{"id":"https://openalex.org/W7166203163","doi":"https://doi.org/10.48550/arxiv.2606.26631","title":"Position Rebinding Cache Reuse: Replay-Free Visual Revisiting for Interleaved Multimodal Reasoning","display_name":"Position Rebinding Cache Reuse: Replay-Free Visual Revisiting for Interleaved Multimodal Reasoning","publication_year":2026,"publication_date":"2026-06-25","ids":{"openalex":"https://openalex.org/W7166203163","doi":"https://doi.org/10.48550/arxiv.2606.26631"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.26631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26631","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.2606.26631","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139440930","display_name":"Mengzhao Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Mengzhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068950059","display_name":"Yanli Ji","orcid":"https://orcid.org/0000-0001-9122-6141"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Yanli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139410915","display_name":"Wangmeng Zuo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zuo, Wangmeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139448432","display_name":"Peng Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5114173608","display_name":"Chongjun Tu","orcid":"https://orcid.org/0009-0003-7405-2022"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tu, Chongjun","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":0.978600025177002,"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":0.978600025177002,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0026000000070780516,"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/T10799","display_name":"Data Visualization and Analytics","score":0.002300000051036477,"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/cache","display_name":"Cache","score":0.7724000215530396},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5950000286102295},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5741999745368958},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.38960000872612},{"id":"https://openalex.org/keywords/cache-algorithms","display_name":"Cache algorithms","score":0.37439998984336853},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.3402999937534332},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.3400000035762787},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3246999979019165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8331000208854675},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7724000215530396},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5950000286102295},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5741999745368958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828000068664551},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.37439998984336853},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3158000111579895},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.31360000371932983},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27399998903274536},{"id":"https://openalex.org/C2780103172","wikidata":"https://www.wikidata.org/wiki/Q1309721","display_name":"Visual Objects","level":3,"score":0.27399998903274536},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.2547000050544739},{"id":"https://openalex.org/C2779151265","wikidata":"https://www.wikidata.org/wiki/Q1156791","display_name":"Copying","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.26631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26631","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.2606.26631","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26631","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":{"Interleaved":[0],"multimodal":[1,172],"reasoning":[2,173],"improves":[3],"visual":[4,8,24,34,50,86,119,124,158,167],"grounding":[5],"by":[6,186,193],"revisiting":[7],"evidence":[9,87,159],"during":[10],"multi-step":[11],"generation,":[12],"yet":[13],"existing":[14],"methods":[15],"typically":[16],"rely":[17],"on":[18],"token":[19],"replay,":[20],"repeatedly":[21],"forwarding":[22],"selected":[23],"tokens.":[25],"A":[26],"natural":[27],"shortcut":[28],"is":[29],"to":[30,55,137,195],"reuse":[31,83],"the":[32,92,146,150],"historical":[33,101,157],"key-value":[35],"(KV)":[36],"cache":[37,82,102,126,148],"directly.":[38],"However,":[39],"we":[40,107],"identify":[41],"a":[42,114],"critical":[43],"failure":[44,78],"mode":[45],"of":[46,197,199],"this":[47,105],"strategy:":[48],"cached":[49],"keys":[51,143],"are":[52],"already":[53],"bound":[54],"their":[56,129,142],"original":[57,130],"positional":[58,62,163],"context.":[59],"Such":[60],"stale":[61],"binding":[63],"distorts":[64],"attention":[65],"under":[66,88],"later":[67],"decoding":[68,75,94],"contexts":[69],"and":[70,140,165,189],"can":[71],"trigger":[72],"severe":[73],"autoregressive":[74],"collapse.":[76],"This":[77,154],"suggests":[79],"that":[80,176],"effective":[81],"requires":[84],"reconstructing":[85],"positions":[89],"compatible":[90],"with":[91,128],"current":[93],"state,":[95],"rather":[96],"than":[97],"directly":[98],"copying":[99],"position-bound":[100],"entries.":[103],"To":[104],"end,":[106],"propose":[108],"Position":[109],"Rebinding":[110],"Cache":[111],"Reuse":[112],"(PRCR),":[113],"cache-level":[115],"framework":[116],"for":[117],"replay-free":[118],"revisiting.":[120],"PRCR":[121,177],"stores":[122],"raw":[123],"KV":[125],"together":[127],"spatial":[131],"coordinates,":[132],"then":[133],"reassigns":[134],"position-compatible":[135],"coordinates":[136],"select":[138],"entries":[139],"rebinds":[141],"before":[144],"injecting":[145],"reconstructed":[147],"into":[149],"active":[151],"decoder":[152],"cache.":[153],"design":[155],"reuses":[156],"while":[160],"preserving":[161],"textual":[162],"continuity":[164],"relative":[166],"structure.":[168],"Experiments":[169],"across":[170],"multiple":[171],"benchmarks":[174],"show":[175],"achieves":[178],"replay-level":[179],"or":[180],"better":[181],"performance,":[182],"improving":[183],"average":[184],"accuracy":[185],"5":[187],"percent":[188],"reducing":[190],"visual-revisiting":[191],"computation":[192],"up":[194],"tens":[196],"thousands":[198],"times.":[200]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-27T00:00:00"}
