{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:YUEN25JOF67MPOCUVUFNV5FQ2N","short_pith_number":"pith:YUEN25JO","schema_version":"1.0","canonical_sha256":"c508dd752e2fbec7b854ad0adaf4b0d37e73a5b1762ea6287b1877af02b367c7","source":{"kind":"arxiv","id":"1801.03783","version":1},"attestation_state":"computed","paper":{"title":"Quantifying Gerrymandering in North Carolina","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"physics.soc-ph","authors_text":"Christy Vaughn Graves, Gregory Herschlag, Han Sung Kang, Jonathan C. Mattingly, Justin Luo, Robert Ravier, Sachet Bangia","submitted_at":"2018-01-10T05:55:41Z","abstract_excerpt":"Using an ensemble of redistricting plans, we evaluate whether a given political districting faithfully represents the geo-political landscape. Redistricting plans are sampled by a Monte Carlo algorithm from a probability distribution that adheres to realistic and non-partisan criteria. Using the sampled redistricting plans and historical voting data, we produce an ensemble of elections that reveal geo-political structure within the state. We showcase our methods on the two most recent districtings of NC for the U.S. House of Representatives, as well as a plan drawn by a bipartisan redistrictin"},"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":"1801.03783","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.soc-ph","submitted_at":"2018-01-10T05:55:41Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"926fb51c3c0808792f944c054f6da85ed08e1d40266974429c69e1de2f08a784","abstract_canon_sha256":"9e927b047732b8e93f371009b29144676d3e295d9b066610efa6ff1efe9acc48"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:13.466230Z","signature_b64":"AJl6ZZG+GB9P43065u0fnNj7yxM8bgFb5hNMl8SVBCARvYGjBHxvATfbp3rFwCh9tLx8PwoU4JXdg8Nw4D85AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c508dd752e2fbec7b854ad0adaf4b0d37e73a5b1762ea6287b1877af02b367c7","last_reissued_at":"2026-05-18T00:26:13.465735Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:13.465735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Quantifying Gerrymandering in North Carolina","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"physics.soc-ph","authors_text":"Christy Vaughn Graves, Gregory Herschlag, Han Sung Kang, Jonathan C. Mattingly, Justin Luo, Robert Ravier, Sachet Bangia","submitted_at":"2018-01-10T05:55:41Z","abstract_excerpt":"Using an ensemble of redistricting plans, we evaluate whether a given political districting faithfully represents the geo-political landscape. Redistricting plans are sampled by a Monte Carlo algorithm from a probability distribution that adheres to realistic and non-partisan criteria. Using the sampled redistricting plans and historical voting data, we produce an ensemble of elections that reveal geo-political structure within the state. We showcase our methods on the two most recent districtings of NC for the U.S. House of Representatives, as well as a plan drawn by a bipartisan redistrictin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.03783","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":"1801.03783","created_at":"2026-05-18T00:26:13.465824+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.03783v1","created_at":"2026-05-18T00:26:13.465824+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.03783","created_at":"2026-05-18T00:26:13.465824+00:00"},{"alias_kind":"pith_short_12","alias_value":"YUEN25JOF67M","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"YUEN25JOF67MPOCU","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"YUEN25JO","created_at":"2026-05-18T12:33:04.347982+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/YUEN25JOF67MPOCUVUFNV5FQ2N","json":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N.json","graph_json":"https://pith.science/api/pith-number/YUEN25JOF67MPOCUVUFNV5FQ2N/graph.json","events_json":"https://pith.science/api/pith-number/YUEN25JOF67MPOCUVUFNV5FQ2N/events.json","paper":"https://pith.science/paper/YUEN25JO"},"agent_actions":{"view_html":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N","download_json":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N.json","view_paper":"https://pith.science/paper/YUEN25JO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.03783&json=true","fetch_graph":"https://pith.science/api/pith-number/YUEN25JOF67MPOCUVUFNV5FQ2N/graph.json","fetch_events":"https://pith.science/api/pith-number/YUEN25JOF67MPOCUVUFNV5FQ2N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N/action/storage_attestation","attest_author":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N/action/author_attestation","sign_citation":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N/action/citation_signature","submit_replication":"https://pith.science/pith/YUEN25JOF67MPOCUVUFNV5FQ2N/action/replication_record"}},"created_at":"2026-05-18T00:26:13.465824+00:00","updated_at":"2026-05-18T00:26:13.465824+00:00"}