{"id":"https://openalex.org/W7134237694","doi":"https://doi.org/10.48550/arxiv.2603.05890","title":"Lost in Stories: Consistency Bugs in Long Story Generation by LLMs","display_name":"Lost in Stories: Consistency Bugs in Long Story Generation by LLMs","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134237694","doi":"https://doi.org/10.48550/arxiv.2603.05890"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.05890","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128404500","display_name":"Junjie Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Junjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128433407","display_name":"Xinrui Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Xinrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128412248","display_name":"Yuhao Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Yuhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128440754","display_name":"Roy Ka-Wei Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Roy Ka-Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128407060","display_name":"Hongzhi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hongzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5061754328","display_name":"Yutao Xie","orcid":"https://orcid.org/0000-0002-2109-1437"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Yutao","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25965004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10028","display_name":"Topic Modeling","score":0.4970000088214874,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.4970000088214874,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.12720000743865967,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.05389999970793724,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/consistency","display_name":"Consistency (knowledge bases)","score":0.8687999844551086},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.8066999912261963},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5389999747276306},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.43860000371932983},{"id":"https://openalex.org/keywords/consistency-model","display_name":"Consistency model","score":0.4230000078678131},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41769999265670776},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.40230000019073486}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.8687999844551086},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.8066999912261963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579200029373169},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5389999747276306},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4819999933242798},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.4230000078678131},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41659998893737793},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.40230000019073486},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33820000290870667},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.3206000030040741},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.3068000078201294},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2985000014305115},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27399998903274536},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2635999917984009}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.05890","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.05890","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.05890","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.05890","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7391342520713806}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"What":[0],"happens":[1],"when":[2],"a":[3,71,92,121],"storyteller":[4],"forgets":[5],"its":[6],"own":[7,40],"story?":[8],"Large":[9],"Language":[10],"Models":[11],"(LLMs)":[12],"can":[13,37,171],"now":[14],"generate":[15],"narratives":[16],"spanning":[17],"tens":[18],"of":[19,21,94,123,152],"thousands":[20],"words,":[22],"but":[23],"they":[24,137],"often":[25],"fail":[26],"to":[27,74,147,167,175],"maintain":[28],"consistency":[29,60,77,132,177],"throughout.":[30],"When":[31],"generating":[32],"long-form":[33,79,179],"narratives,":[34,153],"these":[35],"models":[36],"contradict":[38],"their":[39],"established":[41],"facts,":[42],"character":[43],"traits,":[44],"and":[45,57,90,112,143,162],"world":[46],"rules.":[47],"Existing":[48],"story":[49,80],"generation":[50],"benchmarks":[51],"focus":[52],"mainly":[53],"on":[54],"plot":[55],"quality":[56],"fluency,":[58],"leaving":[59],"errors":[61,133],"largely":[62],"unexplored.":[63],"To":[64],"address":[65],"this":[66],"gap,":[67],"we":[68,129],"present":[69],"ConStory-Bench,":[70],"benchmark":[72],"designed":[73],"evaluate":[75],"narrative":[76,180],"in":[78,116,141,155,178],"generation.":[81,181],"It":[82],"contains":[83],"2,000":[84],"prompts":[85],"across":[86],"four":[87],"task":[88],"scenarios":[89],"defines":[91],"taxonomy":[93],"five":[95,126],"error":[96,164],"categories":[97],"with":[98,158],"19":[99],"fine-grained":[100],"subtypes.":[101],"We":[102],"also":[103],"develop":[104],"ConStory-Checker,":[105],"an":[106],"automated":[107],"pipeline":[108],"that":[109,131],"detects":[110],"contradictions":[111],"grounds":[113],"each":[114],"judgment":[115],"explicit":[117],"textual":[118],"evidence.":[119],"Evaluating":[120],"range":[122],"LLMs":[124],"through":[125],"research":[127],"questions,":[128],"find":[130],"show":[134],"clear":[135],"tendencies:":[136],"are":[138],"most":[139],"common":[140],"factual":[142],"temporal":[144],"dimensions,":[145],"tend":[146,166],"appear":[148],"around":[149],"the":[150],"middle":[151],"occur":[154],"text":[156],"segments":[157],"higher":[159],"token-level":[160],"entropy,":[161],"certain":[163],"types":[165],"co-occur.":[168],"These":[169],"findings":[170],"inform":[172],"future":[173],"efforts":[174],"improve":[176],"Our":[182],"project":[183],"page":[184],"is":[185],"available":[186],"at":[187],"https://picrew.github.io/constory-bench.github.io/.":[188]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-10T00:00:00"}
