{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:W6FFFEJZ4SPS2VQAJABN2XMMTM","short_pith_number":"pith:W6FFFEJZ","schema_version":"1.0","canonical_sha256":"b78a529139e49f2d56004802dd5d8c9b1c62ec044bf812eba920d5ea18654a19","source":{"kind":"arxiv","id":"2607.11770","version":1},"attestation_state":"computed","paper":{"title":"AutoSLO: Practical Latency SLOs on Cloud Data Warehouses -- Extended Version","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Markos Markakis, Tim Kraska","submitted_at":"2026-07-13T16:28:41Z","abstract_excerpt":"Modern cloud data warehouses decouple compute from storage, making it easy for organizations to access the same underlying data with multiple compute clusters. This flexibility is often used for performance isolation among diverse workloads, so that each workload meets its latency service-level objective (SLO) more reliably. For example, interactive dashboards, ad hoc analysis, and batch jobs can each run on separate clusters. However, this dedicated-cluster approach requires each compute cluster to be continuously scaled to adapt to workload evolution, with over-provisioning wasting resources"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.11770","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DB","submitted_at":"2026-07-13T16:28:41Z","cross_cats_sorted":[],"title_canon_sha256":"82b491a862b006d9b12736e5fef8952bacad951f361ce4867b6ccf12d852b376","abstract_canon_sha256":"2b98193af79fc417591f0a0addc3ae1c4776b64f6792f41ff4ff463ddcfe65fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T02:22:31.700289Z","signature_b64":"7jwSyfgBRFAVENI2g+pofmnogWoUowu6CHwU1K49A/CYgstjzTqG61DsLDgpK2gJtPK9xtj+xa+a6RSfW9+EAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b78a529139e49f2d56004802dd5d8c9b1c62ec044bf812eba920d5ea18654a19","last_reissued_at":"2026-07-14T02:22:31.699430Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T02:22:31.699430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AutoSLO: Practical Latency SLOs on Cloud Data Warehouses -- Extended Version","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Markos Markakis, Tim Kraska","submitted_at":"2026-07-13T16:28:41Z","abstract_excerpt":"Modern cloud data warehouses decouple compute from storage, making it easy for organizations to access the same underlying data with multiple compute clusters. This flexibility is often used for performance isolation among diverse workloads, so that each workload meets its latency service-level objective (SLO) more reliably. For example, interactive dashboards, ad hoc analysis, and batch jobs can each run on separate clusters. However, this dedicated-cluster approach requires each compute cluster to be continuously scaled to adapt to workload evolution, with over-provisioning wasting resources"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.11770","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/2607.11770/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.11770","created_at":"2026-07-14T02:22:31.699882+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.11770v1","created_at":"2026-07-14T02:22:31.699882+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.11770","created_at":"2026-07-14T02:22:31.699882+00:00"},{"alias_kind":"pith_short_12","alias_value":"W6FFFEJZ4SPS","created_at":"2026-07-14T02:22:31.699882+00:00"},{"alias_kind":"pith_short_16","alias_value":"W6FFFEJZ4SPS2VQA","created_at":"2026-07-14T02:22:31.699882+00:00"},{"alias_kind":"pith_short_8","alias_value":"W6FFFEJZ","created_at":"2026-07-14T02:22:31.699882+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM","json":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM.json","graph_json":"https://pith.science/api/pith-number/W6FFFEJZ4SPS2VQAJABN2XMMTM/graph.json","events_json":"https://pith.science/api/pith-number/W6FFFEJZ4SPS2VQAJABN2XMMTM/events.json","paper":"https://pith.science/paper/W6FFFEJZ"},"agent_actions":{"view_html":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM","download_json":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM.json","view_paper":"https://pith.science/paper/W6FFFEJZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.11770&json=true","fetch_graph":"https://pith.science/api/pith-number/W6FFFEJZ4SPS2VQAJABN2XMMTM/graph.json","fetch_events":"https://pith.science/api/pith-number/W6FFFEJZ4SPS2VQAJABN2XMMTM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM/action/storage_attestation","attest_author":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM/action/author_attestation","sign_citation":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM/action/citation_signature","submit_replication":"https://pith.science/pith/W6FFFEJZ4SPS2VQAJABN2XMMTM/action/replication_record"}},"created_at":"2026-07-14T02:22:31.699882+00:00","updated_at":"2026-07-14T02:22:31.699882+00:00"}