{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:TH7NISR273IVFT25JCCQRXSOST","short_pith_number":"pith:TH7NISR2","canonical_record":{"source":{"id":"1703.06180","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-17T19:29:36Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"3d4ad8d08f192f24ba5b182ae94f17e3d88bb6747a9e47544f80bede535441bb","abstract_canon_sha256":"5d77d4b20b10df1ea29705eb2c7f4694b0ba8fd0200583883f4ba94667e0f271"},"schema_version":"1.0"},"canonical_sha256":"99fed44a3afed152cf5d488508de4e94e57c0ec77b4ebb5fe1f5c6345112a363","source":{"kind":"arxiv","id":"1703.06180","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.06180","created_at":"2026-05-18T00:41:44Z"},{"alias_kind":"arxiv_version","alias_value":"1703.06180v2","created_at":"2026-05-18T00:41:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.06180","created_at":"2026-05-18T00:41:44Z"},{"alias_kind":"pith_short_12","alias_value":"TH7NISR273IV","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"TH7NISR273IVFT25","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"TH7NISR2","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:TH7NISR273IVFT25JCCQRXSOST","target":"record","payload":{"canonical_record":{"source":{"id":"1703.06180","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-17T19:29:36Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"3d4ad8d08f192f24ba5b182ae94f17e3d88bb6747a9e47544f80bede535441bb","abstract_canon_sha256":"5d77d4b20b10df1ea29705eb2c7f4694b0ba8fd0200583883f4ba94667e0f271"},"schema_version":"1.0"},"canonical_sha256":"99fed44a3afed152cf5d488508de4e94e57c0ec77b4ebb5fe1f5c6345112a363","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:44.240782Z","signature_b64":"abd4Zw2uxoxSiE55AP2JUFJRD16ik8jH92k4XP6sp5slwjzwT8RVBphRer2mPdlZoRtafcp6wY5HsCYLFpkdDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"99fed44a3afed152cf5d488508de4e94e57c0ec77b4ebb5fe1f5c6345112a363","last_reissued_at":"2026-05-18T00:41:44.240105Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:44.240105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.06180","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":"2026-05-18T00:41:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l9DVjcPCTnGUJfULjL/edgCv3nP/26SQTLxoChzbWkun65ogq+I1ipPX562UHkKoVWH4Mqi84jdSXhnvvajcBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T01:10:32.902938Z"},"content_sha256":"53b88c42f3b7867569e437fa6b6f5615dd861e6ff6de0c4b94b077ef0b341641","schema_version":"1.0","event_id":"sha256:53b88c42f3b7867569e437fa6b6f5615dd861e6ff6de0c4b94b077ef0b341641"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:TH7NISR273IVFT25JCCQRXSOST","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Effective Evaluation using Logged Bandit Feedback from Multiple Loggers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.LG","authors_text":"Aman Agarwal, Soumya Basu, Thorsten Joachims, Tobias Schnabel","submitted_at":"2017-03-17T19:29:36Z","abstract_excerpt":"Accurately evaluating new policies (e.g. ad-placement models, ranking functions, recommendation functions) is one of the key prerequisites for improving interactive systems. While the conventional approach to evaluation relies on online A/B tests, recent work has shown that counterfactual estimators can provide an inexpensive and fast alternative, since they can be applied offline using log data that was collected from a different policy fielded in the past. In this paper, we address the question of how to estimate the performance of a new target policy when we have log data from multiple hist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.06180","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":""},"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":"2026-05-18T00:41:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qvaiYh765YKskvqqrozL1oGmQLOvQlueQGrn6NyMjO9TSI9h/mtPShfl+oPpTNwX+uzYfNKGl0D1PrDog/ZEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T01:10:32.903631Z"},"content_sha256":"91384a5f5519dfcc6bdb54784f78aa00907f04fe6ef07f968b6feb7953ec0161","schema_version":"1.0","event_id":"sha256:91384a5f5519dfcc6bdb54784f78aa00907f04fe6ef07f968b6feb7953ec0161"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TH7NISR273IVFT25JCCQRXSOST/bundle.json","state_url":"https://pith.science/pith/TH7NISR273IVFT25JCCQRXSOST/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TH7NISR273IVFT25JCCQRXSOST/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":"2026-05-27T01:10:32Z","links":{"resolver":"https://pith.science/pith/TH7NISR273IVFT25JCCQRXSOST","bundle":"https://pith.science/pith/TH7NISR273IVFT25JCCQRXSOST/bundle.json","state":"https://pith.science/pith/TH7NISR273IVFT25JCCQRXSOST/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TH7NISR273IVFT25JCCQRXSOST/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:TH7NISR273IVFT25JCCQRXSOST","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":"5d77d4b20b10df1ea29705eb2c7f4694b0ba8fd0200583883f4ba94667e0f271","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-17T19:29:36Z","title_canon_sha256":"3d4ad8d08f192f24ba5b182ae94f17e3d88bb6747a9e47544f80bede535441bb"},"schema_version":"1.0","source":{"id":"1703.06180","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.06180","created_at":"2026-05-18T00:41:44Z"},{"alias_kind":"arxiv_version","alias_value":"1703.06180v2","created_at":"2026-05-18T00:41:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.06180","created_at":"2026-05-18T00:41:44Z"},{"alias_kind":"pith_short_12","alias_value":"TH7NISR273IV","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"TH7NISR273IVFT25","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"TH7NISR2","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:91384a5f5519dfcc6bdb54784f78aa00907f04fe6ef07f968b6feb7953ec0161","target":"graph","created_at":"2026-05-18T00:41:44Z","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"},"paper":{"abstract_excerpt":"Accurately evaluating new policies (e.g. ad-placement models, ranking functions, recommendation functions) is one of the key prerequisites for improving interactive systems. While the conventional approach to evaluation relies on online A/B tests, recent work has shown that counterfactual estimators can provide an inexpensive and fast alternative, since they can be applied offline using log data that was collected from a different policy fielded in the past. In this paper, we address the question of how to estimate the performance of a new target policy when we have log data from multiple hist","authors_text":"Aman Agarwal, Soumya Basu, Thorsten Joachims, Tobias Schnabel","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-17T19:29:36Z","title":"Effective Evaluation using Logged Bandit Feedback from Multiple Loggers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.06180","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":"sha256:53b88c42f3b7867569e437fa6b6f5615dd861e6ff6de0c4b94b077ef0b341641","target":"record","created_at":"2026-05-18T00:41:44Z","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":"5d77d4b20b10df1ea29705eb2c7f4694b0ba8fd0200583883f4ba94667e0f271","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-17T19:29:36Z","title_canon_sha256":"3d4ad8d08f192f24ba5b182ae94f17e3d88bb6747a9e47544f80bede535441bb"},"schema_version":"1.0","source":{"id":"1703.06180","kind":"arxiv","version":2}},"canonical_sha256":"99fed44a3afed152cf5d488508de4e94e57c0ec77b4ebb5fe1f5c6345112a363","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"99fed44a3afed152cf5d488508de4e94e57c0ec77b4ebb5fe1f5c6345112a363","first_computed_at":"2026-05-18T00:41:44.240105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:41:44.240105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"abd4Zw2uxoxSiE55AP2JUFJRD16ik8jH92k4XP6sp5slwjzwT8RVBphRer2mPdlZoRtafcp6wY5HsCYLFpkdDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:41:44.240782Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.06180","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53b88c42f3b7867569e437fa6b6f5615dd861e6ff6de0c4b94b077ef0b341641","sha256:91384a5f5519dfcc6bdb54784f78aa00907f04fe6ef07f968b6feb7953ec0161"],"state_sha256":"cae5904bb7b74ab0e467bf0407fdf724664435a6fb785272a95e1f811321075f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lFhGX34QFUxCOUN6QSaUKDJwPEUcmoD9LX37oFdJjGoSYaM9IAdrVBqAXgQuxy5qY+LXcvU77YR8Xs7qj7vABw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T01:10:32.907257Z","bundle_sha256":"35791ae092970e20ce6b671ccaede8b3b85a8befe2e5d5786ba9c799e72b55d7"}}