{"id":"https://openalex.org/W7160431957","doi":"https://doi.org/10.48550/arxiv.2605.03244","title":"S^2tory: Story Spine Distillation for Movie Script Summarization","display_name":"S^2tory: Story Spine Distillation for Movie Script Summarization","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160431957","doi":"https://doi.org/10.48550/arxiv.2605.03244"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.03244","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03244","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2605.03244","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/A5135486634","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/A5135475825","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/A5135536869","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/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/A5135450249","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/A5135515916","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/T11574","display_name":"Artificial Intelligence in Games","score":0.4878000020980835,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.4878000020980835,"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/T10028","display_name":"Topic Modeling","score":0.2451999932527542,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.08630000054836273,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7641000151634216},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.7459999918937683},{"id":"https://openalex.org/keywords/plot","display_name":"Plot (graphics)","score":0.6704999804496765},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.5141000151634216},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.43860000371932983},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.3970000147819519},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3587000072002411},{"id":"https://openalex.org/keywords/headline","display_name":"Headline","score":0.3377000093460083}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7641000151634216},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.7459999918937683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7360000014305115},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.6704999804496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6087999939918518},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5867000222206116},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.5141000151634216},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.43860000371932983},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C98369314","wikidata":"https://www.wikidata.org/wiki/Q382451","display_name":"Narratology","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.03244","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03244","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2605.03244","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03244","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Movie":[0],"scripts":[1],"pose":[2],"a":[3,36,80],"fundamental":[4],"challenge":[5],"for":[6,131],"automatic":[7],"summarization":[8],"due":[9],"to":[10,44,83,94],"their":[11],"non-linear,":[12],"cross-cut":[13],"narrative":[14,54],"structure,":[15],"which":[16],"makes":[17],"surface-level":[18],"saliency":[19],"methods":[20],"ineffective":[21],"at":[22,107],"preserving":[23],"core":[24],"story":[25],"progression.":[26],"To":[27],"address":[28],"this,":[29],"we":[30],"introduce":[31],"S^2tory":[32],"(Story":[33],"Spine":[34],"Distillation),":[35],"narratology-grounded":[37],"framework":[38],"that":[39,51,62,124],"leverages":[40],"character":[41],"development":[42],"trajectories":[43],"identify":[45,84],"plot":[46,85,92],"nuclei,":[47],"the":[48,53,96,100],"essential":[49],"events":[50,61],"drive":[52],"forward,":[55],"while":[56],"filtering":[57],"out":[58],"peripheral":[59],"satellite":[60],"merely":[63],"enrich":[64],"atmosphere":[65],"or":[66],"emotion.":[67],"Our":[68],"Narrative":[69],"Expert":[70],"Agent":[71],"(NEAgent)":[72],"performs":[73],"theory-constrained":[74],"reasoning,":[75],"whose":[76],"distilled":[77],"knowledge":[78],"conditions":[79],"small":[81],"model":[82,88],"nuclei.":[86],"Another":[87],"then":[89],"uses":[90],"these":[91],"nuclei":[93],"generate":[95],"summary.":[97],"Experiments":[98],"on":[99,114],"MovieSum":[101],"dataset":[102],"demonstrate":[103],"state-of-the-art":[104],"semantic":[105],"fidelity":[106],"approximately":[108],"3.5x":[109],"compression,":[110],"and":[111],"zero-shot":[112],"evaluation":[113,121],"BookSum":[115],"confirms":[116],"strong":[117],"out-of-domain":[118],"generalization.":[119],"Human":[120],"further":[122],"validates":[123],"narratological":[125],"theory":[126],"provides":[127],"an":[128],"indispensable":[129],"foundation":[130],"modeling":[132],"complex,":[133],"non-linear":[134],"narratives.":[135]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-07T00:00:00"}
