{"id":"https://openalex.org/W7171495912","doi":"https://doi.org/10.48550/arxiv.2607.22642","title":"CRAFT: Learn the Schema, Execute the Plan","display_name":"CRAFT: Learn the Schema, Execute the Plan","publication_year":2026,"publication_date":"2026-06-24","ids":{"openalex":"https://openalex.org/W7171495912","doi":"https://doi.org/10.48550/arxiv.2607.22642"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.22642","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22642","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2607.22642","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038379351","display_name":"Aakash Kolekar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kolekar, Aakash","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081497309","display_name":"\u015eahika Gen\u00e7","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Genc, Sahika","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040904107","display_name":"Shahriar Shariat","orcid":"https://orcid.org/0000-0002-5936-1586"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shariat, Shahriar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036511132","display_name":"Bunyamin Sisman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sisman, Bunyamin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143850003","display_name":"Tibor Mezi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mezi, Tibor","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009958753","display_name":"B\u00e1rbara Poblete","orcid":"https://orcid.org/0000-0002-7669-645X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Poblete, Barbara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143753776","display_name":"Shree Vandana Kachroo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kachroo, Shree Vandana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053222717","display_name":"Calvin Chi","orcid":"https://orcid.org/0000-0002-4757-0559"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chi, Calvin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107784300","display_name":"Parth Parmar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parmar, Parth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042206488","display_name":"Ari Singer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Singer, Ari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143828428","display_name":"Prayaas Jain","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jain, Prayaas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143845201","display_name":"Cindy Barker","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Barker, Cindy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136489187","display_name":"Benoit Dumoulin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dumoulin, Benoit","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/T10260","display_name":"Software Engineering Research","score":0.12950000166893005,"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"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.12950000166893005,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.09350000321865082,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.061000000685453415,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/schema","display_name":"Schema (genetic algorithms)","score":0.630299985408783},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.6258999705314636},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5149000287055969},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.48019999265670776},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.43950000405311584},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.4316999912261963},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4262000024318695},{"id":"https://openalex.org/keywords/reusability","display_name":"Reusability","score":0.41749998927116394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7616000175476074},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.630299985408783},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6258999705314636},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5149000287055969},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.5006999969482422},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.48019999265670776},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.43950000405311584},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.4316999912261963},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C137981799","wikidata":"https://www.wikidata.org/wiki/Q1369184","display_name":"Reusability","level":3,"score":0.41749998927116394},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.41510000824928284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3671000003814697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3587999939918518},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C2780660560","wikidata":"https://www.wikidata.org/wiki/Q3951893","display_name":"Schema evolution","level":4,"score":0.3285999894142151},{"id":"https://openalex.org/C207850805","wikidata":"https://www.wikidata.org/wiki/Q269608","display_name":"Reverse engineering","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C2779732396","wikidata":"https://www.wikidata.org/wiki/Q2207288","display_name":"Craft","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26429998874664307},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.22642","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22642","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.22642","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.22642","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6614704132080078}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Enterprise":[0],"coding":[1,75],"agents":[2],"translate":[3],"natural-language":[4],"analytical":[5,152],"requests":[6],"into":[7,28],"executable":[8,86],"code":[9,106],"over":[10],"proprietary":[11],"APIs,":[12],"schemas,":[13],"and":[14,25,37,49,85,110,128,150,166,172,193,206,220],"metric":[15,145],"definitions.":[16],"Yet":[17],"the":[18,60,101,162],"prevailing":[19],"deployment":[20,216],"pattern":[21],"injecting":[22],"exhaustive":[23,92],"schema":[24,35,47,94],"tool":[26,104,164],"documentation":[27],"each":[29],"prompt":[30],"increases":[31],"inference":[32],"overhead,":[33],"complicates":[34],"evolution,":[36],"undermines":[38],"reliability":[39],"in":[40,138,229],"multi-turn":[41,151,194,225],"analysis.":[42],"We":[43,66,132,213],"investigate":[44],"whether":[45],"stable":[46],"knowledge":[48],"tool-use":[50,226],"behavior":[51],"can":[52],"instead":[53],"be":[54],"acquired":[55],"through":[56,119],"post-training":[57,71],"while":[58,199],"preserving":[59],"consistency":[61,189],"required":[62,223],"for":[63,73,103,135,224],"production-facing":[64],"analytics.":[65],"present":[67],"CRAFT,":[68],"a":[69,120,178],"two-stage":[70],"recipe":[72],"schema-grounded":[74],"agents.":[76],"First,":[77],"schema-stripped":[78],"PLAN":[79],"supervised":[80],"fine-tuning":[81],"learns":[82],"domain-structured":[83],"plans":[84],"behaviors":[87],"from":[88,112],"validated":[89],"trajectories":[90,116],"without":[91],"prompt-time":[93],"injection.":[95],"Second,":[96],"execution-shaped":[97],"reinforcement":[98,227],"learning":[99,228],"aligns":[100],"policy":[102],"selection,":[105],"quality,":[107],"plan-code":[108],"consistency,":[109],"recovery":[111],"failed":[113],"executions.":[114],"Training":[115],"are":[117],"curated":[118],"Tri-Gate":[121],"filter":[122],"combining":[123],"execution":[124],"validation,":[125],"data-integrity":[126],"checks,":[127],"LLM-judge":[129],"reasoning":[130],"audit.":[131],"evaluate":[133],"CRAFT":[134,181],"planned":[136],"rollout":[137],"advertising":[139],"analytics,":[140],"covering":[141],"campaign":[142],"performance":[143,148],"analysis,":[144,149],"drill-downs,":[146],"entity-level":[147],"refinement.":[153],"The":[154],"enterprise":[155,230],"evaluation":[156],"environment":[157],"incorporates":[158],"beta":[159],"APIs":[160],"as":[161],"agent-facing":[163],"surface":[165],"spans":[167],"25":[168],"schema-linked":[169],"core":[170],"entities":[171],"30":[173],"agentic":[174],"workflows.":[175],"Relative":[176],"to":[177,211],"schema-stuffed":[179],"baseline,":[180],"improves":[182],"composite":[183],"Agent":[184],"Score":[185],"by":[186,190,196,203,209],"+9.6":[187],"pp,":[188,192,198],"+4.1":[191],"coherence":[195],"+4.2":[197],"reducing":[200],"input-token":[201],"burden":[202],"approximately":[204],"9x":[205],"schema-discovery":[207],"loops":[208],"up":[210],"5x.":[212],"further":[214],"report":[215],"tradeoffs,":[217],"reward-shaping":[218],"limitations,":[219],"training-infrastructure":[221],"extensions":[222],"settings.":[231]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-07-29T00:00:00"}
