{"id":"https://openalex.org/W7153181855","doi":"https://doi.org/10.48550/arxiv.2604.08501","title":"sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing","display_name":"sciwrite-lint: Verification Infrastructure for the Age of Science Vibe-Writing","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153181855","doi":"https://doi.org/10.48550/arxiv.2604.08501"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.08501","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08501","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.08501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133392382","display_name":"Sergey V Samsonau","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Samsonau, Sergey V","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5133392382"],"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/T11492","display_name":"Academic integrity and plagiarism","score":0.5325999855995178,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11492","display_name":"Academic integrity and plagiarism","score":0.5325999855995178,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.14640000462532043,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13607","display_name":"Academic Publishing and Open Access","score":0.10890000313520432,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6672000288963318},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6442000269889832},{"id":"https://openalex.org/keywords/scientific-integrity","display_name":"Scientific integrity","score":0.5958999991416931},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5525000095367432},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5367000102996826},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5259000062942505},{"id":"https://openalex.org/keywords/gatekeeping","display_name":"Gatekeeping","score":0.5227000117301941},{"id":"https://openalex.org/keywords/unit-testing","display_name":"Unit testing","score":0.49720001220703125}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6672000288963318},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6442000269889832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6424000263214111},{"id":"https://openalex.org/C2993209047","wikidata":"https://www.wikidata.org/wiki/Q91248609","display_name":"Scientific integrity","level":2,"score":0.5958999991416931},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5525000095367432},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5367000102996826},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5259000062942505},{"id":"https://openalex.org/C73380752","wikidata":"https://www.wikidata.org/wiki/Q609087","display_name":"Gatekeeping","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C148027188","wikidata":"https://www.wikidata.org/wiki/Q907375","display_name":"Unit testing","level":3,"score":0.49720001220703125},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.47510001063346863},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.42500001192092896},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41819998621940613},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41350001096725464},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3853999972343445},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.384799987077713},{"id":"https://openalex.org/C2780154230","wikidata":"https://www.wikidata.org/wiki/Q513420","display_name":"Undo","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32690000534057617},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.3010999858379364},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C2779390046","wikidata":"https://www.wikidata.org/wiki/Q4671278","display_name":"Academic integrity","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C101097943","wikidata":"https://www.wikidata.org/wiki/Q5176983","display_name":"Counterintuitive","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C2777825026","wikidata":"https://www.wikidata.org/wiki/Q3410431","display_name":"Public trust","level":2,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.08501","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08501","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.08501","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08501","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6001365780830383}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Scientific":[0],"papers":[1,76,174],"make":[2],"claims":[3],"about":[4],"prior":[5],"work":[6],"backed":[7],"by":[8],"citations.":[9],"Verifying":[10],"those":[11],"citations":[12],"at":[13,49,130],"scale":[14],"(that":[15],"each":[16],"cited":[17,161],"paper":[18,39],"exists,":[19],"says":[20],"what":[21,32],"the":[22,82,93,106,131],"citation":[23,100],"claims,":[24],"and":[25,44,65,116,135,138,154,164,176,181],"is":[26,29,119],"itself":[27],"reliable)":[28],"structurally":[30],"beyond":[31],"human":[33],"review":[34],"can":[35],"deliver:":[36],"a":[37,45,51,112,219,232],"typical":[38],"has":[40],"dozens":[41],"of":[42,75],"citations,":[43],"careful":[46],"reviewer":[47],"reads":[48],"most":[50],"handful":[52],"end-to-end.":[53],"AI-assisted":[54],"writing":[55],"makes":[56],"this":[57],"gap":[58],"even":[59],"more":[60],"urgent:":[61],"LLMs":[62],"hallucinate":[63],"references":[64],"may":[66],"fill":[67],"in":[68,194],"plausible":[69],"details":[70],"from":[71,96],"titles":[72],"or":[73],"abstracts":[74],"they":[77],"never":[78],"read,":[79],"worse":[80],"for":[81],"smaller":[83],"local-weights":[84],"models":[85],"that":[86],"privacy-aware":[87],"researchers":[88],"must":[89],"use.":[90],"sciwrite-lint":[91],"applies":[92],"linting":[94,187],"paradigm":[95],"software":[97],"engineering":[98],"to":[99,122,190],"verification:":[101],"it":[102],"runs":[103],"entirely":[104],"on":[105,171],"researcher's":[107],"machine":[108],"(free":[109],"public":[110],"databases,":[111],"single":[113],"consumer":[114],"GPU,":[115],"open-weights":[117],"models),":[118],"fast":[120],"enough":[121],"re-lint":[123],"between":[124],"revisions":[125],"so":[126],"authors":[127],"catch":[128],"problems":[129],"source":[132],"while":[133],"drafting,":[134],"serves":[136],"journals":[137],"reviewers":[139],"as":[140],"an":[141],"automated":[142],"first":[143],"pass.":[144],"The":[145,185],"pipeline":[146],"checks":[147],"reference":[148],"existence,":[149],"metadata":[150],"accuracy,":[151],"retraction":[152],"status,":[153],"claim":[155],"support,":[156],"traverses":[157],"one":[158],"level":[159],"into":[160],"papers'":[162],"bibliographies,":[163],"produces":[165],"per-reference":[166],"reliability":[167],"scores.":[168],"We":[169],"evaluate":[170],"30":[172],"unseen":[173],"(arXiv":[175],"bioRxiv)":[177],"with":[178,231],"error":[179],"injection":[180],"LLM-adjudicated":[182],"false-positive":[183],"analysis.":[184],"same":[186],"workflow":[188],"extends":[189],"internal":[191],"consistency:":[192],"numbers":[193],"text":[195],"vs.":[196,199,203,207],"tables,":[197],"abstract":[198],"body,":[200],"figure":[201],"captions":[202],"content,":[204],"statistical":[205],"results":[206],"their":[208],"verbal":[209],"interpretation,":[210],"plus":[211],"structural":[212],"cross-references":[213],"(dangling":[214],"cites,":[215],"orphan":[216],"references).":[217],"As":[218],"separate":[220],"experimental":[221],"contribution":[222,233],"we":[223],"also":[224],"propose":[225],"SciLint":[226],"Score:":[227],"citation-chain":[228],"integrity":[229],"combined":[230],"component":[234],"operationalizing":[235],"five":[236],"philosophy-of-science":[237],"frameworks":[238],"(Popper,":[239],"Lakatos,":[240],"Kitcher,":[241],"Laudan,":[242],"Mayo).":[243]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-11T00:00:00"}