{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:E7RIYJ4PUMOPEP6WNAC6QMBFTG","short_pith_number":"pith:E7RIYJ4P","schema_version":"1.0","canonical_sha256":"27e28c278fa31cf23fd66805e8302599a273bf2aee166cd21f6b61a5a87c7820","source":{"kind":"arxiv","id":"2004.01157","version":2},"attestation_state":"computed","paper":{"title":"Identification Methods With Arbitrary Interventional Distributions as Inputs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Ilya Shpitser, Jaron J. R. Lee","submitted_at":"2020-04-02T17:27:18Z","abstract_excerpt":"Causal inference quantifies cause-effect relationships by estimating counterfactual parameters from data. This entails using \\emph{identification theory} to establish a link between counterfactual parameters of interest and distributions from which data is available. A line of work characterized non-parametric identification for a wide variety of causal parameters in terms of the \\emph{observed data distribution}. More recently, identification results have been extended to settings where experimental data from interventional distributions is also available. In this paper, we use Single World I"},"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":"2004.01157","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-04-02T17:27:18Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"11a452515425c5b2da3d9466181cbc248cc8b6bf7f0ac90598d6d5ba6456edbb","abstract_canon_sha256":"e826f1a4ea5f09725988353c75fb578012b24792441c216b903eb128801b9d09"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:55:31.439068Z","signature_b64":"6F8sg7iDD71p3jL3yH0mf29co+EnKx+cHi5FD3hHCJ88RzDmYkA2fvx0ieufVWjpGWn4+SrC5KS/lYYMN32NBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27e28c278fa31cf23fd66805e8302599a273bf2aee166cd21f6b61a5a87c7820","last_reissued_at":"2026-07-05T00:55:31.438708Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:55:31.438708Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Identification Methods With Arbitrary Interventional Distributions as Inputs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Ilya Shpitser, Jaron J. R. Lee","submitted_at":"2020-04-02T17:27:18Z","abstract_excerpt":"Causal inference quantifies cause-effect relationships by estimating counterfactual parameters from data. This entails using \\emph{identification theory} to establish a link between counterfactual parameters of interest and distributions from which data is available. A line of work characterized non-parametric identification for a wide variety of causal parameters in terms of the \\emph{observed data distribution}. More recently, identification results have been extended to settings where experimental data from interventional distributions is also available. In this paper, we use Single World I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.01157","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2004.01157/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2004.01157","created_at":"2026-07-05T00:55:31.438764+00:00"},{"alias_kind":"arxiv_version","alias_value":"2004.01157v2","created_at":"2026-07-05T00:55:31.438764+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.01157","created_at":"2026-07-05T00:55:31.438764+00:00"},{"alias_kind":"pith_short_12","alias_value":"E7RIYJ4PUMOP","created_at":"2026-07-05T00:55:31.438764+00:00"},{"alias_kind":"pith_short_16","alias_value":"E7RIYJ4PUMOPEP6W","created_at":"2026-07-05T00:55:31.438764+00:00"},{"alias_kind":"pith_short_8","alias_value":"E7RIYJ4P","created_at":"2026-07-05T00:55:31.438764+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/E7RIYJ4PUMOPEP6WNAC6QMBFTG","json":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG.json","graph_json":"https://pith.science/api/pith-number/E7RIYJ4PUMOPEP6WNAC6QMBFTG/graph.json","events_json":"https://pith.science/api/pith-number/E7RIYJ4PUMOPEP6WNAC6QMBFTG/events.json","paper":"https://pith.science/paper/E7RIYJ4P"},"agent_actions":{"view_html":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG","download_json":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG.json","view_paper":"https://pith.science/paper/E7RIYJ4P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2004.01157&json=true","fetch_graph":"https://pith.science/api/pith-number/E7RIYJ4PUMOPEP6WNAC6QMBFTG/graph.json","fetch_events":"https://pith.science/api/pith-number/E7RIYJ4PUMOPEP6WNAC6QMBFTG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG/action/storage_attestation","attest_author":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG/action/author_attestation","sign_citation":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG/action/citation_signature","submit_replication":"https://pith.science/pith/E7RIYJ4PUMOPEP6WNAC6QMBFTG/action/replication_record"}},"created_at":"2026-07-05T00:55:31.438764+00:00","updated_at":"2026-07-05T00:55:31.438764+00:00"}