{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UPHUDS5CKF3AOZ7GRRMY6RYGCR","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":"a45297bf5680388402d385e78d38ec58c9213201220c877cf181f21305e4d32a","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-12T11:55:17Z","title_canon_sha256":"6786f2e33d492c0e35d744d3d4d7cd36aebf5d8c24bb7c46f7d6bb3012a4aa26"},"schema_version":"1.0","source":{"id":"2310.08252","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08252","created_at":"2026-07-05T07:05:48Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08252v2","created_at":"2026-07-05T07:05:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08252","created_at":"2026-07-05T07:05:48Z"},{"alias_kind":"pith_short_12","alias_value":"UPHUDS5CKF3A","created_at":"2026-07-05T07:05:48Z"},{"alias_kind":"pith_short_16","alias_value":"UPHUDS5CKF3AOZ7G","created_at":"2026-07-05T07:05:48Z"},{"alias_kind":"pith_short_8","alias_value":"UPHUDS5C","created_at":"2026-07-05T07:05:48Z"}],"graph_snapshots":[{"event_id":"sha256:daebce17c78d66a94d908a69357eea36c378d1ae9a383e97a9ad36e425552c47","target":"graph","created_at":"2026-07-05T07:05:48Z","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/2310.08252/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, Meta-Black-Box Optimization with Reinforcement Learning (MetaBBO-RL) has showcased the power of leveraging RL at the meta-level to mitigate manual fine-tuning of low-level black-box optimizers. However, this field is hindered by the lack of a unified benchmark. To fill this gap, we introduce MetaBox, the first benchmark platform expressly tailored for developing and evaluating MetaBBO-RL methods. MetaBox offers a flexible algorithmic template that allows users to effortlessly implement their unique designs within the platform. Moreover, it provides a broad spectrum of over 300 proble","authors_text":"Guojun Peng, Hongshu Guo, Jiacheng Chen, Yining Ma, Yue-Jiao Gong, Zeyuan Ma, Zhenrui Li, Zhiguang Cao","cross_cats":["cs.AI","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-12T11:55:17Z","title":"MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08252","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:b01e4bdf0df296c7527b3c64710fdeb45c6220e5e4906e2cdd35a060ec4e6c94","target":"record","created_at":"2026-07-05T07:05:48Z","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":"a45297bf5680388402d385e78d38ec58c9213201220c877cf181f21305e4d32a","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-10-12T11:55:17Z","title_canon_sha256":"6786f2e33d492c0e35d744d3d4d7cd36aebf5d8c24bb7c46f7d6bb3012a4aa26"},"schema_version":"1.0","source":{"id":"2310.08252","kind":"arxiv","version":2}},"canonical_sha256":"a3cf41cba251760767e68c598f47061477cea9c0fcfbe1d3b0fa9163841b6e4f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a3cf41cba251760767e68c598f47061477cea9c0fcfbe1d3b0fa9163841b6e4f","first_computed_at":"2026-07-05T07:05:48.340673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:05:48.340673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YZLrFQdSU6W3NAzIfwRXiCiRLVEB8E9MiRqtJrJuPPBcBiT88kNNm9HLcQ25lTkt+p6wGSrTmXfVCOqaPfioAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:05:48.341154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08252","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b01e4bdf0df296c7527b3c64710fdeb45c6220e5e4906e2cdd35a060ec4e6c94","sha256:daebce17c78d66a94d908a69357eea36c378d1ae9a383e97a9ad36e425552c47"],"state_sha256":"c7179a510afac5db4f3779c75da7eb9266f02e81d740e149eefd43c4988ffd64"}