{"id":"https://openalex.org/W7148757828","doi":"https://doi.org/10.48550/arxiv.2604.01452","title":"A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization","display_name":"A Multi-Agent Human-LLM Collaborative Framework for Closed-Loop Scientific Literature Summarization","publication_year":2026,"publication_date":"2026-04-01","ids":{"openalex":"https://openalex.org/W7148757828","doi":"https://doi.org/10.48550/arxiv.2604.01452"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01452","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01452","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.01452","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5132907677","display_name":"Maxwell J. Jacobson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jacobson, Maxwell J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132833622","display_name":"Daniel Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069729944","display_name":"Jackson Shen","orcid":"https://orcid.org/0009-0008-6052-4064"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Jackson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061641804","display_name":"Adil Wazeer","orcid":"https://orcid.org/0000-0003-2120-9957"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wazeer, Adil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132907533","display_name":"Haiyan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Haiyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132895293","display_name":"Xinghang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xinghang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5060838579","display_name":"Yexiang Xue","orcid":"https://orcid.org/0000-0002-4533-0543"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xue, Yexiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.3492000102996826,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.3492000102996826,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.11789999902248383,"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"}},{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.043800000101327896,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7440999746322632},{"id":"https://openalex.org/keywords/scientific-literature","display_name":"Scientific literature","score":0.5138000249862671},{"id":"https://openalex.org/keywords/scientific-discovery","display_name":"Scientific discovery","score":0.453900009393692},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.44369998574256897},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.319599986076355},{"id":"https://openalex.org/keywords/scientific-progress","display_name":"Scientific progress","score":0.28220000863075256}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7440999746322632},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912000179290771},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5573999881744385},{"id":"https://openalex.org/C2781083858","wikidata":"https://www.wikidata.org/wiki/Q17327049","display_name":"Scientific literature","level":2,"score":0.5138000249862671},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C23213167","wikidata":"https://www.wikidata.org/wiki/Q2351730","display_name":"Scientific progress","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C138379479","wikidata":"https://www.wikidata.org/wiki/Q1116876","display_name":"Scientific modelling","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C195732255","wikidata":"https://www.wikidata.org/wiki/Q981008","display_name":"Sociology of scientific knowledge","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01452","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01452","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.01452","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01452","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":"article"},"sustainable_development_goals":[{"score":0.7489731311798096,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Scientific":[0],"discovery":[1],"is":[2],"slowed":[3],"by":[4],"fragmented":[5],"literature":[6,58,142,173],"that":[7,76],"requires":[8],"excessive":[9],"human":[10,82,112],"effort":[11],"to":[12,28,64,84],"gather,":[13],"analyze,":[14,86],"and":[15,22,66,81,87,108,127,158,179],"understand.":[16],"AI":[17],"tools,":[18],"including":[19],"autonomous":[20],"summarization":[21],"question":[23],"answering,":[24],"have":[25],"been":[26],"developed":[27],"aid":[29],"in":[30,137,166],"understanding":[31],"scientific":[32,48,92,177],"literature.":[33,49,93],"However,":[34],"these":[35],"tools":[36],"lack":[37],"the":[38],"structured,":[39],"multi-step":[40],"approach":[41],"necessary":[42],"for":[43,57,101,162],"extracting":[44,104],"deep":[45],"insights":[46,90],"from":[47,91],"Large":[50],"Language":[51],"Models":[52],"(LLMs)":[53],"offer":[54],"new":[55],"possibilities":[56],"analysis,":[59],"but":[60],"remain":[61],"unreliable":[62],"due":[63],"hallucinations":[65],"incomplete":[67],"extraction.":[68],"We":[69],"introduce":[70],"Elhuyar,":[71],"a":[72],"multi-agent,":[73],"human-in-the-loop":[74],"system":[75,117],"integrates":[77],"LLMs,":[78],"structured":[79,119],"AI,":[80],"scientists":[83],"extract,":[85],"iteratively":[88],"refine":[89],"The":[94,116],"framework":[95],"distributes":[96],"tasks":[97],"among":[98],"specialized":[99],"agents":[100],"filtering":[102],"papers,":[103],"data,":[105,123],"fitting":[106],"models,":[107],"summarizing":[109],"findings,":[110],"with":[111,121,155],"oversight":[113],"ensuring":[114],"reliability.":[115],"generates":[118],"reports":[120],"extracted":[122],"visualizations,":[124],"model":[125],"equations,":[126],"text":[128],"summaries,":[129],"enabling":[130],"deeper":[131],"inquiry":[132],"through":[133],"iterative":[134],"refinement.":[135],"Deployed":[136],"materials":[138,164],"science,":[139],"it":[140],"analyzed":[141],"on":[143],"tungsten":[144],"under":[145],"helium-ion":[146],"irradiation,":[147],"showing":[148],"experimentally":[149],"correlated":[150],"exponential":[151],"helium":[152],"bubble":[153],"growth":[154],"irradiation":[156],"dose":[157],"temperature,":[159],"offering":[160],"insight":[161],"plasma-facing":[163],"(PFMs)":[165],"fusion":[167],"reactors.":[168],"This":[169],"demonstrates":[170],"how":[171],"AI-assisted":[172],"review":[174],"can":[175],"uncover":[176],"patterns":[178],"accelerate":[180],"discovery.":[181]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-04T00:00:00"}