{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:RLYXR55BHOSFG6CU3IKWIXNAXA","short_pith_number":"pith:RLYXR55B","canonical_record":{"source":{"id":"1802.05219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-14T17:17:54Z","cross_cats_sorted":[],"title_canon_sha256":"d7197d6f637b36e71b019d4ed6fc5fb0591edb82f82e3f5cc62a4ef6ba3cb7ea","abstract_canon_sha256":"620b2b1b7f63e89e992c11d61caec48c059e3839c0f9e7a0c3ec19c0248f4fd3"},"schema_version":"1.0"},"canonical_sha256":"8af178f7a13ba4537854da15645da0b83cbf9b22b80a8743a0ab3ad7336b15c8","source":{"kind":"arxiv","id":"1802.05219","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.05219","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"1802.05219v1","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.05219","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"RLYXR55BHOSF","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RLYXR55BHOSFG6CU","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RLYXR55B","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:RLYXR55BHOSFG6CU3IKWIXNAXA","target":"record","payload":{"canonical_record":{"source":{"id":"1802.05219","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-14T17:17:54Z","cross_cats_sorted":[],"title_canon_sha256":"d7197d6f637b36e71b019d4ed6fc5fb0591edb82f82e3f5cc62a4ef6ba3cb7ea","abstract_canon_sha256":"620b2b1b7f63e89e992c11d61caec48c059e3839c0f9e7a0c3ec19c0248f4fd3"},"schema_version":"1.0"},"canonical_sha256":"8af178f7a13ba4537854da15645da0b83cbf9b22b80a8743a0ab3ad7336b15c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:23:04.599488Z","signature_b64":"O6EiiWzYZYGC4n2T/C0eGTO+qooxl2koyhdAYoIalfEGQq31+PcT/ZyxSwSrJjXsdbk/io6WkNWBEPjIXiqjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8af178f7a13ba4537854da15645da0b83cbf9b22b80a8743a0ab3ad7336b15c8","last_reissued_at":"2026-05-18T00:23:04.598863Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:23:04.598863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1802.05219","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":"2026-05-18T00:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mtQPcPG9cwAeQQIQ6S21q8/VIFP/gv4Z9g6WPbd16zrkeXtpn1Bu/Oz1Nu6a45IFLfg+lKtM59gOv7BFMW9GAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:01:41.468913Z"},"content_sha256":"8146deb2f98b599e4cf6d9a87b0ba28f05bbc78d8f578ab112f13a57ef1cce7c","schema_version":"1.0","event_id":"sha256:8146deb2f98b599e4cf6d9a87b0ba28f05bbc78d8f578ab112f13a57ef1cce7c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:RLYXR55BHOSFG6CU3IKWIXNAXA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Who Killed Albert Einstein? From Open Data to Murder Mystery Games","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Antonios Liapis, Gabriella A. B. Barros, Julian Togelius, Michael Cerny Green","submitted_at":"2018-02-14T17:17:54Z","abstract_excerpt":"This paper presents a framework for generating adventure games from open data. Focusing on the murder mystery type of adventure games, the generator is able to transform open data from Wikipedia articles, OpenStreetMap and images from Wikimedia Commons into WikiMysteries. Every WikiMystery game revolves around the murder of a person with a Wikipedia article and populates the game with suspects who must be arrested by the player if guilty of the murder or absolved if innocent. Starting from only one person as the victim, an extensive generative pipeline finds suspects, their alibis, and paths c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.05219","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":"2026-05-18T00:23:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M9OFgmgm2thGxPYcHQv1VBTAIxQtePD/DYTRm/meeA+EBEeYiUS1nMXGBV6AWMzELdv2sBZCOR00y3gLAwyoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:01:41.469638Z"},"content_sha256":"2d291790e87dfdcf8e99e6d501a112880c777355a4249e12ffe148eacc564cbc","schema_version":"1.0","event_id":"sha256:2d291790e87dfdcf8e99e6d501a112880c777355a4249e12ffe148eacc564cbc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RLYXR55BHOSFG6CU3IKWIXNAXA/bundle.json","state_url":"https://pith.science/pith/RLYXR55BHOSFG6CU3IKWIXNAXA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RLYXR55BHOSFG6CU3IKWIXNAXA/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":"2026-05-26T00:01:41Z","links":{"resolver":"https://pith.science/pith/RLYXR55BHOSFG6CU3IKWIXNAXA","bundle":"https://pith.science/pith/RLYXR55BHOSFG6CU3IKWIXNAXA/bundle.json","state":"https://pith.science/pith/RLYXR55BHOSFG6CU3IKWIXNAXA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RLYXR55BHOSFG6CU3IKWIXNAXA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:RLYXR55BHOSFG6CU3IKWIXNAXA","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":"620b2b1b7f63e89e992c11d61caec48c059e3839c0f9e7a0c3ec19c0248f4fd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-14T17:17:54Z","title_canon_sha256":"d7197d6f637b36e71b019d4ed6fc5fb0591edb82f82e3f5cc62a4ef6ba3cb7ea"},"schema_version":"1.0","source":{"id":"1802.05219","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.05219","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"arxiv_version","alias_value":"1802.05219v1","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.05219","created_at":"2026-05-18T00:23:04Z"},{"alias_kind":"pith_short_12","alias_value":"RLYXR55BHOSF","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RLYXR55BHOSFG6CU","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RLYXR55B","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:2d291790e87dfdcf8e99e6d501a112880c777355a4249e12ffe148eacc564cbc","target":"graph","created_at":"2026-05-18T00:23:04Z","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":"This paper presents a framework for generating adventure games from open data. Focusing on the murder mystery type of adventure games, the generator is able to transform open data from Wikipedia articles, OpenStreetMap and images from Wikimedia Commons into WikiMysteries. Every WikiMystery game revolves around the murder of a person with a Wikipedia article and populates the game with suspects who must be arrested by the player if guilty of the murder or absolved if innocent. Starting from only one person as the victim, an extensive generative pipeline finds suspects, their alibis, and paths c","authors_text":"Antonios Liapis, Gabriella A. B. Barros, Julian Togelius, Michael Cerny Green","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-14T17:17:54Z","title":"Who Killed Albert Einstein? From Open Data to Murder Mystery Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.05219","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":"sha256:8146deb2f98b599e4cf6d9a87b0ba28f05bbc78d8f578ab112f13a57ef1cce7c","target":"record","created_at":"2026-05-18T00:23:04Z","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":"620b2b1b7f63e89e992c11d61caec48c059e3839c0f9e7a0c3ec19c0248f4fd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-02-14T17:17:54Z","title_canon_sha256":"d7197d6f637b36e71b019d4ed6fc5fb0591edb82f82e3f5cc62a4ef6ba3cb7ea"},"schema_version":"1.0","source":{"id":"1802.05219","kind":"arxiv","version":1}},"canonical_sha256":"8af178f7a13ba4537854da15645da0b83cbf9b22b80a8743a0ab3ad7336b15c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8af178f7a13ba4537854da15645da0b83cbf9b22b80a8743a0ab3ad7336b15c8","first_computed_at":"2026-05-18T00:23:04.598863Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:23:04.598863Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O6EiiWzYZYGC4n2T/C0eGTO+qooxl2koyhdAYoIalfEGQq31+PcT/ZyxSwSrJjXsdbk/io6WkNWBEPjIXiqjBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:23:04.599488Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.05219","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8146deb2f98b599e4cf6d9a87b0ba28f05bbc78d8f578ab112f13a57ef1cce7c","sha256:2d291790e87dfdcf8e99e6d501a112880c777355a4249e12ffe148eacc564cbc"],"state_sha256":"87161d35f9599683986d4a3dd2933b7dad3d12ea5fadca63147acd4bdd276b96"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HUzBl17rDgJbasXliwcr7Cc8NZDYyh8NLJMf2waMXFIZKGYVOh4YkRf+BCf5l+kMyzdpgjW1QCDK5IOyoXjWAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T00:01:41.473002Z","bundle_sha256":"024c6fe8143dc12aa39c77e6741b5bd35595ae91baaa5ad360fafc4b5ef4f813"}}