{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:5PB7JQ5KBAZTX42UO3246FE2WL","short_pith_number":"pith:5PB7JQ5K","schema_version":"1.0","canonical_sha256":"ebc3f4c3aa08333bf35476f5cf149ab2d61de4c88b4b2200e75df133715c6fe5","source":{"kind":"arxiv","id":"1412.2221","version":2},"attestation_state":"computed","paper":{"title":"Declarative Statistical Modeling with Datalog","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.PL"],"primary_cat":"cs.DB","authors_text":"Balder ten Cate, Benny Kimelfeld, Dan Olteanu, Vince Barany, Zografoula Vagena","submitted_at":"2014-12-06T11:04:14Z","abstract_excerpt":"Formalisms for specifying statistical models, such as probabilistic-programming languages, typically consist of two components: a specification of a stochastic process (the prior), and a specification of observations that restrict the probability space to a conditional subspace (the posterior). Use cases of such formalisms include the development of algorithms in machine learning and artificial intelligence. We propose and investigate a declarative framework for specifying statistical models on top of a database, through an appropriate extension of Datalog. By virtue of extending Datalog, our "},"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":"1412.2221","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2014-12-06T11:04:14Z","cross_cats_sorted":["cs.AI","cs.PL"],"title_canon_sha256":"0f8861f1dc916e43c0eda3c6b46a2d1c0d85de8721cc3834467a1b0ed0a4a3db","abstract_canon_sha256":"d3268b35718358e686fcc495fade1f8cd19913ca3807d1bb3b9adeb8a484fc7c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:30:07.670463Z","signature_b64":"h+lECbngOtFG1qNVSlcQJLVFhDNG6IoNR+/ujqnsFx+xo9nvubCmPS7jVG7c6OYI6yViaGbucfeR2lAd1Qd+Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ebc3f4c3aa08333bf35476f5cf149ab2d61de4c88b4b2200e75df133715c6fe5","last_reissued_at":"2026-05-18T02:30:07.669793Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:30:07.669793Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Declarative Statistical Modeling with Datalog","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.PL"],"primary_cat":"cs.DB","authors_text":"Balder ten Cate, Benny Kimelfeld, Dan Olteanu, Vince Barany, Zografoula Vagena","submitted_at":"2014-12-06T11:04:14Z","abstract_excerpt":"Formalisms for specifying statistical models, such as probabilistic-programming languages, typically consist of two components: a specification of a stochastic process (the prior), and a specification of observations that restrict the probability space to a conditional subspace (the posterior). Use cases of such formalisms include the development of algorithms in machine learning and artificial intelligence. We propose and investigate a declarative framework for specifying statistical models on top of a database, through an appropriate extension of Datalog. By virtue of extending Datalog, our "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.2221","kind":"arxiv","version":2},"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":"1412.2221","created_at":"2026-05-18T02:30:07.669895+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.2221v2","created_at":"2026-05-18T02:30:07.669895+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.2221","created_at":"2026-05-18T02:30:07.669895+00:00"},{"alias_kind":"pith_short_12","alias_value":"5PB7JQ5KBAZT","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_16","alias_value":"5PB7JQ5KBAZTX42U","created_at":"2026-05-18T12:28:14.216126+00:00"},{"alias_kind":"pith_short_8","alias_value":"5PB7JQ5K","created_at":"2026-05-18T12:28:14.216126+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/5PB7JQ5KBAZTX42UO3246FE2WL","json":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL.json","graph_json":"https://pith.science/api/pith-number/5PB7JQ5KBAZTX42UO3246FE2WL/graph.json","events_json":"https://pith.science/api/pith-number/5PB7JQ5KBAZTX42UO3246FE2WL/events.json","paper":"https://pith.science/paper/5PB7JQ5K"},"agent_actions":{"view_html":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL","download_json":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL.json","view_paper":"https://pith.science/paper/5PB7JQ5K","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.2221&json=true","fetch_graph":"https://pith.science/api/pith-number/5PB7JQ5KBAZTX42UO3246FE2WL/graph.json","fetch_events":"https://pith.science/api/pith-number/5PB7JQ5KBAZTX42UO3246FE2WL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL/action/storage_attestation","attest_author":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL/action/author_attestation","sign_citation":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL/action/citation_signature","submit_replication":"https://pith.science/pith/5PB7JQ5KBAZTX42UO3246FE2WL/action/replication_record"}},"created_at":"2026-05-18T02:30:07.669895+00:00","updated_at":"2026-05-18T02:30:07.669895+00:00"}