{"id":"https://openalex.org/W7168419707","doi":"https://doi.org/10.48550/arxiv.2607.12231","title":"The GEST-Engine: From Event Graphs to Synthetic Video. A Full Technical Report","display_name":"The GEST-Engine: From Event Graphs to Synthetic Video. A Full Technical Report","publication_year":2026,"publication_date":"2026-07-14","ids":{"openalex":"https://openalex.org/W7168419707","doi":"https://doi.org/10.48550/arxiv.2607.12231"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.12231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12231","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2607.12231","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140790859","display_name":"Nicolae Cudlenco","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cudlenco, Nicolae","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140811199","display_name":"Mihai Masala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Masala, Mihai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140761986","display_name":"Marius Leordeanu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leordeanu, Marius","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7426999807357788,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7426999807357788,"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/T12290","display_name":"Human Motion and Animation","score":0.055399999022483826,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.04039999842643738,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.6304000020027161},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.445499986410141},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.3921999931335449},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.37709999084472656},{"id":"https://openalex.org/keywords/execution-model","display_name":"Execution model","score":0.33070001006126404},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.32760000228881836},{"id":"https://openalex.org/keywords/asynchronous-communication","display_name":"Asynchronous communication","score":0.2953000068664551},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.29420000314712524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241000175476074},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6304000020027161},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.5159000158309937},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.445499986410141},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41269999742507935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40560001134872437},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C2776834041","wikidata":"https://www.wikidata.org/wiki/Q25346349","display_name":"Execution model","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C116253237","wikidata":"https://www.wikidata.org/wiki/Q1437424","display_name":"Formal specification","level":2,"score":0.2547999918460846},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.25369998812675476},{"id":"https://openalex.org/C112505250","wikidata":"https://www.wikidata.org/wiki/Q787116","display_name":"Automaton","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.12231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12231","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.12231","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12231","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5018599033355713,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,198],"present":[1],"the":[2,32,40,80,165,233],"GEST-Engine,":[3],"a":[4,29,35,66,84,112,119,135,161,208,212,230],"complete":[5],"system":[6,105,214],"that":[7,215],"goes":[8],"from":[9],"natural-language":[10,190],"text":[11],"to":[12,229],"fully-annotated":[13],"multi-actor":[14,238],"video.":[15],"At":[16],"its":[17,246],"core":[18],"is":[19,127],"an":[20,90,102,108,201],"explicit":[21],"world":[22,41,82,203],"model:":[23],"rather":[24],"than":[25],"encoding":[26],"state":[27,121],"as":[28,65,249],"learned":[30],"latent,":[31],"engine":[33,87,166,234],"maintains":[34],"complete,":[36],"inspectable":[37],"representation":[38],"of":[39,69,83],"(which":[42],"actors":[43],"exist,":[44],"where":[45],"they":[46,49,54],"are,":[47],"what":[48],"are":[50,96],"doing,":[51],"which":[52,107],"objects":[53],"hold,":[55],"and":[56,62,73,76,141,144,156,158,189,211,240,254],"how":[57],"events":[58],"relate":[59],"in":[60,71,106],"time":[61],"space),":[63],"expressed":[64],"formal":[67],"Graph":[68],"Events":[70],"Space":[72],"Time":[74],"(GEST)":[75],"realized":[77],"deterministically":[78],"inside":[79],"open":[81],"commercial":[85],"game":[86],"driven":[88],"through":[89,114],"open-source":[91],"multiplayer":[92],"scripting":[93],"framework.":[94],"GESTs":[95],"produced":[97],"either":[98],"procedurally":[99],"or":[100],"by":[101,118,129,152,243],"agentic":[103],"text-to-GEST":[104],"LLM":[109],"Director":[110],"plans":[111],"story":[113],"tool":[115],"calls":[116],"validated":[117],"programmatic":[120],"backend,":[122],"so":[123],"every":[124,225],"generated":[125],"specification":[126],"executable":[128],"construction.":[130],"A":[131],"GEST":[132],"then":[133],"enters":[134],"four-stage":[136],"execution":[137,157],"pipeline:":[138],"graph":[139],"parsing":[140],"validation,":[142],"entity":[143],"action":[145],"grounding,":[146],"temporal":[147,187,241],"orchestration":[148],"(Allen-style":[149],"constraints":[150],"resolved":[151],"Floyd-Warshall":[153],"transitive":[154],"closure),":[155],"capture.":[159],"In":[160],"single":[162],"simulation":[163],"pass":[164],"emits":[167],"frame-aligned":[168],"RGB":[169],"video,":[170],"dense":[171],"per-pixel":[172],"depth,":[173],"instance":[174],"segmentation,":[175],"per-actor":[176],"skeletal":[177],"pose,":[178],"per-frame":[179],"pairwise":[180],"spatial-relation":[181],"graphs,":[182],"2D":[183],"bounding":[184],"boxes,":[185],"event-to-frame":[186],"mappings,":[188],"descriptions,":[191],"all":[192],"at":[193,218],"zero":[194],"marginal":[195],"annotation":[196],"cost.":[197],"further":[199],"describe":[200],"in-game":[202],"editor,":[204],"runtime":[205],"capability":[206],"extraction,":[207],"text-generation":[209],"pipeline,":[210],"production":[213],"renders":[216],"corpora":[217],"scale":[219],"across":[220],"parallel":[221],"virtual":[222],"machines.":[223],"Because":[224],"frame":[226],"traces":[227],"back":[228],"semantic":[231],"specification,":[232],"guarantees":[235],"object":[236],"permanence,":[237],"coordination,":[239],"consistency":[242],"construction,":[244],"making":[245],"output":[247],"valuable":[248],"training":[250],"data,":[251],"evaluation":[252],"benchmarks,":[253],"diagnostic":[255],"tools":[256],"for":[257],"video":[258],"understanding.":[259]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-16T00:00:00"}
