{"id":"https://openalex.org/W4292945940","doi":"https://doi.org/10.48550/arxiv.2208.10460","title":"Towards Clause Learning \u00e0 la Carte through VarMonads","display_name":"Towards Clause Learning \u00e0 la Carte through VarMonads","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4292945940","doi":"https://doi.org/10.48550/arxiv.2208.10460"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.10460","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2208.10460","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028772218","display_name":"Arved Friedemann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Friedemann, Arved","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053581656","display_name":"Oliver Kesz\u00f6cze","orcid":"https://orcid.org/0000-0003-2033-6153"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keszocze, Oliver","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":59},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9978,"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":0.9978,"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/T10126","display_name":"Logic, programming, and type systems","score":0.9958,"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.994,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327868},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5878042},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.43099824},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3366362}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.10460","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2208.10460","pdf_url":"http://arxiv.org/pdf/2208.10460","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2208.10460","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2208.10460","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_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391913857","https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2478288626","https://openalex.org/W2390279801","https://openalex.org/W2382290278","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2350741829","https://openalex.org/W2001405890"],"abstract_inverted_index":{"More":[0],"and":[1,86,147],"more":[2],"languages":[3,175],"have":[4,41],"a":[5,21,29,48,72,77,90,95,106,143,205],"need":[6],"for":[7,11,51,60,114,118,122,157,166],"constraint":[8,124],"solving":[9],"capabilities":[10],"features":[12],"like":[13],"error":[14],"detection":[15],"or":[16],"automatic":[17],"code":[18],"generation.":[19],"Imagine":[20],"dependently":[22],"typed":[23],"language":[24],"that":[25,56,93,140,200],"can":[26,112],"immediately":[27],"implement":[28],"program":[30,61],"as":[31,33,176],"soon":[32],"its":[34],"type":[35],"is":[36,67,84,145],"given.":[37],"In":[38],"SAT-solving,":[39],"there":[40],"been":[42],"several":[43],"techniques":[44,66],"to":[45,54,88,151,172,210],"speed":[46],"up":[47],"search":[49,73,186,208],"process":[50],"satisfying":[52],"assignments":[53],"variables":[55],"could":[57],"be":[58,211],"used":[59,87],"synthesis.":[62],"One":[63],"of":[64,81],"these":[65],"clause":[68,92,190,206],"learning":[69,207],"where,":[70],"if":[71,99],"branch":[74,96],"runs":[75],"into":[76],"conflict,":[78],"the":[79,82,100,137,153,189,198],"cause":[80],"conflict":[83,101,158],"analysed":[85],"create":[89,152],"new":[91],"lets":[94],"fail":[97],"earlier":[98],"arises":[102],"again.":[103],"We":[104,132],"provide":[105,183],"framework":[107],"with":[108],"which":[109],"this":[110,134,149],"technique":[111,202],"come":[113],"free":[115],"not":[116,182],"just":[117],"Boolean":[119],"solvers,":[120],"but":[121,169,192],"any":[123],"solver":[125],"running":[126],"on":[127],"recursive":[128],"algebraic":[129],"data":[130],"types.":[131],"achieve":[133],"by":[135],"tracking":[136],"read":[138],"operations":[139],"happen":[141],"before":[142],"variable":[144],"assigned":[146],"use":[148],"information":[150],"dependency":[154],"graph":[155],"needed":[156],"analysis.":[159],"Our":[160],"results":[161],"are":[162],"implemented":[163],"in":[164],"Agda":[165],"best":[167],"readability,":[168],"they":[170],"transfer":[171],"other":[173],"functional":[174],"well.":[177],"For":[178],"brevity,":[179],"we":[180],"do":[181],"an":[184],"entire":[185],"system":[187,209],"utilizing":[188],"learning,":[191],"it":[193],"will":[194],"become":[195],"clear":[196],"from":[197],"formalisms":[199],"our":[201],"indeed":[203],"enables":[204],"built.":[212]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4292945940","counts_by_year":[],"updated_date":"2025-02-25T22:52:30.644925","created_date":"2022-08-24"}