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Sources

The research and primary sources behind the demo. Reviewed 12 August 2026.

What Anthropic says

Anthropic says its detector is not conclusive in either direction. A detected mark can mean that Claude processed the content, but it is not proof. Claude may only have proofread, translated or converted it.

No mark does not mean that Claude or another model was not involved.

Anthropic has not published its watermarking method. This demo does not claim to reproduce it.

The EU AI Act

Article 50(2) requires providers to mark AI-generated or manipulated output in a machine-readable form where technically feasible.

It does not require a particular method. It also excludes assistive standard editing, and cases where the output does not substantially alter the input or its meaning.

Anthropic says models launched in the EU from 2 August 2026 support marking at launch, and that the marks apply worldwide rather than only in the EU. The consolidated Act gives some existing systems until 2 December 2026.

Watermarking research

Bias in AI text detectors

Text detectors are not watermark detectors, but they show why a score must not become a judgement about a person.

A 2023 study found severe errors against non-native English writers in seven tested detectors. A 2026 Czech study did not find the same pattern across three detector families. The results depend on the language, population and detector.

What C2PA can and cannot do

C2PA can attach signed claims about sources, actions and history to a file. Validation can show that the signed record still matches the file.

It cannot show that the assertions inside a claim are true, and it does not identify the responsible person on its own: that needs a separate identity assertion or a controlled workflow. Its guidance recommends creating records at meaningful points in a workflow, not after every action.

Technical notes

C2PA distinguishes assertions created by the signer, which the signature covers, from assertions gathered from elsewhere, which it does not vouch for. Its claim generator is software, not a person. A data hash can cover selected byte ranges, while a soft binding can help find a separate manifest.

The human corpus

The evaluation uses public-domain works published long before modern language models. Authors are separated between the calibration and evaluation sets.

AuthorWorkSource
Adam SmithThe Wealth of NationsProject Gutenberg 3300
Benjamin FranklinAutobiographyProject Gutenberg 20203
Charles DarwinThe Origin of SpeciesProject Gutenberg 2009
David HumeAn Enquiry Concerning Human UnderstandingProject Gutenberg 9662
David RicardoPrinciples of Political EconomyProject Gutenberg 33310
Henry David ThoreauWaldenProject Gutenberg 205
John LockeAn Essay Concerning Human UnderstandingProject Gutenberg 10615
John RuskinThe Crown of Wild OliveProject Gutenberg 26716
John Stuart MillOn LibertyProject Gutenberg 34901
John TyndallFragments of ScienceProject Gutenberg 24527
Michael FaradayThe Chemical History of a CandleProject Gutenberg 14474
Ralph Waldo EmersonEssaysProject Gutenberg 16643
T. R. MalthusAn Essay on the Principle of PopulationProject Gutenberg 4239
Thomas Henry HuxleyEvidence as to Man's Place in NatureProject Gutenberg 2931
Thomas PaineCommon SenseProject Gutenberg 147
Thorstein VeblenThe Theory of the Leisure ClassProject Gutenberg 833

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