{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3WQFDTWD5LBP74U2U4XT4O2MBX","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":"0f02014b316ed913c1acf773b1c3d33ba69705302b2057a9d2161d350c60d67a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-12T16:57:45Z","title_canon_sha256":"a87f092d75fb6db74e08a84c9a44fb0e346d5d05d05583bee64023af87326827"},"schema_version":"1.0","source":{"id":"2505.07750","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07750","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07750v1","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07750","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_12","alias_value":"3WQFDTWD5LBP","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_16","alias_value":"3WQFDTWD5LBP74U2","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_8","alias_value":"3WQFDTWD","created_at":"2026-07-05T11:01:52Z"}],"graph_snapshots":[{"event_id":"sha256:e02a166b017cbb062779d7b3082a9e33263557f0cd65753efb525d2920035ac4","target":"graph","created_at":"2026-07-05T11:01:52Z","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/2505.07750/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Algorithm selection, aiming to identify the best algorithm for a given problem, plays a pivotal role in continuous black-box optimization. A common approach involves representing optimization functions using a set of features, which are then used to train a machine learning meta-model for selecting suitable algorithms. Various approaches have demonstrated the effectiveness of these algorithm selection meta-models. However, not all evaluation approaches are equally valid for assessing the performance of meta-models. We highlight methodological issues that frequently occur in the community and s","authors_text":"Ga\\v{s}per Petelin, Gjorgjina Cenikj","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-12T16:57:45Z","title":"The Pitfalls of Benchmarking in Algorithm Selection: What We Are Getting Wrong"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07750","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:ca82536390e718938f3d36842c24ad80f82bad1b4edb18c0b2230694ff66fabc","target":"record","created_at":"2026-07-05T11:01:52Z","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":"0f02014b316ed913c1acf773b1c3d33ba69705302b2057a9d2161d350c60d67a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-12T16:57:45Z","title_canon_sha256":"a87f092d75fb6db74e08a84c9a44fb0e346d5d05d05583bee64023af87326827"},"schema_version":"1.0","source":{"id":"2505.07750","kind":"arxiv","version":1}},"canonical_sha256":"dda051cec3eac2fff29aa72f3e3b4c0de224ae27b52a9fd7894313e0ea0e7ca4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dda051cec3eac2fff29aa72f3e3b4c0de224ae27b52a9fd7894313e0ea0e7ca4","first_computed_at":"2026-07-05T11:01:52.760997Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:52.760997Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"atoH/oNCZwq65tXEB5FvNPP4yOO803DKwh5HAArLhG0lTwTLAC5Z6LMRKAxjWdyY9b64rbXIO0qVkYSL/UM3Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:52.761443Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07750","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ca82536390e718938f3d36842c24ad80f82bad1b4edb18c0b2230694ff66fabc","sha256:e02a166b017cbb062779d7b3082a9e33263557f0cd65753efb525d2920035ac4"],"state_sha256":"2b45686c1f83182eb82de4870269a489bdd24a8c41c47631be6acbf55577b239"}