{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:AISPKQ7553ZDPGIHSKG6WFLLJE","short_pith_number":"pith:AISPKQ75","canonical_record":{"source":{"id":"2405.13042","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-17T23:04:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a9762f3d3ba03f18f836a233c43d316e763d11f2f2b96d8da8a2afb1484e07dd","abstract_canon_sha256":"8343765c32d58f7cec944ca68ff3412ffb5144d0262ba7e197eb7884c85a2809"},"schema_version":"1.0"},"canonical_sha256":"0224f543fdeef2379907928deb156b4931e01954cbb85fbcee8905afb2b189dc","source":{"kind":"arxiv","id":"2405.13042","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.13042","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"arxiv_version","alias_value":"2405.13042v2","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.13042","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"pith_short_12","alias_value":"AISPKQ7553ZD","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"pith_short_16","alias_value":"AISPKQ7553ZDPGIH","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"pith_short_8","alias_value":"AISPKQ75","created_at":"2026-07-05T09:30:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:AISPKQ7553ZDPGIHSKG6WFLLJE","target":"record","payload":{"canonical_record":{"source":{"id":"2405.13042","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-17T23:04:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a9762f3d3ba03f18f836a233c43d316e763d11f2f2b96d8da8a2afb1484e07dd","abstract_canon_sha256":"8343765c32d58f7cec944ca68ff3412ffb5144d0262ba7e197eb7884c85a2809"},"schema_version":"1.0"},"canonical_sha256":"0224f543fdeef2379907928deb156b4931e01954cbb85fbcee8905afb2b189dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:30:14.316142Z","signature_b64":"9gdBI/7iBBszE0oDEzJm8CjevDX5Sjk+1b7Wxn2CFgNVt+/WFu8HCqPMcZPot6bIVSr3G6TICM/HqSvvIFKxAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0224f543fdeef2379907928deb156b4931e01954cbb85fbcee8905afb2b189dc","last_reissued_at":"2026-07-05T09:30:14.315662Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:30:14.315662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.13042","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:30:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RfDS6L6CvOmPMKgfIzceoT+CyKAYsGCjQx+Zo4pOBlwOAtLhdtzflGMuT7xqCTR9cxO+EYUwKuJu0VsiM4o4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:50:08.818948Z"},"content_sha256":"ed559cc97c8049f18d05cfe8c8c12c3058ba5c87e904ca57ae2ffcee61db2367","schema_version":"1.0","event_id":"sha256:ed559cc97c8049f18d05cfe8c8c12c3058ba5c87e904ca57ae2ffcee61db2367"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:AISPKQ7553ZDPGIHSKG6WFLLJE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"StoryVerse: Towards Co-authoring Dynamic Plot with LLM-based Character Simulation via Narrative Planning","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.HC","authors_text":"David Ledo, Qian Zhou, Yi Wang","submitted_at":"2024-05-17T23:04:51Z","abstract_excerpt":"Automated plot generation for games enhances the player's experience by providing rich and immersive narrative experience that adapts to the player's actions. Traditional approaches adopt a symbolic narrative planning method which limits the scale and complexity of the generated plot by requiring extensive knowledge engineering work. Recent advancements use Large Language Models (LLMs) to drive the behavior of virtual characters, allowing plots to emerge from interactions between characters and their environments. However, the emergent nature of such decentralized plot generation makes it diff"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.13042","kind":"arxiv","version":2},"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/2405.13042/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":"2026-07-05T09:30:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FUAVXnHvBFUmTXA2RqsE3saNmHq84I7ledgQGTouJj2ZkNwKH16omnukDTBra1fuepPgwBN1Gl6Mq80Oz84uDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:50:08.819532Z"},"content_sha256":"f87674dd9ddc6038d19794f056467e7092505729b0f7c7426a8fa13ff7978897","schema_version":"1.0","event_id":"sha256:f87674dd9ddc6038d19794f056467e7092505729b0f7c7426a8fa13ff7978897"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AISPKQ7553ZDPGIHSKG6WFLLJE/bundle.json","state_url":"https://pith.science/pith/AISPKQ7553ZDPGIHSKG6WFLLJE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AISPKQ7553ZDPGIHSKG6WFLLJE/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":"2026-08-05T09:50:08Z","links":{"resolver":"https://pith.science/pith/AISPKQ7553ZDPGIHSKG6WFLLJE","bundle":"https://pith.science/pith/AISPKQ7553ZDPGIHSKG6WFLLJE/bundle.json","state":"https://pith.science/pith/AISPKQ7553ZDPGIHSKG6WFLLJE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AISPKQ7553ZDPGIHSKG6WFLLJE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:AISPKQ7553ZDPGIHSKG6WFLLJE","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":"8343765c32d58f7cec944ca68ff3412ffb5144d0262ba7e197eb7884c85a2809","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-17T23:04:51Z","title_canon_sha256":"a9762f3d3ba03f18f836a233c43d316e763d11f2f2b96d8da8a2afb1484e07dd"},"schema_version":"1.0","source":{"id":"2405.13042","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.13042","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"arxiv_version","alias_value":"2405.13042v2","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.13042","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"pith_short_12","alias_value":"AISPKQ7553ZD","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"pith_short_16","alias_value":"AISPKQ7553ZDPGIH","created_at":"2026-07-05T09:30:14Z"},{"alias_kind":"pith_short_8","alias_value":"AISPKQ75","created_at":"2026-07-05T09:30:14Z"}],"graph_snapshots":[{"event_id":"sha256:f87674dd9ddc6038d19794f056467e7092505729b0f7c7426a8fa13ff7978897","target":"graph","created_at":"2026-07-05T09:30:14Z","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/2405.13042/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated plot generation for games enhances the player's experience by providing rich and immersive narrative experience that adapts to the player's actions. Traditional approaches adopt a symbolic narrative planning method which limits the scale and complexity of the generated plot by requiring extensive knowledge engineering work. Recent advancements use Large Language Models (LLMs) to drive the behavior of virtual characters, allowing plots to emerge from interactions between characters and their environments. However, the emergent nature of such decentralized plot generation makes it diff","authors_text":"David Ledo, Qian Zhou, Yi Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-17T23:04:51Z","title":"StoryVerse: Towards Co-authoring Dynamic Plot with LLM-based Character Simulation via Narrative Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.13042","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:ed559cc97c8049f18d05cfe8c8c12c3058ba5c87e904ca57ae2ffcee61db2367","target":"record","created_at":"2026-07-05T09:30:14Z","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":"8343765c32d58f7cec944ca68ff3412ffb5144d0262ba7e197eb7884c85a2809","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2024-05-17T23:04:51Z","title_canon_sha256":"a9762f3d3ba03f18f836a233c43d316e763d11f2f2b96d8da8a2afb1484e07dd"},"schema_version":"1.0","source":{"id":"2405.13042","kind":"arxiv","version":2}},"canonical_sha256":"0224f543fdeef2379907928deb156b4931e01954cbb85fbcee8905afb2b189dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0224f543fdeef2379907928deb156b4931e01954cbb85fbcee8905afb2b189dc","first_computed_at":"2026-07-05T09:30:14.315662Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:30:14.315662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9gdBI/7iBBszE0oDEzJm8CjevDX5Sjk+1b7Wxn2CFgNVt+/WFu8HCqPMcZPot6bIVSr3G6TICM/HqSvvIFKxAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:30:14.316142Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.13042","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed559cc97c8049f18d05cfe8c8c12c3058ba5c87e904ca57ae2ffcee61db2367","sha256:f87674dd9ddc6038d19794f056467e7092505729b0f7c7426a8fa13ff7978897"],"state_sha256":"1c6a391eb1f2f9c1b95b2c4dd68a7dbbb9cd19278a7782f2e6375b75272774e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"30Ifp3eJvUNRUZ9QR16oFybJf87ZD7lHBmk1HRSm/Pdi15a10ytIvnReho/I7HuiA+1ZaSdnrsIoO4iX4+6tDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:50:08.822536Z","bundle_sha256":"f340b84198ff513765a79a06819078a0b046f90e112d4d4eddf31ba3aa0056cd"}}