{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ZLSLHUGMAIXWO7ABLYPS3O4NUX","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":"42e1ba78ccfcaf055d93cefc075dd69a85c2cbb29e330e59c1b980ea077743fb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-12-16T21:29:41Z","title_canon_sha256":"d88c058d422f3782ccebbc710220410f68114c3323651bc0a4450c8a7a3dbe08"},"schema_version":"1.0","source":{"id":"2212.08718","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.08718","created_at":"2026-07-05T05:26:13Z"},{"alias_kind":"arxiv_version","alias_value":"2212.08718v1","created_at":"2026-07-05T05:26:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.08718","created_at":"2026-07-05T05:26:13Z"},{"alias_kind":"pith_short_12","alias_value":"ZLSLHUGMAIXW","created_at":"2026-07-05T05:26:13Z"},{"alias_kind":"pith_short_16","alias_value":"ZLSLHUGMAIXWO7AB","created_at":"2026-07-05T05:26:13Z"},{"alias_kind":"pith_short_8","alias_value":"ZLSLHUGM","created_at":"2026-07-05T05:26:13Z"}],"graph_snapshots":[{"event_id":"sha256:dc5a118d627cc647e226e95a42ba44b8beee79b421d908e95c98cb3dd3ae3d08","target":"graph","created_at":"2026-07-05T05:26:13Z","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/2212.08718/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automated plot generation is the challenge of generating a sequence of events that will be perceived by readers as the plot of a coherent story. Traditional symbolic planners plan a story from a goal state and guarantee logical causal plot coherence but rely on a library of hand-crafted actions with their preconditions and effects. This closed world setting limits the length and diversity of what symbolic planners can generate. On the other hand, pre-trained neural language models can generate stories with great diversity, while being generally incapable of ending a story in a specified manner","authors_text":"Anbang Ye, Christopher Cui, Mark O. Riedl, Taiwei Shi","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-12-16T21:29:41Z","title":"Neural Story Planning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.08718","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:ea27aec9dea839530a28b3bd3dab3fafc532f3b2411d20cab4e7983550addd76","target":"record","created_at":"2026-07-05T05:26:13Z","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":"42e1ba78ccfcaf055d93cefc075dd69a85c2cbb29e330e59c1b980ea077743fb","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2022-12-16T21:29:41Z","title_canon_sha256":"d88c058d422f3782ccebbc710220410f68114c3323651bc0a4450c8a7a3dbe08"},"schema_version":"1.0","source":{"id":"2212.08718","kind":"arxiv","version":1}},"canonical_sha256":"cae4b3d0cc022f677c015e1f2dbb8da5c7aed45adb66cc7a4c6c0b0b62ae911a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cae4b3d0cc022f677c015e1f2dbb8da5c7aed45adb66cc7a4c6c0b0b62ae911a","first_computed_at":"2026-07-05T05:26:13.527297Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:26:13.527297Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F1uWba6yXDcqWzaU4r92afcv9lvJ42Gp/SfE2KNRb09D0v0w8IRKn21xt4ETwbowUYWrBkMMCDHsCNEYMlpwDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:26:13.527735Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.08718","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea27aec9dea839530a28b3bd3dab3fafc532f3b2411d20cab4e7983550addd76","sha256:dc5a118d627cc647e226e95a42ba44b8beee79b421d908e95c98cb3dd3ae3d08"],"state_sha256":"416252ffd7e163526d423b69286f6795b4085b11cf901fe624306bacd45f5882"}