{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EVSBLAA4NKOV3PR65MLWX6TDSG","short_pith_number":"pith:EVSBLAA4","canonical_record":{"source":{"id":"2406.11875","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-07T08:18:42Z","cross_cats_sorted":[],"title_canon_sha256":"2a36640a9a6164ecf8d338b844f84d4b2c61d3e51fed67683ee977c20270d911","abstract_canon_sha256":"fea14ce0baa96819af4c2b2855f25b9ccf04f5571698029d00fa9f447fb69fdf"},"schema_version":"1.0"},"canonical_sha256":"256415801c6a9d5dbe3eeb176bfa63919f9b6f54eee316aebb469fd614fe6d1b","source":{"kind":"arxiv","id":"2406.11875","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11875","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11875v1","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11875","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"pith_short_12","alias_value":"EVSBLAA4NKOV","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"pith_short_16","alias_value":"EVSBLAA4NKOV3PR6","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"pith_short_8","alias_value":"EVSBLAA4","created_at":"2026-07-05T08:33:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EVSBLAA4NKOV3PR65MLWX6TDSG","target":"record","payload":{"canonical_record":{"source":{"id":"2406.11875","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-07T08:18:42Z","cross_cats_sorted":[],"title_canon_sha256":"2a36640a9a6164ecf8d338b844f84d4b2c61d3e51fed67683ee977c20270d911","abstract_canon_sha256":"fea14ce0baa96819af4c2b2855f25b9ccf04f5571698029d00fa9f447fb69fdf"},"schema_version":"1.0"},"canonical_sha256":"256415801c6a9d5dbe3eeb176bfa63919f9b6f54eee316aebb469fd614fe6d1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:33:02.973916Z","signature_b64":"SUmZAZQ58m+QY6hHEJQP3bYrA0jPxNvGye9slNDDPb/wRJ7LC/u4R6gc0IJqqGJqEz6L9s8N+9FmovepLG3lDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"256415801c6a9d5dbe3eeb176bfa63919f9b6f54eee316aebb469fd614fe6d1b","last_reissued_at":"2026-07-05T08:33:02.973471Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:33:02.973471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.11875","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:33:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xKQX0IsY57HsUVOBPF+YZsnFSexlMqKIc0yO4+gmKYnNZ4EyKBloc20i9/Ohq3ecP+RJeWPc9PcXZCyXZI9RCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:19:04.733649Z"},"content_sha256":"f7c3e47d00a3f7b1e7bfe7df65e9c76b6930a9fcb152842a08a80ee41eaa97c0","schema_version":"1.0","event_id":"sha256:f7c3e47d00a3f7b1e7bfe7df65e9c76b6930a9fcb152842a08a80ee41eaa97c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EVSBLAA4NKOV3PR65MLWX6TDSG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Cheong-mok Bae, In-Chang Baek, Jin-Ha Noh, Kyung-Joong Kim, Tae-Hwa Park","submitted_at":"2024-06-07T08:18:42Z","abstract_excerpt":"Driven by the rapid growth of machine learning, recent advances in game artificial intelligence (AI) have significantly impacted productivity across various gaming genres. Reward design plays a pivotal role in training game AI models, wherein researchers implement concepts of specific reward functions. However, despite the presence of AI, the reward design process predominantly remains in the domain of human experts, as it is heavily reliant on their creativity and engineering skills. Therefore, this paper proposes ChatPCG, a large language model (LLM)-driven reward design framework.It leverag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11875","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.11875/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:33:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zudKorYh+q0BkzEsqwOR5Re0gqon0HolvVMezl/QQ2zgufrwO7z/hdaUvmCusVqjIllG6KVwsf/FuYbNHTElBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T08:19:04.734595Z"},"content_sha256":"cc01038ce8bbf0ee4ae851b896c067468ad2ee96f6e8a0c806d8b055364a84b3","schema_version":"1.0","event_id":"sha256:cc01038ce8bbf0ee4ae851b896c067468ad2ee96f6e8a0c806d8b055364a84b3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EVSBLAA4NKOV3PR65MLWX6TDSG/bundle.json","state_url":"https://pith.science/pith/EVSBLAA4NKOV3PR65MLWX6TDSG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EVSBLAA4NKOV3PR65MLWX6TDSG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T08:19:04Z","links":{"resolver":"https://pith.science/pith/EVSBLAA4NKOV3PR65MLWX6TDSG","bundle":"https://pith.science/pith/EVSBLAA4NKOV3PR65MLWX6TDSG/bundle.json","state":"https://pith.science/pith/EVSBLAA4NKOV3PR65MLWX6TDSG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EVSBLAA4NKOV3PR65MLWX6TDSG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EVSBLAA4NKOV3PR65MLWX6TDSG","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":"fea14ce0baa96819af4c2b2855f25b9ccf04f5571698029d00fa9f447fb69fdf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-07T08:18:42Z","title_canon_sha256":"2a36640a9a6164ecf8d338b844f84d4b2c61d3e51fed67683ee977c20270d911"},"schema_version":"1.0","source":{"id":"2406.11875","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11875","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11875v1","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11875","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"pith_short_12","alias_value":"EVSBLAA4NKOV","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"pith_short_16","alias_value":"EVSBLAA4NKOV3PR6","created_at":"2026-07-05T08:33:02Z"},{"alias_kind":"pith_short_8","alias_value":"EVSBLAA4","created_at":"2026-07-05T08:33:02Z"}],"graph_snapshots":[{"event_id":"sha256:cc01038ce8bbf0ee4ae851b896c067468ad2ee96f6e8a0c806d8b055364a84b3","target":"graph","created_at":"2026-07-05T08:33:02Z","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/2406.11875/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Driven by the rapid growth of machine learning, recent advances in game artificial intelligence (AI) have significantly impacted productivity across various gaming genres. Reward design plays a pivotal role in training game AI models, wherein researchers implement concepts of specific reward functions. However, despite the presence of AI, the reward design process predominantly remains in the domain of human experts, as it is heavily reliant on their creativity and engineering skills. Therefore, this paper proposes ChatPCG, a large language model (LLM)-driven reward design framework.It leverag","authors_text":"Cheong-mok Bae, In-Chang Baek, Jin-Ha Noh, Kyung-Joong Kim, Tae-Hwa Park","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-07T08:18:42Z","title":"ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11875","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:f7c3e47d00a3f7b1e7bfe7df65e9c76b6930a9fcb152842a08a80ee41eaa97c0","target":"record","created_at":"2026-07-05T08:33:02Z","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":"fea14ce0baa96819af4c2b2855f25b9ccf04f5571698029d00fa9f447fb69fdf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-07T08:18:42Z","title_canon_sha256":"2a36640a9a6164ecf8d338b844f84d4b2c61d3e51fed67683ee977c20270d911"},"schema_version":"1.0","source":{"id":"2406.11875","kind":"arxiv","version":1}},"canonical_sha256":"256415801c6a9d5dbe3eeb176bfa63919f9b6f54eee316aebb469fd614fe6d1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"256415801c6a9d5dbe3eeb176bfa63919f9b6f54eee316aebb469fd614fe6d1b","first_computed_at":"2026-07-05T08:33:02.973471Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:33:02.973471Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SUmZAZQ58m+QY6hHEJQP3bYrA0jPxNvGye9slNDDPb/wRJ7LC/u4R6gc0IJqqGJqEz6L9s8N+9FmovepLG3lDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:33:02.973916Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11875","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7c3e47d00a3f7b1e7bfe7df65e9c76b6930a9fcb152842a08a80ee41eaa97c0","sha256:cc01038ce8bbf0ee4ae851b896c067468ad2ee96f6e8a0c806d8b055364a84b3"],"state_sha256":"2f56ed38662d8cd0df39d55e085a376c82c4bbf609680a104e927ac5469f1614"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hXeysVE83G6xMjaSvLNsb+5ycPO10uVmYIwc5U945+1MntGzY9aNe//NTan+aUmoCqyLBoTJIRSXwpOEgFZsCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T08:19:04.743053Z","bundle_sha256":"11bfb535b12447c23893b50aa4e77b37138ef062f0ba47fae2778ae9f1567c7d"}}