{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:D4IUBYT5V6W3X4RRCK5UVH6GVS","short_pith_number":"pith:D4IUBYT5","schema_version":"1.0","canonical_sha256":"1f1140e27dafadbbf23112bb4a9fc6acaed64a8ac17de2d74b59e949ba6ae668","source":{"kind":"arxiv","id":"2607.09073","version":1},"attestation_state":"computed","paper":{"title":"Pitfalls and Remedies for Multi-Task Bayesian Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Carl Hvarfner, Eytan Bakshy, Max Balandat, Sam Daulton","submitted_at":"2026-07-10T03:38:36Z","abstract_excerpt":"Bayesian optimization routinely warm-starts a target experiment with data from related source tasks, and the multi-task Gaussian process is the textbook surrogate for the job. We revisit this default in a controlled setting and find that it misestimates the cross-task correlation even in the simplest non-trivial case, affinely related source and target tasks, where a working transfer learning method should obviously succeed. We trace the failure to two independent structural mechanisms. Per-task standardization, the textbook fix for the affine slice ambiguity, propagates a finite-sample alignm"},"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":"2607.09073","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-07-10T03:38:36Z","cross_cats_sorted":[],"title_canon_sha256":"b8c051359571ffbc800521a283407ad200b27973c2dd0ddbed29049e93d8919b","abstract_canon_sha256":"cb31873e707073b8c7d054608a95c6b27c875a5402e05d0b7f12894d718315e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-13T00:17:39.672852Z","signature_b64":"rSWTitzVfMqpsUnBOvGF4gk99cD5AtJMrdA2WiRA1KLcHcw3m9nCBxjJGmj2tsAhjz25Ob3mUnLxIJ9O+AdXDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f1140e27dafadbbf23112bb4a9fc6acaed64a8ac17de2d74b59e949ba6ae668","last_reissued_at":"2026-07-13T00:17:39.671591Z","signature_status":"signed_v1","first_computed_at":"2026-07-13T00:17:39.671591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Pitfalls and Remedies for Multi-Task Bayesian Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Carl Hvarfner, Eytan Bakshy, Max Balandat, Sam Daulton","submitted_at":"2026-07-10T03:38:36Z","abstract_excerpt":"Bayesian optimization routinely warm-starts a target experiment with data from related source tasks, and the multi-task Gaussian process is the textbook surrogate for the job. We revisit this default in a controlled setting and find that it misestimates the cross-task correlation even in the simplest non-trivial case, affinely related source and target tasks, where a working transfer learning method should obviously succeed. We trace the failure to two independent structural mechanisms. Per-task standardization, the textbook fix for the affine slice ambiguity, propagates a finite-sample alignm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09073","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/2607.09073/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":"2607.09073","created_at":"2026-07-13T00:17:39.672240+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.09073v1","created_at":"2026-07-13T00:17:39.672240+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09073","created_at":"2026-07-13T00:17:39.672240+00:00"},{"alias_kind":"pith_short_12","alias_value":"D4IUBYT5V6W3","created_at":"2026-07-13T00:17:39.672240+00:00"},{"alias_kind":"pith_short_16","alias_value":"D4IUBYT5V6W3X4RR","created_at":"2026-07-13T00:17:39.672240+00:00"},{"alias_kind":"pith_short_8","alias_value":"D4IUBYT5","created_at":"2026-07-13T00:17:39.672240+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2608.09104","citing_title":"Multitask Scanning Probe Microscopy","ref_index":34,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS","json":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS.json","graph_json":"https://pith.science/api/pith-number/D4IUBYT5V6W3X4RRCK5UVH6GVS/graph.json","events_json":"https://pith.science/api/pith-number/D4IUBYT5V6W3X4RRCK5UVH6GVS/events.json","paper":"https://pith.science/paper/D4IUBYT5"},"agent_actions":{"view_html":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS","download_json":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS.json","view_paper":"https://pith.science/paper/D4IUBYT5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.09073&json=true","fetch_graph":"https://pith.science/api/pith-number/D4IUBYT5V6W3X4RRCK5UVH6GVS/graph.json","fetch_events":"https://pith.science/api/pith-number/D4IUBYT5V6W3X4RRCK5UVH6GVS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS/action/storage_attestation","attest_author":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS/action/author_attestation","sign_citation":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS/action/citation_signature","submit_replication":"https://pith.science/pith/D4IUBYT5V6W3X4RRCK5UVH6GVS/action/replication_record"}},"created_at":"2026-07-13T00:17:39.672240+00:00","updated_at":"2026-07-13T00:17:39.672240+00:00"}