{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:SNRHOPDFDRL2YP53JUPRSZYLQ4","short_pith_number":"pith:SNRHOPDF","canonical_record":{"source":{"id":"2106.00418","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-06-01T12:01:51Z","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"title_canon_sha256":"505c7e8dc52445e6e632b42898e64652ec3793db0d3da6ffc2c440d3f22e767a","abstract_canon_sha256":"40168373ac0c0118e676c9e87e9116cf9a974a08f83d72188c33be093ba4fa86"},"schema_version":"1.0"},"canonical_sha256":"9362773c651c57ac3fbb4d1f19670b8702481942bee65c3102fd811169fde72b","source":{"kind":"arxiv","id":"2106.00418","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.00418","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"arxiv_version","alias_value":"2106.00418v1","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.00418","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"pith_short_12","alias_value":"SNRHOPDFDRL2","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"pith_short_16","alias_value":"SNRHOPDFDRL2YP53","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"pith_short_8","alias_value":"SNRHOPDF","created_at":"2026-07-05T02:45:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:SNRHOPDFDRL2YP53JUPRSZYLQ4","target":"record","payload":{"canonical_record":{"source":{"id":"2106.00418","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-06-01T12:01:51Z","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"title_canon_sha256":"505c7e8dc52445e6e632b42898e64652ec3793db0d3da6ffc2c440d3f22e767a","abstract_canon_sha256":"40168373ac0c0118e676c9e87e9116cf9a974a08f83d72188c33be093ba4fa86"},"schema_version":"1.0"},"canonical_sha256":"9362773c651c57ac3fbb4d1f19670b8702481942bee65c3102fd811169fde72b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:45:04.467209Z","signature_b64":"rE4qm8FrGYYS/w98hQhbkX57M6ZIKU/LqD/7Ab0WieUalJdqJWByDvAnbWV4fhxPh7aKe97Ka+rEJI0e3vqZAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9362773c651c57ac3fbb4d1f19670b8702481942bee65c3102fd811169fde72b","last_reissued_at":"2026-07-05T02:45:04.466855Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:45:04.466855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.00418","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:45:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XGNRiU2cEsouEYPJms3dAUlOzqLMrB9G3BHsYS6aGQzR0unsNXTHxEIx/EchwqodnVKRU54svYrQXYgvxb1ZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:21:37.431537Z"},"content_sha256":"012565484d0f93fdda42c215825f7dce0442c2a71690e0de848af94d61ffaa49","schema_version":"1.0","event_id":"sha256:012565484d0f93fdda42c215825f7dce0442c2a71690e0de848af94d61ffaa49"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:SNRHOPDFDRL2YP53JUPRSZYLQ4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Post-Contextual-Bandit Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","math.ST","stat.TH"],"primary_cat":"stat.ML","authors_text":"Antoine Chambaz, Aur\\'elien Bibaut, Maria Dimakopoulou, Mark van der Laan, Nathan Kallus","submitted_at":"2021-06-01T12:01:51Z","abstract_excerpt":"Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study participants and increase the chance of identifying good or even best policies. To support credible inference on novel interventions at the end of the study, nonetheless, we still want to construct valid confidence intervals on average treatment effects, subgroup effects, or value of new policies. The adaptive nature of the data collected by contextual bandit algorithms, however, makes this difficult: standard estimators are"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.00418","kind":"arxiv","version":1},"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/2106.00418/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":"2026-07-05T02:45:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k84+EdBknBXWAfFPASNCY6fUQoxiY1PGhZYot8a1Ek3RG1txk29Cb2YCl9QxGNHnKqo/cpZmmx2Zctzb19BRBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:21:37.432073Z"},"content_sha256":"5a0bc09e585b464d898c7c89ee6ab75b003e72d21bac94a725d3a0e2548dd758","schema_version":"1.0","event_id":"sha256:5a0bc09e585b464d898c7c89ee6ab75b003e72d21bac94a725d3a0e2548dd758"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SNRHOPDFDRL2YP53JUPRSZYLQ4/bundle.json","state_url":"https://pith.science/pith/SNRHOPDFDRL2YP53JUPRSZYLQ4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SNRHOPDFDRL2YP53JUPRSZYLQ4/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":"2026-08-08T16:21:37Z","links":{"resolver":"https://pith.science/pith/SNRHOPDFDRL2YP53JUPRSZYLQ4","bundle":"https://pith.science/pith/SNRHOPDFDRL2YP53JUPRSZYLQ4/bundle.json","state":"https://pith.science/pith/SNRHOPDFDRL2YP53JUPRSZYLQ4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SNRHOPDFDRL2YP53JUPRSZYLQ4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:SNRHOPDFDRL2YP53JUPRSZYLQ4","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":"40168373ac0c0118e676c9e87e9116cf9a974a08f83d72188c33be093ba4fa86","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-06-01T12:01:51Z","title_canon_sha256":"505c7e8dc52445e6e632b42898e64652ec3793db0d3da6ffc2c440d3f22e767a"},"schema_version":"1.0","source":{"id":"2106.00418","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.00418","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"arxiv_version","alias_value":"2106.00418v1","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.00418","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"pith_short_12","alias_value":"SNRHOPDFDRL2","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"pith_short_16","alias_value":"SNRHOPDFDRL2YP53","created_at":"2026-07-05T02:45:04Z"},{"alias_kind":"pith_short_8","alias_value":"SNRHOPDF","created_at":"2026-07-05T02:45:04Z"}],"graph_snapshots":[{"event_id":"sha256:5a0bc09e585b464d898c7c89ee6ab75b003e72d21bac94a725d3a0e2548dd758","target":"graph","created_at":"2026-07-05T02:45:04Z","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/2106.00418/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contextual bandit algorithms are increasingly replacing non-adaptive A/B tests in e-commerce, healthcare, and policymaking because they can both improve outcomes for study participants and increase the chance of identifying good or even best policies. To support credible inference on novel interventions at the end of the study, nonetheless, we still want to construct valid confidence intervals on average treatment effects, subgroup effects, or value of new policies. The adaptive nature of the data collected by contextual bandit algorithms, however, makes this difficult: standard estimators are","authors_text":"Antoine Chambaz, Aur\\'elien Bibaut, Maria Dimakopoulou, Mark van der Laan, Nathan Kallus","cross_cats":["cs.LG","math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-06-01T12:01:51Z","title":"Post-Contextual-Bandit Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.00418","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":"sha256:012565484d0f93fdda42c215825f7dce0442c2a71690e0de848af94d61ffaa49","target":"record","created_at":"2026-07-05T02:45:04Z","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":"40168373ac0c0118e676c9e87e9116cf9a974a08f83d72188c33be093ba4fa86","cross_cats_sorted":["cs.LG","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-06-01T12:01:51Z","title_canon_sha256":"505c7e8dc52445e6e632b42898e64652ec3793db0d3da6ffc2c440d3f22e767a"},"schema_version":"1.0","source":{"id":"2106.00418","kind":"arxiv","version":1}},"canonical_sha256":"9362773c651c57ac3fbb4d1f19670b8702481942bee65c3102fd811169fde72b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9362773c651c57ac3fbb4d1f19670b8702481942bee65c3102fd811169fde72b","first_computed_at":"2026-07-05T02:45:04.466855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:45:04.466855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rE4qm8FrGYYS/w98hQhbkX57M6ZIKU/LqD/7Ab0WieUalJdqJWByDvAnbWV4fhxPh7aKe97Ka+rEJI0e3vqZAw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:45:04.467209Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.00418","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:012565484d0f93fdda42c215825f7dce0442c2a71690e0de848af94d61ffaa49","sha256:5a0bc09e585b464d898c7c89ee6ab75b003e72d21bac94a725d3a0e2548dd758"],"state_sha256":"c5b511d762e18b367631fc579eae308cff1800ef6113132ad48b9224df1f0c48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lTYOdkCdvd18Y4h10WmecczMpQcePqZuGh/Bb0JvR3hqgoTU9c4VlkPhny4cp4mCPOAYgdyD7Fml5O0r84AEBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:21:37.436263Z","bundle_sha256":"f6434463db686617886fa9b35994285d99d9a6f97945195083d233190d5769f6"}}