{"id":"https://openalex.org/W7161960434","doi":"https://doi.org/10.48550/arxiv.2605.20690","title":"Declarative Data Services: Structured Agentic Discovery for Composing Data Systems","display_name":"Declarative Data Services: Structured Agentic Discovery for Composing Data Systems","publication_year":2026,"publication_date":"2026-05-20","ids":{"openalex":"https://openalex.org/W7161960434","doi":"https://doi.org/10.48550/arxiv.2605.20690"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.20690","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20690","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.20690","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136639309","display_name":"Shanshan Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Shanshan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136723332","display_name":"Duo Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Duo","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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.10610000044107437,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.10610000044107437,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.09369999915361404,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.05810000002384186,"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/semaphore","display_name":"Semaphore","score":0.6484000086784363},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5200999975204468},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4779999852180481},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4205000102519989},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.37929999828338623},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3668999969959259},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.36149999499320984},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.3467999994754791},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.33980000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777899980545044},{"id":"https://openalex.org/C95203288","wikidata":"https://www.wikidata.org/wiki/Q221682","display_name":"Semaphore","level":2,"score":0.6484000086784363},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.49079999327659607},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4821000099182129},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4779999852180481},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4205000102519989},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.37929999828338623},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3668999969959259},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C9395851","wikidata":"https://www.wikidata.org/wiki/Q177929","display_name":"Stack (abstract data type)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C14156362","wikidata":"https://www.wikidata.org/wiki/Q3235388","display_name":"Descriptive knowledge","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C175971053","wikidata":"https://www.wikidata.org/wiki/Q827335","display_name":"Abstract data type","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C162838799","wikidata":"https://www.wikidata.org/wiki/Q596077","display_name":"Counterexample","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25699999928474426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.20690","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20690","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.20690","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20690","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":"Preprint"},"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":{"Agentic":[0],"discovery":[1,88,160],"has":[2],"shown":[3],"that":[4,112,168],"LLM-driven":[5],"search":[6,29,116,121],"can":[7],"find":[8],"novel":[9],"algorithms,":[10],"designs,":[11],"and":[12,42,71,140],"code":[13],"under":[14],"benchmark":[15],"conditions.":[16],"Translating":[17],"the":[18,28,33,114,126,129,169],"paradigm":[19],"to":[20,61],"multi-system":[21],"data":[22],"backends":[23],"surfaces":[24],"a":[25,37,53,65,148,153],"harder":[26],"problem:":[27],"space":[30],"is":[31,35,45],"heterogeneous,":[32],"verifier":[34],"whether":[36],"deployed":[38],"stack":[39,67],"actually":[40],"runs,":[41],"composition":[43,73],"knowledge":[44,74,133],"unevenly":[46],"captured":[47],"in":[48],"pretraining.":[49],"Unbounded":[50],"agentic":[51,87],"discovery,":[52],"coding":[54],"agent":[55],"iterating":[56],"on":[57,64,152],"failure-log":[58],"feedback,":[59],"fails":[60],"converge":[62],"consistently":[63],"working":[66],"even":[68],"when":[69],"iteration":[70],"explicit":[72],"are":[75],"added.":[76],"We":[77,174],"propose":[78],"Declarative":[79],"Data":[80],"Services":[81],"(DDS),":[82],"an":[83,178],"architecture":[84],"for":[85],"structured":[86],"of":[89,150],"data-system":[90,185],"compositions":[91],"from":[92,183],"declarative":[93],"user":[94],"intent.":[95],"The":[96],"framework":[97,127],"owns":[98],"four":[99],"typed":[100,123,145],"contracts":[101],"at":[102],"successive":[103],"layers":[104],"(intent,":[105],"operator":[106],"DAG,":[107],"per-system":[108],"skills,":[109],"runtime":[110,163],"attribution)":[111],"decompose":[113],"global":[115],"into":[117],"bounded":[118],"sub-searches;":[119],"sub-agents":[120],"each":[122],"space,":[124],"while":[125],"provides":[128],"channels":[130],"by":[131],"which":[132],"flows":[134],"forward":[135],"as":[136,144,177],"inline":[137],"skill":[138,166],"citations":[139],"errors":[141],"route":[142],"backward":[143],"signals.":[146],"As":[147],"proof":[149],"life":[151],"trading-backend":[154],"workload,":[155],"DDS":[156],"converges":[157],"where":[158],"unbounded":[159],"does":[161],"not;":[162],"failures":[164],"become":[165],"patches":[167],"next":[170],"deployment":[171],"cites":[172],"inline.":[173],"position":[175],"this":[176],"early":[179],"prototype":[180],"reporting":[181],"lessons":[182],"real-world":[184],"composition.":[186]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-22T00:00:00"}