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Repository: Tuttotorna/omnia-limit Release tag: v2026.05.21 Release commit: 4998b6c Release DOI: 10.5281/zenodo.20322684

Boundary:

measurement != validation validation != orchestration orchestration != decision decision != measurement

omnia-limit

DOI

DOI

Zenodo DOI badge for this repository.

Repository: Tuttotorna/omnia-limit GitHub repository id: 1128461964 Release tag: v2026.05.21 Latest release DOI: 10.5281/zenodo.20322684

DOI

DOI

Release DOI: 10.5281/zenodo.18362097

GitHub release: omnia-limit v1.0.0 release

Start here

From a clean environment:

git clone [omnia-limit.git](https://github.com/Tuttotorna/omnia-limit.git)
cd omnia-limit
python -m pip install -e .
pytest

If example scripts are available, run the smallest demonstration after tests pass.

The goal is to see the limit path:

measurement sequence
  -> marginal structural gain
  -> saturation / irreversibility
  -> stop-or-continue boundary
  -> external decision

What omnia-limit does

omnia-limit observes a sequence of structural measurements and asks whether continuing still adds useful structural discrimination.

It can support stop / continue signals when a measurement process appears saturated, exhausted, irreversible, unstable, or no longer structurally productive under declared conditions.

Public compression:

OMNIA measures.
omnia-limit asks whether more measurement still helps.

What omnia-limit does not do

omnia-limit does not:

  • infer semantic truth;
  • decide correctness;
  • replace external judgment;
  • prove final truth;
  • prove physical truth;
  • perform security scanning;
  • perform cryptographic attacks;
  • convert stop / continue signals into final decisions.

The final decision remains external.


Public mental model

More measurement is not always more knowledge.
At some point, additional transformation may stop adding structure.
omnia-limit makes that boundary explicit.

Limit contract

Every serious omnia-limit result should make clear:

Component Meaning
sequence The measurement sequence being observed
marginal gain What additional structure is gained by continuing
saturation Whether the sequence is approaching exhaustion
irreversibility Whether structural loss becomes non-recoverable
boundary signal stop, continue, flag, or inconclusive
limitation What the signal does not prove
external decision Who or what acts after the boundary signal

Result vocabulary

Recommended result vocabulary:

continue
stop
flag
inconclusive

Meaning:

  • continue: more measurement may still add useful structural discrimination;
  • stop: further measurement is unlikely to add useful structural discrimination under the declared protocol;
  • flag: instability, irreversibility, or saturation requires inspection;
  • inconclusive: the sequence is insufficient or ambiguous.

Recommended reading order

  1. docs/QUICKSTART_LIMIT.md
  2. docs/LIMIT_OVERVIEW.md
  3. docs/STOP_CONTINUE_CONTRACT.md
  4. docs/SATURATION_AND_IRREVERSIBILITY.md
  5. docs/BOUNDARY.md
  6. docs/LIMIT_MANIFEST.json

Ecosystem entry point

For the full ecosystem map, start here:

lon-mirror

For public validation artifacts, start here:

OMNIA-VALIDATION

For core structural measurement, start here:

OMNIA


Related repositories

Repository Role
lon-mirror Canonical public entry point
OMNIA-VALIDATION Public validation showroom
OMNIA Core structural measurement engine
OMNIABASE Representation invariance foundation
omnia-limit Stop / continue boundary layer
OMNIA-RADAR Structural signal detection layer
OMNIA-INVARIANCE Structural invariance layer
OMNIA-CONSTANT Structural constant candidate layer
OMNIAMIND Structural cognition orchestration layer
OMNIA-THREE-BODY Dynamic divergence stress test
OMNIA-SECURITY Bounded structural security diagnostics
OMNIA-CRYPTO Bounded structural crypto diagnostics

Boundary and smoke-test required terms

measurement != inference != decision
Decision remains external

License

MIT.

Ecosystem Boundary

measurement != inference != decision

This repository is part of the MB-X.01 / OMNIA ecosystem. Its outputs must be read as structural measurement, validation, detection, orchestration or adapter artifacts according to the repository role. They are not autonomous semantic truth claims and they do not make external decisions.

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Structural boundary and stop-condition layer for saturation, irreducibility, and continuation limits.

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