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pith:MRDE3URM

pith:2026:MRDE3URMMZL5SLNDRTYNKK42S4

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S-AI-Recursive: A Bio-Inspired and Temporal Sparse AI Architecture for Iterative, Introspective, and Energy-Frugal Reasoning

Said Slaoui

Reasoning emerges from iterative hormonal feedback in small AI models rather than from wide feed-forward layers.

arxiv:2605.13872 v1 · 2026-05-05 · cs.NE · cs.AI

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Claims

C1strongest claim

Experimental validation on the SAI-UT+ testbench demonstrates that S-AI-Recursive achieves competitive reasoning performance on abstract and symbolic benchmarks with fewer than ten million parameters, confirming the central principle of temporal parsimony: iterative cognitive depth substitutes for architectural width.

C2weakest assumption

The assumption that the newly introduced hormones Clarifine and Confusionin, together with the recursive state dynamics, produce genuine iterative refinement and Lyapunov-stable convergence on real reasoning tasks rather than on the specific SAI-UT+ benchmarks alone.

C3one line summary

S-AI-Recursive operationalizes reasoning as a closed-loop hormonal iteration with Clarifine and Confusionin to reach stable equilibrium, achieving competitive benchmark performance with under 10 million parameters via temporal depth instead of width.

References

49 extracted · 49 resolved · 3 Pith anchors

[1] S-AI: A sparse artificial intelligence system orchestrated by a hormonal MetaAgent and context-aware specialized agents, 2025

[2] From Hormones to Probabilities: A Unified Doctrine of Cognitive Homeostasis in Sparse Artificial Intelligence, 2025 · doi:10.2139/ssrn.5735582

[3] S-AI-IoT: Formal Agent Specification, Mathematical Modeling, and Stability Analysis of the Hormonal Orchestration Framework,

[4] Attention is all you need, 2017

[5] Language models are few- shot learners, 1901

Formal links

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Receipt and verification

First computed	2026-05-17T23:39:19.307191Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

64464dd22c6657d92da38cf0d52b9a9718db5009e4b17a06e9597d367ef722b1

Aliases

arxiv: 2605.13872 · arxiv_version: 2605.13872v1 · doi: 10.48550/arxiv.2605.13872 · pith_short_12: MRDE3URMMZL5 · pith_short_16: MRDE3URMMZL5SLND · pith_short_8: MRDE3URM

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/MRDE3URMMZL5SLNDRTYNKK42S4 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 64464dd22c6657d92da38cf0d52b9a9718db5009e4b17a06e9597d367ef722b1

Canonical record JSON

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    "primary_cat": "cs.NE",
    "submitted_at": "2026-05-05T20:50:29Z",
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