{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:5IAJHTQJFU6SV3TSTSUHVRWPRF","short_pith_number":"pith:5IAJHTQJ","canonical_record":{"source":{"id":"2502.05256","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-02-07T18:20:19Z","cross_cats_sorted":[],"title_canon_sha256":"5258fef2802bb53f570db7850d005324fbbaab853186140d25bb0f65ae236c7f","abstract_canon_sha256":"a3463508c573daa7d4c2150c4e1bf67ff157012cf28a1c7f313d9982c3f9d255"},"schema_version":"1.0"},"canonical_sha256":"ea0093ce092d3d2aee729ca87ac6cf89648c461d6c37c1c09269524530bbfcd1","source":{"kind":"arxiv","id":"2502.05256","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05256","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05256v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05256","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"5IAJHTQJFU6S","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"5IAJHTQJFU6SV3TS","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"5IAJHTQJ","created_at":"2026-07-05T10:11:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:5IAJHTQJFU6SV3TSTSUHVRWPRF","target":"record","payload":{"canonical_record":{"source":{"id":"2502.05256","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-02-07T18:20:19Z","cross_cats_sorted":[],"title_canon_sha256":"5258fef2802bb53f570db7850d005324fbbaab853186140d25bb0f65ae236c7f","abstract_canon_sha256":"a3463508c573daa7d4c2150c4e1bf67ff157012cf28a1c7f313d9982c3f9d255"},"schema_version":"1.0"},"canonical_sha256":"ea0093ce092d3d2aee729ca87ac6cf89648c461d6c37c1c09269524530bbfcd1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:11:34.992666Z","signature_b64":"SIWZZqLJLovC/7mUceMulFDn1TKPppOFWVVJ8REU0UEy1umyXxToJt1PXOnQj85M7BTn+qwrCk2k52bCTCs0Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea0093ce092d3d2aee729ca87ac6cf89648c461d6c37c1c09269524530bbfcd1","last_reissued_at":"2026-07-05T10:11:34.992129Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:11:34.992129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.05256","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IBDOyvEy24eIS1O8PifHJsQ/5yIbCOxtojuJYV6paAP4Wz7DyFCAGFP7SN79PFGYB5wfx0yQTEviyQRk8zMfAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:06:08.243751Z"},"content_sha256":"14e5f81c37f34db20f67750f8a7dfd338e53ec6ab0110cf262e8dea0f1d06d33","schema_version":"1.0","event_id":"sha256:14e5f81c37f34db20f67750f8a7dfd338e53ec6ab0110cf262e8dea0f1d06d33"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:5IAJHTQJFU6SV3TSTSUHVRWPRF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learned Offline Query Planning via Bayesian Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Haydn Jones, Jacob R. Gardner, Jeffrey Tao, Natalie Maus, Ryan Marcus, Yimeng Zeng","submitted_at":"2025-02-07T18:20:19Z","abstract_excerpt":"Analytics database workloads often contain queries that are executed repeatedly. Existing optimization techniques generally prioritize keeping optimization cost low, normally well below the time it takes to execute a single instance of a query. If a given query is going to be executed thousands of times, could it be worth investing significantly more optimization time? In contrast to traditional online query optimizers, we propose an offline query optimizer that searches a wide variety of plans and incorporates query execution as a primitive. Our offline query optimizer combines variational au"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05256","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/2502.05256/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zeuuitS1Uq06wnt9iHJvzn6b6h3/1BrZfj1zNTAAoyjPorX+lSRNFX0MmW3eGnKHzFk6M1EWzpMxqSIMlGeBBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T16:06:08.244277Z"},"content_sha256":"8729eea645d2e482983298533af0a9c69db973bd80e21907e9d053cdf0c81913","schema_version":"1.0","event_id":"sha256:8729eea645d2e482983298533af0a9c69db973bd80e21907e9d053cdf0c81913"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5IAJHTQJFU6SV3TSTSUHVRWPRF/bundle.json","state_url":"https://pith.science/pith/5IAJHTQJFU6SV3TSTSUHVRWPRF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5IAJHTQJFU6SV3TSTSUHVRWPRF/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":"2026-08-09T16:06:08Z","links":{"resolver":"https://pith.science/pith/5IAJHTQJFU6SV3TSTSUHVRWPRF","bundle":"https://pith.science/pith/5IAJHTQJFU6SV3TSTSUHVRWPRF/bundle.json","state":"https://pith.science/pith/5IAJHTQJFU6SV3TSTSUHVRWPRF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5IAJHTQJFU6SV3TSTSUHVRWPRF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:5IAJHTQJFU6SV3TSTSUHVRWPRF","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":"a3463508c573daa7d4c2150c4e1bf67ff157012cf28a1c7f313d9982c3f9d255","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-02-07T18:20:19Z","title_canon_sha256":"5258fef2802bb53f570db7850d005324fbbaab853186140d25bb0f65ae236c7f"},"schema_version":"1.0","source":{"id":"2502.05256","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.05256","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.05256v1","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.05256","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"5IAJHTQJFU6S","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"5IAJHTQJFU6SV3TS","created_at":"2026-07-05T10:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"5IAJHTQJ","created_at":"2026-07-05T10:11:34Z"}],"graph_snapshots":[{"event_id":"sha256:8729eea645d2e482983298533af0a9c69db973bd80e21907e9d053cdf0c81913","target":"graph","created_at":"2026-07-05T10:11:34Z","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/2502.05256/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Analytics database workloads often contain queries that are executed repeatedly. Existing optimization techniques generally prioritize keeping optimization cost low, normally well below the time it takes to execute a single instance of a query. If a given query is going to be executed thousands of times, could it be worth investing significantly more optimization time? In contrast to traditional online query optimizers, we propose an offline query optimizer that searches a wide variety of plans and incorporates query execution as a primitive. Our offline query optimizer combines variational au","authors_text":"Haydn Jones, Jacob R. Gardner, Jeffrey Tao, Natalie Maus, Ryan Marcus, Yimeng Zeng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-02-07T18:20:19Z","title":"Learned Offline Query Planning via Bayesian Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.05256","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":"sha256:14e5f81c37f34db20f67750f8a7dfd338e53ec6ab0110cf262e8dea0f1d06d33","target":"record","created_at":"2026-07-05T10:11:34Z","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":"a3463508c573daa7d4c2150c4e1bf67ff157012cf28a1c7f313d9982c3f9d255","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-02-07T18:20:19Z","title_canon_sha256":"5258fef2802bb53f570db7850d005324fbbaab853186140d25bb0f65ae236c7f"},"schema_version":"1.0","source":{"id":"2502.05256","kind":"arxiv","version":1}},"canonical_sha256":"ea0093ce092d3d2aee729ca87ac6cf89648c461d6c37c1c09269524530bbfcd1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ea0093ce092d3d2aee729ca87ac6cf89648c461d6c37c1c09269524530bbfcd1","first_computed_at":"2026-07-05T10:11:34.992129Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:11:34.992129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SIWZZqLJLovC/7mUceMulFDn1TKPppOFWVVJ8REU0UEy1umyXxToJt1PXOnQj85M7BTn+qwrCk2k52bCTCs0Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:11:34.992666Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.05256","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14e5f81c37f34db20f67750f8a7dfd338e53ec6ab0110cf262e8dea0f1d06d33","sha256:8729eea645d2e482983298533af0a9c69db973bd80e21907e9d053cdf0c81913"],"state_sha256":"6a75b5b4a61c99df2d1ade90627d474d0f2edecff2792c1f6eae64fdc2bc4fcb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BKDv3upAd/cA3AR2Dmziqxd/m0Q+Fp28dN6pfXZffVCSnoGf7Yx5D7x0EHrhT7dr8K1n16C+ARPstQfPAwtYDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T16:06:08.249560Z","bundle_sha256":"4ade17219d13760cbde6763606e6afa6fa99ba1a65be8562f559cfdeda6c1ee3"}}