{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XCISVRWLXZHPCAZV5XFEROPIKU","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":"c74d3a66d641461a18716c836c8d9a11167b8ce084db2c127edc5792815bc21d","cross_cats_sorted":["cs.PF","math.PR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-05-28T09:07:44Z","title_canon_sha256":"2f3c47c0ddefb7c81ad2ba36d907e3acd69ec25a8051edbb56c50c8ca21b50a5"},"schema_version":"1.0","source":{"id":"2605.29641","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.29641","created_at":"2026-05-29T01:05:52Z"},{"alias_kind":"arxiv_version","alias_value":"2605.29641v1","created_at":"2026-05-29T01:05:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.29641","created_at":"2026-05-29T01:05:52Z"},{"alias_kind":"pith_short_12","alias_value":"XCISVRWLXZHP","created_at":"2026-05-29T01:05:52Z"},{"alias_kind":"pith_short_16","alias_value":"XCISVRWLXZHPCAZV","created_at":"2026-05-29T01:05:52Z"},{"alias_kind":"pith_short_8","alias_value":"XCISVRWL","created_at":"2026-05-29T01:05:52Z"}],"graph_snapshots":[{"event_id":"sha256:aa0d629511cff973ef92822ff06e09c493f1427427b97232a8acec5f71345262","target":"graph","created_at":"2026-05-29T01:05:52Z","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/2605.29641/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In data centers, tasks are dispatched to various servers to evenly distribute the workload. When a data center considers implementing a new scheduling algorithm, it typically conducts an A/B test prior to deployment to assess the real-world impact of this new method. However, a straightforward A/B test might be interfered with so-called ``Markovian'' interference. We utilized the Differences-in-Q estimator, as developed by Farias et al. (2022), and introduced mixed Differences-in-Q estimators grounded in Little's Law. We show that our A/B testing methods significantly reduce bias and variance ","authors_text":"Nanshan Jia, Nian Si, Ramesh Johari, Zeyu Zheng","cross_cats":["cs.PF","math.PR"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-05-28T09:07:44Z","title":"Experimentation for Different Scheduling Policies on Queues: Mixed Differences-in-Q Estimators Based on Little's Law"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.29641","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":"sha256:6506c2aae94e22a019583daaf8787a42ff5d1ce3715256a322d9afed35cd6474","target":"record","created_at":"2026-05-29T01:05:52Z","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":"c74d3a66d641461a18716c836c8d9a11167b8ce084db2c127edc5792815bc21d","cross_cats_sorted":["cs.PF","math.PR"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ME","submitted_at":"2026-05-28T09:07:44Z","title_canon_sha256":"2f3c47c0ddefb7c81ad2ba36d907e3acd69ec25a8051edbb56c50c8ca21b50a5"},"schema_version":"1.0","source":{"id":"2605.29641","kind":"arxiv","version":1}},"canonical_sha256":"b8912ac6cbbe4ef10335edca48b9e85508115ccaa943046b9c618edda1c89cc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8912ac6cbbe4ef10335edca48b9e85508115ccaa943046b9c618edda1c89cc9","first_computed_at":"2026-05-29T01:05:52.633854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T01:05:52.633854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UyJybZbONkYLhT9cRBl9sCWqOMNS5OI71Ho+xrEh//OSwpzT9ojrRcQ4sQj20dgwggDlKvCxsvkhjNJqpngeAQ==","signature_status":"signed_v1","signed_at":"2026-05-29T01:05:52.634696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.29641","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6506c2aae94e22a019583daaf8787a42ff5d1ce3715256a322d9afed35cd6474","sha256:aa0d629511cff973ef92822ff06e09c493f1427427b97232a8acec5f71345262"],"state_sha256":"75d89dca8b360d110568354e92ecff96b0695c1f6ae721ba408255d9e9a992e5"}