{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WPRYZOHOL2MEAJD3OUSQRUXCGA","short_pith_number":"pith:WPRYZOHO","canonical_record":{"source":{"id":"2305.11812","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2023-05-19T16:48:04Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"4edb2b6c5f098d61f4524736c37e2311af53175b9ae9e3a60ba07415cad5edc8","abstract_canon_sha256":"fc6476f22a8c0474b4b4c35da81e30eff2ccfc688d13e3c883d9c62af2eee099"},"schema_version":"1.0"},"canonical_sha256":"b3e38cb8ee5e9840247b752508d2e2302e8cbff335b0a53cc67d9a0100913626","source":{"kind":"arxiv","id":"2305.11812","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11812","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11812v2","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11812","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"pith_short_12","alias_value":"WPRYZOHOL2ME","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"pith_short_16","alias_value":"WPRYZOHOL2MEAJD3","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"pith_short_8","alias_value":"WPRYZOHO","created_at":"2026-07-05T07:54:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WPRYZOHOL2MEAJD3OUSQRUXCGA","target":"record","payload":{"canonical_record":{"source":{"id":"2305.11812","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2023-05-19T16:48:04Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"4edb2b6c5f098d61f4524736c37e2311af53175b9ae9e3a60ba07415cad5edc8","abstract_canon_sha256":"fc6476f22a8c0474b4b4c35da81e30eff2ccfc688d13e3c883d9c62af2eee099"},"schema_version":"1.0"},"canonical_sha256":"b3e38cb8ee5e9840247b752508d2e2302e8cbff335b0a53cc67d9a0100913626","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:54:00.841914Z","signature_b64":"GYx77179tpOWpWhOReddxh/vshz0bHEdcCYzIAMVJKu+CNOaPo2JZiAYb+Huu9Ofi/qfFF8ykdBVdyyCmtzAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3e38cb8ee5e9840247b752508d2e2302e8cbff335b0a53cc67d9a0100913626","last_reissued_at":"2026-07-05T07:54:00.841502Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:54:00.841502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.11812","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":"2026-07-05T07:54:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OfVEPa9qfX5Y4a6373sMPT107ZJYmRLKRBdLByMvFomfCEAmtSd3YNfdjzTzryXv3rhRgO0MLjF9dKbiZXsHDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:59:38.866587Z"},"content_sha256":"f622afe9460345635f38eafa18609a10e3f3b64a020d865356aadd6f48c5cfca","schema_version":"1.0","event_id":"sha256:f622afe9460345635f38eafa18609a10e3f3b64a020d865356aadd6f48c5cfca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WPRYZOHOL2MEAJD3OUSQRUXCGA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Off-policy evaluation beyond overlap: partial identification through smoothness","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.ME","authors_text":"Johan Ugander, Martin Saveski, Samir Khan","submitted_at":"2023-05-19T16:48:04Z","abstract_excerpt":"Off-policy evaluation (OPE) is the problem of estimating the value of a target policy using historical data collected under a different logging policy. OPE methods typically assume overlap between the target and logging policy, enabling solutions based on importance weighting and/or imputation. In this work, we approach OPE without assuming either overlap or a well-specified model by considering a strategy based on partial identification under non-parametric assumptions on the conditional mean function, focusing especially on Lipschitz smoothness. Under such smoothness assumptions, we formulat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11812","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/2305.11812/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":"2026-07-05T07:54:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6CMoaxZQEB2QevhSa7gkvvkhmse8EPfBrHJ05Fk4JXIqZBg730fx0NgJ2m4jaiIT1B7hG5Ddcb5YrQGYgpwuAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:59:38.866990Z"},"content_sha256":"48be6f75908ba73f4dc0b49103044e04d2584352e4d08c531f9efe2685f77549","schema_version":"1.0","event_id":"sha256:48be6f75908ba73f4dc0b49103044e04d2584352e4d08c531f9efe2685f77549"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WPRYZOHOL2MEAJD3OUSQRUXCGA/bundle.json","state_url":"https://pith.science/pith/WPRYZOHOL2MEAJD3OUSQRUXCGA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WPRYZOHOL2MEAJD3OUSQRUXCGA/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":"2026-08-04T09:59:38Z","links":{"resolver":"https://pith.science/pith/WPRYZOHOL2MEAJD3OUSQRUXCGA","bundle":"https://pith.science/pith/WPRYZOHOL2MEAJD3OUSQRUXCGA/bundle.json","state":"https://pith.science/pith/WPRYZOHOL2MEAJD3OUSQRUXCGA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WPRYZOHOL2MEAJD3OUSQRUXCGA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WPRYZOHOL2MEAJD3OUSQRUXCGA","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":"fc6476f22a8c0474b4b4c35da81e30eff2ccfc688d13e3c883d9c62af2eee099","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2023-05-19T16:48:04Z","title_canon_sha256":"4edb2b6c5f098d61f4524736c37e2311af53175b9ae9e3a60ba07415cad5edc8"},"schema_version":"1.0","source":{"id":"2305.11812","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.11812","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"arxiv_version","alias_value":"2305.11812v2","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.11812","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"pith_short_12","alias_value":"WPRYZOHOL2ME","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"pith_short_16","alias_value":"WPRYZOHOL2MEAJD3","created_at":"2026-07-05T07:54:00Z"},{"alias_kind":"pith_short_8","alias_value":"WPRYZOHO","created_at":"2026-07-05T07:54:00Z"}],"graph_snapshots":[{"event_id":"sha256:48be6f75908ba73f4dc0b49103044e04d2584352e4d08c531f9efe2685f77549","target":"graph","created_at":"2026-07-05T07:54:00Z","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/2305.11812/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Off-policy evaluation (OPE) is the problem of estimating the value of a target policy using historical data collected under a different logging policy. OPE methods typically assume overlap between the target and logging policy, enabling solutions based on importance weighting and/or imputation. In this work, we approach OPE without assuming either overlap or a well-specified model by considering a strategy based on partial identification under non-parametric assumptions on the conditional mean function, focusing especially on Lipschitz smoothness. Under such smoothness assumptions, we formulat","authors_text":"Johan Ugander, Martin Saveski, Samir Khan","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2023-05-19T16:48:04Z","title":"Off-policy evaluation beyond overlap: partial identification through smoothness"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.11812","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:f622afe9460345635f38eafa18609a10e3f3b64a020d865356aadd6f48c5cfca","target":"record","created_at":"2026-07-05T07:54:00Z","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":"fc6476f22a8c0474b4b4c35da81e30eff2ccfc688d13e3c883d9c62af2eee099","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2023-05-19T16:48:04Z","title_canon_sha256":"4edb2b6c5f098d61f4524736c37e2311af53175b9ae9e3a60ba07415cad5edc8"},"schema_version":"1.0","source":{"id":"2305.11812","kind":"arxiv","version":2}},"canonical_sha256":"b3e38cb8ee5e9840247b752508d2e2302e8cbff335b0a53cc67d9a0100913626","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3e38cb8ee5e9840247b752508d2e2302e8cbff335b0a53cc67d9a0100913626","first_computed_at":"2026-07-05T07:54:00.841502Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:00.841502Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GYx77179tpOWpWhOReddxh/vshz0bHEdcCYzIAMVJKu+CNOaPo2JZiAYb+Huu9Ofi/qfFF8ykdBVdyyCmtzAAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:00.841914Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.11812","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f622afe9460345635f38eafa18609a10e3f3b64a020d865356aadd6f48c5cfca","sha256:48be6f75908ba73f4dc0b49103044e04d2584352e4d08c531f9efe2685f77549"],"state_sha256":"1eb2eda84a6229ed0f0b4cfa95a30a765e0e59c2cd1b862dbe4f50159b12b4d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MLezvtsQQ62JlQYjYImgReQD2x9hQz9LZsKgPfrC5+upCw2sUJ5dRyHtxRoXC483fyUT7pVVmvKzk0j1f/GjDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:59:38.870141Z","bundle_sha256":"b31e891f488feabda7b8fcf1efd3078bda1b046acf78a2c22bef1bc4dd945ac4"}}