{"id":"https://openalex.org/W7160397731","doi":"https://doi.org/10.48550/arxiv.2605.03328","title":"LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing","display_name":"LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160397731","doi":"https://doi.org/10.48550/arxiv.2605.03328"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.03328","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03328","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":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.2605.03328","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040446901","display_name":"Ahmadreza Eslaminia","orcid":"https://orcid.org/0000-0002-9538-3328"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eslaminia, Ahmadreza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108875740","display_name":"Chuhan Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Chuhan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135489463","display_name":"Cameron Smith","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smith, Cameron","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090267727","display_name":"Ruo-Syuan Mei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mei, Ruo-Syuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135519308","display_name":"Shichen Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135456880","display_name":"Rajiv Malhotra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malhotra, Rajiv","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074224097","display_name":"Klara Nahrstedt","orcid":"https://orcid.org/0000-0001-6813-3043"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nahrstedt, Klara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5059084183","display_name":"Chenhui Shao","orcid":"https://orcid.org/0000-0002-3299-2222"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao, Chenhui","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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.6466000080108643,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.6466000080108643,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.21979999542236328,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.01549999974668026,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6252999901771545},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5442000031471252},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.49239999055862427},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4839000105857849},{"id":"https://openalex.org/keywords/fused-filament-fabrication","display_name":"Fused filament fabrication","score":0.4674000144004822},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.426800012588501},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.40959998965263367},{"id":"https://openalex.org/keywords/scratch","display_name":"Scratch","score":0.40070000290870667}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6252999901771545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6104000210762024},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5442000031471252},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.49239999055862427},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4839000105857849},{"id":"https://openalex.org/C2777510241","wikidata":"https://www.wikidata.org/wiki/Q18349149","display_name":"Fused filament fabrication","level":3,"score":0.4674000144004822},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.435699999332428},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.426800012588501},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.40959998965263367},{"id":"https://openalex.org/C2781235140","wikidata":"https://www.wikidata.org/wiki/Q275131","display_name":"Scratch","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3659000098705292},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3488999903202057},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.31349998712539673},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2969000041484833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29170000553131104},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.26249998807907104},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C2780395129","wikidata":"https://www.wikidata.org/wiki/Q1128971","display_name":"Rapid prototyping","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.03328","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03328","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.03328","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.03328","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.471505343914032,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Additive":[0],"manufacturing":[1,7,44],"(AM)":[2],"continues":[3],"to":[4,26,39,117,142,151],"transform":[5],"modern":[6],"by":[8],"enabling":[9],"flexible,":[10],"on-demand":[11],"production":[12,31],"of":[13,225],"complex":[14],"geometries":[15],"across":[16],"diverse":[17],"industries.":[18],"Fused":[19],"filament":[20],"fabrication":[21],"(FFF)":[22],"has":[23],"extended":[24],"AM":[25],"laboratories,":[27],"classrooms,":[28],"and":[29,59,125,132,139,157,184,192],"small":[30],"environments,":[32],"but":[33],"this":[34],"accessibility":[35],"shifts":[36],"process-planning":[37],"responsibility":[38],"users":[40],"who":[41],"may":[42],"lack":[43],"expertise.":[45],"A":[46],"syntactically":[47],"valid":[48],"slicer":[49],"profile":[50],"can":[51,63],"still":[52],"encode":[53],"thermally":[54],"or":[55,67,78,84,149,232],"geometrically":[56],"harmful":[57],"settings,":[58],"subtle":[60],"G-code":[61,74,115,140,175],"edits":[62],"alter":[64],"extrusion,":[65],"cooling,":[66],"adhesion":[68],"before":[69,82],"a":[70,94,114,118,135,145],"print":[71],"begins.":[72],"Pre-print":[73],"screening":[75],"catches":[76],"accidental":[77],"adversarial":[79],"machine-program":[80],"errors":[81,240],"material":[83,126],"machine":[85],"time":[86],"is":[87,147,221],"wasted.":[88],"This":[89],"paper":[90],"proposes":[91],"LLM-ADAM":[92],"as":[93],"generalizable":[95],"LLM":[96,158],"framework":[97,105,170,196],"for":[98,204,235,246],"pre-print":[99],"anomaly":[100,153],"detection":[101],"in":[102],"AM.":[103],"The":[104,194,210],"decomposes":[106],"the":[107,169,205,222],"task":[108],"into":[109,128],"three":[110],"roles:":[111],"Extractor-LLM":[112],"maps":[113],"file":[116],"structured":[119,214],"process-parameter":[120],"schema;":[121],"Reference-LLM":[122],"converts":[123],"printer":[124,180],"documentation":[127],"aligned":[129],"operating":[130],"ranges;":[131],"Judge-LLM":[133],"interprets":[134],"deterministic":[136],"deviation":[137],"table":[138],"evidence":[141],"decide":[143],"whether":[144],"part":[146],"non-defective":[148,247],"belongs":[150],"an":[152,172],"class.":[154],"Printers,":[155],"materials,":[156,183],"backbones":[159],"are":[160],"interchangeable":[161],"test":[162],"conditions,":[163],"not":[164],"fixed":[165],"assumptions.":[166],"We":[167],"evaluate":[168],"on":[171,242],"N=200":[173],"FFF":[174],"corpus":[176],"spanning":[177],"two":[178,182],"desktop":[179],"families,":[181],"five":[185],"classes":[186,229],"including":[187],"non-defective,":[188],"under-extrusion,":[189],"over-extrusion,":[190],"warping,":[191],"stringing.":[193],"best":[195],"configuration":[197],"reaches":[198],"87.5%":[199],"accuracy,":[200],"compared":[201],"with":[202,227],"59.5%":[203],"strongest":[206],"engineered":[207],"single-LLM":[208],"baseline.":[209],"results":[211],"show":[212],"that":[213],"decomposition,":[215],"rather":[216],"than":[217],"backbone":[218],"strength":[219],"alone,":[220],"dominant":[223],"source":[224],"improvement,":[226],"defect":[228],"identified":[230],"at":[231],"near":[233],"ceiling":[234],"leading":[236],"configurations":[237],"while":[238],"residual":[239],"concentrate":[241],"conservative":[243],"false":[244],"alarms":[245],"samples.":[248]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-07T00:00:00"}
