Physical evidence
Explore tangible reference objects whose measurable properties can be checked directly, rather than relying only on a digital image or claim.
DNCT explores a new approach to trustworthy verification by combining physical evidence, precise measurement and digital records — for a world where images, documents and even familiar security assumptions can be challenged.
An open research concept in development. DNCT is not yet a validated standard, a guarantee against counterfeiting, or a financial product.
As AI makes convincing synthetic content easier to produce, DNCT asks a practical question: can important claims be supported by evidence that people and machines can independently check?
Explore tangible reference objects whose measurable properties can be checked directly, rather than relying only on a digital image or claim.
Define procedures, equipment, tolerances and records so that different people can repeat a check and understand its uncertainty.
Combine physical tests with cryptographic records, provenance and independent review. No single signal should be treated as proof of everything.
The early DNCT concept considers a standardised metal reference object — for example, a proposed 100 g platinum token — checked using calibrated measurement and suitable material analysis. The goal is not to claim that weight alone proves authenticity, but to design a clear, repeatable verification process.
Digital records can document what was tested, by whom, with which equipment, and under what conditions.
Record the object’s specification, serial identity, custody and relevant provenance.
Use calibrated equipment and publish tolerances, uncertainty and handling instructions.
Choose suitable independent tests based on the threat model, not just appearance or weight.
Keep results, method versions and limitations open to audit where privacy and security permit.
DNCT is intended to grow through transparent technical discussion, references to prior work and clearly separated hypotheses, measurements and conclusions.
A conceptual framework for combining physical measurement, material verification and digital records. It discusses cryptographic uncertainty, threat models, limitations and a validation roadmap.
See the proposed validation roadmap →Replace the button above with the published paper URL when ready. Include complete bibliographic references and a version/date on every public release.
Early testing should be small, documented and independently reviewable. Publish negative results and known limitations alongside successes.
Define geometry, material claims, serialisation, case tolerances and acceptance criteria.
Record repeatability, instrument calibration, environmental effects and measurement uncertainty.
Test plausible counterfeits, modified objects, copied cases and failure scenarios.
Invite independent laboratories and researchers to review the method and publish findings.
Potential services should emerge from demonstrated verification performance, transparent governance and clear boundaries between research, certification and financial activity.
White papers, test protocols, measurement records, public issue tracking and educational materials.
Software and procedures to capture test results, instrument metadata, signatures and audit trails.
Work with qualified laboratories and reviewers; clearly disclose scope, uncertainty and conflicts of interest.
Explore use cases with banks, custodians, insurers or supply-chain operators only after technical, legal and operational review.
DNCT should not ask the public to trust a slogan. It should make its assumptions, evidence and weaknesses visible, and welcome technically informed criticism.
Use measured results and explicit confidence limits instead of absolute anti-counterfeit claims.
Document formats and methods so independent parties can inspect or reproduce the checks.
Keep consequential decisions reviewable, with clear responsibility for certification and exceptions.
DNCT welcomes feedback from materials scientists, metrology specialists, security researchers, software engineers, laboratories, institutions and curious members of the public.
Identify assumptions, missing references, weak points and testable hypotheses.
Suggest a measurement protocol, counterfeit scenario or independent validation method.
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DNCT is an invitation to turn a timely question into a testable, transparent research programme.