{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:KO5ISGV6K6E66R7LHBG32Z6UBW","short_pith_number":"pith:KO5ISGV6","canonical_record":{"source":{"id":"2412.15128","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-12-19T18:08:54Z","cross_cats_sorted":[],"title_canon_sha256":"0b29a7fcc0ed041fa3db0d49880d60b0971fdf7ccbf4bd66b5c42a4e1fa8f757","abstract_canon_sha256":"442a8501a1ec6dff7e096b8f1cef8e1bf5f32ad6b44858bbf37a1cb862d681b2"},"schema_version":"1.0"},"canonical_sha256":"53ba891abe5789ef47eb384dbd67d40da55690bad192686bec924e871d1931d6","source":{"kind":"arxiv","id":"2412.15128","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15128","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15128v3","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15128","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"pith_short_12","alias_value":"KO5ISGV6K6E6","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"pith_short_16","alias_value":"KO5ISGV6K6E66R7L","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"pith_short_8","alias_value":"KO5ISGV6","created_at":"2026-08-05T00:40:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:KO5ISGV6K6E66R7LHBG32Z6UBW","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15128","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-12-19T18:08:54Z","cross_cats_sorted":[],"title_canon_sha256":"0b29a7fcc0ed041fa3db0d49880d60b0971fdf7ccbf4bd66b5c42a4e1fa8f757","abstract_canon_sha256":"442a8501a1ec6dff7e096b8f1cef8e1bf5f32ad6b44858bbf37a1cb862d681b2"},"schema_version":"1.0"},"canonical_sha256":"53ba891abe5789ef47eb384dbd67d40da55690bad192686bec924e871d1931d6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T00:40:38.658826Z","signature_b64":"p2VkvsQi5LhLUV/wbv97KChV1xe9mt5uwKuqEVSfjU4HT6wimZ27+wRXecN2F5MnVwjCERSGBAw6uw2QFGXDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53ba891abe5789ef47eb384dbd67d40da55690bad192686bec924e871d1931d6","last_reissued_at":"2026-08-05T00:40:38.655227Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T00:40:38.655227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15128","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T00:40:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nMrzaAQgR+r5k4t6kvZ0gHC8TxEsaGpY0cjZOghJTDsTEZAS9s6+YOjoDLtoXaMFj66+qCH+tiuWoZxcIGUEAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:46:41.053972Z"},"content_sha256":"ce8e7dcd4b822f070c9d9bc7a88ecfc442422d1c01a7622b83bb248b73117492","schema_version":"1.0","event_id":"sha256:ce8e7dcd4b822f070c9d9bc7a88ecfc442422d1c01a7622b83bb248b73117492"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:KO5ISGV6K6E66R7LHBG32Z6UBW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Georgia Papadogeorgou, Jason Lyall, Kosuke Imai, Lingxiao Zhou","submitted_at":"2024-12-19T18:08:54Z","abstract_excerpt":"Scholars from diverse fields increasingly rely on high-frequency spatio-temporal data. Yet, causal inference with these data remains challenging due to spatial spillover and temporal carryover effects. We develop methods to estimate heterogeneous treatment effects by allowing for arbitrary spatial and temporal causal dependencies. We focus on common settings where the treatment and outcomes are time-varying spatial point patterns and where moderators are either spatial or spatio-temporal variables. We define causal estimands based on stochastic interventions where researchers specify counterfa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15128","kind":"arxiv","version":3},"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/2412.15128/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-05T00:40:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xJxcJ7ii63R7zaD/TiXqDRDe+v4JJW7zXaydM3lvXegLzxLGxC9/wcNF5cKvbSC7oaIPwDfZ3XulEnDEfWKhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:46:41.054467Z"},"content_sha256":"0297166bfed39a8146234a19a6678e394aa3328f2229fdf712cdb1c23667a5ac","schema_version":"1.0","event_id":"sha256:0297166bfed39a8146234a19a6678e394aa3328f2229fdf712cdb1c23667a5ac"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KO5ISGV6K6E66R7LHBG32Z6UBW/bundle.json","state_url":"https://pith.science/pith/KO5ISGV6K6E66R7LHBG32Z6UBW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KO5ISGV6K6E66R7LHBG32Z6UBW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T23:46:41Z","links":{"resolver":"https://pith.science/pith/KO5ISGV6K6E66R7LHBG32Z6UBW","bundle":"https://pith.science/pith/KO5ISGV6K6E66R7LHBG32Z6UBW/bundle.json","state":"https://pith.science/pith/KO5ISGV6K6E66R7LHBG32Z6UBW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KO5ISGV6K6E66R7LHBG32Z6UBW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:KO5ISGV6K6E66R7LHBG32Z6UBW","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":"442a8501a1ec6dff7e096b8f1cef8e1bf5f32ad6b44858bbf37a1cb862d681b2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-12-19T18:08:54Z","title_canon_sha256":"0b29a7fcc0ed041fa3db0d49880d60b0971fdf7ccbf4bd66b5c42a4e1fa8f757"},"schema_version":"1.0","source":{"id":"2412.15128","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15128","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15128v3","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15128","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"pith_short_12","alias_value":"KO5ISGV6K6E6","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"pith_short_16","alias_value":"KO5ISGV6K6E66R7L","created_at":"2026-08-05T00:40:38Z"},{"alias_kind":"pith_short_8","alias_value":"KO5ISGV6","created_at":"2026-08-05T00:40:38Z"}],"graph_snapshots":[{"event_id":"sha256:0297166bfed39a8146234a19a6678e394aa3328f2229fdf712cdb1c23667a5ac","target":"graph","created_at":"2026-08-05T00:40:38Z","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/2412.15128/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scholars from diverse fields increasingly rely on high-frequency spatio-temporal data. Yet, causal inference with these data remains challenging due to spatial spillover and temporal carryover effects. We develop methods to estimate heterogeneous treatment effects by allowing for arbitrary spatial and temporal causal dependencies. We focus on common settings where the treatment and outcomes are time-varying spatial point patterns and where moderators are either spatial or spatio-temporal variables. We define causal estimands based on stochastic interventions where researchers specify counterfa","authors_text":"Georgia Papadogeorgou, Jason Lyall, Kosuke Imai, Lingxiao Zhou","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-12-19T18:08:54Z","title":"Estimating Heterogeneous Treatment Effects for Spatio-Temporal Causal Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15128","kind":"arxiv","version":3},"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:ce8e7dcd4b822f070c9d9bc7a88ecfc442422d1c01a7622b83bb248b73117492","target":"record","created_at":"2026-08-05T00:40:38Z","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":"442a8501a1ec6dff7e096b8f1cef8e1bf5f32ad6b44858bbf37a1cb862d681b2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"stat.ME","submitted_at":"2024-12-19T18:08:54Z","title_canon_sha256":"0b29a7fcc0ed041fa3db0d49880d60b0971fdf7ccbf4bd66b5c42a4e1fa8f757"},"schema_version":"1.0","source":{"id":"2412.15128","kind":"arxiv","version":3}},"canonical_sha256":"53ba891abe5789ef47eb384dbd67d40da55690bad192686bec924e871d1931d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53ba891abe5789ef47eb384dbd67d40da55690bad192686bec924e871d1931d6","first_computed_at":"2026-08-05T00:40:38.655227Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-05T00:40:38.655227Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p2VkvsQi5LhLUV/wbv97KChV1xe9mt5uwKuqEVSfjU4HT6wimZ27+wRXecN2F5MnVwjCERSGBAw6uw2QFGXDCg==","signature_status":"signed_v1","signed_at":"2026-08-05T00:40:38.658826Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15128","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce8e7dcd4b822f070c9d9bc7a88ecfc442422d1c01a7622b83bb248b73117492","sha256:0297166bfed39a8146234a19a6678e394aa3328f2229fdf712cdb1c23667a5ac"],"state_sha256":"7dae34ed4076cf271bd2d6bab620e02766f18c89d32664f9288dcff6e0053e35"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VbFjeFiAIyTHQbJKsL5/wanXFcCQ9d2PCcBLc9krAaeDM0DhPE/JOoaMBl76/8dJucAEuXw59+l2a8sJQex3Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T23:46:41.058989Z","bundle_sha256":"caf78659f1a3b30830f848b7334dc3871622547f5c577b8aebf8cfcddad6d5c6"}}