{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:L2T2FNLKC44JF7SRJAAGC6RTTI","short_pith_number":"pith:L2T2FNLK","schema_version":"1.0","canonical_sha256":"5ea7a2b56a173892fe514800617a339a34e0723da8a6711375a67d92a0fba256","source":{"kind":"arxiv","id":"1611.09414","version":2},"attestation_state":"computed","paper":{"title":"Split-door criterion: Identification of causal effects through auxiliary outcomes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.AP"],"primary_cat":"stat.ME","authors_text":"Amit Sharma, Duncan J. Watts, Jake M. Hofman","submitted_at":"2016-11-28T22:32:16Z","abstract_excerpt":"We present a method for estimating causal effects in time series data when fine-grained information about the outcome of interest is available. Specifically, we examine what we call the split-door setting, where the outcome variable can be split into two parts: one that is potentially affected by the cause being studied and another that is independent of it, with both parts sharing the same (unobserved) confounders. We show that under these conditions, the problem of identification reduces to that of testing for independence among observed variables, and present a method that uses this approac"},"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":"1611.09414","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-11-28T22:32:16Z","cross_cats_sorted":["cs.AI","stat.AP"],"title_canon_sha256":"e8cd3a12f1ff951078db4d23bd78bfc0baeb9136eb2e1a8511f58dbc7062a0d3","abstract_canon_sha256":"ac14e186940832829e9ef5844e5b6bfefa96601c85bd6c8161ae20cfddeca3f3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:15.741069Z","signature_b64":"uGOLHP/ksqYKR8l7cU/GBZDPYKTrJKOyaX218bPdKkn1K9DSdsYegEkriyrwiZnovxjl6rTfj7hcoB2w4ozqBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ea7a2b56a173892fe514800617a339a34e0723da8a6711375a67d92a0fba256","last_reissued_at":"2026-05-18T00:13:15.740349Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:15.740349Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Split-door criterion: Identification of causal effects through auxiliary outcomes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.AP"],"primary_cat":"stat.ME","authors_text":"Amit Sharma, Duncan J. Watts, Jake M. Hofman","submitted_at":"2016-11-28T22:32:16Z","abstract_excerpt":"We present a method for estimating causal effects in time series data when fine-grained information about the outcome of interest is available. Specifically, we examine what we call the split-door setting, where the outcome variable can be split into two parts: one that is potentially affected by the cause being studied and another that is independent of it, with both parts sharing the same (unobserved) confounders. We show that under these conditions, the problem of identification reduces to that of testing for independence among observed variables, and present a method that uses this approac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.09414","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":"1611.09414","created_at":"2026-05-18T00:13:15.740458+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.09414v2","created_at":"2026-05-18T00:13:15.740458+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.09414","created_at":"2026-05-18T00:13:15.740458+00:00"},{"alias_kind":"pith_short_12","alias_value":"L2T2FNLKC44J","created_at":"2026-05-18T12:30:29.479603+00:00"},{"alias_kind":"pith_short_16","alias_value":"L2T2FNLKC44JF7SR","created_at":"2026-05-18T12:30:29.479603+00:00"},{"alias_kind":"pith_short_8","alias_value":"L2T2FNLK","created_at":"2026-05-18T12:30:29.479603+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/L2T2FNLKC44JF7SRJAAGC6RTTI","json":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI.json","graph_json":"https://pith.science/api/pith-number/L2T2FNLKC44JF7SRJAAGC6RTTI/graph.json","events_json":"https://pith.science/api/pith-number/L2T2FNLKC44JF7SRJAAGC6RTTI/events.json","paper":"https://pith.science/paper/L2T2FNLK"},"agent_actions":{"view_html":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI","download_json":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI.json","view_paper":"https://pith.science/paper/L2T2FNLK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.09414&json=true","fetch_graph":"https://pith.science/api/pith-number/L2T2FNLKC44JF7SRJAAGC6RTTI/graph.json","fetch_events":"https://pith.science/api/pith-number/L2T2FNLKC44JF7SRJAAGC6RTTI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI/action/storage_attestation","attest_author":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI/action/author_attestation","sign_citation":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI/action/citation_signature","submit_replication":"https://pith.science/pith/L2T2FNLKC44JF7SRJAAGC6RTTI/action/replication_record"}},"created_at":"2026-05-18T00:13:15.740458+00:00","updated_at":"2026-05-18T00:13:15.740458+00:00"}