{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:GXDKX432IQRQLGKYZXGP2ZAUND","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":"d0e217f9a21f6c55df4b5a1f58703a74ac1c36941228f997ec4c4d5087e78155","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-06-25T20:03:59Z","title_canon_sha256":"6c41a2c26425ced5321e5d7f2580fe251aced60f875997c8257abe8f39539941"},"schema_version":"1.0","source":{"id":"2606.27518","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.27518","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"arxiv_version","alias_value":"2606.27518v1","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27518","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"pith_short_12","alias_value":"GXDKX432IQRQ","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"pith_short_16","alias_value":"GXDKX432IQRQLGKY","created_at":"2026-06-29T00:14:08Z"},{"alias_kind":"pith_short_8","alias_value":"GXDKX432","created_at":"2026-06-29T00:14:08Z"}],"graph_snapshots":[{"event_id":"sha256:050be48210b005bfd6f887862a94c88979ca6b2cf157241312465aed1dc0484b","target":"graph","created_at":"2026-06-29T00:14:08Z","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/2606.27518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Wearable devices can accurately measure human behavior, providing a unique opportunity to understand how behavior impacts health. Recent studies leveraging functional regression methods have found a strong relationship between accelerometer-collected physical activity and mortality. However, to determine if physical activity patterns impact mortality it is necessary to understand the causal effects of policies for physical activity, i.e., a function-valued treatment. Functional treatments present several challenges for causal effect estimation: 1) defining a scientifically meaningful estimand ","authors_text":"Jared D. Huling, Julian Wolfson, Martha Barnard","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-06-25T20:03:59Z","title":"Causal Inference for Functional Treatments with Stochastic Policies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27518","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":"sha256:8cbd8c63997d90966ff225c0986d9cd91cf0a67d1c7d196c001432a7e5ca15a6","target":"record","created_at":"2026-06-29T00:14:08Z","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":"d0e217f9a21f6c55df4b5a1f58703a74ac1c36941228f997ec4c4d5087e78155","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2026-06-25T20:03:59Z","title_canon_sha256":"6c41a2c26425ced5321e5d7f2580fe251aced60f875997c8257abe8f39539941"},"schema_version":"1.0","source":{"id":"2606.27518","kind":"arxiv","version":1}},"canonical_sha256":"35c6abf37a4423059958cdccfd641468de28de754c76234776ff9ce657fb2dd4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35c6abf37a4423059958cdccfd641468de28de754c76234776ff9ce657fb2dd4","first_computed_at":"2026-06-29T00:14:08.832558Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T00:14:08.832558Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BAnr4fuOUUrXtDJQPtbcuhnOf3IE0c9M9TaQnAgycqF58J3VuUE4LfDcXj5k7cj4S+MBDxz3xU/OmpMCI9ppCg==","signature_status":"signed_v1","signed_at":"2026-06-29T00:14:08.832978Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.27518","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8cbd8c63997d90966ff225c0986d9cd91cf0a67d1c7d196c001432a7e5ca15a6","sha256:050be48210b005bfd6f887862a94c88979ca6b2cf157241312465aed1dc0484b"],"state_sha256":"e9d4c223140e803f1f478122e7cd17125e6f96c34ee7287c4852440c1326aae6"}