{"id":"https://openalex.org/W7160280130","doi":"https://doi.org/10.48550/arxiv.2605.02106","title":"The Dynamic Gist-Based Memory Model (DGMM): A Memory-Centric Architecture for Artificial Intelligence","display_name":"The Dynamic Gist-Based Memory Model (DGMM): A Memory-Centric Architecture for Artificial Intelligence","publication_year":2026,"publication_date":"2026-05-04","ids":{"openalex":"https://openalex.org/W7160280130","doi":"https://doi.org/10.48550/arxiv.2605.02106"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.02106","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02106","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.2605.02106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022702648","display_name":"Terry Dorsey","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dorsey, Terry","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5006996939","display_name":"K. E. Huggins","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huggins, Kevin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022702648"],"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/T13062","display_name":"Cognitive Computing and Networks","score":0.1396999955177307,"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"}},"topics":[{"id":"https://openalex.org/T13062","display_name":"Cognitive Computing and Networks","score":0.1396999955177307,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.10450000315904617,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.10209999978542328,"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/architecture","display_name":"Architecture","score":0.4864000082015991},{"id":"https://openalex.org/keywords/memory-model","display_name":"Memory model","score":0.4860000014305115},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.48100000619888306},{"id":"https://openalex.org/keywords/artificial-general-intelligence","display_name":"Artificial general intelligence","score":0.4733999967575073},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.4180000126361847},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.4025999903678894},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.35420000553131104},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3497999906539917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746999979019165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5929999947547913},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C12186640","wikidata":"https://www.wikidata.org/wiki/Q6815743","display_name":"Memory model","level":3,"score":0.4860000014305115},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.48100000619888306},{"id":"https://openalex.org/C162027153","wikidata":"https://www.wikidata.org/wiki/Q2264109","display_name":"Artificial general intelligence","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.32820001244544983},{"id":"https://openalex.org/C88576662","wikidata":"https://www.wikidata.org/wiki/Q18646","display_name":"Episodic memory","level":3,"score":0.3255999982357025},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.31850001215934753},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27559998631477356},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C13606891","wikidata":"https://www.wikidata.org/wiki/Q2623243","display_name":"Conceptual model","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2779602883","wikidata":"https://www.wikidata.org/wiki/Q15544750","display_name":"Memory architecture","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25119999051094055},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.02106","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02106","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.2605.02106","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.02106","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Contemporary":[0],"artificial":[1,71],"intelligence":[2,72],"systems":[3],"achieve":[4],"strong":[5],"performance":[6],"through":[7],"large-scale":[8],"parameterization,":[9],"retrieval":[10],"augmentation,":[11],"and":[12,32,57,79,86,137,140,155,165,181,201,208,212],"training":[13],"on":[14,161],"extensive":[15],"static":[16],"corpora.":[17],"Despite":[18],"these":[19],"advances,":[20],"they":[21],"continue":[22],"to":[23,54,81,92],"face":[24],"limitations":[25],"in":[26,39,48,73,115,134,196],"persistent":[27],"memory,":[28],"temporal":[29,83],"grounding,":[30,84],"provenance,":[31,85],"interpretability.":[33,87],"These":[34],"challenges":[35],"are":[36,158],"especially":[37],"pronounced":[38],"large":[40],"language":[41],"models,":[42],"where":[43],"experience":[44,75,117,128],"is":[45,76,118,199],"encoded":[46],"implicitly":[47],"fixed":[49],"parameters,":[50],"limiting":[51],"the":[52,107,146],"ability":[53],"preserve,":[55],"inspect,":[56],"reinterpret":[58],"past":[59],"interactions":[60],"over":[61],"time.":[62],"This":[63],"paper":[64],"establishes":[65],"a":[66,99,192],"memory-centric":[67],"architectural":[68,156,194],"foundation":[69],"for":[70,103,148],"which":[74,116,197],"represented":[77,119],"explicitly":[78],"persistently":[80],"support":[82],"It":[88],"proposes":[89],"an":[90,113,121],"alternative":[91],"parameter-centric":[93],"approaches":[94],"by":[95],"treating":[96],"memory":[97,163,198],"as":[98,120,129,145],"first-class,":[100],"structured":[101],"substrate":[102],"reasoning.":[104],"We":[105],"introduce":[106],"Dynamic":[108],"Gist-Based":[109],"Memory":[110],"Model":[111],"(DGMM),":[112],"architecture":[114],"evolving,":[122],"graph-structured":[123],"episodic-semantic":[124],"memory.":[125,151,189],"DGMM":[126,190],"encodes":[127],"interconnected":[130],"conceptual":[131],"structures":[132],"grounded":[133,214],"time,":[135],"source,":[136],"interaction":[138],"context,":[139],"defines":[141],"selective,":[142],"cue-conditioned":[143,179],"recall":[144],"mechanism":[147],"constructing":[149],"working":[150],"A":[152],"formal":[153],"schema":[154],"invariants":[157],"provided":[159],"based":[160],"additive":[162],"growth":[164],"recall-conditioned":[166],"interpretation.":[167],"The":[168],"results":[169],"specify":[170],"properties":[171],"of":[172,178,187],"DGMM,":[173],"including":[174],"episodic":[175],"persistence,":[176],"locality":[177],"surprise,":[180],"contextual":[182],"variability":[183],"without":[184,206],"structural":[185],"modification":[186],"stored":[188],"provides":[191],"coherent":[193],"theory":[195],"explicit":[200],"persistent,":[202],"supporting":[203],"evolving":[204],"interpretation":[205],"retraining":[207],"enabling":[209],"interpretable,":[210],"context-aware,":[211],"temporally":[213],"AI":[215],"systems.":[216]},"counts_by_year":[],"updated_date":"2026-05-06T06:10:43.113611","created_date":"2026-05-06T00:00:00"}
