MAP-States
MAP-States is a conditional method for capturing structured model-assisted process states. It can make declared workflow and reasoning artifacts more reviewable, but it is not ground truth about hidden model state and is not required where ordinary evidence is sufficient.
Suitable uses
- research on model-assisted reasoning and workflow structure;
- auditable task records where explicit state transitions matter;
- comparison of declared process with outputs and external evidence; and
- evidence packets where the method’s framing and limitations are acceptable.
Limits
A model-generated frame is itself an output. It may be incomplete, confabulated, strategically shaped, or mismatched to internal computation. Cross-model feasibility does not establish fidelity, causal interpretation, invariance, or universal validity.
Use external artifacts, logs, tests, provenance, behavioral outputs, and independent verification as the claim requires.
Relationship to HEART
MAP-States may be selected in a HEART verification plan when it is fit for purpose. It is not the universal evidence layer, and HEART conformity never depends on MAP-States merely because the Foundation publishes it.
MAP-States may also be used independently of HEART.
Related Terms