{"id":"https://openalex.org/W7161689561","doi":"https://doi.org/10.48550/arxiv.2605.16981","title":"Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction","display_name":"Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7161689561","doi":"https://doi.org/10.48550/arxiv.2605.16981"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16981","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16981","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":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.2605.16981","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136494091","display_name":"Kejun Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Kejun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136495948","display_name":"Lei Jin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136490876","display_name":"Tianxin Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Tianxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052560055","display_name":"Lianming Xu","orcid":"https://orcid.org/0009-0006-9142-8863"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Lianming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136498690","display_name":"Li Wang","orcid":"https://orcid.org/0009-0004-2749-4319"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Li","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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.2858000099658966,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.2858000099658966,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.25839999318122864,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.08320000022649765,"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/state","display_name":"State (computer science)","score":0.6431000232696533},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5845999717712402},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5792999863624573},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5482000112533569},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.4903999865055084},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.37720000743865967},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.37700000405311584},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.37529999017715454}],"concepts":[{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.6431000232696533},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5845999717712402},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5792999863624573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5694000124931335},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414000153541565},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.4903999865055084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4862000048160553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48339998722076416},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.37720000743865967},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C44000306","wikidata":"https://www.wikidata.org/wiki/Q244330","display_name":"Hinge","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3303999900817871},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2987000048160553},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.2944999933242798},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.28369998931884766},{"id":"https://openalex.org/C110521144","wikidata":"https://www.wikidata.org/wiki/Q193460","display_name":"Scalar field","level":2,"score":0.27810001373291016}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16981","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16981","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":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.2605.16981","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16981","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":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":{"Streaming":[0],"3D":[1,163],"reconstruction":[2,164],"under":[3],"a":[4,30,73,112,131],"strict":[5],"constant-memory":[6],"budget":[7],"hinges":[8],"on":[9,178,187,192],"how":[10],"the":[11,17,33,63,83,88,100],"recurrent":[12],"state":[13,58],"is":[14,35],"updated":[15],"as":[16,62,105],"stream":[18],"evolves.":[19],"We":[20,69,107],"profile":[21],"TTT3R-style":[22],"per-token":[23],"gates":[24],"across":[25],"five":[26],"benchmarks":[27,156],"and":[28,45,138,149,162,191,200],"discover":[29],"structural":[31,64],"bottleneck:":[32],"gate":[34,115,173],"intrinsically":[36],"bounded":[37],"in":[38,121],"magnitude":[39],"(median":[40],"$0.31$;":[41],"never":[42],"exceeding":[43],"$0.6$)":[44],"nearly":[46],"frame-invariant,":[47],"yielding":[48],"an":[49],"effective":[50],"memory":[51,206],"horizon":[52],"of":[53,66,92,127,134],"only":[54,81],"$\\sim$3":[55],"frames":[56],"per":[57],"token,":[59],"which":[60],"serves":[61],"origin":[65],"long-sequence":[67,194],"drift.":[68],"trace":[70],"this":[71,109],"to":[72,99,169],"missing":[74],"axis:":[75],"existing":[76],"inference-time":[77],"methods":[78],"modulate":[79],"updates":[80],"at":[82,165,207],"per-token,":[84],"intra-frame":[85],"level,":[86],"while":[87,202],"orthogonal":[89],"frame-level":[90,114],"question":[91],"\\emph{how":[93],"strongly":[94],"each":[95],"frame":[96],"should":[97],"contribute":[98],"state}":[101],"has":[102],"been":[103],"treated":[104],"content-independent.":[106],"close":[108],"gap":[110],"with":[111],"scalar":[113],"$\u03b1_t":[116],"\\in":[117],"(0,":[118],"1]$":[119],"derived":[120],"closed":[122],"form":[123],"from":[124],"frame-to-frame":[125],"changes":[126],"internal":[128],"features":[129],"--":[130],"continuous":[132],"relaxation":[133],"classical":[135],"Simultaneous":[136],"Localization":[137],"Mapping":[139],"(SLAM)":[140],"keyframe":[141],"selection":[142],"that":[143],"requires":[144],"no":[145,147,150],"parameters,":[146],"training,":[148],"extra":[151],"forward":[152],"pass.":[153],"Across":[154],"six":[155],"spanning":[157],"camera":[158],"pose,":[159],"video":[160,189],"depth,":[161,190],"sequence":[166],"lengths":[167],"up":[168],"$4,541$":[170],"frames,":[171],"our":[172],"cuts":[174],"ATE":[175],"by":[176,185],"$51\\%$":[177],"long":[179],"TUM-RGBD":[180],"pose":[181,195],"sequences,":[182],"reduces":[183],"AbsRel":[184],"$12.8\\%$":[186],"Bonn":[188],"KITTI":[193],"estimation":[196],"surpasses":[197],"both":[198],"LongStream":[199],"Keyframe-VO,":[201],"retaining":[203],"strictly":[204],"constant":[205],"zero":[208],"training":[209],"cost.":[210]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}
