{"id":"https://openalex.org/W7151542866","doi":"https://doi.org/10.48550/arxiv.2604.04208","title":"Towards Agentic Defect Reasoning: A Graph-Assisted Retrieval Framework for Laser Powder Bed Fusion","display_name":"Towards Agentic Defect Reasoning: A Graph-Assisted Retrieval Framework for Laser Powder Bed Fusion","publication_year":2026,"publication_date":"2026-04-05","ids":{"openalex":"https://openalex.org/W7151542866","doi":"https://doi.org/10.48550/arxiv.2604.04208"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04208","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04208","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.2604.04208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088641445","display_name":"Muhammad Rizwan Awan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Awan, Muhammad Rizwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133110838","display_name":"Volker Pickert","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pickert, Volker","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133129662","display_name":"Muhammad Waqar Ashraf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ashraf, Muhammad Waqar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133080875","display_name":"Saleh Ali","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ali, Saleh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133114855","display_name":"Farshid Mahmouditabar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahmouditabar, Farshid","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5026832696","display_name":"Shafiq Odhano","orcid":"https://orcid.org/0000-0002-4387-773X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Odhano, Shafiq","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9505000114440918,"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"}},"topics":[{"id":"https://openalex.org/T10705","display_name":"Additive Manufacturing Materials and Processes","score":0.9505000114440918,"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/T10783","display_name":"Additive Manufacturing and 3D Printing Technologies","score":0.008799999952316284,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.002899999963119626,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5835000276565552},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.526199996471405},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5228999853134155},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5049999952316284},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.49470001459121704},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42399999499320984},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.42160001397132874},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4023999869823456}],"concepts":[{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5835000276565552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5568000078201294},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.526199996471405},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5228999853134155},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5049999952316284},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.49470001459121704},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42399999499320984},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.42160001397132874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4074999988079071},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.362199991941452},{"id":"https://openalex.org/C2775966667","wikidata":"https://www.wikidata.org/wiki/Q6423384","display_name":"Knowledge modeling","level":3,"score":0.35839998722076416},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.31369999051094055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.3037000000476837},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2711000144481659},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2547000050544739},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04208","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04208","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.2604.04208","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04208","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Laser":[0],"Powder":[1],"Bed":[2],"Fusion":[3],"(LPBF)":[4],"is":[5,24],"highly":[6],"sensitive":[7],"to":[8,86,117],"process":[9,115],"parameters,":[10,61],"which":[11],"influence":[12],"defect":[13,40,89,105],"formation":[14],"through":[15],"complex":[16],"thermal":[17],"and":[18,58,63,76,97,133],"fluid":[19],"mechanisms.":[20],"However,":[21],"defect-related":[22],"knowledge":[23,70,135],"dispersed":[25],"across":[26],"the":[27],"literature,":[28],"limiting":[29],"systematic":[30],"understanding.":[31],"This":[32,119],"study":[33],"presents":[34],"a":[35,47,55,81,122,130],"graph-assisted":[36],"retrieval":[37,94],"framework":[38,73,109],"for":[39,125,137],"reasoning":[41,84,112],"in":[42],"LPBF,":[43],"using":[44],"Ti6Al4V":[45],"as":[46],"case":[48],"study.":[49],"Scientific":[50],"publications":[51],"are":[52,65],"transformed":[53],"into":[54,67,129],"structured":[56],"representation,":[57],"relationships":[59],"between":[60],"mechanisms,":[62],"defects":[64],"encoded":[66],"an":[68],"evidence-linked":[69],"graph.":[71],"The":[72,108],"integrates":[74],"semantic":[75],"graph-based":[77],"retrieval,":[78],"supported":[79],"by":[80],"lightweight":[82],"agent-based":[83],"layer":[85],"construct":[87],"interpretable":[88,134],"pathways.":[90],"Evaluation":[91],"shows":[92],"high":[93],"accuracy":[95],"(0.9667)":[96],"recall":[98],"(0.9667),":[99],"demonstrating":[100],"effective":[101],"identification":[102],"of":[103],"relevant":[104],"related":[106],"evidence.":[107],"enables":[110],"transparent":[111],"chains":[113],"linking":[114],"parameters":[116],"defects.":[118],"work":[120],"provides":[121],"scalable":[123],"approach":[124],"converting":[126],"unstructured":[127],"literature":[128],"query":[131],"able":[132],"resource":[136],"additive":[138],"manufacturing.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-08T00:00:00"}