{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:NR4T5BAJYQ4WO5RQIOOZ4SH4DZ","short_pith_number":"pith:NR4T5BAJ","schema_version":"1.0","canonical_sha256":"6c793e8409c439677630439d9e48fc1e598ce92f4be23300b73be69a243e6c73","source":{"kind":"arxiv","id":"1804.07250","version":1},"attestation_state":"computed","paper":{"title":"Random Tilings with the GPU","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"cs.OH","authors_text":"Ananth Sridhar, David Keating","submitted_at":"2018-04-18T00:36:58Z","abstract_excerpt":"We present GPU accelerated implementations of Markov chain algorithms to sample random tilings, dimers, and the six-vertex model."},"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":"1804.07250","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.OH","submitted_at":"2018-04-18T00:36:58Z","cross_cats_sorted":["cond-mat.stat-mech"],"title_canon_sha256":"b39407660f25af4699d41caa79ea9ae9874146e63df1d55127e2fc704f020af4","abstract_canon_sha256":"c8eca21e968bcd531f7b7af37f0fa1191f8916dec4bf482f33a83cabbc086d8c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:16.782144Z","signature_b64":"zjiu9stzterrl+KDR1F+p/j6/ldr6zw1Vl+bCKf5UUmPzycLUisdjCPvNqVgwDctTujuXoRJwmWK6VC6Rh2uDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c793e8409c439677630439d9e48fc1e598ce92f4be23300b73be69a243e6c73","last_reissued_at":"2026-05-18T00:03:16.781536Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:16.781536Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Random Tilings with the GPU","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"cs.OH","authors_text":"Ananth Sridhar, David Keating","submitted_at":"2018-04-18T00:36:58Z","abstract_excerpt":"We present GPU accelerated implementations of Markov chain algorithms to sample random tilings, dimers, and the six-vertex model."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.07250","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":"1804.07250","created_at":"2026-05-18T00:03:16.781650+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.07250v1","created_at":"2026-05-18T00:03:16.781650+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.07250","created_at":"2026-05-18T00:03:16.781650+00:00"},{"alias_kind":"pith_short_12","alias_value":"NR4T5BAJYQ4W","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_16","alias_value":"NR4T5BAJYQ4WO5RQ","created_at":"2026-05-18T12:32:40.477152+00:00"},{"alias_kind":"pith_short_8","alias_value":"NR4T5BAJ","created_at":"2026-05-18T12:32:40.477152+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/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ","json":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ.json","graph_json":"https://pith.science/api/pith-number/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/graph.json","events_json":"https://pith.science/api/pith-number/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/events.json","paper":"https://pith.science/paper/NR4T5BAJ"},"agent_actions":{"view_html":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ","download_json":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ.json","view_paper":"https://pith.science/paper/NR4T5BAJ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.07250&json=true","fetch_graph":"https://pith.science/api/pith-number/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/graph.json","fetch_events":"https://pith.science/api/pith-number/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/action/storage_attestation","attest_author":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/action/author_attestation","sign_citation":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/action/citation_signature","submit_replication":"https://pith.science/pith/NR4T5BAJYQ4WO5RQIOOZ4SH4DZ/action/replication_record"}},"created_at":"2026-05-18T00:03:16.781650+00:00","updated_at":"2026-05-18T00:03:16.781650+00:00"}