{"id":"https://openalex.org/W7169586622","doi":"https://doi.org/10.48550/arxiv.2607.15272","title":"SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions","display_name":"SciDiagramEdit: Learning to Edit Scientific Diagrams from Paper Revisions","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W7169586622","doi":"https://doi.org/10.48550/arxiv.2607.15272"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.15272","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.15272","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2607.15272","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082635465","display_name":"Yasheng Sun","orcid":"https://orcid.org/0000-0002-0589-4424"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yasheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141087525","display_name":"Zezi Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Zezi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141081441","display_name":"Yifan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yifan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141110957","display_name":"Chong Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Chong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141105400","display_name":"Wenyi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5141101429","display_name":"Ziwei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ziwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128424967","display_name":"J\u00fcrgen Schmidhuber","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schmidhuber, J\u00fcrgen","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/T10799","display_name":"Data Visualization and Analytics","score":0.2856000065803528,"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/T10799","display_name":"Data Visualization and Analytics","score":0.2856000065803528,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.20679999887943268,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.08269999921321869,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.669700026512146},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5200999975204468},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.46399998664855957},{"id":"https://openalex.org/keywords/grammar","display_name":"Grammar","score":0.436599999666214},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.43650001287460327},{"id":"https://openalex.org/keywords/infographic","display_name":"Infographic","score":0.38499999046325684},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.34220001101493835},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.33239999413490295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027999997138977},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.669700026512146},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49079999327659607},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44609999656677246},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4374000132083893},{"id":"https://openalex.org/C26022165","wikidata":"https://www.wikidata.org/wiki/Q8091","display_name":"Grammar","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C156365220","wikidata":"https://www.wikidata.org/wiki/Q845734","display_name":"Infographic","level":2,"score":0.38499999046325684},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3553999960422516},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.34220001101493835},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.3172999918460846},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.30489999055862427},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.2922999858856201},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C55508974","wikidata":"https://www.wikidata.org/wiki/Q190763","display_name":"Venn diagram","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C2780967703","wikidata":"https://www.wikidata.org/wiki/Q2571389","display_name":"Collaborative editing","level":2,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.15272","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.15272","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2607.15272","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.15272","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[{"score":0.8778559565544128,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Editing":[0],"the":[1,94,108,123,130,147],"figures":[2],"in":[3,49,122],"a":[4,8,35,42,46,65,71,80,165],"research":[5,15],"paper":[6,89,173],"is":[7,39,45],"routine":[9],"and":[10,22,60,82,91,103],"time-consuming":[11],"part":[12],"of":[13,132],"everyday":[14],"practice:":[16],"authors":[17],"relabel":[18],"components,":[19],"rearrange":[20],"panels,":[21],"restyle":[23],"visuals":[24],"as":[25,55],"they":[26],"revise":[27],"their":[28],"manuscripts.":[29],"Automating":[30],"this":[31],"editing":[32,133],"workflow":[33],"under":[34,64],"natural-language":[36],"instruction,":[37],"however,":[38],"challenging,":[40],"because":[41],"scientific":[43],"figure":[44,114,182],"dense":[47],"infographic":[48],"which":[50],"heterogeneous":[51],"visual":[52,67],"elements":[53],"such":[54],"schematics,":[56],"plots,":[57],"photos,":[58],"captions,":[59],"arrows":[61],"are":[62,175],"composed":[63],"tight":[66],"grammar":[68],"to":[69],"advance":[70],"specific":[72],"argument.":[73],"To":[74,128],"address":[75],"this,":[76],"we":[77,135],"present":[78],"SciDiagramEdit,":[79],"benchmark":[81,111],"skill-evolution":[83],"framework":[84],"that":[85,171],"learns":[86],"from":[87,116,151],"natural":[88,172],"revisions":[90,174],"operates":[92],"on":[93,164],"figure's":[95],"editable":[96],"vector":[97],"source,":[98],"where":[99],"users":[100],"can":[101],"inspect":[102],"co-edit":[104],"individual":[105],"primitives":[106],"alongside":[107],"agent.":[109],"Our":[110],"mines":[112],"before/after":[113],"pairs":[115],"arXiv":[117],"version":[118],"histories,":[119],"each":[120],"grounded":[121],"authors'":[124],"own":[125],"revision":[126],"intent.":[127],"accommodate":[129],"diversity":[131],"instructions,":[134],"adopt":[136],"agentic":[137,143],"learning":[138],"via":[139],"skill":[140,149,159],"evolution:":[141],"an":[142,176],"proposer":[144],"continually":[145],"refines":[146],"agent's":[148],"specification":[150],"execution":[152],"traces":[153],"over":[154],"multiple":[155],"epochs.":[156],"The":[157],"resulting":[158],"progressively":[160],"lifts":[161],"edit":[162],"accuracy":[163],"held-out":[166],"validation":[167],"set,":[168],"providing":[169],"evidence":[170],"effective":[177],"training":[178],"signal":[179],"for":[180],"instruction-driven":[181],"editing.":[183]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-18T00:00:00"}
