonical_sha256":"c98a24f8f1fd056a8af11088bba485ebcbe19f9e00aa5fd1a4ff117e269f561a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c98a24f8f1fd056a8af11088bba485ebcbe19f9e00aa5fd1a4ff117e269f561a","first_computed_at":"2026-06-04T00:06:51.362977Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T00:06:51.362977Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4qbWHy3CCMvw3fUIaVvdOuTOdfq+mfCT4Un/G8VA1AQNbYFCSjKqy3C3hC1VVbLuav8SdT5bvmiS3ZMfCC/JDg==","signature_status":"signed_v1","signed_at":"2026-06-04T00:06:51.363367Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.04128","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:904436f79e35d617960e8300098a7e8fa33fbe3d2bbccd0e1aab218923fff9e2","sha256:498b1a0ced7cd15e1305baa1af1afcf3e1bdff56dc4bf82926c66e52fc0789eb"],"state_sha256":"375553603bc32381331a7249c0fa9018d80800985d8695cc762cf34e2d6f27aa"}