{"id":"https://openalex.org/W7124736209","doi":"https://doi.org/10.48550/arxiv.2601.11093","title":"Integrity Shield A System for Ethical AI Use &amp; Authorship Transparency in Assessments","display_name":"Integrity Shield A System for Ethical AI Use &amp; Authorship Transparency in Assessments","publication_year":2026,"publication_date":"2026-01-16","ids":{"openalex":"https://openalex.org/W7124736209","doi":"https://doi.org/10.48550/arxiv.2601.11093"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.11093","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.11093","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"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":"https://doi.org/10.48550/arxiv.2601.11093","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093982042","display_name":"Ashish Raj Shekhar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shekhar, Ashish Raj","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123315754","display_name":"Shiven Agarwal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agarwal, Shiven","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064859050","display_name":"Priyanuj Bordoloi","orcid":"https://orcid.org/0000-0002-6583-7368"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bordoloi, Priyanuj","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070580485","display_name":"Yash Shah","orcid":"https://orcid.org/0000-0003-1551-7611"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shah, Yash","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181194","display_name":"Tejas Anvekar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anvekar, Tejas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5123343497","display_name":"Vivek Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Vivek","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5093982042"],"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.23849999904632568,"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"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.23849999904632568,"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/T11492","display_name":"Academic integrity and plagiarism","score":0.20589999854564667,"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/T10028","display_name":"Topic Modeling","score":0.0674000009894371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.817300021648407},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.7599999904632568},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6718000173568726},{"id":"https://openalex.org/keywords/watermark","display_name":"Watermark","score":0.6445000171661377},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5961999893188477},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5443999767303467},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.504800021648407},{"id":"https://openalex.org/keywords/data-integrity","display_name":"Data integrity","score":0.4875999987125397}],"concepts":[{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.817300021648407},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7599999904632568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.683899998664856},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6718000173568726},{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.6445000171661377},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5961999893188477},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5443999767303467},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5320000052452087},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.4875999987125397},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.40880000591278076},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.3986999988555908},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.32829999923706055},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.2922999858856201},{"id":"https://openalex.org/C118463975","wikidata":"https://www.wikidata.org/wiki/Q220849","display_name":"Digital signature","level":3,"score":0.28610000014305115},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2773999869823456},{"id":"https://openalex.org/C527821871","wikidata":"https://www.wikidata.org/wiki/Q228502","display_name":"Access control","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C138081364","wikidata":"https://www.wikidata.org/wiki/Q852013","display_name":"Shield","level":2,"score":0.25920000672340393}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.11093","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.11093","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.11093","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.11093","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.781211256980896,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"can":[4,94],"now":[5],"solve":[6],"entire":[7],"exams":[8,105],"directly":[9],"from":[10,83,98],"uploaded":[11],"PDF":[12],"assessments,":[13],"raising":[14],"urgent":[15],"concerns":[16],"about":[17],"academic":[18],"integrity":[19],"and":[20,25,88,109,121,146],"the":[21,33,40],"reliability":[22,124],"of":[23],"grades":[24],"credentials.":[26],"Existing":[27],"watermarking":[28,62],"techniques":[29],"either":[30],"operate":[31],"at":[32],"token":[34],"level":[35],"or":[36,100],"assume":[37],"control":[38],"over":[39],"model's":[41],"decoding":[42],"process,":[43],"making":[44],"them":[45],"ineffective":[46],"when":[47],"students":[48],"query":[49],"proprietary":[50],"black-box":[51],"systems":[52],"with":[53],"instructor-provided":[54],"documents.":[55],"We":[56],"present":[57],"Integrity":[58,112],"Shield,":[59],"a":[60],"document-layer":[61],"system":[63],"that":[64,93],"embeds":[65],"schema-aware,":[66],"item-level":[67,91],"watermarks":[68,79],"into":[69],"assessment":[70],"PDFs":[71,87],"while":[72],"keeping":[73],"their":[74],"human-visible":[75],"appearance":[76],"unchanged.":[77],"These":[78],"consistently":[80],"prevent":[81],"MLLMs":[82],"answering":[84],"shielded":[85],"exam":[86],"encode":[89],"stable,":[90],"signatures":[92],"be":[95],"reliably":[96],"recovered":[97],"model":[99],"student":[101],"responses.":[102],"Across":[103],"30":[104],"spanning":[106],"STEM,":[107],"humanities,":[108],"medical":[110],"reasoning,":[111],"Shield":[113],"achieves":[114],"exceptionally":[115],"high":[116],"prevention":[117],"(91-94%":[118],"exam-level":[119],"blocking)":[120],"strong":[122],"detection":[123],"(89-93%":[125],"signature":[126],"retrieval)":[127],"across":[128],"four":[129],"commercial":[130],"MLLMs.":[131],"Our":[132],"demo":[133],"showcases":[134],"an":[135,141],"interactive":[136],"interface":[137],"where":[138],"instructors":[139],"upload":[140],"exam,":[142],"preview":[143],"watermark":[144],"behavior,":[145],"inspect":[147],"pre/post":[148],"AI":[149],"performance":[150],"&amp;":[151],"authorship":[152],"evidence.":[153]},"counts_by_year":[],"updated_date":"2026-01-20T17:29:24.968406","created_date":"2026-01-20T00:00:00"}
