{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T03:14:32Z","timestamp":1771038872052,"version":"3.50.1"},"reference-count":0,"publisher":"River Publishers","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JWE"],"abstract":"<jats:p>Web3 platforms face a critical challenge: once unsafe content is minted on-chain, it becomes immutable and irrevocable. Traditional NSFW classifiers operate off-chain without cryptographic guarantees, leaving blockchain ecosystems vulnerable to harmful content. We present VisionGuard, a unified moderation framework that integrates cost-sensitive AI decision-making with blockchain-based enforcement. Our system combines calibrated NSFW classification, abstention-based triage for uncertain cases, perceptual hashing for near-duplicate detection, and on-chain k-of-n quorum attestation using EIP-712 signatures. We establish formal guarantees for: (i) Bayes-optimal cost-sensitive thresholds minimizing asymmetric error costs, (ii) optimal abstention intervals for human review, (iii) monotone false-negative reduction under classifier-pHash fusion, (iv) quorum compromise bounds, and (v) end-to-end unsafe-mint probability. Empirical validation on a zero-shot NSFW task demonstrates 82% accuracy (AUC =0.88), with the Bayes-optimal threshold (\u03c4\u2217=0.1) reducing expected cost to 27,520 versus 54,942 at the F1-optimal threshold\u2014a 50% improvement. Calibrated abstention further lowers harm (cost =10,649.5), while a 3-of-5 quorum with oracle compromise p=0.1 yields break probability Pbreak&lt;1%. Together, VisionGuard bridges decision theory, adversarial robustness, and cryptographic enforcement, providing the first provably safe AI moderation pathway for blockchain content.<\/jats:p>","DOI":"10.13052\/jwe1540-9589.2516","type":"journal-article","created":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T02:22:50Z","timestamp":1769739770000},"source":"Crossref","is-referenced-by-count":0,"title":["VisionGuard: Cost-Sensitive AI Attestation with Quorum-Verified Blockchain Enforcement"],"prefix":"10.13052","author":[{"given":"Sundara Srivathsan","family":"M","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lighittha P.","family":"R.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Prithivraj","family":"S.","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1874-6479","authenticated-orcid":false,"given":"Suganya","family":"Ramamoorthy","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vijayan","family":"Sugumaran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"5195","published-online":{"date-parts":[[2026,1,29]]},"container-title":["Journal of Web Engineering"],"original-title":[],"link":[{"URL":"https:\/\/journals.riverpublishers.com\/index.php\/JWE\/article\/download\/31797\/23351","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.riverpublishers.com\/index.php\/JWE\/article\/download\/31797\/23353","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.riverpublishers.com\/index.php\/JWE\/article\/download\/31797\/23351","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T02:24:24Z","timestamp":1771035864000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.riverpublishers.com\/index.php\/JWE\/article\/view\/31797"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,29]]},"references-count":0,"URL":"https:\/\/doi.org\/10.13052\/jwe1540-9589.2516","relation":{},"ISSN":["1544-5976","1540-9589"],"issn-type":[{"value":"1544-5976","type":"electronic"},{"value":"1540-9589","type":"print"}],"subject":[],"published":{"date-parts":[[2026,1,29]]}}}