{"id":"https://openalex.org/W7133207539","doi":"https://doi.org/10.48550/arxiv.2602.24144","title":"Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation","display_name":"Fixed Anchors Are Not Enough: Dynamic Retrieval and Persistent Homology for Dataset Distillation","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7133207539","doi":"https://doi.org/10.48550/arxiv.2602.24144"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.24144","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127803991","display_name":"Muquan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Muquan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070193665","display_name":"Hang Gou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gou, Hang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079566053","display_name":"Yingyi Ma","orcid":"https://orcid.org/0000-0001-9960-9163"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Yingyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085893267","display_name":"Rongzheng Wang","orcid":"https://orcid.org/0009-0000-9199-0000"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Rongzheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127797013","display_name":"Ke Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Ke","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127832400","display_name":"Tao He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Tao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5127803991"],"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.7581999897956848,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.7581999897956848,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.07859999686479568,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.05909999832510948,"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/persistent-homology","display_name":"Persistent homology","score":0.7074999809265137},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5706999897956848},{"id":"https://openalex.org/keywords/topological-data-analysis","display_name":"Topological data analysis","score":0.5320000052452087},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.51910001039505},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4657000005245209},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.45100000500679016},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4474000036716461},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.38359999656677246}],"concepts":[{"id":"https://openalex.org/C2874115","wikidata":"https://www.wikidata.org/wiki/Q17099562","display_name":"Persistent homology","level":2,"score":0.7074999809265137},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295999884605408},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5706999897956848},{"id":"https://openalex.org/C2776477805","wikidata":"https://www.wikidata.org/wiki/Q4460773","display_name":"Topological data analysis","level":2,"score":0.5320000052452087},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.51910001039505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47029998898506165},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4657000005245209},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.45100000500679016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3824000060558319},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35179999470710754},{"id":"https://openalex.org/C165525559","wikidata":"https://www.wikidata.org/wiki/Q224180","display_name":"Homology (biology)","level":3,"score":0.34540000557899475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.24144","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.24144","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24144","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.24144","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7129720449447632}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Decoupled":[0],"dataset":[1],"distillation":[2],"(DD)":[3],"compresses":[4],"large":[5],"corpora":[6],"into":[7],"a":[8,14,28,32,50,65,69,74,87,110],"few":[9],"synthetic":[10,129],"images":[11,117,163],"by":[12,72],"matching":[13],"frozen":[15],"teacher's":[16],"statistics.":[17],"However,":[18],"current":[19],"residual-matching":[20],"pipelines":[21],"rely":[22],"on":[23,157],"static":[24],"real":[25,66,127],"patches,":[26],"creating":[27],"fit-complexity":[29,75],"gap":[30],"and":[31,39,52,120,122,128,138,150],"pull-to-anchor":[33,132],"effect":[34],"that":[35],"reduce":[36],"intra-class":[37],"diversity":[38],"hurt":[40],"generalization.":[41],"To":[42],"address":[43],"these":[44],"issues,":[45],"we":[46,108],"introduce":[47],"RETA":[48,142],"--":[49],"Retrieval":[51,61],"Topology":[53,100],"Alignment":[54,101],"framework":[55],"for":[56],"decoupled":[57],"DD.":[58],"First,":[59],"Dynamic":[60],"Connection":[62],"(DRC)":[63],"selects":[64],"patch":[67,83],"from":[68],"prebuilt":[70],"pool":[71],"minimizing":[73],"score":[76],"in":[77],"teacher":[78],"feature":[79,92,113],"space;":[80],"the":[81,168],"chosen":[82],"is":[84],"injected":[85,96],"via":[86],"residual":[88],"connection":[89],"to":[90],"tighten":[91],"fit":[93],"while":[94],"controlling":[95],"complexity.":[97],"Second,":[98],"Persistent":[99],"(PTA)":[102],"regularizes":[103],"synthesis":[104],"with":[105,159],"persistent":[106],"homology:":[107],"build":[109],"mutual":[111],"k-NN":[112],"graph,":[114],"compute":[115],"persistence":[116],"of":[118],"components":[119],"loops,":[121],"penalize":[123],"topology":[124],"discrepancies":[125],"between":[126],"sets,":[130],"mitigating":[131],"effect.":[133],"Across":[134],"CIFAR-100,":[135],"Tiny-ImageNet,":[136],"ImageNet-1K,":[137],"multiple":[139],"ImageNet":[140],"subsets,":[141],"consistently":[143],"outperforms":[144],"various":[145],"baselines":[146],"under":[147],"comparable":[148],"time":[149],"memory,":[151],"especially":[152],"reaching":[153],"64.3%":[154],"top-1":[155],"accuracy":[156],"ImageNet-1K":[158],"ResNet-18":[160],"at":[161],"50":[162],"per":[164],"class,":[165],"+3.1%":[166],"over":[167],"best":[169],"prior.":[170]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-03T00:00:00"}
