{"id":"https://openalex.org/W7166259213","doi":null,"title":"An On-Premise Diffusion Deep Research Model & Evaluation Framework for Resource-Constrained Environments","display_name":"An On-Premise Diffusion Deep Research Model & Evaluation Framework for Resource-Constrained Environments","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166259213"},"language":"en","primary_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:9241523","doi":null,"is_oa":true,"landing_page_url":"https://lup.lub.lu.se/student-papers/record/9241523","pdf_url":"https://lup.lub.lu.se/student-papers/record/9241523/file/9241529.pdf","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H2"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lup.lub.lu.se/student-papers/record/9241523/file/9241529.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061096032","display_name":"Arvid Malm","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malm, Arvid","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139398738","display_name":"Wolmar Boris-M\u00f6ller","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boris-M\u00f6ller, Wolmar","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":true,"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/T10028","display_name":"Topic Modeling","score":0.9365000128746033,"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":0.9365000128746033,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.016899999231100082,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.012500000186264515,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/resource-limited-environments","display_name":"resource-constrained environments","score":0.7889999747276306},{"id":"https://openalex.org/keywords/requirements-management","display_name":"requirements management","score":0.8669999837875366},{"id":"https://openalex.org/keywords/llm-as-a-judge","display_name":"LLM-as-a-judge","score":0.8320000171661377},{"id":"https://openalex.org/keywords/claim-extraction","display_name":"claim extraction","score":0.5709999799728394},{"id":"https://openalex.org/keywords/relative-ranking","display_name":"relative ranking","score":0.4970000088214874},{"id":"https://openalex.org/keywords/data-security","display_name":"data security","score":0.5270000100135803},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.49300000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40389999747276306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3587999939918518},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.2451999932527542},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.24449999630451202}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:lup-student-papers.lub.lu.se:9241523","doi":null,"is_oa":true,"landing_page_url":"https://lup.lub.lu.se/student-papers/record/9241523","pdf_url":"https://lup.lub.lu.se/student-papers/record/9241523/file/9241529.pdf","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H2"}],"best_oa_location":{"id":"pmh:oai:lup-student-papers.lub.lu.se:9241523","doi":null,"is_oa":true,"landing_page_url":"https://lup.lub.lu.se/student-papers/record/9241523","pdf_url":"https://lup.lub.lu.se/student-papers/record/9241523/file/9241529.pdf","source":{"id":"https://openalex.org/S4306402420","display_name":"Lund University Publications Student Papers (Lund University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I187531555","host_organization_name":"Lund University","host_organization_lineage":["https://openalex.org/I187531555"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"H2"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166259213.pdf","grobid_xml":"https://content.openalex.org/works/W7166259213.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2148972377","https://openalex.org/W2626778328","https://openalex.org/W2909544278","https://openalex.org/W2982399380","https://openalex.org/W3015883388","https://openalex.org/W3027879771","https://openalex.org/W3030163527","https://openalex.org/W3036167779","https://openalex.org/W4304195432","https://openalex.org/W4378908626","https://openalex.org/W4387560733","https://openalex.org/W4388184238","https://openalex.org/W4389519598","https://openalex.org/W4389520756","https://openalex.org/W4391212494","https://openalex.org/W4391876619","https://openalex.org/W4392773210","https://openalex.org/W4393247764","https://openalex.org/W4396570275","https://openalex.org/W4399837631","https://openalex.org/W4401042999","https://openalex.org/W4402667158","https://openalex.org/W4402670856","https://openalex.org/W4403334020","https://openalex.org/W4403401276","https://openalex.org/W4403420914","https://openalex.org/W4404534210","https://openalex.org/W4404783376","https://openalex.org/W4409357579","https://openalex.org/W4411113270","https://openalex.org/W4412673546","https://openalex.org/W4414458608","https://openalex.org/W4414581779","https://openalex.org/W4415069437","https://openalex.org/W4415112028","https://openalex.org/W4415124086","https://openalex.org/W6891897994","https://openalex.org/W7114889968","https://openalex.org/W7120088840","https://openalex.org/W7124180632","https://openalex.org/W7133224126","https://openalex.org/W7133239970"],"related_works":["https://openalex.org/W7223206882","https://openalex.org/W7128370696","https://openalex.org/W7077555568","https://openalex.org/W7154751841","https://openalex.org/W4416189150","https://openalex.org/W7169531948","https://openalex.org/W7106687632","https://openalex.org/W4415069437","https://openalex.org/W4417032830","https://openalex.org/W7124180632"],"abstract_inverted_index":{"State-of-the-art":[0],"agentic":[1],"large":[2,30],"language":[3,31,172],"model":[4,68,109,177],"architectures":[5,161],"for":[6,40,138,202,205,261],"generating":[7],"longform":[8],"citation-grounded":[9,221],"reports,":[10],"called":[11,97,121],"deep":[12,66,94,159],"research":[13,67,78,95],"models,":[14],"are":[15,19,37,168,174],"rapidly":[16],"developing.These":[17],"models":[18,32,173,183],"however":[20],"mostly":[21],"closed-source":[22],"and":[23,33,47,63,136,148,170,241,264],"rely":[24],"heavily":[25],"on":[26,143,189,209],"cloudbased":[27],"infrastructures,":[28],"exceptionally":[29],"web":[34],"retrievers.These":[35],"options":[36],"not":[38],"acceptable":[39],"organizations":[41],"with":[42,80,132,194,211,251],"high":[43],"data":[44],"security":[45],"demands":[46],"using":[48,185],"a":[49,65,75,92,117,186,195],"locally":[50,204],"hosted":[51],"alternative":[52],"is":[53,87,154,223,258],"therefore":[54],"imperative.This":[55],"master's":[56],"thesis":[57,215],"sets":[58],"out":[59],"to":[60,157,233,268,271],"design,":[61],"implement,":[62],"evaluate":[64],"that":[69,152,164,217,254],"can":[70],"operate":[71],"entirely":[72],"on-premise,":[73,162],"employing":[74],"design":[76,166],"science":[77],"methodology":[79],"two":[81],"primary":[82],"artifacts.The":[83],"domain":[84],"of":[85,108,219,237,244],"application":[86],"requirements":[88,196],"management.First,":[89],"we":[90,115],"present":[91],"novel":[93,118],"model,":[96],"Diffusion":[98],"On-premise":[99],"Research":[100,125],"Agent":[101],"(DORA),":[102],"inspired":[103],"by":[104,111],"the":[105,190,214,234,242],"test-timediffusion":[106],"style":[107],"presented":[110,191],"Google":[112],"Cloud":[113],"researchers.Second,":[114],"developed":[116],"evaluation":[119,218,240],"framework,":[120],"Testing":[122],"Local":[123],"Deep":[124],"(TLDR).It":[126],"uses":[127],"an":[128,199,226],"LLM-as-a-judge":[129],"paradigm":[130],"along":[131],"dynamic":[133],"claim":[134],"extraction":[135],"retrieval":[137],"factual":[139],"validation,":[140],"scoring":[141,257],"reports":[142,222],"four":[144],"text":[145],"quality":[146],"metrics":[147],"correctness.The":[149],"results":[150,208,248],"demonstrate":[151],"it":[153],"practically":[155],"viable":[156,201],"run":[158],"Rrsearch":[160],"provided":[163],"appropriate":[165],"choices":[167],"made":[169],"smaller":[171],"used.The":[175],"proposed":[176],"DORA":[178,206],"outperforms":[179],"all":[180],"evaluated":[181],"state-of-the-art":[182],"when":[184],"comparable":[187],"LLM":[188,200],"benchmark":[192],"TLDR":[193],"management":[197],"dataset.Employing":[198],"hosting":[203],"shows":[207],"par":[210],"SOTA":[212],"alternatives.Furthermore,":[213],"indicates":[216],"long-form":[220],"emerging":[224],"as":[225],"important":[227],"but":[228],"complex":[229],"challenge,":[230],"mainly":[231],"due":[232],"poor":[235],"scalability":[236],"human":[238],"expert":[239],"lack":[243],"gold-standard":[245],"reference":[246],"texts.The":[247],"align":[249],"well":[250],"literature":[252],"in":[253],"reference-free":[255],"absolute":[256],"largely":[259],"unreliable":[260],"this":[262],"task":[263],"relative":[265],"rankings":[266],"need":[267],"be":[269],"employed":[270],"get":[272],"dependable":[273],"evaluations.":[274]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-06-27T00:00:00"}