{"id":"https://openalex.org/W7148635397","doi":"https://doi.org/10.48550/arxiv.2604.01535","title":"Read More, Think More: Revisiting Observation Reduction for Web Agents","display_name":"Read More, Think More: Revisiting Observation Reduction for Web Agents","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148635397","doi":"https://doi.org/10.48550/arxiv.2604.01535"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01535","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01535","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.2604.01535","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081798715","display_name":"Masafumi Enomoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Enomoto, Masafumi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132906076","display_name":"Ryoma Obara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Obara, Ryoma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132846971","display_name":"Haochen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Haochen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5044722101","display_name":"Masafumi Oyamada","orcid":"https://orcid.org/0000-0002-4045-7350"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oyamada, Masafumi","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":1,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.5008999705314636,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.5008999705314636,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.08290000259876251,"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/T12481","display_name":"Digital Accessibility for Disabilities","score":0.040800001472234726,"subfield":{"id":"https://openalex.org/subfields/3307","display_name":"Human Factors and Ergonomics"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.7293000221252441},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6604999899864197},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.620199978351593},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4819999933242798},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.46630001068115234},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.41530001163482666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597000002861023},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.7293000221252441},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6604999899864197},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.620199978351593},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4819999933242798},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.46630001068115234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4611000120639801},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.41530001163482666},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3919000029563904},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3677999973297119},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32179999351501465},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.2888999879360199},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26649999618530273},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01535","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01535","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.2604.01535","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01535","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Web":[0],"agents":[1],"based":[2,161],"on":[3,9,64,150,162],"large":[4],"language":[5],"models":[6,107,119,138],"(LLMs)":[7],"rely":[8],"observations":[10,73,83],"of":[11,37,98],"web":[12],"pages":[13],"--":[14,19],"commonly":[15],"represented":[16],"as":[17,20,39,48],"HTML":[18,38,112],"the":[21,35,59,96],"basis":[22],"for":[23,78,87,113],"identifying":[24],"available":[25],"actions":[26],"and":[27,44,56,67,139,141,165,169],"planning":[28],"subsequent":[29],"steps.":[30],"Prior":[31],"work":[32],"has":[33],"treated":[34],"verbosity":[36],"an":[40],"obstacle":[41],"to":[42],"performance":[43,135],"adopted":[45],"observation":[46,61,132,159,171],"reduction":[47],"a":[49,142,146],"standard":[50],"practice.":[51],"We":[52,127],"revisit":[53],"this":[54],"trend":[55],"demonstrate":[57],"that":[58,105,130],"optimal":[60],"representation":[62,144],"depends":[63],"model":[65,163],"capability":[66,164],"thinking":[68,92,166],"token":[69,167],"budget:":[70],"(1)":[71],"compact":[72],"(accessibility":[74],"trees)":[75],"are":[76,85],"preferable":[77],"lower-capability":[79,118],"models,":[80],"while":[81,117],"detailed":[82],"(HTML)":[84],"advantageous":[86],"higher-capability":[88,106],"models;":[89],"moreover,":[90],"increasing":[91],"tokens":[93],"further":[94],"amplifies":[95],"benefit":[97],"HTML.":[99],"(2)":[100],"Our":[101],"error":[102],"analysis":[103],"suggests":[104],"exploit":[108],"layout":[109],"information":[110],"in":[111],"better":[114],"action":[115],"grounding,":[116],"suffer":[120],"from":[121],"increased":[122],"hallucination":[123],"under":[124],"longer":[125],"inputs.":[126],"also":[128],"find":[129],"incorporating":[131],"history":[133,172],"improves":[134],"across":[136],"most":[137],"settings,":[140],"diff-based":[143,174],"offers":[145],"token-efficient":[147],"alternative.":[148],"Based":[149],"these":[151],"findings,":[152],"we":[153],"suggest":[154],"practical":[155],"guidelines:":[156],"adaptively":[157],"select":[158],"representations":[160],"budget,":[168],"incorporate":[170],"using":[173],"representations.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-04T00:00:00"}
