{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:7CT7U73L4JMOA7NTHHGYUR52T4","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":"43dd7e831b27854e93ddcd74541622aa33dfb1de7f23cbf6cfb1baf008b53121","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-05T23:52:09Z","title_canon_sha256":"fc192e09de7ce6cd4dd06277e08921e6c93c0e9fda103bccf7d03718c6521b3c"},"schema_version":"1.0","source":{"id":"2007.02470","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.02470","created_at":"2026-07-05T07:14:48Z"},{"alias_kind":"arxiv_version","alias_value":"2007.02470v3","created_at":"2026-07-05T07:14:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.02470","created_at":"2026-07-05T07:14:48Z"},{"alias_kind":"pith_short_12","alias_value":"7CT7U73L4JMO","created_at":"2026-07-05T07:14:48Z"},{"alias_kind":"pith_short_16","alias_value":"7CT7U73L4JMOA7NT","created_at":"2026-07-05T07:14:48Z"},{"alias_kind":"pith_short_8","alias_value":"7CT7U73L","created_at":"2026-07-05T07:14:48Z"}],"graph_snapshots":[{"event_id":"sha256:33b520cb6e9691cf9876c0f48dc53bbe9f3d216be2ef3b941cc98b4fe26df370","target":"graph","created_at":"2026-07-05T07:14:48Z","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/2007.02470/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Devising dynamic pricing policy with always valid online statistical learning procedure is an important and as yet unresolved problem. Most existing dynamic pricing policy, which focus on the faithfulness of adopted customer choice models, exhibit a limited capability for adapting the online uncertainty of learned statistical model during pricing process. In this paper, we propose a novel approach for designing dynamic pricing policy based regularized online statistical learning with theoretical guarantees. The new approach overcomes the challenge of continuous monitoring of online Lasso proce","authors_text":"Chi-Hua Wang, Guang Cheng, Will Wei Sun, Zhanyu Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-05T23:52:09Z","title":"Online Regularization towards Always-Valid High-Dimensional Dynamic Pricing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.02470","kind":"arxiv","version":3},"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":"sha256:528fab80bb68931c52eaa9b374756113bea59b67a8616e2d3e39fd1c4862e8ec","target":"record","created_at":"2026-07-05T07:14:48Z","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":"43dd7e831b27854e93ddcd74541622aa33dfb1de7f23cbf6cfb1baf008b53121","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2020-07-05T23:52:09Z","title_canon_sha256":"fc192e09de7ce6cd4dd06277e08921e6c93c0e9fda103bccf7d03718c6521b3c"},"schema_version":"1.0","source":{"id":"2007.02470","kind":"arxiv","version":3}},"canonical_sha256":"f8a7fa7f6be258e07db339cd8a47ba9f1c6763c494fc864c495f896611c597a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f8a7fa7f6be258e07db339cd8a47ba9f1c6763c494fc864c495f896611c597a2","first_computed_at":"2026-07-05T07:14:48.448513Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:14:48.448513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"358Ed5f0sDBWPnCIDQLuCcOGQVZFjdXXXv9lEAVLfr9GwGyj6dcLny0B9uPUINF1v29nuG7RUVFBTb3NT7BbDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:14:48.448941Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.02470","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:528fab80bb68931c52eaa9b374756113bea59b67a8616e2d3e39fd1c4862e8ec","sha256:33b520cb6e9691cf9876c0f48dc53bbe9f3d216be2ef3b941cc98b4fe26df370"],"state_sha256":"6ce43d6e4596b7262a884ee568062852a9417c36b7d2456ecf29542f1c5f4de2"}