{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6KHPZAZ6Q6MIDZERZ5WJ7S4D4P","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":"5a50ea341fced35e7b9584b909b6b6bb697c50302f32fad7cb17923cf981920c","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2026-07-07T16:46:50Z","title_canon_sha256":"4ffddf8661a61ffa3ec2fff33677a6605e33298496d2513c5c1c66e70b1b4c48"},"schema_version":"1.0","source":{"id":"2607.28655","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.28655","created_at":"2026-08-03T00:11:55Z"},{"alias_kind":"arxiv_version","alias_value":"2607.28655v1","created_at":"2026-08-03T00:11:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.28655","created_at":"2026-08-03T00:11:55Z"},{"alias_kind":"pith_short_12","alias_value":"6KHPZAZ6Q6MI","created_at":"2026-08-03T00:11:55Z"},{"alias_kind":"pith_short_16","alias_value":"6KHPZAZ6Q6MIDZER","created_at":"2026-08-03T00:11:55Z"},{"alias_kind":"pith_short_8","alias_value":"6KHPZAZ6","created_at":"2026-08-03T00:11:55Z"}],"graph_snapshots":[{"event_id":"sha256:1597c32ba0993f95ff0a9df79d76ccc188a5aa7596ee77c2a1cfc54c23898a4b","target":"graph","created_at":"2026-08-03T00:11:55Z","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/2607.28655/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Small-area estimation (SAE) enables researchers and policymakers to identify spatial disparities in health outcomes, but survey-based SAE products carry an inherent lag. Gold-standard estimates such as CDC PLACES are released roughly two years after the underlying survey data are collected, limiting their use for time-sensitive decision-making. This study evaluates the potential for machine learning (ML) to serve as a surrogate, learning the relationship between frequently updated area-level predictors and existing SAE outputs to generate timely, comparable estimates in years when SAE from sur","authors_text":"Aanya Gupta, Emma Von Hoene, Sara Von Hoene, Szandra P\\'eter, Taylor Anderson","cross_cats":["cs.LG","stat.AP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2026-07-07T16:46:50Z","title":"Geographically Weighted Surrogate Models for Rapid Small-Area Chronic Disease Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.28655","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":"sha256:6437a785552cccb08f9e5a27ed67b55688cd2799affa4083c990e22e1fcc0ffd","target":"record","created_at":"2026-08-03T00:11:55Z","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":"5a50ea341fced35e7b9584b909b6b6bb697c50302f32fad7cb17923cf981920c","cross_cats_sorted":["cs.LG","stat.AP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2026-07-07T16:46:50Z","title_canon_sha256":"4ffddf8661a61ffa3ec2fff33677a6605e33298496d2513c5c1c66e70b1b4c48"},"schema_version":"1.0","source":{"id":"2607.28655","kind":"arxiv","version":1}},"canonical_sha256":"f28efc833e879881e491cf6c9fcb83e3e7b5cca627f301dae9162acd01b8cb7e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f28efc833e879881e491cf6c9fcb83e3e7b5cca627f301dae9162acd01b8cb7e","first_computed_at":"2026-08-03T00:11:55.714259Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-03T00:11:55.714259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N9lXekxzvTFhSfJ9MTk5ZM0kfo+FsrVdts9LoU4jsQ9YHqYwa8syCcB3lTWAj3B1r+x2iCjZiLUhxF1xowBlAQ==","signature_status":"signed_v1","signed_at":"2026-08-03T00:11:55.716446Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.28655","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6437a785552cccb08f9e5a27ed67b55688cd2799affa4083c990e22e1fcc0ffd","sha256:1597c32ba0993f95ff0a9df79d76ccc188a5aa7596ee77c2a1cfc54c23898a4b"],"state_sha256":"b7ec40dce8dd8efef33de11c06769874f16f79c8919b28a3ef5f2cd3dc83a6c3"}