ptcna 0.1.0

Prime Tensor Circled Neural Architecture — one architecture, four layers (neural/circle/seed/core). Consolidates pcna, pcta, pcsa.

PTCNA — Prime Tensor Circled Neural Architecture

One architecture, four layers. Not four repos — four layers of one thing. PTCNA consolidates the former The-Interdependency repos pcna, pcta, and pcsa into a single package and is the single upstream that feeds interdependent-lib.

The four layers

Each layer's tensors divide into the next; every circle, seed, and core is itself a tensor.

Module	Layer	Divides… → …	Tensor kind	Back-propagation
ptcna.neural	neural	(base) neural tensors	neural	yes — the only differentiable layer
ptcna.circle	circle	neural tensors → circles	auditing / timing	no
ptcna.seed	seed	circles → seeds	auditing / timing	no
ptcna.core	core	seeds → cores	auditing / timing	no

• Back-propagation lives only in the neural layer. Circle, seed, and core tensors are auditing and timing tensors — they do not differentiate.
• fiqs gate when cores propagate internally, per Fick's first law J = −D ∇φ (structure diffusing down its field gradient). Timing, not gradient descent. The fiq substrate lives in ptcna.core.prime_core.
• PCEA (Prime Circular Encryption Algorithm) is not a layer — it stays a separate, orthogonal repo (the guardian: "last state as key" at every layer).

Provenance

Layer	Migrated from	Was
neural	The-Interdependency/pcna (core/)	Prime Circular Neural Architecture
seed	The-Interdependency/pcta	Prime Circled Tensor Architecture (circles → seeds)
core	The-Interdependency/pcsa (ptca/ + prime_core/)	Prime Tensor Core Architecture (was PTCA)
circle	new (extraction target — see docs/architecture.md)	previously unnamed

Install & test

pip install -e ".[dev]"      # neural layer needs numpy; seed/core are stdlib-only
pytest                       # testpaths = ptcna

Status

Alpha (0.1.0). All four layers import; 146 tests pass (seed/core/prime_core stdlib-only + neural under numpy). Consolidation reconciliation is complete for the neural/circle/seed split: the seed/circle audit was extracted into its layers and the neural prime-ring tensor was renamed PTCACore → RingCore. The core layer still intentionally exposes PTCA-named public objects such as PTCATensor and PTCAInstance; those names now live in the correct layer. History and any remaining notes live in docs/architecture.md.

License: MPL-2.0.