{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HW7JPWPHSSII4IXKF5OI4GR7EV","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":"9f261396545895a56b52bac5c00605bc8fc19c4a2f87fa94d7df81c2c9bac8ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-12-03T16:16:13Z","title_canon_sha256":"134363ef6da8a1409396fcfa1a96d03f8c013c55ebbde55c600a25e0682153ac"},"schema_version":"1.0","source":{"id":"1912.01496","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.01496","created_at":"2026-07-05T00:23:31Z"},{"alias_kind":"arxiv_version","alias_value":"1912.01496v1","created_at":"2026-07-05T00:23:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.01496","created_at":"2026-07-05T00:23:31Z"},{"alias_kind":"pith_short_12","alias_value":"HW7JPWPHSSII","created_at":"2026-07-05T00:23:31Z"},{"alias_kind":"pith_short_16","alias_value":"HW7JPWPHSSII4IXK","created_at":"2026-07-05T00:23:31Z"},{"alias_kind":"pith_short_8","alias_value":"HW7JPWPH","created_at":"2026-07-05T00:23:31Z"}],"graph_snapshots":[{"event_id":"sha256:f0039608491e01969e14a89ff4df0b2b77f6c9c9f52a5d1b88e72339d43dfb42","target":"graph","created_at":"2026-07-05T00:23:31Z","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/1912.01496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stories are diverse and highly personalized, resulting in a large possible output space for story generation. Existing end-to-end approaches produce monotonous stories because they are limited to the vocabulary and knowledge in a single training dataset. This paper introduces KG-Story, a three-stage framework that allows the story generation model to take advantage of external Knowledge Graphs to produce interesting stories. KG-Story distills a set of representative words from the input prompts, enriches the word set by using external knowledge graphs, and finally generates stories based on th","authors_text":"Chao-Chun Hsu, Chih-Chia Li, Chi-Yang Hsu, Lun-Wei Ku, Ting-Hao 'Kenneth' Huang, Tzu-Yuan Lin, Zi-Yuan Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-12-03T16:16:13Z","title":"Knowledge-Enriched Visual Storytelling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.01496","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:b61ecc2053e09977c439cf4ccc079d6d7399b5ae38218234239cbd94b0098f37","target":"record","created_at":"2026-07-05T00:23:31Z","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":"9f261396545895a56b52bac5c00605bc8fc19c4a2f87fa94d7df81c2c9bac8ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-12-03T16:16:13Z","title_canon_sha256":"134363ef6da8a1409396fcfa1a96d03f8c013c55ebbde55c600a25e0682153ac"},"schema_version":"1.0","source":{"id":"1912.01496","kind":"arxiv","version":1}},"canonical_sha256":"3dbe97d9e794908e22ea2f5c8e1a3f256c9eebc98d79cd202b03a72350e896ab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3dbe97d9e794908e22ea2f5c8e1a3f256c9eebc98d79cd202b03a72350e896ab","first_computed_at":"2026-07-05T00:23:31.644051Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:23:31.644051Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K/p3VEQmF+OevrogDKGU7Qi8fh1Qsn8YhnoxFOFiblPet9jcEuNk2jmTo8/LkoAtOPpLByXkzbtDplezX8fYBg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:23:31.644439Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.01496","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b61ecc2053e09977c439cf4ccc079d6d7399b5ae38218234239cbd94b0098f37","sha256:f0039608491e01969e14a89ff4df0b2b77f6c9c9f52a5d1b88e72339d43dfb42"],"state_sha256":"20f2751028a8d3409dd456a792fb049feae4cbbf9d3d53e4fb4d612af1c4ca08"}