A provenance label is useful only while it remains attached to the thing it describes.
That sounds obvious until media starts moving through the internet.
An image leaves a camera, enters an editor, gets uploaded to a social network, downloaded, resized, screenshotted, pasted into a message, reposted by another account, and compressed again. Somewhere in that journey, the information explaining where the image came from may disappear.
The Coalition for Content Provenance and Authenticity is trying to make that chain more durable through the C2PA standard and Content Credentials. The current C2PA technical specification defines a system for attaching cryptographically verifiable provenance information to digital assets: who or what created them, which tools modified them, and how their history developed.
That is stronger than a plain text label saying “AI generated.”
It is still not magic glue.
The file and its history can become separated
Ordinary internet workflows routinely create new files.
A platform may resize a photograph. A messaging app may recompress it. A user may take a screenshot. An editor may export the picture into another format. A social network may strip metadata from the downloadable rendition even if it inspected that metadata during upload.
Once the distributed copy no longer carries the original manifest, a viewer may see the media without seeing its provenance.
C2PA explicitly anticipates this problem. Its specification includes soft bindings, such as content fingerprints or invisible watermarks, that can help reconnect a modified asset with provenance stored elsewhere. The standard describes a “Durable Content Credential” as one that uses such mechanisms so provenance can potentially be recovered even after embedded metadata is lost.
That is an important design choice because exact-file identity is fragile on the modern web.
Provenance is evidence, not a truth machine
Even an intact credential has limits.
It can provide tamper-evident claims about an asset’s history and the entities that signed those claims. It does not prove that every statement depicted in the media is factually true. A perfectly authentic photograph can have a misleading caption. A real camera can photograph a staged scene. An editor can truthfully disclose an AI-generated asset whose underlying claim is still nonsense.
Provenance answers questions such as where did this come from and what happened to it?
Truth requires additional evidence.
Reposting is the durability test
For provenance systems to matter at internet scale, information has to survive beyond the first platform that understands it.
That means compatible tools, durable bindings, visible labels, repositories that can recover manifests, and platforms willing to preserve or reconstruct provenance when they transform media.
Otherwise a credential may work beautifully at the point of creation and vanish three reposts later—exactly when somebody encounters the content without its original context.
Dead Internet Theory is partly a problem of uncertain origins. Synthetic media makes that uncertainty harder.
Provenance systems offer a practical response, but their real test is not whether a label can be attached.
It is whether the label can survive the internet.