{"id":"https://openalex.org/W7164035786","doi":"https://doi.org/10.48550/arxiv.2606.09500","title":"Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture","display_name":"Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture","publication_year":2026,"publication_date":"2026-06-08","ids":{"openalex":"https://openalex.org/W7164035786","doi":"https://doi.org/10.48550/arxiv.2606.09500"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.09500","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09500","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":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.2606.09500","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025698280","display_name":"Yoojin Nam","orcid":"https://orcid.org/0000-0001-8565-1360"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nam, Yoojin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044116369","display_name":"Jinhoon Jeong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong, Jinhoon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138272667","display_name":"Namkug Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Namkug","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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.48260000348091125,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.48260000348091125,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.16369999945163727,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.051500000059604645,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/workflow","display_name":"Workflow","score":0.7196999788284302},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.519599974155426},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4715000092983246},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.4189000129699707},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.384799987077713},{"id":"https://openalex.org/keywords/exception-handling","display_name":"Exception handling","score":0.3781000077724457},{"id":"https://openalex.org/keywords/informatics","display_name":"Informatics","score":0.35359999537467957},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.34869998693466187}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7196999788284302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7111999988555908},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.519599974155426},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.5013999938964844},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4715000092983246},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.4189000129699707},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3912999927997589},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C145428669","wikidata":"https://www.wikidata.org/wiki/Q471748","display_name":"Exception handling","level":2,"score":0.3781000077724457},{"id":"https://openalex.org/C191630685","wikidata":"https://www.wikidata.org/wiki/Q4027615","display_name":"Informatics","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.2973000109195709},{"id":"https://openalex.org/C2777723229","wikidata":"https://www.wikidata.org/wiki/Q4367921","display_name":"Learnability","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2856999933719635},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2709999978542328},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2572999894618988},{"id":"https://openalex.org/C64260653","wikidata":"https://www.wikidata.org/wiki/Q1194864","display_name":"Electronic design automation","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.09500","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09500","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":"doi:10.48550/arxiv.2606.09500","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.09500","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.8504974842071533,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"autonomous":[1],"research":[2],"agents":[3],"and":[4,39,48,82,99,145,158,196,222,241],"AI":[5],"co-scientist":[6],"systems":[7],"push":[8],"large":[9],"language":[10],"models":[11],"(LLMs)":[12],"from":[13,22,36],"drafting":[14],"toward":[15],"end-to-end":[16],"manuscript":[17],"production,":[18],"the":[19,51,71,88,117,150,159,169,180,199,211],"bottleneck":[20],"shifts":[21],"generation":[23,63],"to":[24,216],"verification.":[25],"Fluent":[26],"LLM":[27,187],"output":[28],"can":[29],"hide":[30],"fabricated":[31],"citations,":[32],"numbers":[33],"that":[34,54,209],"drift":[35],"source":[37],"tables,":[38],"unmet":[40],"reporting-guideline":[41],"items;":[42],"existing":[43],"tools":[44],"generate":[45],"without":[46],"verifying,":[47],"self-critique":[49],"inherits":[50],"blind":[52],"spots":[53],"produce":[55],"confident":[56],"fabrication.":[57],"We":[58],"describe":[59],"an":[60,113,126,205,218],"architecture":[61],"pairing":[62],"with":[64,80,87,132,175],"verification,":[65],"resting":[66],"on":[67,138,164,179],"three":[68,139,151],"principles:":[69],"decompose":[70],"workflow":[72],"into":[73],"self-contained":[74],"skills,":[75],"gate":[76],"every":[77,153],"stage":[78],"transition":[79],"halt-on-failure,":[81],"resolve":[83],"each":[84],"integrity":[85],"question":[86],"cheapest":[89],"sufficient":[90],"mechanism,":[91],"a":[92,100,133,146,185,213,226,232],"deterministic,":[93],"re-executable":[94,207],"check":[95,217],"where":[96,104],"one":[97],"suffices":[98],"prose-level":[101],"probe":[102],"only":[103],"interpretation":[105],"is":[106,116,121,239],"unavoidable.":[107],"This":[108],"determinism-where-possible":[109],"split,":[110],"organized":[111],"as":[112,123],"integrity-gate":[114],"taxonomy,":[115],"core":[118],"contribution.":[119],"It":[120],"realized":[122],"MedSci":[124,237],"Skills,":[125],"open-source":[127],"toolkit":[128],"of":[129,228],"43":[130],"skills":[131],"21-detector":[134],"deterministic":[135,170],"tier,":[136],"evaluated":[137],"public-dataset":[140],"pipelines":[141,152],"(STARD,":[142],"PRISMA,":[143],"STROBE)":[144],"seeded-defect":[147],"ablation.":[148],"Across":[149],"content-hash":[154],"manifest":[155],"verified":[156],"clean":[157,182],"gates":[160,171],"surfaced":[161],"real":[162],"defects;":[163],"27":[165,174],"identical":[166],"injected":[167],"defects":[168,198],"detected":[172,189],"all":[173],"no":[176],"false":[177],"positives":[178],"matched":[181],"fixtures,":[183],"whereas":[184],"single-prompt":[186],"reviewer":[188],"11,":[190],"its":[191],"misses":[192],"in":[193],"code,":[194],"bibliography,":[195],"style":[197],"prose":[200],"hides.":[201],"Determinism-where-possible":[202],"verification":[203],"yields":[204],"auditable,":[206],"trail":[208],"exposes":[210],"evidence":[212],"human":[214],"needs":[215],"LLM-assisted":[219],"manuscript:":[220],"feasibility":[221],"reproducibility":[223],"evidence,":[224],"not":[225],"claim":[227],"human-competitive":[229],"quality,":[230],"which":[231],"separate":[233],"blinded":[234],"study":[235],"addresses.":[236],"Skills":[238],"MIT-licensed":[240],"archived":[242],"(v3.8.0).":[243]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-10T00:00:00"}