{"id":"https://openalex.org/W7162466627","doi":"https://doi.org/10.48550/arxiv.2605.25941","title":"Where Concept Erasure Should Occur: Concept-Layer Alignment in Text-to-Video Diffusion Models","display_name":"Where Concept Erasure Should Occur: Concept-Layer Alignment in Text-to-Video Diffusion Models","publication_year":2026,"publication_date":"2026-05-25","ids":{"openalex":"https://openalex.org/W7162466627","doi":"https://doi.org/10.48550/arxiv.2605.25941"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.25941","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.25941","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,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.25941","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137052842","display_name":"Yiwei Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Yiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136996974","display_name":"Ping Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137073252","display_name":"Zheng Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zheng","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.31779998540878296,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.31779998540878296,"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/T10581","display_name":"Neural dynamics and brain function","score":0.06260000169277191,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.05400000140070915,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.8023999929428101},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5508000254631042},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4860999882221222},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.47839999198913574},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46790000796318054},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.39649999141693115},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.37139999866485596}],"concepts":[{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.8023999929428101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164000034332275},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5508000254631042},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5360000133514404},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4860999882221222},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.47839999198913574},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46790000796318054},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3959999978542328},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.36800000071525574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33799999952316284},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.33230000734329224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3188999891281128},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.3147999942302704},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28690001368522644}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.25941","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.25941","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,"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.25941","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.25941","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,"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"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5889639258384705,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Text-to-video":[0],"diffusion":[1,130],"transformers":[2],"encode":[3],"semantic":[4],"information":[5],"unevenly":[6],"across":[7],"model":[8],"depth,":[9],"which":[10,25],"constrains":[11],"effective":[12],"concept":[13,38,54,81,141],"erasure.":[14,50],"We":[15],"identify":[16],"a":[17,76,116],"representational":[18,33,61],"bottleneck,":[19],"termed":[20],"concept-layer":[21,86],"topological":[22],"alignment,":[23],"under":[24],"target":[26],"concepts":[27],"exhibit":[28],"higher":[29],"separability":[30],"at":[31],"certain":[32],"depths.":[34],"Outside":[35],"these":[36],"depths,":[37],"and":[39],"non-target":[40],"signals":[41],"remain":[42],"strongly":[43],"entangled,":[44],"limiting":[45],"the":[46,57],"effectiveness":[47],"of":[48,59],"depth-specific":[49],"This":[51],"observation":[52],"reframes":[53],"erasure":[55,82],"as":[56,96],"problem":[58,99],"identifying":[60],"depths":[62],"where":[63],"concept-non-target":[64,101,124],"separation":[65],"naturally":[66],"emerges.":[67],"Motivated":[68],"by":[69,92],"this":[70,90],"structural":[71],"constraint,":[72],"we":[73,114],"introduce":[74,115],"CLEAR,":[75],"separability-driven":[77],"optimization":[78,98],"framework":[79],"for":[80],"that":[83,119,133],"explicitly":[84],"enforces":[85],"alignment.":[87],"CLEAR":[88],"operationalizes":[89],"principle":[91],"formulating":[93],"layer":[94],"selection":[95],"an":[97],"over":[100],"separability,":[102],"rather":[103],"than":[104],"relying":[105],"on":[106,127],"layer-agnostic":[107],"or":[108],"heuristic":[109],"choices.":[110],"To":[111],"enable":[112],"this,":[113],"separability-aware":[117],"objective":[118],"favors":[120],"layers":[121],"exhibiting":[122],"stronger":[123],"separation.":[125],"Experiments":[126],"large-scale":[128],"text-to-video":[129],"models":[131],"demonstrate":[132],"enforcing":[134],"concept--layer":[135],"alignment":[136],"leads":[137],"to":[138],"more":[139],"precise":[140],"suppression":[142],"while":[143],"preserving":[144],"overall":[145],"generative":[146],"quality.":[147]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-27T00:00:00"}