{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:OS5XRFATL2BADFL5NK7ZGUKL2G","short_pith_number":"pith:OS5XRFAT","canonical_record":{"source":{"id":"2604.00915","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-04-01T13:56:19Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"1df107dd21491e0abebf19f7cf2ba32cad5026103f71d7e1a7f0cf4b9c6442ee","abstract_canon_sha256":"26f9b5091c62b4757ceccb79ab7f605d79d8b9e24b9f26128a18cb7887ef1d45"},"schema_version":"1.0"},"canonical_sha256":"74bb7894135e8201957d6abf93514bd1929feade62301c5da62681e499196731","source":{"kind":"arxiv","id":"2604.00915","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2604.00915","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2604.00915v2","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2604.00915","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"OS5XRFATL2BA","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"OS5XRFATL2BADFL5","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"OS5XRFAT","created_at":"2026-06-04T01:09:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:OS5XRFATL2BADFL5NK7ZGUKL2G","target":"record","payload":{"canonical_record":{"source":{"id":"2604.00915","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-04-01T13:56:19Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"1df107dd21491e0abebf19f7cf2ba32cad5026103f71d7e1a7f0cf4b9c6442ee","abstract_canon_sha256":"26f9b5091c62b4757ceccb79ab7f605d79d8b9e24b9f26128a18cb7887ef1d45"},"schema_version":"1.0"},"canonical_sha256":"74bb7894135e8201957d6abf93514bd1929feade62301c5da62681e499196731","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:49.296678Z","signature_b64":"CPYROvbMzXq7tHDGlRcVE3z6+GkwPWnB2knEpUEbRHwGReOrynTJaIP/5tfWwJH8lLJzQsLxabXT2qzwCP3HDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"74bb7894135e8201957d6abf93514bd1929feade62301c5da62681e499196731","last_reissued_at":"2026-06-04T01:09:49.295426Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:49.295426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2604.00915","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-04T01:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7Z8lsoPak0jIF+bz9sosNZt6FX4HZ/EsptMq+0qIHHgNcBU2taGoQx92lL6KcLzgauJ9moRStK1N2+q0K//aBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T04:29:27.593115Z"},"content_sha256":"cc9cab55751be0aa48e85e7f615aa3678a661eb2caa49a93cc3f3ccbcd392a19","schema_version":"1.0","event_id":"sha256:cc9cab55751be0aa48e85e7f615aa3678a661eb2caa49a93cc3f3ccbcd392a19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:OS5XRFATL2BADFL5NK7ZGUKL2G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Orthogonal Learner for Estimating Heterogeneous Long-Term Treatment Effects","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dennis Frauen, Haorui Ma, Stefan Feuerriegel, Valentyn Melnychuk","submitted_at":"2026-04-01T13:56:19Z","abstract_excerpt":"Estimation of heterogeneous long-term treatment effects (HLTEs) is relevant for personalized decision-making in marketing, economics, and medicine, where short-term observational datasets are often combined with long-term observational datasets. However, HLTE estimation is challenging due to limited overlap in treatment assignments or in long-term outcomes for certain subpopulations, which can lead to unstable HLTE estimates with large finite-sample variance. To address this challenge, we introduce the LT-O-learners (Long-Term Orthogonal Learners), a set of novel orthogonal learners for HLTE e"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2604.00915","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2604.00915/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":"2026-06-04T01:09:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p1aBwMp/+Na/uHK3hXskcZFQrTafxSmrOnU7Vhi05GFcdamERCNAMvUJo+9OU1ngTGj6/MPgGXccb3KtDZeoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T04:29:27.593800Z"},"content_sha256":"b92bbcb95d5566b06d5df7835b82869b1e3eb2ab9db327f50b40864188f40506","schema_version":"1.0","event_id":"sha256:b92bbcb95d5566b06d5df7835b82869b1e3eb2ab9db327f50b40864188f40506"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OS5XRFATL2BADFL5NK7ZGUKL2G/bundle.json","state_url":"https://pith.science/pith/OS5XRFATL2BADFL5NK7ZGUKL2G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OS5XRFATL2BADFL5NK7ZGUKL2G/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":"2026-06-09T04:29:27Z","links":{"resolver":"https://pith.science/pith/OS5XRFATL2BADFL5NK7ZGUKL2G","bundle":"https://pith.science/pith/OS5XRFATL2BADFL5NK7ZGUKL2G/bundle.json","state":"https://pith.science/pith/OS5XRFATL2BADFL5NK7ZGUKL2G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OS5XRFATL2BADFL5NK7ZGUKL2G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:OS5XRFATL2BADFL5NK7ZGUKL2G","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":"26f9b5091c62b4757ceccb79ab7f605d79d8b9e24b9f26128a18cb7887ef1d45","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-04-01T13:56:19Z","title_canon_sha256":"1df107dd21491e0abebf19f7cf2ba32cad5026103f71d7e1a7f0cf4b9c6442ee"},"schema_version":"1.0","source":{"id":"2604.00915","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2604.00915","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"arxiv_version","alias_value":"2604.00915v2","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2604.00915","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"pith_short_12","alias_value":"OS5XRFATL2BA","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"pith_short_16","alias_value":"OS5XRFATL2BADFL5","created_at":"2026-06-04T01:09:49Z"},{"alias_kind":"pith_short_8","alias_value":"OS5XRFAT","created_at":"2026-06-04T01:09:49Z"}],"graph_snapshots":[{"event_id":"sha256:b92bbcb95d5566b06d5df7835b82869b1e3eb2ab9db327f50b40864188f40506","target":"graph","created_at":"2026-06-04T01:09:49Z","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/2604.00915/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimation of heterogeneous long-term treatment effects (HLTEs) is relevant for personalized decision-making in marketing, economics, and medicine, where short-term observational datasets are often combined with long-term observational datasets. However, HLTE estimation is challenging due to limited overlap in treatment assignments or in long-term outcomes for certain subpopulations, which can lead to unstable HLTE estimates with large finite-sample variance. To address this challenge, we introduce the LT-O-learners (Long-Term Orthogonal Learners), a set of novel orthogonal learners for HLTE e","authors_text":"Dennis Frauen, Haorui Ma, Stefan Feuerriegel, Valentyn Melnychuk","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-04-01T13:56:19Z","title":"Orthogonal Learner for Estimating Heterogeneous Long-Term Treatment Effects"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2604.00915","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:cc9cab55751be0aa48e85e7f615aa3678a661eb2caa49a93cc3f3ccbcd392a19","target":"record","created_at":"2026-06-04T01:09:49Z","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":"26f9b5091c62b4757ceccb79ab7f605d79d8b9e24b9f26128a18cb7887ef1d45","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-04-01T13:56:19Z","title_canon_sha256":"1df107dd21491e0abebf19f7cf2ba32cad5026103f71d7e1a7f0cf4b9c6442ee"},"schema_version":"1.0","source":{"id":"2604.00915","kind":"arxiv","version":2}},"canonical_sha256":"74bb7894135e8201957d6abf93514bd1929feade62301c5da62681e499196731","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"74bb7894135e8201957d6abf93514bd1929feade62301c5da62681e499196731","first_computed_at":"2026-06-04T01:09:49.295426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:49.295426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CPYROvbMzXq7tHDGlRcVE3z6+GkwPWnB2knEpUEbRHwGReOrynTJaIP/5tfWwJH8lLJzQsLxabXT2qzwCP3HDQ==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:49.296678Z","signed_message":"canonical_sha256_bytes"},"source_id":"2604.00915","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cc9cab55751be0aa48e85e7f615aa3678a661eb2caa49a93cc3f3ccbcd392a19","sha256:b92bbcb95d5566b06d5df7835b82869b1e3eb2ab9db327f50b40864188f40506"],"state_sha256":"22660cdbe234d1641336290994e982b8ccb9619ad01b5e5cfcadf94bbfa58507"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3zdagXaddIrRc3PKPOLe53amkyfug9fuB52GD4Mx/qm1wwWuN2gBXdzimUN8M+adHZACtbO1utrwonLz3Y1yAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T04:29:27.597672Z","bundle_sha256":"eb89b1467ad29df9f2c4a8aa578fde8173aaa02d8cfc371548c998192052e333"}}