{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TT7OA7WOJHKXHTSWWNMQFNASU3","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":"4e3038e542920cec04c22682c42a7c63ffdfcc2d20b9d55dfad293d97bff8f26","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-06T15:10:46Z","title_canon_sha256":"7d677233c4fcecd1d02748452474ec3400f9fa9103e8fcad2bc4558e41855333"},"schema_version":"1.0","source":{"id":"2405.03547","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.03547","created_at":"2026-07-05T08:17:15Z"},{"alias_kind":"arxiv_version","alias_value":"2405.03547v2","created_at":"2026-07-05T08:17:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.03547","created_at":"2026-07-05T08:17:15Z"},{"alias_kind":"pith_short_12","alias_value":"TT7OA7WOJHKX","created_at":"2026-07-05T08:17:15Z"},{"alias_kind":"pith_short_16","alias_value":"TT7OA7WOJHKXHTSW","created_at":"2026-07-05T08:17:15Z"},{"alias_kind":"pith_short_8","alias_value":"TT7OA7WO","created_at":"2026-07-05T08:17:15Z"}],"graph_snapshots":[{"event_id":"sha256:5d13b5bc0ef070b22a9c0c6bcbb48fb986e1f76f3fe7db4a9fa56cd249812536","target":"graph","created_at":"2026-07-05T08:17:15Z","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/2405.03547/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Undeniably, Large Language Models (LLMs) have stirred an extraordinary wave of innovation in the machine learning research domain, resulting in substantial impact across diverse fields such as reinforcement learning, robotics, and computer vision. Their incorporation has been rapid and transformative, marking a significant paradigm shift in the field of machine learning research. However, the field of experimental design, grounded on black-box optimization, has been much less affected by such a paradigm shift, even though integrating LLMs with optimization presents a unique landscape ripe for ","authors_text":"Chansoo Lee, Robert Tjarko Lange, Xingyou Song, Yingtao Tian, Yujin Tang, Yutian Chen","cross_cats":["cs.AI","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-06T15:10:46Z","title":"Position: Leverage Foundational Models for Black-Box Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.03547","kind":"arxiv","version":2},"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:fe54dc20c55f128db71bd01dae011d03ac2d59ed678edee897cf72fdf8ecf77e","target":"record","created_at":"2026-07-05T08:17:15Z","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":"4e3038e542920cec04c22682c42a7c63ffdfcc2d20b9d55dfad293d97bff8f26","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-06T15:10:46Z","title_canon_sha256":"7d677233c4fcecd1d02748452474ec3400f9fa9103e8fcad2bc4558e41855333"},"schema_version":"1.0","source":{"id":"2405.03547","kind":"arxiv","version":2}},"canonical_sha256":"9cfee07ece49d573ce56b35902b412a6daca5e60f6604d6eda8d1b70271121aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9cfee07ece49d573ce56b35902b412a6daca5e60f6604d6eda8d1b70271121aa","first_computed_at":"2026-07-05T08:17:15.383444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:17:15.383444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zXYd5v+EWzORcKJ0StYQquzi4DjPYGS2CCLwGV0E9S1BWVx/bV+0hgejgKz5qmeif1CwY7JCAosoCDYlQE84CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:17:15.383897Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.03547","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fe54dc20c55f128db71bd01dae011d03ac2d59ed678edee897cf72fdf8ecf77e","sha256:5d13b5bc0ef070b22a9c0c6bcbb48fb986e1f76f3fe7db4a9fa56cd249812536"],"state_sha256":"74e9b0945ce3938348ebd44b4806c11c974b60d1e144b9fd54fa2d927adabd85"}