pith:RVMQBTV6
Decidable By Construction: Design-Time Verification for Trustworthy AI
AI model properties for stability and correctness reduce to decidable constraints over abelian groups, allowing verification before training.
arxiv:2603.25414 v4 · 2026-03-26 · cs.PL · cs.AI · cs.LG · cs.LO
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\usepackage{pith}
\pithnumber{RVMQBTV6EA262AXV3Y3OTTMIYI}
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Record completeness
Claims
Hindley-Milner unification over abelian groups computes the maximum a posteriori hypothesis under a computable restriction of Solomonoff's universal prior, placing the framework's type inference on the same formal ground as universal induction.
That the properties determining numerical stability, computational correctness, and physical consistency in AI models are expressible as constraints over finitely generated abelian groups Z^n where inference is decidable in polynomial time and the principal type is unique.
A type system over finitely generated abelian groups enables design-time verification of AI model properties and links Hindley-Milner unification to a restriction of Solomonoff's universal prior.
Receipt and verification
| First computed | 2026-06-19T16:09:57.343028Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8d5900cebe2035ed02f5de36e9cd88c228122a9d70632979e062f2e9ba5ba700
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RVMQBTV6EA262AXV3Y3OTTMIYI \
| 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: 8d5900cebe2035ed02f5de36e9cd88c228122a9d70632979e062f2e9ba5ba700
Canonical record JSON
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