{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:75JAFX5WRFWZ4SERLSYZOOXVAV","short_pith_number":"pith:75JAFX5W","canonical_record":{"source":{"id":"1903.07844","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-19T05:34:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8a17eb8f8d347fcb802b937ccbd536847e36defd39edf65e41c21475bc8d6cf0","abstract_canon_sha256":"22e3cf44274c0448edaa79bbc1b994067e7375cadd10c734569ed32fa79eb617"},"schema_version":"1.0"},"canonical_sha256":"ff5202dfb6896d9e48915cb1973af5055180bf7921a92b42f3897e423d118bad","source":{"kind":"arxiv","id":"1903.07844","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.07844","created_at":"2026-05-17T23:47:08Z"},{"alias_kind":"arxiv_version","alias_value":"1903.07844v2","created_at":"2026-05-17T23:47:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07844","created_at":"2026-05-17T23:47:08Z"},{"alias_kind":"pith_short_12","alias_value":"75JAFX5WRFWZ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"75JAFX5WRFWZ4SER","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"75JAFX5W","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:75JAFX5WRFWZ4SERLSYZOOXVAV","target":"record","payload":{"canonical_record":{"source":{"id":"1903.07844","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-19T05:34:00Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8a17eb8f8d347fcb802b937ccbd536847e36defd39edf65e41c21475bc8d6cf0","abstract_canon_sha256":"22e3cf44274c0448edaa79bbc1b994067e7375cadd10c734569ed32fa79eb617"},"schema_version":"1.0"},"canonical_sha256":"ff5202dfb6896d9e48915cb1973af5055180bf7921a92b42f3897e423d118bad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:47:08.415019Z","signature_b64":"xhhnBa7AbMW9Kvn8rgzW9sgnupyLKUUmmLCeFrdCx/XVYtkJxiRM1E1GXr3At2cHtUMUxpobl3w4gpqGRjHjAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff5202dfb6896d9e48915cb1973af5055180bf7921a92b42f3897e423d118bad","last_reissued_at":"2026-05-17T23:47:08.414363Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:47:08.414363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.07844","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":"2026-05-17T23:47:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BssqgS/55xyuX6XDEsSIBXFU54NPz5PcLyKTRgKl5r9tnBPBoshDGEaIfw9vfHH2SZm5DS4lH2F5WGX8f4I0Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T22:06:41.102547Z"},"content_sha256":"a4cb0eb229cdee594b84a6f21211b9542945453c747271959681c8468e092d0b","schema_version":"1.0","event_id":"sha256:a4cb0eb229cdee594b84a6f21211b9542945453c747271959681c8468e092d0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:75JAFX5WRFWZ4SERLSYZOOXVAV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"math.OC","authors_text":"David Simchi-Levi, Li Wang, Rong Jin, Sen Yang, Xinshang Wang","submitted_at":"2019-03-19T05:34:00Z","abstract_excerpt":"The recent rising popularity of ultra-fast delivery services on retail platforms fuels the increasing use of urban warehouses, whose proximity to customers makes fast deliveries viable. The space limit in urban warehouses poses a problem for the online retailers: the number of products (SKUs) they carry is no longer \"the more, the better\", yet it can still be significantly large, reaching hundreds or thousands in a product category. In this paper, we study algorithms for dynamically identifying a large number of products (i.e., SKUs) with top customer purchase probabilities on the fly, from an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07844","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":"2026-05-17T23:47:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LPhHe0SGAdV/O9NRxViGPLJYXV8fDrlr0s1OVOEZZMuaB4GVaLlvFLOHrBoBryCOael6IaE8kvi4kYv6I8F8BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T22:06:41.103180Z"},"content_sha256":"910146b6f6cceef1c58eaee7fadd67705ad210dd37be0f5dfaf638dd8487e16d","schema_version":"1.0","event_id":"sha256:910146b6f6cceef1c58eaee7fadd67705ad210dd37be0f5dfaf638dd8487e16d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/75JAFX5WRFWZ4SERLSYZOOXVAV/bundle.json","state_url":"https://pith.science/pith/75JAFX5WRFWZ4SERLSYZOOXVAV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/75JAFX5WRFWZ4SERLSYZOOXVAV/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":"2026-06-07T22:06:41Z","links":{"resolver":"https://pith.science/pith/75JAFX5WRFWZ4SERLSYZOOXVAV","bundle":"https://pith.science/pith/75JAFX5WRFWZ4SERLSYZOOXVAV/bundle.json","state":"https://pith.science/pith/75JAFX5WRFWZ4SERLSYZOOXVAV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/75JAFX5WRFWZ4SERLSYZOOXVAV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:75JAFX5WRFWZ4SERLSYZOOXVAV","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":"22e3cf44274c0448edaa79bbc1b994067e7375cadd10c734569ed32fa79eb617","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-19T05:34:00Z","title_canon_sha256":"8a17eb8f8d347fcb802b937ccbd536847e36defd39edf65e41c21475bc8d6cf0"},"schema_version":"1.0","source":{"id":"1903.07844","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.07844","created_at":"2026-05-17T23:47:08Z"},{"alias_kind":"arxiv_version","alias_value":"1903.07844v2","created_at":"2026-05-17T23:47:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07844","created_at":"2026-05-17T23:47:08Z"},{"alias_kind":"pith_short_12","alias_value":"75JAFX5WRFWZ","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"75JAFX5WRFWZ4SER","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"75JAFX5W","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:910146b6f6cceef1c58eaee7fadd67705ad210dd37be0f5dfaf638dd8487e16d","target":"graph","created_at":"2026-05-17T23:47:08Z","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":"The recent rising popularity of ultra-fast delivery services on retail platforms fuels the increasing use of urban warehouses, whose proximity to customers makes fast deliveries viable. The space limit in urban warehouses poses a problem for the online retailers: the number of products (SKUs) they carry is no longer \"the more, the better\", yet it can still be significantly large, reaching hundreds or thousands in a product category. In this paper, we study algorithms for dynamically identifying a large number of products (i.e., SKUs) with top customer purchase probabilities on the fly, from an","authors_text":"David Simchi-Levi, Li Wang, Rong Jin, Sen Yang, Xinshang Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-19T05:34:00Z","title":"Shrinking the Upper Confidence Bound: A Dynamic Product Selection Problem for Urban Warehouses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07844","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:a4cb0eb229cdee594b84a6f21211b9542945453c747271959681c8468e092d0b","target":"record","created_at":"2026-05-17T23:47:08Z","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":"22e3cf44274c0448edaa79bbc1b994067e7375cadd10c734569ed32fa79eb617","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2019-03-19T05:34:00Z","title_canon_sha256":"8a17eb8f8d347fcb802b937ccbd536847e36defd39edf65e41c21475bc8d6cf0"},"schema_version":"1.0","source":{"id":"1903.07844","kind":"arxiv","version":2}},"canonical_sha256":"ff5202dfb6896d9e48915cb1973af5055180bf7921a92b42f3897e423d118bad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff5202dfb6896d9e48915cb1973af5055180bf7921a92b42f3897e423d118bad","first_computed_at":"2026-05-17T23:47:08.414363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:47:08.414363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xhhnBa7AbMW9Kvn8rgzW9sgnupyLKUUmmLCeFrdCx/XVYtkJxiRM1E1GXr3At2cHtUMUxpobl3w4gpqGRjHjAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:47:08.415019Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.07844","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4cb0eb229cdee594b84a6f21211b9542945453c747271959681c8468e092d0b","sha256:910146b6f6cceef1c58eaee7fadd67705ad210dd37be0f5dfaf638dd8487e16d"],"state_sha256":"8e61f0f8723c9eead79e0c6f148f2d3c85281826e66193737fae41fb913cda95"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JBsbZrlcjabOh+jTcQ1YxcJBKk+5LHCjsxmva96cW/8PZkqv2weKlxcL725t8G7TJy40zMqU5ZSIb5TxSwNhAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T22:06:41.106820Z","bundle_sha256":"96116803aee77330deb2c379c270d75dd45df9604c8c02fd40bcdf111be421d5"}}