{"id":"https://openalex.org/W7129711912","doi":"https://doi.org/10.48550/arxiv.2602.14482","title":"TikArt: Stabilizing Aperture-Guided Fine-Grained Visual Reasoning with Reinforcement Learning","display_name":"TikArt: Stabilizing Aperture-Guided Fine-Grained Visual Reasoning with Reinforcement Learning","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129711912","doi":"https://doi.org/10.48550/arxiv.2602.14482"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.14482","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","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":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126254230","display_name":"Hao Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ding, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126245877","display_name":"Zhichuan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zhichuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126199588","display_name":"Weijie Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Weijie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126261662","display_name":"Ziqin Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Ziqin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077212970","display_name":"Chaoyi Lu","orcid":"https://orcid.org/0009-0007-9484-5838"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Chaoyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126243995","display_name":"Lei Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.9635000228881836,"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":0.9635000228881836,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.006000000052154064,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.004600000102072954,"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/task","display_name":"Task (project management)","score":0.621999979019165},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.5382999777793884},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5127999782562256},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5008999705314636},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4885999858379364},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4343999922275543},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3458000123500824},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.31949999928474426}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6931999921798706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545000076293945},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.621999979019165},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.5382999777793884},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5008999705314636},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4602000117301941},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3458000123500824},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C2779321571","wikidata":"https://www.wikidata.org/wiki/Q7936605","display_name":"Visual learning","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C78336883","wikidata":"https://www.wikidata.org/wiki/Q4779385","display_name":"Aperture (computer memory)","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.30480000376701355},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.28870001435279846},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C111370547","wikidata":"https://www.wikidata.org/wiki/Q7451120","display_name":"Sensory cue","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26910001039505005},{"id":"https://openalex.org/C193611912","wikidata":"https://www.wikidata.org/wiki/Q4677596","display_name":"Active vision","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.14482","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.14482","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.14482","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.14482","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.44746091961860657,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Fine-grained":[0],"visual":[1,173],"reasoning":[2,41,59,174],"in":[3,20],"multimodal":[4,40,153],"large":[5],"language":[6,58],"models":[7],"(MLLMs)":[8],"is":[9,110],"bottlenecked":[10],"by":[11,135],"single-pass":[12],"global":[13],"image":[14],"encoding:":[15],"key":[16],"evidence":[17,44,94],"often":[18],"lies":[19],"tiny":[21],"objects,":[22],"cluttered":[23],"regions,":[24],"subtle":[25],"markings,":[26],"or":[27],"dense":[28,132],"charts.":[29],"We":[30],"present":[31],"\\textbf{TikArt}":[32],"(\\textbf{T}h\\textbf{i}n\\textbf{k}ing":[33],"\\textbf{A}pe\\textbf{rt}ure),":[34],"an":[35,73],"aperture-guided":[36,169],"agent":[37],"that":[38,56,139,168],"formulates":[39],"as":[42],"sequential":[43],"acquisition":[45],"over":[46,164],"regions":[47],"of":[48],"interest.":[49],"TikArt":[50,109],"follows":[51],"a":[52,117,131,136],"Think--Aperture--Observe":[53],"(TAO)":[54],"loop":[55],"interleaves":[57],"with":[60,112],"two":[61],"aperture":[62,90,100],"actions:":[63],"Zoom,":[64],"which":[65,71],"extracts":[66],"rectangular":[67],"crops,":[68],"and":[69,102,143,155,158,175],"Segment,":[70],"invokes":[72],"off-the-shelf":[74],"segmenter":[75],"to":[76,178],"produce":[77],"object-centric":[78],"mask-based":[79],"views":[80],"for":[81],"irregular":[82],"targets.":[83],"A":[84],"mandatory":[85],"Observation":[86],"step":[87],"after":[88],"every":[89],"action":[91],"writes":[92],"local":[93],"back":[95],"into":[96],"text,":[97],"yielding":[98],"interpretable":[99],"trajectories":[101,142],"persistent":[103],"linguistic":[104],"memory.":[105],"Built":[106],"on":[107,149],"Qwen3-VL-8B,":[108],"trained":[111],"GRPO-style":[113],"reinforcement":[114],"learning":[115],"under":[116],"two-stage":[118],"curriculum.":[119],"To":[120],"stabilize":[121],"long-horizon":[122],"tool-integrated":[123],"learning,":[124],"we":[125],"introduce":[126],"Relative":[127],"Uncertainty":[128],"Reduction":[129],"(RUR),":[130],"reward":[133],"computed":[134],"frozen":[137],"evaluator":[138],"favors":[140],"evidence-building":[141],"mitigates":[144],"degenerate":[145],"tool":[146],"use.":[147],"Experiments":[148],"high-resolution":[150],"reasoning,":[151],"general":[152],"understanding,":[154],"both":[156],"referring":[157],"reasoning-oriented":[159],"segmentation":[160],"show":[161],"consistent":[162],"gains":[163],"the":[165],"backbone,":[166],"demonstrating":[167],"observation":[170],"improves":[171],"fine-grained":[172],"transfers":[176],"naturally":[177],"pixel-level":[179],"grounding.":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-02-18T00:00:00"}