{"id":"https://openalex.org/W7214917865","doi":"https://doi.org/10.48550/arxiv.2609.37198","title":"V-Engram: Trigger-Indexed External Memory for Modular Text-to-Image Personalization","display_name":"V-Engram: Trigger-Indexed External Memory for Modular Text-to-Image Personalization","publication_year":2026,"publication_date":"2026-09-29","ids":{"openalex":"https://openalex.org/W7214917865","doi":"https://doi.org/10.48550/arxiv.2609.37198"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2609.37198","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.37198","pdf_url":"https://arxiv.org/pdf/2609.37198","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","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2609.37198","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5153600472","display_name":"Haoran He","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Haoran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123334568","display_name":"Runyuan Cai","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Runyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153611905","display_name":"Yiming Wang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yiming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153636905","display_name":"Lin Yu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123329249","display_name":"Xiaodong Zeng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Xiaodong","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":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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":1.0,"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":1.0,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":9.999999747378752e-05,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":9.999999747378752e-05,"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/secondary-storage","display_name":"external memory","score":0.847000002861023},{"id":"https://openalex.org/keywords/composition-control","display_name":"composition control","score":0.6589999794960022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015000224113464},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6819000244140625},{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.5856000185012817},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.5655999779701233},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5638999938964844},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5267000198364258},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5202999711036682},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4634999930858612},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.3962000012397766},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35019999742507935},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.31200000643730164},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C58632812","wikidata":"https://www.wikidata.org/wiki/Q7936625","display_name":"Visual short-term memory","level":4,"score":0.2946000099182129},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C118702147","wikidata":"https://www.wikidata.org/wiki/Q189396","display_name":"Dynamic random-access memory","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C165520287","wikidata":"https://www.wikidata.org/wiki/Q18652","display_name":"Iconic memory","level":5,"score":0.26159998774528503},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2609.37198","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.37198","pdf_url":"https://arxiv.org/pdf/2609.37198","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.2609.37198","doi":"https://doi.org/10.48550/arxiv.2609.37198","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2609.37198","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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2609.37198","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2609.37198","pdf_url":"https://arxiv.org/pdf/2609.37198","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/W7214917865.pdf","grobid_xml":"https://content.openalex.org/works/W7214917865.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7162036657","https://openalex.org/W7160425254","https://openalex.org/W4403289620","https://openalex.org/W7131292312","https://openalex.org/W7133208667","https://openalex.org/W7223124031","https://openalex.org/W7166674372","https://openalex.org/W7117698433","https://openalex.org/W4409366781","https://openalex.org/W7147023472"],"abstract_inverted_index":{"Pretrained":[0],"text-to-image":[1],"models":[2],"contain":[3],"broad":[4],"visual":[5,16,176],"knowledge,":[6],"yet":[7],"they":[8],"cannot":[9],"reliably":[10],"acquire":[11],"or":[12],"refine":[13],"a":[14,20,59,140,170],"specific":[15],"identity":[17],"from":[18,95],"only":[19,131],"few":[21],"references":[22],"while":[23,118,152],"preserving":[24],"compositional":[25],"control.":[26],"Token-embedding":[27],"methods":[28,37],"are":[29,54],"compact":[30],"but":[31],"often":[32],"underfit":[33],"identity,":[34],"whereas":[35],"adapter-based":[36],"improve":[38],"fidelity":[39,117],"through":[40],"persistent":[41],"weight":[42],"updates":[43],"that":[44,75,109],"can":[45],"be":[46],"costly":[47],"to":[48],"store":[49],"and":[50,85,100,149],"interfere":[51],"when":[52],"concepts":[53],"composed.":[55],"We":[56],"introduce":[57],"V-Engram,":[58],"trigger-indexed":[60,167],"external":[61],"memory":[62,94,168],"mechanism":[63],"for":[64,139,173],"Stable":[65],"Diffusion":[66],"3.5.":[67],"Each":[68],"concept":[69],"is":[70],"assigned":[71],"an":[72],"explicit":[73],"trigger":[74],"retrieves":[76,130],"concept-specific":[77],"memory,":[78],"whose":[79],"gated":[80],"directions":[81],"enter":[82],"frozen":[83,159],"text-encoder":[84],"MMDiT":[86],"context":[87],"states":[88],"as":[89,124,169],"relative":[90],"residuals.":[91],"Separating":[92],"this":[93],"backbone":[96],"adaptation":[97],"enables":[98],"prompt-selective":[99],"multi-concept":[101],"access":[102],"without":[103,154,178],"merging":[104],"model":[105],"updates.":[106],"Experiments":[107],"show":[108],"V-Engram":[110],"broadly":[111],"matches":[112],"DreamBooth-LoRA":[113],"in":[114,121],"overall":[115],"subject":[116,126],"showing":[119],"advantages":[120],"settings":[122],"such":[123],"contextual":[125],"preservation.":[127],"Prompt-matched":[128],"loading":[129,138],"matched":[132],"entries,":[133],"reducing":[134],"most":[135],"additional":[136],"adaptation-state":[137],"single-concept":[141],"query.":[142],"Qualitative":[143],"results":[144,165],"further":[145],"demonstrate":[146],"paired-trigger":[147],"composition":[148],"same-class":[150],"separation,":[151],"prompts":[153],"registered":[155],"entries":[156],"retain":[157],"the":[158,180],"model's":[160],"base":[161],"behavior.":[162],"Together,":[163],"these":[164],"establish":[166],"modular":[171],"interface":[172],"adding":[174],"targeted":[175],"evidence":[177],"rewriting":[179],"generator.":[181]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-10-01T00:00:00"}
