{"id":"https://openalex.org/W7167067268","doi":"https://doi.org/10.48550/arxiv.2607.00009","title":"Controllable Narrative Rendering for Enhanced Assisted Writing","display_name":"Controllable Narrative Rendering for Enhanced Assisted Writing","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7167067268","doi":"https://doi.org/10.48550/arxiv.2607.00009"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.00009","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00009","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.00009","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075013431","display_name":"Mingzhe L\u00fc","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Mingzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139886888","display_name":"Yanbing Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yanbing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124294419","display_name":"Jiayue Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jiayue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139912559","display_name":"Jiarui Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiarui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139909796","display_name":"Qihao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Qihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139912930","display_name":"Yue Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Yue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139931425","display_name":"Yunpeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yunpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135478021","display_name":"Yangyan Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yangyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.23770000040531158,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.23770000040531158,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.09309999644756317,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12070","display_name":"Writing and Handwriting Education","score":0.041999999433755875,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.765999972820282},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7271000146865845},{"id":"https://openalex.org/keywords/dilemma","display_name":"Dilemma","score":0.6132000088691711},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.49470001459121704},{"id":"https://openalex.org/keywords/loom","display_name":"LOOM","score":0.45750001072883606},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4066999852657318},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4018999934196472}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.765999972820282},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7271000146865845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6866000294685364},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.6132000088691711},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C2778584943","wikidata":"https://www.wikidata.org/wiki/Q6459541","display_name":"LOOM","level":2,"score":0.45750001072883606},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4066999852657318},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4018999934196472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3871000111103058},{"id":"https://openalex.org/C170748874","wikidata":"https://www.wikidata.org/wiki/Q21117977","display_name":"Proofreading","level":4,"score":0.3481999933719635},{"id":"https://openalex.org/C523419034","wikidata":"https://www.wikidata.org/wiki/Q25372","display_name":"Drama","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.31790000200271606},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3116999864578247},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.26170000433921814},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C100207952","wikidata":"https://www.wikidata.org/wiki/Q7311597","display_name":"Remedial education","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.00009","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00009","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.00009","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00009","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8715165257453918,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"the":[1,67,98,112,136],"remarkable":[2],"proficiency":[3],"of":[4,100],"large":[5],"language":[6],"models":[7],"(LLMs)":[8],"in":[9,15,66,144],"basic":[10],"writing":[11,17,63],"assistance,":[12],"their":[13],"utility":[14],"creative":[16],"is":[18],"fundamentally":[19],"hindered":[20],"by":[21],"a":[22,49,76],"persistent":[23],"binary":[24],"failure.":[25],"This":[26,46,95],"issue":[27],"manifests":[28],"as":[29,38],"an":[30,61,81],"oscillation":[31],"between":[32,52,70],"safe,":[33],"surface-level":[34],"editing,":[35],"referred":[36],"to":[37,85,151],"remedial":[39],"polishing,":[40],"and":[41,55,72,92,123,147],"destructive,":[42],"uncontrolled":[43],"plot":[44],"expansion.":[45],"dilemma":[47],"defines":[48],"critical":[50],"trade-off":[51],"narrative":[53,90],"fidelity":[54],"descriptive":[56,148],"intensity.":[57],"We":[58],"propose":[59],"Loom,":[60],"assisted":[62],"framework":[64],"grounded":[65],"narratological":[68],"distinction":[69],"story":[71],"discourse.":[73],"Loom":[74,128,134],"employs":[75],"three-layer":[77],"pipeline":[78],"that":[79,107,127],"operationalizes":[80],"intent-centered":[82],"semiotic":[83],"chain-of-thought":[84],"enforce":[86],"precise":[87],"control":[88],"over":[89],"intent":[91],"rendering":[93],"density.":[94],"architecture":[96],"separates":[97],"generation":[99],"perceptual":[101],"material":[102],"from":[103],"syntactic":[104],"insertion,":[105],"ensuring":[106],"enhancement":[108],"occurs":[109],"without":[110],"violating":[111],"original":[113],"event":[114],"structure.":[115],"Our":[116],"comprehensive":[117],"evaluation,":[118],"which":[119],"includes":[120],"LLM-based":[121],"metrics":[122],"human":[124],"assessment,":[125],"demonstrates":[126],"successfully":[129],"resolves":[130],"this":[131],"fundamental":[132],"tension.":[133],"achieves":[135],"highest":[137],"overall":[138],"quality":[139],"score,":[140],"yielding":[141],"substantial":[142],"gains":[143],"factual":[145],"integrity":[146],"intensity":[149],"compared":[150],"state-of-the-art":[152],"baselines.":[153]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-03T00:00:00"}