{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:YI3HMJ7NNYNDGVI7LFHQYOXHJ6","short_pith_number":"pith:YI3HMJ7N","canonical_record":{"source":{"id":"1809.02232","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-09-06T21:53:39Z","cross_cats_sorted":[],"title_canon_sha256":"b4ab19bb1adbc8bc26fd1ac2be6b4f4c3b6ce0d69a406963d31ebfa10b0ad28d","abstract_canon_sha256":"1067219bbed0aa0ae9901a44ce360f6ecd13c7548530ba2fc4abd1a14f5dc0f8"},"schema_version":"1.0"},"canonical_sha256":"c2367627ed6e1a33551f594f0c3ae74f9b6c14ae91ee929902083bb853501420","source":{"kind":"arxiv","id":"1809.02232","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.02232","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"1809.02232v1","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.02232","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"YI3HMJ7NNYND","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YI3HMJ7NNYNDGVI7","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YI3HMJ7N","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:YI3HMJ7NNYNDGVI7LFHQYOXHJ6","target":"record","payload":{"canonical_record":{"source":{"id":"1809.02232","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-09-06T21:53:39Z","cross_cats_sorted":[],"title_canon_sha256":"b4ab19bb1adbc8bc26fd1ac2be6b4f4c3b6ce0d69a406963d31ebfa10b0ad28d","abstract_canon_sha256":"1067219bbed0aa0ae9901a44ce360f6ecd13c7548530ba2fc4abd1a14f5dc0f8"},"schema_version":"1.0"},"canonical_sha256":"c2367627ed6e1a33551f594f0c3ae74f9b6c14ae91ee929902083bb853501420","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:17.607852Z","signature_b64":"U4/Q7g5xP4EKNHvJrHsoCGrRhYYYq6M6Btlp8EjzQte2fDDSUXetuAHvGdv/ioYe6t8fcnUxGldpPaqYItXMBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2367627ed6e1a33551f594f0c3ae74f9b6c14ae91ee929902083bb853501420","last_reissued_at":"2026-05-18T00:06:17.607354Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:17.607354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.02232","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":"2026-05-18T00:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A61JkVpk+/ZPELagJPXakIFYWBzhS+3J+E0FEErq0L0dM5I14KynUE71IKXLeUEK+9zaik/q5c74I1k6X0NMDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T04:32:03.140687Z"},"content_sha256":"8662a84719a90a3204078d7df0b35fa68cdc69ca08eef976666c5060a1e40db6","schema_version":"1.0","event_id":"sha256:8662a84719a90a3204078d7df0b35fa68cdc69ca08eef976666c5060a1e40db6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:YI3HMJ7NNYNDGVI7LFHQYOXHJ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Game Design via Conceptual Expansion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Mark Riedl, Matthew Guzdial","submitted_at":"2018-09-06T21:53:39Z","abstract_excerpt":"Automated game design has remained a key challenge within the field of Game AI. In this paper, we introduce a method for recombining existing games to create new games through a process called conceptual expansion. Prior automated game design approaches have relied on hand-authored or crowd-sourced knowledge, which limits the scope and applications of such systems. Our approach instead relies on machine learning to learn approximate representations of games. Our approach recombines knowledge from these learned representations to create new games via conceptual expansion. We evaluate this appro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.02232","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":""},"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":"2026-05-18T00:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"edvSYEoIdtWi4bWssSwif4hNKFUbI5E7+ohvGCK8CaTa+PJXye8ZZId7auf7Y1sexv0rI3H6j6GDRM7gGwm8Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T04:32:03.141039Z"},"content_sha256":"6c74ad8635ba37378be28213413ed636fb4ae0510dae8167deef918a6f8bb33b","schema_version":"1.0","event_id":"sha256:6c74ad8635ba37378be28213413ed636fb4ae0510dae8167deef918a6f8bb33b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YI3HMJ7NNYNDGVI7LFHQYOXHJ6/bundle.json","state_url":"https://pith.science/pith/YI3HMJ7NNYNDGVI7LFHQYOXHJ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YI3HMJ7NNYNDGVI7LFHQYOXHJ6/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":"2026-06-12T04:32:03Z","links":{"resolver":"https://pith.science/pith/YI3HMJ7NNYNDGVI7LFHQYOXHJ6","bundle":"https://pith.science/pith/YI3HMJ7NNYNDGVI7LFHQYOXHJ6/bundle.json","state":"https://pith.science/pith/YI3HMJ7NNYNDGVI7LFHQYOXHJ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YI3HMJ7NNYNDGVI7LFHQYOXHJ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:YI3HMJ7NNYNDGVI7LFHQYOXHJ6","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":"1067219bbed0aa0ae9901a44ce360f6ecd13c7548530ba2fc4abd1a14f5dc0f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-09-06T21:53:39Z","title_canon_sha256":"b4ab19bb1adbc8bc26fd1ac2be6b4f4c3b6ce0d69a406963d31ebfa10b0ad28d"},"schema_version":"1.0","source":{"id":"1809.02232","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.02232","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"1809.02232v1","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.02232","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"YI3HMJ7NNYND","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YI3HMJ7NNYNDGVI7","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YI3HMJ7N","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:6c74ad8635ba37378be28213413ed636fb4ae0510dae8167deef918a6f8bb33b","target":"graph","created_at":"2026-05-18T00:06:17Z","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"},"paper":{"abstract_excerpt":"Automated game design has remained a key challenge within the field of Game AI. In this paper, we introduce a method for recombining existing games to create new games through a process called conceptual expansion. Prior automated game design approaches have relied on hand-authored or crowd-sourced knowledge, which limits the scope and applications of such systems. Our approach instead relies on machine learning to learn approximate representations of games. Our approach recombines knowledge from these learned representations to create new games via conceptual expansion. We evaluate this appro","authors_text":"Mark Riedl, Matthew Guzdial","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-09-06T21:53:39Z","title":"Automated Game Design via Conceptual Expansion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.02232","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":"sha256:8662a84719a90a3204078d7df0b35fa68cdc69ca08eef976666c5060a1e40db6","target":"record","created_at":"2026-05-18T00:06:17Z","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":"1067219bbed0aa0ae9901a44ce360f6ecd13c7548530ba2fc4abd1a14f5dc0f8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-09-06T21:53:39Z","title_canon_sha256":"b4ab19bb1adbc8bc26fd1ac2be6b4f4c3b6ce0d69a406963d31ebfa10b0ad28d"},"schema_version":"1.0","source":{"id":"1809.02232","kind":"arxiv","version":1}},"canonical_sha256":"c2367627ed6e1a33551f594f0c3ae74f9b6c14ae91ee929902083bb853501420","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2367627ed6e1a33551f594f0c3ae74f9b6c14ae91ee929902083bb853501420","first_computed_at":"2026-05-18T00:06:17.607354Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:17.607354Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U4/Q7g5xP4EKNHvJrHsoCGrRhYYYq6M6Btlp8EjzQte2fDDSUXetuAHvGdv/ioYe6t8fcnUxGldpPaqYItXMBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:17.607852Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.02232","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8662a84719a90a3204078d7df0b35fa68cdc69ca08eef976666c5060a1e40db6","sha256:6c74ad8635ba37378be28213413ed636fb4ae0510dae8167deef918a6f8bb33b"],"state_sha256":"dd069319ad2669eac2ceb1f4d019501b012e07b57ad5a424e7596c0b93442576"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Xi2r3hBDYug74C9sAYPtIJvRFVCHUdnZbK8ZBNkmztEo9ls1wC+RitLkrtSyg0mXOFh8GPPdHskqxL6+YQPBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T04:32:03.143739Z","bundle_sha256":"2692b10b180bbdba242dc2ba2eecbb81d1043ccc16d39a5ef5e5daab362bf1a6"}}