The rules
Only the mandatory rules decide a pack's finding. A recommended rule that fails is reported and does not, on its own, make a record non-compliant. Each rule's words below are the pack's own.
c2pa-claim-signature mandatory
The claim is signed by a credential a relying party can evaluate, not merely by whoever held a key. Checks: the record declares an attestation_level of software or stronger. Does not check: that the issuer attests at that level in fact. The level is the issuer's own claim about itself, and this rule reads only that claim; what the trust store grants the signing key is a different question, which the verifier answers (trust.attestation) before any pack is evaluated. No C2PA credential, certificate chain or conformance program is examined here.
C2PA Technical Specification 2.2, Signing a Claim, and Digital Signatures
c2pa-hard-binding mandatory
What the claim is about is bound to it by hash, the way a C2PA hard binding binds an asset. Checks: the training input is committed by a Merkle root over at least one input, and the root is not that of an empty tree, so a record that declares its training input not held or not disclosed fails; and a record with predecessors names the one before it by hash. Does not check: that the committed input is the content the claim describes; a record carries no c2pa.hash.data assertion of its own.
C2PA Technical Specification 2.2, Hard Bindings (the c2pa.hash.data assertion)
c2pa-generator-identified recommended
The model named as the generator of trained-algorithmic media is identified by more than a name. Checks: its learned state and each component carry a parseable hash and a positive size. Does not check: that any bytes hash to a declared value, since an evaluation reads the record and nothing else; or that this model produced any particular content. A record carries no c2pa.actions assertion of its own: the rule identifies the model, it does not tie it to an asset.
C2PA Technical Specification 2.2, the c2pa.actions assertion with digitalSourceType trainedAlgorithmicMedia