{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QA6OUCGD52CQEU5TMLCVTKHVF2","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":"c351945beb6db79b6fdb4c07aeef29ff1347528fb63ed1dae368b9750be99fe0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-05-15T17:48:18Z","title_canon_sha256":"4163b483d1475efb88642dbaf970a821a0969ef57137fb8375ba837567e22896"},"schema_version":"1.0","source":{"id":"2005.07677","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.07677","created_at":"2026-07-05T01:13:44Z"},{"alias_kind":"arxiv_version","alias_value":"2005.07677v2","created_at":"2026-07-05T01:13:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.07677","created_at":"2026-07-05T01:13:44Z"},{"alias_kind":"pith_short_12","alias_value":"QA6OUCGD52CQ","created_at":"2026-07-05T01:13:44Z"},{"alias_kind":"pith_short_16","alias_value":"QA6OUCGD52CQEU5T","created_at":"2026-07-05T01:13:44Z"},{"alias_kind":"pith_short_8","alias_value":"QA6OUCGD","created_at":"2026-07-05T01:13:44Z"}],"graph_snapshots":[{"event_id":"sha256:0eab2adc76e0caefd8344f67dcb2ce1c04f2c193d7f8f0993c497c990c336202","target":"graph","created_at":"2026-07-05T01:13:44Z","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/2005.07677/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Methods for dynamic difficulty adjustment allow games to be tailored to particular players to maximize their engagement. However, current methods often only modify a limited set of game features such as the difficulty of the opponents, or the availability of resources. Other approaches, such as experience-driven Procedural Content Generation (PCG), can generate complete levels with desired properties such as levels that are neither too hard nor too easy, but require many iterations. This paper presents a method that can generate and search for complete levels with a specific target difficulty ","authors_text":"David Ha, Miguel Gonz\\'alez-Duque, Rasmus Berg Palm, Sebastian Risi","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-05-15T17:48:18Z","title":"Finding Game Levels with the Right Difficulty in a Few Trials through Intelligent Trial-and-Error"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.07677","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":"sha256:1618c38820a262961b0a8208b70dcd2e5c47bf126101b85e3beaf2b7ee6eac0d","target":"record","created_at":"2026-07-05T01:13:44Z","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":"c351945beb6db79b6fdb4c07aeef29ff1347528fb63ed1dae368b9750be99fe0","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2020-05-15T17:48:18Z","title_canon_sha256":"4163b483d1475efb88642dbaf970a821a0969ef57137fb8375ba837567e22896"},"schema_version":"1.0","source":{"id":"2005.07677","kind":"arxiv","version":2}},"canonical_sha256":"803cea08c3ee850253b362c559a8f52eb7615b307088deb3b8b07da7d1fb5891","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"803cea08c3ee850253b362c559a8f52eb7615b307088deb3b8b07da7d1fb5891","first_computed_at":"2026-07-05T01:13:44.960493Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:13:44.960493Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rIfpIh6KAqf9EI8oFvhaBUxk5HiTnq9VBWkVLCVkF+xzfk9JkoE+5FBKMDWu0Ge/MPgWJ9Us+LlQTZnmflQuCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:13:44.960960Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.07677","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1618c38820a262961b0a8208b70dcd2e5c47bf126101b85e3beaf2b7ee6eac0d","sha256:0eab2adc76e0caefd8344f67dcb2ce1c04f2c193d7f8f0993c497c990c336202"],"state_sha256":"f6ae6fd74b3a51972f28ade7ed20296064c0eabb3cd7310079547fa0d629d775"}