{"id":"https://openalex.org/W7128388701","doi":"https://doi.org/10.48550/arxiv.2602.06054","title":"Are We Truly Innovating? A Qualitative and Quantitative Study of Originality in AI Research Papers","display_name":"Are We Truly Innovating? A Qualitative and Quantitative Study of Originality in AI Research Papers","publication_year":2026,"publication_date":"2026-01-14","ids":{"openalex":"https://openalex.org/W7128388701","doi":"https://doi.org/10.48550/arxiv.2602.06054"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.06054","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":null,"license_id":null,"version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125409500","display_name":"Abeer Mostafa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mostafa, Abeer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125408099","display_name":"Th\u1ecb H\u1ed3ng Nhung Nguy\u1ec5n","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nguyen, Thi Huyen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5035434415","display_name":"Zahra Ahmadi","orcid":"https://orcid.org/0000-0003-1110-4756"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmadi, Zahra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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/T10102","display_name":"scientometrics and bibliometrics research","score":0.17710000276565552,"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"}},"topics":[{"id":"https://openalex.org/T10102","display_name":"scientometrics and bibliometrics research","score":0.17710000276565552,"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"}},{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.14180000126361847,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.07590000331401825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.9352999925613403},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6626999974250793},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5060999989509583},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.4812000095844269},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.42969998717308044},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.3400999903678894},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.33959999680519104}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.9352999925613403},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6626999974250793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6050000190734863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.573199987411499},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5060999989509583},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4932999908924103},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.4812000095844269},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.42969998717308044},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.33959999680519104},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32749998569488525},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.31839999556541443},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C3018868096","wikidata":"https://www.wikidata.org/wiki/Q2693233","display_name":"Internal consistency","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25270000100135803}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.06054","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.06054","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.06054","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.06054","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5265079736709595,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Assessing":[0],"originality":[1,20,49,86,120],"in":[2,14,66,78,89,136,156],"AI":[3,58],"research":[4,48],"is":[5,87,121],"arguably":[6],"the":[7,67,93,127,157],"most":[8,97],"consequential":[9],"yet":[10],"least":[11],"reliable":[12],"step":[13],"peer":[15],"review.":[16],"Reviewer":[17],"judgments":[18],"of":[19,47,63,129,159],"remain":[21],"opaque,":[22],"inconsistent,":[23],"and":[24,44,75,91,113,149,167],"dependent":[25],"on":[26,51],"comparisons":[27],"to":[28,145,151],"prior":[29,73],"work":[30,74],"that":[31,96,109,141],"are":[32],"often":[33],"incomplete.":[34],"In":[35,123],"this":[36],"paper,":[37],"we":[38,82,125],"present":[39],"a":[40,61,105],"large-scale,":[41],"data-driven":[42],"qualitative":[43],"quantitative":[45],"analysis":[46,103],"based":[50],"over":[52],"100,000":[53],"peer-review":[54],"reports":[55],"from":[56],"leading":[57],"venues,":[59],"spanning":[60],"period":[62],"rapid":[64],"growth":[65],"field.":[68],"Leveraging":[69],"structured,":[70],"semantically":[71],"retrieved":[72],"signals":[76],"embedded":[77],"expert":[79],"reviewer":[80],"assessments,":[81],"systematically":[83,146],"characterize":[84],"how":[85,119],"perceived":[88],"practice":[90],"identify":[92],"key":[94],"dimensions":[95],"strongly":[98],"influence":[99],"novelty":[100,148],"judgments.":[101],"Our":[102],"yields":[104],"fine-grained,":[106],"evidence-based":[107],"framework":[108],"equips":[110],"both":[111],"authors":[112],"reviewers":[114],"with":[115],"actionable":[116],"insights":[117],"into":[118],"evaluated.":[122],"addition,":[124],"evaluate":[126],"reliability":[128],"current":[130],"large":[131],"language":[132],"model":[133],"(LLM)":[134],"agents":[135],"assessing":[137],"originality.":[138],"We":[139,161],"find":[140],"these":[142],"models":[143],"tend":[144],"overestimate":[147],"struggle":[150],"detect":[152],"conceptual":[153],"plagiarism,":[154],"particularly":[155],"presence":[158],"paraphrasing.":[160],"release":[162],"our":[163],"dataset,":[164],"trained":[165],"models,":[166],"code":[168],"at:":[169],"https://anonymous.4open.science/r/Novelty-Reviewer-365C/.":[170]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-10T00:00:00"}
