{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JMJ4VBHYFG7I456GCGLJIWGRRL","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":"687c42c1848a46c71240f39184ccf282aadeeb8c563712e1716249571f37dd30","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-19T14:25:06Z","title_canon_sha256":"9d09fbdeada7939d28cbc578afbf7058cfa8d188a84823ef8011f8d33a8ba78f"},"schema_version":"1.0","source":{"id":"2310.12774","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.12774","created_at":"2026-07-05T07:02:42Z"},{"alias_kind":"arxiv_version","alias_value":"2310.12774v1","created_at":"2026-07-05T07:02:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.12774","created_at":"2026-07-05T07:02:42Z"},{"alias_kind":"pith_short_12","alias_value":"JMJ4VBHYFG7I","created_at":"2026-07-05T07:02:42Z"},{"alias_kind":"pith_short_16","alias_value":"JMJ4VBHYFG7I456G","created_at":"2026-07-05T07:02:42Z"},{"alias_kind":"pith_short_8","alias_value":"JMJ4VBHY","created_at":"2026-07-05T07:02:42Z"}],"graph_snapshots":[{"event_id":"sha256:93be145f85d997c605c797e56a43cecf54403de74650940955f3968e5bf77739","target":"graph","created_at":"2026-07-05T07:02:42Z","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/2310.12774/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Prompt-based learning has been an effective paradigm for large pretrained language models (LLM), enabling few-shot or even zero-shot learning. Black-box prompt search has received growing interest recently for its distinctive properties of gradient-free optimization, proven particularly useful and powerful for model-as-a-service usage. However, the discrete nature and the complexity of combinatorial optimization hinder the efficiency of modern black-box approaches. Despite extensive research on search algorithms, the crucial aspect of search space design and optimization has been largely overl","authors_text":"Anna Korhonen, Han Zhou, Ivan Vuli\\'c, Xingchen Wan","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-19T14:25:06Z","title":"Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.12774","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":"sha256:01db838f7471cbf86c95d7bb5f9adf120109fc9ee733faf96eeba7df3d671bf5","target":"record","created_at":"2026-07-05T07:02:42Z","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":"687c42c1848a46c71240f39184ccf282aadeeb8c563712e1716249571f37dd30","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-10-19T14:25:06Z","title_canon_sha256":"9d09fbdeada7939d28cbc578afbf7058cfa8d188a84823ef8011f8d33a8ba78f"},"schema_version":"1.0","source":{"id":"2310.12774","kind":"arxiv","version":1}},"canonical_sha256":"4b13ca84f829be8e77c611969458d18ad36ff2c5a4f35af97f62649e8454f30d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b13ca84f829be8e77c611969458d18ad36ff2c5a4f35af97f62649e8454f30d","first_computed_at":"2026-07-05T07:02:42.662660Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:42.662660Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ihFNaaWt/dq2o7HCWuOoyr9rIcNjzcllc4Ejhpo8l9lpLNNUzhefi+opluFTroOOh4VKFOrIPwaYKaHg6iDHBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:42.663039Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.12774","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01db838f7471cbf86c95d7bb5f9adf120109fc9ee733faf96eeba7df3d671bf5","sha256:93be145f85d997c605c797e56a43cecf54403de74650940955f3968e5bf77739"],"state_sha256":"bc24d8ec0c8146e00537076f500704705577b4cc02b3370e8518c35973abc79e"}