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Portfolio Relationship

Status: reviewer-facing ecosystem note.

This document explains how CML fits into the broader trustworthy-agent evidence architecture.

Central map:

https://github.com/safal207/L-THREAD-Liminal-Thread-Secure-Protocol-LTP-/blob/main/docs/ECOSYSTEM_SPIDER_MAP.md

Role of this repository

CML is the causal permission and responsibility lineage layer.

It asks:

Why was this action allowed?

and checks whether the causal parent, approval, intent, or responsibility chain is intact.

Ecosystem position

PythiaLabs — pre-execution evidence gates for high-risk agentic actions
LTP — path-level trace/replay/admissibility protocol
CML — causal permission and responsibility lineage
DMP — decision memory and irreversibility governance
LRI — living identity and relational invariants

How CML connects to the other layers

Layer Relationship
PythiaLabs CML provides causal permission signals that can help an action gate allow, block, or escalate a proposed action.
LTP LTP preserves the path-level trace where CML causal validity can be inspected over time.
DMP DMP preserves decision memory when a causally permitted action later creates durable or irreversible consequences.
LRI LRI adds human identity and revisability boundaries when causal permission is not enough to protect the person.

Reviewer interpretation

CML should not be read as an ordinary logging tool.

Logs show what happened. CML checks why it was allowed.

Non-claims

CML does not claim:

  • full AI alignment;
  • production security certification;
  • regulatory compliance certification;
  • replacement of logs, tracing, policy engines, or human review;
  • universal prevention of unsafe actions.

The narrower claim is:

CML is an open-source causal audit layer for checking permission and responsibility lineage in structured action traces.