{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NGB3NFBUZUWYJVCK5SO7SDOOHR","short_pith_number":"pith:NGB3NFBU","canonical_record":{"source":{"id":"1708.08580","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-29T03:11:20Z","cross_cats_sorted":[],"title_canon_sha256":"b00194db7a60279c0fe2a111981125ae2f30f65986c8d8ee5393b5149e1503aa","abstract_canon_sha256":"a8c7b190bba158c813298dd344186a2709fa6bbb8f27a2538152557db09916d2"},"schema_version":"1.0"},"canonical_sha256":"6983b69434cd2d84d44aec9df90dce3c566bdfc5c6bfaa45eaf6d21a0ae817bd","source":{"kind":"arxiv","id":"1708.08580","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.08580","created_at":"2026-05-18T00:36:27Z"},{"alias_kind":"arxiv_version","alias_value":"1708.08580v1","created_at":"2026-05-18T00:36:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.08580","created_at":"2026-05-18T00:36:27Z"},{"alias_kind":"pith_short_12","alias_value":"NGB3NFBUZUWY","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NGB3NFBUZUWYJVCK","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NGB3NFBU","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NGB3NFBUZUWYJVCK5SO7SDOOHR","target":"record","payload":{"canonical_record":{"source":{"id":"1708.08580","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-29T03:11:20Z","cross_cats_sorted":[],"title_canon_sha256":"b00194db7a60279c0fe2a111981125ae2f30f65986c8d8ee5393b5149e1503aa","abstract_canon_sha256":"a8c7b190bba158c813298dd344186a2709fa6bbb8f27a2538152557db09916d2"},"schema_version":"1.0"},"canonical_sha256":"6983b69434cd2d84d44aec9df90dce3c566bdfc5c6bfaa45eaf6d21a0ae817bd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:36:27.351126Z","signature_b64":"zhb10VpIYc+aTQEoXI4Qp8FNCXUbzFnEvI+HWHtqdMdeQRyxUs9PJs9r7IH22FFkfyhDUtQ9JDIxad81Ns/XDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6983b69434cd2d84d44aec9df90dce3c566bdfc5c6bfaa45eaf6d21a0ae817bd","last_reissued_at":"2026-05-18T00:36:27.350402Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:36:27.350402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.08580","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":"2026-05-18T00:36:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/JfoB390eP+QFv/18+IdngfVQg+c3QSTpzQLefeVQDIJJVHwLNCzaFgTsZ3+Xi7I+BkMbG2YaMIsdu5lJ/K6Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T22:53:06.171620Z"},"content_sha256":"9e85b9552e907bd13e519a486baccc06e8ee8566c538428fa376bfc3d2bf5c39","schema_version":"1.0","event_id":"sha256:9e85b9552e907bd13e519a486baccc06e8ee8566c538428fa376bfc3d2bf5c39"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NGB3NFBUZUWYJVCK5SO7SDOOHR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generating Sentence Planning Variations for Story Telling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Lena I. Reed, Marilyn A. Walker, Stephanie M. Lukin","submitted_at":"2017-08-29T03:11:20Z","abstract_excerpt":"There has been a recent explosion in applications for dialogue interaction ranging from direction-giving and tourist information to interactive story systems. Yet the natural language generation (NLG) component for many of these systems remains largely handcrafted. This limitation greatly restricts the range of applications; it also means that it is impossible to take advantage of recent work in expressive and statistical language generation that can dynamically and automatically produce a large number of variations of given content. We propose that a solution to this problem lies in new metho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.08580","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":"2026-05-18T00:36:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fi0S8yyM86+YYN/FQvEKLqVt+tPit1bgmoQo3G/Y1V+ZoM1l9fpFwN8n2ngzUgsLjdWCk7x7k0DMC0nml+ZgCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-07T22:53:06.172341Z"},"content_sha256":"15ae0cccb7527412c1469f1ca7cba429af33e88f5558d65b2120867848d8afe1","schema_version":"1.0","event_id":"sha256:15ae0cccb7527412c1469f1ca7cba429af33e88f5558d65b2120867848d8afe1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NGB3NFBUZUWYJVCK5SO7SDOOHR/bundle.json","state_url":"https://pith.science/pith/NGB3NFBUZUWYJVCK5SO7SDOOHR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NGB3NFBUZUWYJVCK5SO7SDOOHR/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":"2026-06-07T22:53:06Z","links":{"resolver":"https://pith.science/pith/NGB3NFBUZUWYJVCK5SO7SDOOHR","bundle":"https://pith.science/pith/NGB3NFBUZUWYJVCK5SO7SDOOHR/bundle.json","state":"https://pith.science/pith/NGB3NFBUZUWYJVCK5SO7SDOOHR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NGB3NFBUZUWYJVCK5SO7SDOOHR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NGB3NFBUZUWYJVCK5SO7SDOOHR","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":"a8c7b190bba158c813298dd344186a2709fa6bbb8f27a2538152557db09916d2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-29T03:11:20Z","title_canon_sha256":"b00194db7a60279c0fe2a111981125ae2f30f65986c8d8ee5393b5149e1503aa"},"schema_version":"1.0","source":{"id":"1708.08580","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.08580","created_at":"2026-05-18T00:36:27Z"},{"alias_kind":"arxiv_version","alias_value":"1708.08580v1","created_at":"2026-05-18T00:36:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.08580","created_at":"2026-05-18T00:36:27Z"},{"alias_kind":"pith_short_12","alias_value":"NGB3NFBUZUWY","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NGB3NFBUZUWYJVCK","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NGB3NFBU","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:15ae0cccb7527412c1469f1ca7cba429af33e88f5558d65b2120867848d8afe1","target":"graph","created_at":"2026-05-18T00:36:27Z","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":"There has been a recent explosion in applications for dialogue interaction ranging from direction-giving and tourist information to interactive story systems. Yet the natural language generation (NLG) component for many of these systems remains largely handcrafted. This limitation greatly restricts the range of applications; it also means that it is impossible to take advantage of recent work in expressive and statistical language generation that can dynamically and automatically produce a large number of variations of given content. We propose that a solution to this problem lies in new metho","authors_text":"Lena I. Reed, Marilyn A. Walker, Stephanie M. Lukin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-29T03:11:20Z","title":"Generating Sentence Planning Variations for Story Telling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.08580","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":"sha256:9e85b9552e907bd13e519a486baccc06e8ee8566c538428fa376bfc3d2bf5c39","target":"record","created_at":"2026-05-18T00:36:27Z","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":"a8c7b190bba158c813298dd344186a2709fa6bbb8f27a2538152557db09916d2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2017-08-29T03:11:20Z","title_canon_sha256":"b00194db7a60279c0fe2a111981125ae2f30f65986c8d8ee5393b5149e1503aa"},"schema_version":"1.0","source":{"id":"1708.08580","kind":"arxiv","version":1}},"canonical_sha256":"6983b69434cd2d84d44aec9df90dce3c566bdfc5c6bfaa45eaf6d21a0ae817bd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6983b69434cd2d84d44aec9df90dce3c566bdfc5c6bfaa45eaf6d21a0ae817bd","first_computed_at":"2026-05-18T00:36:27.350402Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:27.350402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zhb10VpIYc+aTQEoXI4Qp8FNCXUbzFnEvI+HWHtqdMdeQRyxUs9PJs9r7IH22FFkfyhDUtQ9JDIxad81Ns/XDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:27.351126Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.08580","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e85b9552e907bd13e519a486baccc06e8ee8566c538428fa376bfc3d2bf5c39","sha256:15ae0cccb7527412c1469f1ca7cba429af33e88f5558d65b2120867848d8afe1"],"state_sha256":"7f7f7f772e9064376ad8ba29913a39f20656d78c884cc007872786c160c5e34c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FLg3WH8L/PvSo2GV2S4sCM0FWLAfwcieW6Q59FI502T6giF2uY7CNAnOUjHsVK4UOFtbZCB7vvsymMIWyaFUCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-07T22:53:06.176166Z","bundle_sha256":"2a4c604130c52c3189ed6aa8b2215a583e4d729fb5334f5d95130a6c296a56c2"}}