{"id":"https://openalex.org/W7165727884","doi":"https://doi.org/10.48550/arxiv.2606.23743","title":"Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation","display_name":"Sol Video Inference Engine: Agent-Native Full-Stack Acceleration Framework for Efficient Video Generation","publication_year":2026,"publication_date":"2026-06-21","ids":{"openalex":"https://openalex.org/W7165727884","doi":"https://doi.org/10.48550/arxiv.2606.23743"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.23743","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23743","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.2606.23743","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139226603","display_name":"Yitong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yitong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139268762","display_name":"Junsong Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Junsong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139295986","display_name":"Haopeng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Haopeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139232880","display_name":"Haozhe Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Haozhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107877612","display_name":"J. Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Jincheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005096654","display_name":"Lei Zhu","orcid":"https://orcid.org/0009-0003-3762-8344"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Ligeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139282703","display_name":"Ping Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Ping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139233209","display_name":"Song Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Song","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139294115","display_name":"Enze Xie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xie, Enze","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/T11165","display_name":"Image and Video Quality Assessment","score":0.4602000117301941,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.4602000117301941,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.1525000035762787,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.052000001072883606,"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/acceleration","display_name":"Acceleration","score":0.7358999848365784},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5713000297546387},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4778999984264374},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4097999930381775},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.40059998631477356},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.3912999927997589},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.3393999934196472},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.32690000534057617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7502999901771545},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7358999848365784},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5713000297546387},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.40059998631477356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39980000257492065},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3659999966621399},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35499998927116394},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.32690000534057617},{"id":"https://openalex.org/C2780236118","wikidata":"https://www.wikidata.org/wiki/Q2916762","display_name":"High-definition video","level":2,"score":0.3050999939441681},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.3019999861717224},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.29660001397132874},{"id":"https://openalex.org/C3913047","wikidata":"https://www.wikidata.org/wiki/Q1956265","display_name":"sync","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.290800005197525},{"id":"https://openalex.org/C2779789524","wikidata":"https://www.wikidata.org/wiki/Q16885149","display_name":"Internet video","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.27889999747276306},{"id":"https://openalex.org/C128840427","wikidata":"https://www.wikidata.org/wiki/Q1302174","display_name":"Motion compensation","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2531999945640564},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.23743","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23743","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.2606.23743","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.23743","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"video":[1,76,116,190,230],"diffusion":[2,117,231],"models":[3,57,191],"achieve":[4],"higher":[5],"generation":[6,182],"quality":[7],"through":[8],"scaling,":[9],"but":[10],"this":[11,186],"also":[12],"increases":[13],"inference":[14,48],"cost.":[15],"Although":[16],"many":[17],"acceleration":[18,31,113,137,173,216],"methods":[19],"have":[20],"been":[21],"proposed,":[22],"a":[23,36,94,143,149,171,176],"central":[24],"challenge":[25],"is":[26,33],"that":[27,38],"the":[28,160,208,223,226],"most":[29],"effective":[30],"strategy":[32],"highly":[34],"instance-specific:":[35],"recipe":[37],"works":[39],"well":[40],"for":[41,115,139,229],"one":[42],"combination":[43],"of":[44,162,225],"model,":[45,150],"hardware,":[46],"and":[47,63,72,75,88,131,153,175,195,201],"configuration":[49],"often":[50],"does":[51],"not":[52],"transfer":[53],"to":[54],"another.":[55],"Different":[56],"vary":[58],"in":[59,70,82],"architecture,":[60],"numerical":[61,86],"sensitivity,":[62],"attention":[64],"concentration":[65],"patterns.":[66],"Inference":[67,107],"settings":[68],"differ":[69,81],"spatial":[71],"temporal":[73],"resolution":[74],"duration,":[77],"while":[78,217],"hardware":[79,151],"platforms":[80],"memory":[83],"hierarchy,":[84],"supported":[85],"formats,":[87],"kernel":[89,132],"throughput.":[90],"These":[91],"factors":[92],"create":[93],"large":[95],"tuning":[96],"space,":[97],"making":[98],"manual":[99],"performance":[100],"engineering":[101],"costly.":[102],"We":[103,184],"present":[104],"Sol":[105],"Video":[106],"Engine,":[108],"an":[109,135,165],"agentic,":[110],"native,":[111],"training-free":[112],"framework":[114,228],"models.":[118],"It":[119],"organizes":[120],"five":[121],"broadly":[122],"applicable":[123],"techniques,":[124],"cache,":[125],"sparse":[126],"attention,":[127],"token":[128],"pruning,":[129],"quantization,":[130],"fusion,":[133],"into":[134,170],"agentic":[136],"stack":[138,210],"instance-specific":[140],"optimization.":[141],"For":[142],"concrete":[144],"deployment":[145],"target":[146],"defined":[147],"by":[148],"platform,":[152],"serving":[154],"configuration,":[155],"parallel":[156],"skill":[157],"agents":[158],"optimize":[159],"implementation":[161],"each":[163],"technique,":[164],"agent":[166,227],"integrator":[167],"composes":[168],"them":[169],"global":[172],"stack,":[174],"human":[177,206],"validator":[178],"provides":[179],"feedback":[180],"on":[181,188],"quality.":[183],"instantiate":[185],"workflow":[187],"three":[189],"with":[192],"different":[193],"sizes":[194],"architectures:":[196],"64B":[197],"Cosmos3-Super,":[198],"22B":[199],"LTX-2.3,":[200],"2B":[202],"SANA-Video.":[203],"With":[204],"little":[205],"effort,":[207],"full":[209],"achieves":[211],"more":[212],"than":[213],"2x":[214],"end-to-end":[215],"maintaining":[218],"near-lossless":[219],"VBench":[220],"quality,":[221],"demonstrating":[222],"effectiveness":[224],"acceleration.":[232]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-25T00:00:00"}