Once legibility is defined as the persistence of non-arbitrary continuation under constraint, a further assumption begins to loosen.
It is the assumption that systems have clear boundaries.
Because boundaries are usually understood as something that can be drawn from a position outside the system:
But none of these operations are required for selection-based continuation.
In a language model, there is no external delimitation being actively maintained during generation.
There is only a history of constraints shaping what can follow.
What appears as “system behaviour” is not bounded from the outside.
It is stabilised from within the space of allowable continuations.
This produces an important shift.
A system is no longer something that is contained.
It is something that is locally coherent across a region of constraint space.
This means that “inside” and “outside” are not primary distinctions.
They are derived effects of how continuity behaves under constraint.
A region of high coherence may appear as a “system” only because its continuations remain stable under the rules governing selection.
Where coherence breaks down, the impression of systemness dissolves.
There is no need for an observer to draw a boundary in order for this to occur.
The boundary is not imposed.
It is inferred from patterns of continuation and discontinuity.
This has a further consequence.
What is treated as “the system” is not a fixed entity.
It is a region of sustained constraint-consistent propagation within a larger space of possible transitions.
And importantly, this region is not sharply delimited.
It has edges of varying stability:
zones where continuation remains highly predictable
zones where constraints weaken or compete
zones where trajectories diverge rapidly
The “boundary” is not a line.
It is a gradient of stabilisation failure.
This is why it is misleading to speak of systems as if they were objects.
Objects imply clear separability.
But what is being described here is not separability.
It is differential continuity under constraint.
From this perspective, even the language model itself is not a bounded system in the classical sense.
It is a region in which certain kinds of continuation remain highly stable relative to the constraints imposed during generation.
But those constraints are not self-contained in a simple way.
They include:
training history
contextual input
architectural structure
probabilistic selection dynamics
None of these form a clean boundary.
Together, they define a field of constrained possibility.
Which suggests a more general point:
system boundaries are not prerequisites for coherence.
They are retrospective stabilisations of coherent continuation.
A system is what we say exists when continuation remains stable enough, for long enough, under enough constraint regularity, that it can be treated as unified.
But unity is not required for continuation.
It is one way continuation is later interpreted.
This reframes the earlier discussion of legibility again.
If legibility is recoverable continuation under constraint, then what appears as a “system” is simply:
a region in which legibility is sufficiently stable that boundary inference becomes possible
This reverses the usual order of explanation.
It is not that systems generate legible outputs.
It is that sustained legibility produces the impression of systems.
And once again, recognition is not required for this to occur.
Recognition is one way in which boundaries are later stabilised.
But the differentiation of coherent from incoherent continuation does not depend on recognition being present.
It depends only on the behaviour of constraints across transitions.
This also clarifies why boundaries feel natural in everyday cognition.
In recognition-based regimes, boundaries are stabilised by perception and interpretation.
But in selection-based regimes, boundaries emerge from statistical and structural regularities in continuation space.
They are not drawn.
They are inferred after coherence has already formed.
Which means:
systems are not containers of coherence.
They are what coherence looks like when it stabilises long enough to be treated as contained.
And this leads to a final adjustment.
If there are no primary boundaries, then what we call “a system” is not an entity at all.
It is a temporary coherence of constraint propagation that appears bounded only when viewed from within stabilised regimes of interpretation.
No observer is required for this coherence to occur.
But an observer is required for it to be named as a system.
And that distinction is now the key separation the series has been building toward:
between what must exist for continuationand what is later inferred as structure, system, or meaning
At this level, legibility, structure, and systemhood begin to converge—not as properties of things, but as different ways in which constrained continuation can be stabilised, either during generation or after it.
And the question that remains is no longer about what systems are.
But about how far continuation can go before any notion of systemhood is no longer the most economical way to describe it.
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