{"id":"https://openalex.org/W7167606693","doi":"https://doi.org/10.48550/arxiv.2607.02615","title":"TAG: A Lightweight Framework for Test-Driven Agentic Artifact Generation","display_name":"TAG: A Lightweight Framework for Test-Driven Agentic Artifact Generation","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7167606693","doi":"https://doi.org/10.48550/arxiv.2607.02615"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.02615","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02615","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.2607.02615","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028512768","display_name":"Y Melamed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Melamed, Yaniv","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140203129","display_name":"Yoni Zukerman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zukerman, Yoni","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000222102","display_name":"Michal Shechter","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shechter, Michal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140167627","display_name":"Miri Weissler","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weissler, Miri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103140025","display_name":"Ashwin Patil","orcid":"https://orcid.org/0000-0002-5278-6012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patil, Ashwin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5001116408","display_name":"Hani Neuvirth-Telem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neuvirth-Telem, Hani","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/T10028","display_name":"Topic Modeling","score":0.22509999573230743,"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":0.22509999573230743,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.08780000358819962,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.08380000293254852,"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/artifact","display_name":"Artifact (error)","score":0.7135999798774719},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.590499997138977},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5156000256538391},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5098999738693237},{"id":"https://openalex.org/keywords/replicate","display_name":"Replicate","score":0.4417000114917755},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.3937999904155731},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3917999863624573},{"id":"https://openalex.org/keywords/security-domain","display_name":"Security domain","score":0.38269999623298645}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872999906539917},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7135999798774719},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.590499997138977},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5156000256538391},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5098999738693237},{"id":"https://openalex.org/C2781162219","wikidata":"https://www.wikidata.org/wiki/Q26250693","display_name":"Replicate","level":2,"score":0.4417000114917755},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4074000120162964},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3937999904155731},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3917999863624573},{"id":"https://openalex.org/C2780264999","wikidata":"https://www.wikidata.org/wiki/Q7445032","display_name":"Security domain","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.35929998755455017},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34459999203681946},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.29919999837875366},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.29159998893737793},{"id":"https://openalex.org/C187029079","wikidata":"https://www.wikidata.org/wiki/Q958679","display_name":"Cognitive reframing","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.28360000252723694},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.257999986410141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25609999895095825},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.2533000111579895},{"id":"https://openalex.org/C111065885","wikidata":"https://www.wikidata.org/wiki/Q1189053","display_name":"Fuzz testing","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.02615","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02615","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.2607.02615","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02615","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":[{"id":"https://metadata.un.org/sdg/16","score":0.5498999953269958,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generating":[0],"structured":[1],"artifacts":[2],"with":[3],"Large":[4],"Language":[5],"Models":[6],"-":[7,16,170,180],"e.g.\\":[8],"database":[9],"queries,":[10],"threat":[11],"framework":[12,35,56,161,190],"mappings,":[13],"entity":[14,178],"schemas":[15],"is":[17],"relatively":[18],"straightforward;":[19],"however,":[20],"making":[21],"them":[22],"reliable":[23],"enough":[24],"for":[25],"production":[26,183],"deployments":[27],"presents":[28],"challenges.":[29],"We":[30,158,187],"present":[31],"TAG,":[32],"a":[33,38,202],"lightweight":[34],"based":[36],"on":[37,58,162],"core":[39],"principle:":[40],"\\textit{LLMs":[41],"generate,":[42],"we":[43],"validate}.":[44],"This":[45],"reframing":[46],"shifts":[47],"responsibility":[48],"from":[49],"generation":[50,199],"quality":[51,146],"to":[52,84,135,196,204],"validation":[53,156],"rigor.":[54],"The":[55],"rests":[57],"three":[59,163],"key":[60],"attributes:":[61],"First,":[62],"\\textbf{test":[63],"driven":[64],"generation}:":[65],"when":[66],"tests":[67,98,111,132],"fail,":[68],"the":[69,78,82,160,167,210],"LLM":[70,83,214],"receives":[71],"indicative":[72],"error":[73],"messages":[74],"that":[75,101,118,153],"expose":[76],"why":[77],"output":[79],"failed,":[80],"enabling":[81],"understand":[85],"its":[86],"mistakes":[87],"and":[88,94,115,137,177],"refine":[89],"subsequent":[90],"attempts.":[91],"Second,":[92],"\\textbf{deterministic":[93],"LLM-based":[95,110,131],"tests}:":[96],"deterministic":[97],"catch":[99],"heuristics":[100],"can":[102,191],"be":[103,192],"programmatically":[104],"verified":[105],"(schema,":[106],"syntax,":[107],"cross-reference),":[108],"while":[109],"evaluate":[112],"nuanced":[113],"semantic":[114],"delicate":[116],"features":[117],"resist":[119],"programmatic":[120],"inspection":[121],"(intent":[122],"alignment,":[123],"logical":[124],"consistency,":[125],"domain":[126,169],"correctness).":[127],"Third,":[128],"\\textbf{expert-distilled":[129],"judges}:":[130],"are":[133],"calibrated":[134],"distill":[136],"replicate":[138],"human":[139,145],"expert":[140],"decision":[141],"distribution,":[142],"transforming":[143],"manual":[144],"gates":[147],"into":[148],"scalable,":[149],"reusable":[150],"evaluation":[151],"proxies":[152],"reflect":[154],"professional-grade":[155],"standards.":[157],"demonstrate":[159],"artifact":[164,198],"types":[165],"in":[166,182],"security":[168,195],"KQL":[171],"query":[172],"generation,":[173],"MITRE":[174],"ATT\\&CK":[175],"mapping,":[176],"mapping":[179],"deployed":[181],"at":[184],"Microsoft":[185],"Sentinel.":[186],"believe":[188],"this":[189],"applied":[193],"beyond":[194],"other":[197],"tasks,":[200],"providing":[201],"path":[203],"reliable,":[205],"high-quality":[206],"outputs":[207],"without":[208],"sacrificing":[209],"efficiency":[211],"gains":[212],"of":[213],"generation.":[215]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-08T00:00:00"}