GateTrue

What each generator documents about marking its output

Which provenance standards get named, and by whom

Two schemes are named anywhere in this register. Both appear in technical documents, and no pricing page names either. Three generator rows and one implementer entry carry them. As of 2026-09-22.

Two schemes, two layers, and the documents that name themA credential manifest sits in the container around the picture, where ordinary tools can read it and ordinary handling can remove it. An in-picture signal sits in the frame itself. Every naming of either appears in a technical document, never on a pricing page.A credential standardA manifest around the pictureNamed by two generator rowsReadable by public tools, removable byhandlingAn in-picture signalWritten into the frame itselfNamed by one generator row and oneresearch pageHarder to read, harder to removeWhere every naming in this register comes fromNine pricing-grid rows name neither
Fig. 1 Naming a standard predicts the genre of the source page rather than anything about the company.
The rows this finding rests on, with the value each one's own pages support. Recorded 2026-09-22.
EntryMachine-readable markingDocument read
Amazon Nova ReelInvisible watermark plus C2PA Content CredentialsAI service card
Google (SynthID)An invisible mark, written at generationA research page
SoraC2PA on every asset, standard namedSora 2 system card
VeoSynthID, with a verification platform namedVeo API documentation

Inclusion rule. Entries whose own pages name a provenance scheme, a metadata standard or a described signal. A general mention of metadata without a name does not qualify. Order. Alphabetical by the name in the first column.

1Two schemes, and which layer each one occupies

One is a credential standard: a manifest attached to the container around the picture, which is what makes it readable by ordinary tools and removable by ordinary handling. Two generator rows name it, and one of them says the manifest carries the model and platform that produced the file.

The other is an in-picture signal, named by one generator row and described in full by the organisation that builds it. That entry publishes where the signal is embedded, that it is written the moment content is created, and which transformations it is designed to survive, which no generator documentation here does.

2No pricing page names either

Nine entries in this register are read from a pricing grid and not one of them names a scheme. That is structural rather than evasive: a provenance manifest is not a feature anybody upgrades to buy, so a document built around upgrades has nowhere to put it.

Which makes the naming of a standard a reliable signal about the genre of the source page rather than about the seriousness of the company. Every named scheme here comes from a system card, a service card, developer documentation or a research page, and the split holds across the whole register without exception.

3What naming a scheme does and does not settle

It hands a reader something to look up, which is the test a sentence has to pass before it fills the file-contents column. It does not say the signal is present in any particular file, and it does not say who can read it: one of these entries describes its detection tooling as internal to the vendor.

Nor does naming a standard imply durability. One vendor publishes the limit of its own mechanism, saying a check works unless the metadata has been removed. The others name a scheme and leave its fragility for the reader to work out from the specification.

4Sources

  • Machine-readable marking
    In the same list: C2PA metadata on all assets, providing verifiable origin through an industry standardstandard namedOpenAI, Sora 2 system card / recorded 2026-09-22
  • Machine-readable marking
    Videos created by Veo are watermarked using SynthID, described as the vendor's tool for watermarking and identifying AI-generated contentstated under LimitationsGemini API, Veo documentation / recorded 2026-09-22
  • Machine-readable marking
    Amazon Nova Reel 1.1 adds Content Credentials to videos it generates, built on the C2PA specification, carrying the model and the platform used to generate the videostandard namedAWS, Amazon Nova Reel service card / recorded 2026-09-22
  • Machine-readable marking
    An invisible watermark is embedded across Google's generative AI consumer productsproduct-wideGoogle DeepMind, SynthID / recorded 2026-09-12

Every row above is read from the vendor page named beside it, on 2026-09-22. The same values in register form are on the support table, the rule for this column is on the machine-readable marking column page, and what may fill a cell at all is on the what earns a row page. Other findings: who can read the signal, reasons printed beside a mark.