{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:JOCRDBY5OOEI7VGCGXUM4OJEIY","short_pith_number":"pith:JOCRDBY5","canonical_record":{"source":{"id":"1808.06945","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-21T14:55:34Z","cross_cats_sorted":[],"title_canon_sha256":"3d4627211d15a60d35965722a5960d5998d763eb35f6a2697a02e7b6214ccd69","abstract_canon_sha256":"a22ed75c16ce6b35bcf35b13186dbc3b2e1ed3c89f7c347ce8134a72bcf896fe"},"schema_version":"1.0"},"canonical_sha256":"4b8511871d73888fd4c235e8ce39244610bc3e6d7210d0fce3af45f1fcb8d02d","source":{"kind":"arxiv","id":"1808.06945","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.06945","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"arxiv_version","alias_value":"1808.06945v2","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.06945","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"pith_short_12","alias_value":"JOCRDBY5OOEI","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JOCRDBY5OOEI7VGC","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JOCRDBY5","created_at":"2026-05-18T12:32:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:JOCRDBY5OOEI7VGCGXUM4OJEIY","target":"record","payload":{"canonical_record":{"source":{"id":"1808.06945","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-21T14:55:34Z","cross_cats_sorted":[],"title_canon_sha256":"3d4627211d15a60d35965722a5960d5998d763eb35f6a2697a02e7b6214ccd69","abstract_canon_sha256":"a22ed75c16ce6b35bcf35b13186dbc3b2e1ed3c89f7c347ce8134a72bcf896fe"},"schema_version":"1.0"},"canonical_sha256":"4b8511871d73888fd4c235e8ce39244610bc3e6d7210d0fce3af45f1fcb8d02d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:16.906965Z","signature_b64":"euQ4LODR7HsFlNVlM2Q1ZLWrjl+KzHvHdemQeFV18WRAopr4X0wykKoWIw0cjAIXeTEUvT/IPLXY6a122ffZAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b8511871d73888fd4c235e8ce39244610bc3e6d7210d0fce3af45f1fcb8d02d","last_reissued_at":"2026-05-18T00:07:16.906279Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:16.906279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.06945","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":"2026-05-18T00:07:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sxeoFE+el/LIHrKnEhZWX5f+W+KDWh8s0QrGqerS7Wij6SoJtbpm+amd3Kyd2yET9rTiRXp4QlAvcmin7dx2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T14:52:00.530012Z"},"content_sha256":"737e287d89f4929d0f43cc076a4d2f71a31fbf848ff07dc569484eeddf9d23ae","schema_version":"1.0","event_id":"sha256:737e287d89f4929d0f43cc076a4d2f71a31fbf848ff07dc569484eeddf9d23ae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:JOCRDBY5OOEI7VGCGXUM4OJEIY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jingjing Xu, Qi Zeng, Xiaoyan Cai, Xuancheng Ren, Xu Sun, Yi Zhang","submitted_at":"2018-08-21T14:55:34Z","abstract_excerpt":"Narrative story generation is a challenging problem because it demands the generated sentences with tight semantic connections, which has not been well studied by most existing generative models. To address this problem, we propose a skeleton-based model to promote the coherence of generated stories. Different from traditional models that generate a complete sentence at a stroke, the proposed model first generates the most critical phrases, called skeleton, and then expands the skeleton to a complete and fluent sentence. The skeleton is not manually defined, but learned by a reinforcement lear"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.06945","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":""},"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":"2026-05-18T00:07:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z8tYA29ysuQ00z+N1hov/jpyi8eLxrsHz4j6zu1no261FL9CCAhL6Yoe5M2nph1vlKjjPCntBxyW/pjjWvnPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T14:52:00.530649Z"},"content_sha256":"5ff36b32e4ac083cf3201c9e0bcd0d64e0e29d42d8ea44c1d8e0860589af2cc6","schema_version":"1.0","event_id":"sha256:5ff36b32e4ac083cf3201c9e0bcd0d64e0e29d42d8ea44c1d8e0860589af2cc6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JOCRDBY5OOEI7VGCGXUM4OJEIY/bundle.json","state_url":"https://pith.science/pith/JOCRDBY5OOEI7VGCGXUM4OJEIY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JOCRDBY5OOEI7VGCGXUM4OJEIY/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":"2026-06-06T14:52:00Z","links":{"resolver":"https://pith.science/pith/JOCRDBY5OOEI7VGCGXUM4OJEIY","bundle":"https://pith.science/pith/JOCRDBY5OOEI7VGCGXUM4OJEIY/bundle.json","state":"https://pith.science/pith/JOCRDBY5OOEI7VGCGXUM4OJEIY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JOCRDBY5OOEI7VGCGXUM4OJEIY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:JOCRDBY5OOEI7VGCGXUM4OJEIY","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":"a22ed75c16ce6b35bcf35b13186dbc3b2e1ed3c89f7c347ce8134a72bcf896fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-21T14:55:34Z","title_canon_sha256":"3d4627211d15a60d35965722a5960d5998d763eb35f6a2697a02e7b6214ccd69"},"schema_version":"1.0","source":{"id":"1808.06945","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.06945","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"arxiv_version","alias_value":"1808.06945v2","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.06945","created_at":"2026-05-18T00:07:16Z"},{"alias_kind":"pith_short_12","alias_value":"JOCRDBY5OOEI","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"JOCRDBY5OOEI7VGC","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"JOCRDBY5","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:5ff36b32e4ac083cf3201c9e0bcd0d64e0e29d42d8ea44c1d8e0860589af2cc6","target":"graph","created_at":"2026-05-18T00:07:16Z","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":"Narrative story generation is a challenging problem because it demands the generated sentences with tight semantic connections, which has not been well studied by most existing generative models. To address this problem, we propose a skeleton-based model to promote the coherence of generated stories. Different from traditional models that generate a complete sentence at a stroke, the proposed model first generates the most critical phrases, called skeleton, and then expands the skeleton to a complete and fluent sentence. The skeleton is not manually defined, but learned by a reinforcement lear","authors_text":"Jingjing Xu, Qi Zeng, Xiaoyan Cai, Xuancheng Ren, Xu Sun, Yi Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-21T14:55:34Z","title":"A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.06945","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":"sha256:737e287d89f4929d0f43cc076a4d2f71a31fbf848ff07dc569484eeddf9d23ae","target":"record","created_at":"2026-05-18T00:07:16Z","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":"a22ed75c16ce6b35bcf35b13186dbc3b2e1ed3c89f7c347ce8134a72bcf896fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-08-21T14:55:34Z","title_canon_sha256":"3d4627211d15a60d35965722a5960d5998d763eb35f6a2697a02e7b6214ccd69"},"schema_version":"1.0","source":{"id":"1808.06945","kind":"arxiv","version":2}},"canonical_sha256":"4b8511871d73888fd4c235e8ce39244610bc3e6d7210d0fce3af45f1fcb8d02d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b8511871d73888fd4c235e8ce39244610bc3e6d7210d0fce3af45f1fcb8d02d","first_computed_at":"2026-05-18T00:07:16.906279Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:16.906279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"euQ4LODR7HsFlNVlM2Q1ZLWrjl+KzHvHdemQeFV18WRAopr4X0wykKoWIw0cjAIXeTEUvT/IPLXY6a122ffZAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:16.906965Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.06945","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:737e287d89f4929d0f43cc076a4d2f71a31fbf848ff07dc569484eeddf9d23ae","sha256:5ff36b32e4ac083cf3201c9e0bcd0d64e0e29d42d8ea44c1d8e0860589af2cc6"],"state_sha256":"96b7585790001b023c787d175002d9a66909b09ebf1040d349aa107b774ad708"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RdsKuLUDxaAKkaptIiiiJt0uURXb6PQTKTQsn25pShGjC8upSbs3VqxO+sUXM3AL2tSx5B7vJzT9ALN5Oa9rDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T14:52:00.534662Z","bundle_sha256":"035875edb8437f6586e105018fcaca359525d05cdfbcfe7fed06aa7fc454437f"}}