{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NTMH54GU5JSOC77I23OJO27CHO","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":"3a0774acb3e46169395ab57b23f23615105eaee3a25a5ca9b56254763f9d2c20","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-02T19:41:23Z","title_canon_sha256":"f392bfb7602c3f96c94049660ef767ab6bc575ec474f29cf83cfce9ed15d1b94"},"schema_version":"1.0","source":{"id":"2506.02200","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02200","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02200v2","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02200","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_12","alias_value":"NTMH54GU5JSO","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_16","alias_value":"NTMH54GU5JSOC77I","created_at":"2026-07-05T11:26:05Z"},{"alias_kind":"pith_short_8","alias_value":"NTMH54GU","created_at":"2026-07-05T11:26:05Z"}],"graph_snapshots":[{"event_id":"sha256:99639561e90d3e81431ade5a184d40d98e64c96dcc0c7058d38da63b0517641a","target":"graph","created_at":"2026-07-05T11:26:05Z","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/2506.02200/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traditional instrumental variable (IV) estimators face a fundamental constraint: they can only accommodate as many endogenous treatment variables as available instruments. This limitation becomes particularly challenging in settings where the treatment is presented in a high-dimensional and unstructured manner (e.g. descriptions of patient treatment pathways in a hospital). In such settings, researchers typically resort to applying unsupervised dimension reduction techniques to learn a low-dimensional treatment representation prior to implementing IV regression analysis. We show that such meth","authors_text":"Hui Lan, Shiangyi Lin, Vasilis Syrgkanis","cross_cats":["stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-02T19:41:23Z","title":"Learning Treatment Representations for Downstream Instrumental Variable Regression"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02200","kind":"arxiv","version":2},"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:a3a69ded1010589f9676210003b6457a50f8f423adb5c0a0220045b555c3fb3e","target":"record","created_at":"2026-07-05T11:26:05Z","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":"3a0774acb3e46169395ab57b23f23615105eaee3a25a5ca9b56254763f9d2c20","cross_cats_sorted":["stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-02T19:41:23Z","title_canon_sha256":"f392bfb7602c3f96c94049660ef767ab6bc575ec474f29cf83cfce9ed15d1b94"},"schema_version":"1.0","source":{"id":"2506.02200","kind":"arxiv","version":2}},"canonical_sha256":"6cd87ef0d4ea64e17fe8d6dc976be23bb9758316f01f695c6032a9e4b075117c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6cd87ef0d4ea64e17fe8d6dc976be23bb9758316f01f695c6032a9e4b075117c","first_computed_at":"2026-07-05T11:26:05.080324Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:26:05.080324Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q7UNexSq6yiTY74oX6lKu+D2bwvAlbbVHI1mm0hjGk/ABF5NJjpPrdu+UZndgkWURbSYF0HGpLvceV6nJInLBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:26:05.080829Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02200","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3a69ded1010589f9676210003b6457a50f8f423adb5c0a0220045b555c3fb3e","sha256:99639561e90d3e81431ade5a184d40d98e64c96dcc0c7058d38da63b0517641a"],"state_sha256":"2d1281f933a317fbe621322dbb74dfaf75f9cce3f034384cee28dce41233a37d"}