{"id":"https://openalex.org/W7213664663","doi":"https://doi.org/10.48550/arxiv.2610.08884","title":"Task-Sufficient Contraction: Source Selection for Machine Information Interfaces","display_name":"Task-Sufficient Contraction: Source Selection for Machine Information Interfaces","publication_year":2026,"publication_date":"2026-09-18","ids":{"openalex":"https://openalex.org/W7213664663","doi":"https://doi.org/10.48550/arxiv.2610.08884"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.08884","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.08884","pdf_url":"https://arxiv.org/pdf/2610.08884","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.08884","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109656356","display_name":"Joss Armstrong","orcid":"https://orcid.org/0009-0009-3462-9679","observed_orcids":["https://orcid.org/0009-0009-3462-9679"]},"institutions":[{"id":"https://openalex.org/I4210150373","display_name":"Ericsson (Ireland)","ror":"https://ror.org/04swdfh12","country_code":"IE","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210150373"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Armstrong, Joss","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109656356"],"corresponding_institution_ids":["https://openalex.org/I4210150373"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9365000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.006899999920278788,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.003100000089034438,"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/pollution-prevention","display_name":"pollution prevention","score":0.8059999942779541},{"id":"https://openalex.org/keywords/information-bottleneck","display_name":"information bottleneck","score":0.6790000200271606},{"id":"https://openalex.org/keywords/squared-error-loss","display_name":"squared error loss","score":0.5989999771118164},{"id":"https://openalex.org/keywords/water-filling","display_name":"water-filling","score":0.6110000014305115},{"id":"https://openalex.org/keywords/heterogeneous-machines","display_name":"heterogeneous machines","score":0.39500001072883606}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863000154495239},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.5586000084877014},{"id":"https://openalex.org/C61445026","wikidata":"https://www.wikidata.org/wiki/Q217608","display_name":"Fixed point","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4375},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3950999975204468},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.36649999022483826},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.36010000109672546},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.3578999936580658},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C163415756","wikidata":"https://www.wikidata.org/wiki/Q126473","display_name":"Contraction (grammar)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30320000648498535},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2944999933242798},{"id":"https://openalex.org/C2778095710","wikidata":"https://www.wikidata.org/wiki/Q6031225","display_name":"Information source (mathematics)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29109999537467957},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.2793999910354614},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2662000060081482},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":5,"locations":[{"id":"pmh:oai:arXiv.org:2610.08884","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.08884","pdf_url":"https://arxiv.org/pdf/2610.08884","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.08884","doi":"https://doi.org/10.48550/arxiv.2610.08884","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.08884","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,"listed_in":[],"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"},{"id":"doi:10.5281/zenodo.22834531","doi":"https://doi.org/10.5281/zenodo.22834531","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22834531","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},{"id":"doi:10.5281/zenodo.22834532","doi":"https://doi.org/10.5281/zenodo.22834532","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.22834532","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},{"id":"doi:10.5281/zenodo.23091513","doi":"https://doi.org/10.5281/zenodo.23091513","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23091513","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.08884","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.08884","pdf_url":"https://arxiv.org/pdf/2610.08884","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7213664663.pdf","grobid_xml":"https://content.openalex.org/works/W7213664663.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1978469611","https://openalex.org/W1990742913","https://openalex.org/W2050495532","https://openalex.org/W2074007957","https://openalex.org/W2088432971","https://openalex.org/W2791950347","https://openalex.org/W7155053767","https://openalex.org/W7156704807","https://openalex.org/W7158962734","https://openalex.org/W7163567233","https://openalex.org/W7163692864","https://openalex.org/W7164163674","https://openalex.org/W7164351602","https://openalex.org/W7164482291","https://openalex.org/W7213512209","https://openalex.org/W7214742898"],"related_works":["https://openalex.org/W7158962734","https://openalex.org/W7214979800","https://openalex.org/W7156911138","https://openalex.org/W4237523487","https://openalex.org/W7098271767","https://openalex.org/W2950103670","https://openalex.org/W2054905458","https://openalex.org/W7129064403","https://openalex.org/W2118791477","https://openalex.org/W2208852763"],"abstract_inverted_index":{"A":[0,143],"declared":[1],"task":[2,46,226],"can":[3,171],"sometimes":[4],"certify":[5],"a":[6,10,34,80,83,90,96,174,216,224],"reduced":[7,40,123,159],"source":[8,41,66,75,98,120,124,160],"before":[9,47,137],"downstream":[11,31],"encoder,":[12],"codebook,":[13],"rate,":[14],"distortion":[15,139],"target,":[16],"or":[17],"optimizer":[18],"is":[19,42,52,135,141,161,189],"chosen.":[20,142],"This":[21],"paper":[22,94],"studies":[23],"when":[24,103],"one":[25],"such":[26],"reduction":[27,134],"preserves":[28,125],"the":[29,45,48,58,68,73,93,108,118,126,133,138,157,162,165,185],"complete":[30,127],"problem":[32,60],"family,":[33],"property":[35],"termed":[36],"Task-Sufficient":[37],"Contraction.":[38],"The":[39,213],"fixed":[43,84,91,136,175],"by":[44,99,121],"later":[49,59],"operating":[50],"point":[51],"selected.":[53],"An":[54],"exact":[55,148],"contraction":[56],"allows":[57],"to":[61,204,221],"be":[62],"solved":[63],"on":[64,153],"that":[65],"with":[67,82],"same":[69,109],"result":[70,145],"as":[71],"if":[72],"full":[74,232],"had":[76],"been":[77],"retained.":[78],"For":[79,113],"machine":[81],"set":[85],"of":[86],"possible":[87],"actions":[88,170],"and":[89,197,210],"loss,":[92],"identifies":[95],"consumer-specific":[97],"merging":[100],"states":[101],"only":[102,184],"every":[104],"available":[105],"action":[106,115,188],"has":[107],"regret":[110],"in":[111,167],"both.":[112],"finite":[114],"sets,":[116],"replacing":[117],"richer":[119],"this":[122,178],"one-step":[128],"rate-regret":[129],"curve,":[130],"even":[131],"though":[132],"target":[140],"second":[144],"gives":[146],"an":[147],"characterization":[149],"for":[150,218],"quadratic":[151],"loss":[152],"affine":[154],"feasible-action":[155],"sets:":[156],"canonical":[158],"projection":[163],"onto":[164],"directions":[166],"which":[168],"feasible":[169],"differ.":[172],"Under":[173],"energy":[176],"budget,":[177],"becomes":[179],"centered":[180],"load,":[181],"while":[182],"retaining":[183],"optimal":[186],"water-filled":[187],"too":[190],"coarse.":[191],"Earlier":[192],"Information":[193],"Bottleneck,":[194],"semantic":[195],"rate-distortion,":[196],"goal-oriented":[198],"quantization":[199],"results":[200],"are":[201],"then":[202],"used":[203],"distinguish":[205],"exact,":[206],"architecture-conditioned,":[207],"approximate,":[208],"failed,":[209],"corrected":[211],"contractions.":[212],"framework":[214],"suggests":[215],"way":[217],"heterogeneous":[219],"machines":[220],"exchange":[222],"what":[223],"receiving":[225],"needs":[227],"without":[228],"first":[229],"aligning":[230],"their":[231],"internal":[233],"representations.":[234]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-09-20T00:00:00"}