{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QO5H7HFT5SFM3AXI6FNNQMCOB4","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"e59ac9590c85978a977801f1582900fa59a715efbe76ab5e77a6361c90d366d3","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-16T11:59:38Z","title_canon_sha256":"d9028ebe637939111fbe1c873ed20da9f5c0d16222016555c1668d10e6c427ea"},"schema_version":"1.0","source":{"id":"2203.08570","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.08570","created_at":"2026-07-05T08:11:37Z"},{"alias_kind":"arxiv_version","alias_value":"2203.08570v1","created_at":"2026-07-05T08:11:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.08570","created_at":"2026-07-05T08:11:37Z"},{"alias_kind":"pith_short_12","alias_value":"QO5H7HFT5SFM","created_at":"2026-07-05T08:11:37Z"},{"alias_kind":"pith_short_16","alias_value":"QO5H7HFT5SFM3AXI","created_at":"2026-07-05T08:11:37Z"},{"alias_kind":"pith_short_8","alias_value":"QO5H7HFT","created_at":"2026-07-05T08:11:37Z"}],"graph_snapshots":[{"event_id":"sha256:7f3be8d0ada56d8dd71ba227c7496c334f343c480ddeeeb8f2cab3c18e5029b3","target":"graph","created_at":"2026-07-05T08:11:37Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2203.08570/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Inferring individualised treatment effects from observational data can unlock the potential for targeted interventions. It is, however, hard to infer these effects from observational data. One major problem that can arise is covariate shift where the data (outcome) conditional distribution remains the same but the covariate (input) distribution changes between the training and test set. In an observational data setting, this problem is materialised in control and treated units coming from different distributions. A common solution is to augment learning methods through reweighing schemes (e.g.","authors_text":"Damian Machlanski, Paul Clarke, Spyros Samothrakis","cross_cats":["stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-16T11:59:38Z","title":"Undersmoothing Causal Estimators with Generative Trees"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.08570","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:212c6c8ce3897395c388551bf7b49e663695c352cce03bbc3488450440cd4887","target":"record","created_at":"2026-07-05T08:11:37Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"e59ac9590c85978a977801f1582900fa59a715efbe76ab5e77a6361c90d366d3","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-16T11:59:38Z","title_canon_sha256":"d9028ebe637939111fbe1c873ed20da9f5c0d16222016555c1668d10e6c427ea"},"schema_version":"1.0","source":{"id":"2203.08570","kind":"arxiv","version":1}},"canonical_sha256":"83ba7f9cb3ec8acd82e8f15ad8304e0f005e7f18b90cec37c7c85c4c7a7c23e4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83ba7f9cb3ec8acd82e8f15ad8304e0f005e7f18b90cec37c7c85c4c7a7c23e4","first_computed_at":"2026-07-05T08:11:37.922413Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:37.922413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qJ6zcDwl72lwGOcdxpJrHyB73e9K1C6ue4D3lUQoyvZ2T6xS4rVJT7AjHVG0a7jHKLJh43kbWHIZcjzW/RuVAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:37.922883Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.08570","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:212c6c8ce3897395c388551bf7b49e663695c352cce03bbc3488450440cd4887","sha256:7f3be8d0ada56d8dd71ba227c7496c334f343c480ddeeeb8f2cab3c18e5029b3"],"state_sha256":"abedcd5f0c2bcfd3748ff4f650565abfb35aede5e5f0d4d8b5d472bebbad8c95"}