{"id":"https://openalex.org/W7162291689","doi":"https://doi.org/10.48550/arxiv.2605.23889","title":"HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction","display_name":"HorizonStream: Long-Horizon Attention for Streaming 3D Reconstruction","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162291689","doi":"https://doi.org/10.48550/arxiv.2605.23889"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23889","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23889","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.2605.23889","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136977936","display_name":"Chong Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Chong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136960904","display_name":"Peilin Tao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao, Peilin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102674783","display_name":"Nanjie Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Nanjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136967341","display_name":"Guanzhi Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Guanzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126153639","display_name":"Xianda Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xianda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043334594","display_name":"Yuansen Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Yuansen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136943386","display_name":"Xiaoyang Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Xiaoyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136954037","display_name":"Wei Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136959129","display_name":"Weiqiang Ren","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ren, Weiqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136939679","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-9784-5787"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113976720","display_name":"Zhengqing Chen","orcid":"https://orcid.org/0000-0001-6150-2563"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Zhengqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136949926","display_name":"Hao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.41940000653266907,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.41940000653266907,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.15459999442100525,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.11999999731779099,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4839000105857849},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.4814000129699707},{"id":"https://openalex.org/keywords/geometric-data-analysis","display_name":"Geometric data analysis","score":0.47839999198913574},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.4681999981403351},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3677999973297119},{"id":"https://openalex.org/keywords/transformation-geometry","display_name":"Transformation geometry","score":0.36320000886917114},{"id":"https://openalex.org/keywords/geometric-primitive","display_name":"Geometric primitive","score":0.3411000072956085},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.3260999917984009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664000153541565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5781000256538391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5220999717712402},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4839000105857849},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C136520226","wikidata":"https://www.wikidata.org/wiki/Q302814","display_name":"Geometric data analysis","level":2,"score":0.47839999198913574},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.4681999981403351},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4090000092983246},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C56435381","wikidata":"https://www.wikidata.org/wiki/Q1196371","display_name":"Geometric transformation","level":3,"score":0.2980000078678131},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.29600000381469727},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2874000072479248},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.2540999948978424},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23889","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23889","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.2605.23889","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23889","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7455058097839355}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"3D":[1,137,185],"reconstruction":[2,186],"requires":[3],"estimating":[4],"camera":[5],"pose":[6,152],"and":[7,13,57,71,77,93,150,179],"scene":[8],"geometry":[9,37],"under":[10],"strict":[11],"causal":[12,72],"bounded-memory":[14],"constraints.":[15],"Existing":[16],"methods":[17],"often":[18],"suffer":[19],"from":[20,45,154],"drift,":[21],"jitter,":[22],"or":[23],"collapse":[24],"on":[25,165],"long":[26],"sequences.":[27],"We":[28],"trace":[29],"these":[30],"failures":[31],"to":[32,48,116,171],"a":[33,96],"fundamental":[34],"mismatch.":[35],"Streaming":[36],"is":[38],"inherently":[39],"temporally":[40],"heterogeneous,":[41],"with":[42,132,176],"evidence":[43],"ranging":[44],"short-lived":[46],"correspondences":[47],"persistent":[49,156],"global":[50],"scale.":[51],"However,":[52],"current":[53],"architectures":[54],"impose":[55],"uniform":[56],"pathological":[58],"influence":[59,91],"patterns.":[60],"For":[61,104,124],"example,":[62],"sliding":[63],"windows":[64],"enforce":[65],"hard":[66],"cutoffs,":[67],"while":[68,139],"ungated":[69],"recurrence":[70],"attention":[73,79,141],"cause":[74],"cache":[75],"saturation":[76],"spike-like":[78],"sinks.":[80,142],"To":[81],"resolve":[82],"this,":[83],"we":[84],"formalize":[85],"geometric":[86,122,157],"propagation":[87,120],"as":[88],"an":[89],"\\emph{evidence":[90],"kernel}":[92],"propose":[94],"HorizonStream,":[95,163],"long-horizon":[97],"Transformer":[98],"that":[99,162],"explicitly":[100],"factorizes":[101],"this":[102],"kernel.":[103],"the":[105,125,155],"long-range":[106],"temporal":[107],"factor,":[108,128],"Geometric":[109,129],"Linear":[110],"Attention":[111,131],"learns":[112],"channel-wise":[113],"decay":[114],"rates":[115],"enable":[117],"bounded,":[118],"multi-timescale":[119],"of":[121],"evidence.":[123],"short-range":[126],"spatial":[127],"Local":[130],"Spatiotemporal":[133],"RoPE":[134],"performs":[135],"reliable":[136],"matching":[138],"suppressing":[140],"Finally,":[143],"Metric":[144],"Readout":[145],"Tokens":[146],"recover":[147],"stable":[148],"scale":[149],"rigid":[151],"directly":[153],"state.":[158],"Extensive":[159],"experiments":[160],"show":[161],"trained":[164],"only":[166],"48-frame":[167],"clips,":[168],"generalizes":[169],"stably":[170],"sequences":[172],"exceeding":[173],"10,000\\":[174],"frames":[175],"constant":[177],"memory":[178],"linear":[180],"time,":[181],"achieving":[182],"state-of-the-art":[183],"streaming":[184],"performance.":[187],"Project":[188],"Page:":[189],"https://3dagentworld.github.io/horizonstream/":[190]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-26T00:00:00"}
