{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:2TGI77NG45PRZZL3TW7PIWOWCI","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":"ea82e571f82e95620d1ac400dcd147740a714f2fd7195c76c2932180d2c9b61e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-07-11T09:57:29Z","title_canon_sha256":"41af73d03d497855ac03a3834bbc57072f618a82e83b8612f9fc460989ed0f7e"},"schema_version":"1.0","source":{"id":"1807.04516","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.04516","created_at":"2026-05-18T00:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"1807.04516v1","created_at":"2026-05-18T00:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.04516","created_at":"2026-05-18T00:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"2TGI77NG45PR","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_16","alias_value":"2TGI77NG45PRZZL3","created_at":"2026-05-18T12:32:02Z"},{"alias_kind":"pith_short_8","alias_value":"2TGI77NG","created_at":"2026-05-18T12:32:02Z"}],"graph_snapshots":[{"event_id":"sha256:f45eead09fd22a9c9d9cf17248bb4a9f0cdc312dcc9165eb71438207d80dcd8d","target":"graph","created_at":"2026-05-18T00:10:53Z","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"},"paper":{"abstract_excerpt":"Most research on regression discontinuity designs (RDDs) has focused on univariate cases, where only those units with a \"forcing\" variable on one side of a threshold value receive a treatment. Geographical regression discontinuity designs (GeoRDDs) extend the RDD to multivariate settings with spatial forcing variables. We propose a framework for analysing GeoRDDs, which we implement using Gaussian process regression. This yields a Bayesian posterior distribution of the treatment effect at every point along the border. We address nuances of having a functional estimand defind on a border with p","authors_text":"Luke Bornn, Luke Miratrix, Maxime Rischard, Zach Branson","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-07-11T09:57:29Z","title":"A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.04516","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":"sha256:3dd5bf3cf4a9c0ef02382b37078117feb74b93a731b577d09c37ef0af08c1d00","target":"record","created_at":"2026-05-18T00:10:53Z","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":"ea82e571f82e95620d1ac400dcd147740a714f2fd7195c76c2932180d2c9b61e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-07-11T09:57:29Z","title_canon_sha256":"41af73d03d497855ac03a3834bbc57072f618a82e83b8612f9fc460989ed0f7e"},"schema_version":"1.0","source":{"id":"1807.04516","kind":"arxiv","version":1}},"canonical_sha256":"d4cc8ffda6e75f1ce57b9dbef459d61239b37dc3a76d47f1f096ccd2a253f30e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4cc8ffda6e75f1ce57b9dbef459d61239b37dc3a76d47f1f096ccd2a253f30e","first_computed_at":"2026-05-18T00:10:53.227745Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:53.227745Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1L4jeTBqVPswsqk4rokMP6ASfeQVZ8yrG3QJa55cTf6xo4MsJEggmfwnqSqGyQxflIw4SaFcUkOHxi7RQHkRBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:53.228434Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.04516","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3dd5bf3cf4a9c0ef02382b37078117feb74b93a731b577d09c37ef0af08c1d00","sha256:f45eead09fd22a9c9d9cf17248bb4a9f0cdc312dcc9165eb71438207d80dcd8d"],"state_sha256":"1123afbf0fcbb2c2e2f55fda6216f2c6b6b27805f780e209e3c7edfcda2a0477"}