{"id":"https://openalex.org/W7160894119","doi":"https://doi.org/10.48550/arxiv.2605.08281","title":"Is Class Signal Clustered or Routed in Task-Induced Implicit Neural Representation Weight Spaces?","display_name":"Is Class Signal Clustered or Routed in Task-Induced Implicit Neural Representation Weight Spaces?","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160894119","doi":"https://doi.org/10.48550/arxiv.2605.08281"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08281","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08281","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.08281","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135987819","display_name":"Xinyi Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Xinyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086729425","display_name":"Mingyi He","orcid":"https://orcid.org/0000-0003-2051-6955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Mingyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135957688","display_name":"Haobin Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Haobin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135924872","display_name":"Weiming Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Weiming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135940062","display_name":"Xinrui Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xinrui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100331436","display_name":"Jiawen Li","orcid":"https://orcid.org/0000-0001-9339-2557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jiawen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135975141","display_name":"Di Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Di","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121646947","display_name":"Minxi Ouyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ouyang, Minxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135976146","display_name":"Yizhi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yizhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135972075","display_name":"Xitong Ling","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling, Xitong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"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/T11094","display_name":"Face Recognition and Perception","score":0.6086999773979187,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.6086999773979187,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.05829999968409538,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10465","display_name":"Neurobiology of Language and Bilingualism","score":0.0575999990105629,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6998999714851379},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5910999774932861},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5831000208854675},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5126000046730042},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5084999799728394},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4763000011444092},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.42489999532699585},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3418000042438507},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3395000100135803}],"concepts":[{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6998999714851379},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942999958992004},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5910999774932861},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5831000208854675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5781000256538391},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5126000046730042},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4763000011444092},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43369999527931213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3395000100135803},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.27489998936653137},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2694000005722046},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2547000050544739},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.25130000710487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08281","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08281","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.08281","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08281","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":"article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6103116273880005,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Implicit":[0],"neural":[1],"representations":[2],"(INRs)":[3],"encode":[4],"images":[5],"as":[6,140],"neural-network":[7],"weights,":[8],"making":[9,91],"image":[10],"classification":[11],"a":[12,52,141],"problem":[13],"of":[14,114],"weight-space":[15,70],"classifiability.":[16],"A":[17],"natural":[18],"geometric":[19,205],"hypothesis":[20,39],"is":[21,212],"that":[22,65,108,164],"classifier":[23],"feedback":[24],"should":[25],"make":[26,85],"image-specific":[27,61],"weights":[28,197],"cluster":[29],"by":[30],"class":[31,210],"in":[32,40,123,135],"the":[33,41,92,97,124,130,136,148,179,189,215],"shared-anchor":[34,190],"coordinate.":[35,126],"We":[36,63,127],"test":[37],"this":[38,66],"SIREN-based":[42],"Meta":[43],"Weight":[44],"Transformer":[45],"(MWT)":[46],"regime,":[47],"where":[48],"end-to-end":[49],"training":[50,181],"meta-learns":[51],"shared":[53],"initialization":[54],"and":[55,72,157],"inner-loop":[56,176],"update":[57],"schedule":[58],"for":[59,147],"fitting":[60],"SIRENs.":[62],"find":[64],"prediction":[67],"fails.":[68],"Exposed":[69],"geometry":[71],"supervised":[73],"clustering":[74,82],"pressure":[75],"do":[76],"not":[77,122,200],"reliably":[78],"track":[79],"trained-reader":[80,115],"accuracy;":[81],"can":[83],"even":[84],"local":[86],"neighborhoods":[87,110],"more":[88],"class-consistent":[89],"while":[90],"trained":[93,149],"reader":[94,98,120,166],"worse.":[95],"Crucially,":[96],"constructs":[99],"rather":[100],"than":[101],"inherits":[102],"class-aligned":[103,109],"geometry:":[104],"token-flow":[105],"diagnostics":[106],"show":[107],"become":[111],"strongly":[112],"predictive":[113],"accuracy":[116],"only":[117],"after":[118],"late":[119],"interactions,":[121],"input":[125],"further":[128],"identify":[129],"native":[131],"SIREN":[132],"bias":[133,171],"column":[134],"augmented":[137],"weight":[138],"token":[139],"low-dimensional,":[142],"sample-dependent":[143],"causal":[144],"readout":[145],"route":[146],"reader;":[150],"targeted":[151],"controls":[152],"rule":[153],"out":[154],"generic":[155],"scalar-column":[156],"marginal-distribution":[158],"artifacts.":[159],"The":[160],"diagnosis":[161],"motivates":[162],"interventions":[163],"strengthen":[165],"routing,":[167],"add":[168],"an":[169],"explicit":[170],"route,":[172],"or":[173],"use":[174],"denser":[175],"fitting;":[177],"under":[178],"lane-specific":[180],"conventions":[182],"used":[183],"here,":[184],"route-directed":[185],"variants":[186],"often":[187],"outperform":[188],"baseline":[191],"but":[192,207],"interact":[193],"non-additively.":[194],"Task-induced":[195],"INR":[196],"are":[198],"classifiable":[199],"because":[201,208],"they":[202],"form":[203],"raw":[204],"clusters,":[206],"their":[209],"signal":[211],"routed":[213],"through":[214],"reader.":[216]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-13T00:00:00"}