Abstract
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Abstract
This record is a public technical disclosure by Sangam Das, an independent inventor, on execution-finality governance for algorithmic amplification of civic information. Electoral-integrity frameworks such as the European Democracy Shield (European Commission, 12 November 2025) rely on monitoring, fact-checking, and rapid alerts that observe amplification and respond after it reaches users; none can establish, before an item is boosted to millions, which ranking configuration authorized it. The disclosed Algorithmic Logic Fingerprint (ALF) architecture supplies that missing execution-level evidence layer. The underlying principle is that a recommender system may propose an amplification, but authority to make it effective resides at an independently enforced boundary, where a fail-closed Finality Sink releases the boost only when cryptographic evidence binds it to the platform’s own approved configuration, policy epoch, and single-use authorization; otherwise it is withheld before it takes effect. Three formal propositions show the mechanism is content- and viewpoint-neutral by construction: direct user publication is never affected, decisions are invariant under any transformation of content, and the worst-case effect is a delayed boost, never deletion, labelling, or demotion. No disclosure of source code, model weights, or ranking parameters is required. The record analyses the architecture against WTO disciplines (GATS, TBT Agreement) and the source-code provisions of CPTPP Article 14.17 and USMCA Article 19.16, and maps it to the Council of Europe AI Convention, the UK and Australian Online Safety Acts, India’s IT Rules, and Brazil’s electoral AI rules. A public reference implementation passes 150 of 150 automated tests, withheld 5,000 of 5,000 post-validation substitutions, and added about 0.11 ms per request at the HTTP delivery boundary. This record establishes a dated, citable, and reproducible technical reference for engineers, standards bodies, platform-integrity teams, and regulators. It makes no allegation of manipulation, interference, or violation by any platform, government, or individual, and statements on legal relevance describe technical design properties only, not legal opinion.
for more details : https://zenodo.org/records/23659488
Keywords
execution finality; algorithmic amplification; recommender system accountability; social media virality; election integrity; information integrity; European Democracy Shield; Digital Services Act; content-neutral governance; free expression; platform governance; fail-closed enforcement; cryptographic attestation; trusted execution environment; policy enforcement point; WTO TBT; GATS; digital trade; source-code provisions; Online Safety Act; AI governance; technical disclosure
Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Das, Sangam Kumar, "Stopping Algorithmic Manipulation Before It Spreads: Execution-Level Evidence for the European Democracy Shield and Democratic Resilience Worldwide", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/12543