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pith:MWPN56BT

pith:2026:MWPN56BTMJAFJ4JQUUUH35EGFD
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Effect-Transparent Governance for AI Workflow Architectures: Semantic Preservation, Expressive Minimality, and Decidability Boundaries

Alan L. McCann

Effect-level governance can be imposed on AI workflow architectures without reducing their internal computational expressivity or changing permitted behaviors.

arxiv:2605.01030 v3 · 2026-05-01 · cs.AI · cs.LO · cs.PL

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\pithnumber{MWPN56BTMJAFJ4JQUUUH35EGFD}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

effect-level governance can be imposed without reducing internal computational expressivity... semantic transparency: on all executions where governance permits, the governed interpretation is observationally equivalent (modulo governance-only events) to the ungoverned interpretation.

C2weakest assumption

That the Interaction Trees model with the defined governance operator G accurately captures all relevant effectful behaviors of real AI workflow architectures, including oracle queries, and that the operator mediates every effect without omission.

C3one line summary

A Rocq formalization of 12,000 lines proves that effect governance in AI workflows preserves Turing completeness, expressivity, and observational equivalence to ungoverned executions.

Receipt and verification
First computed 2026-05-27T01:05:55.521775Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

659edef833624054f130a5287df48628ea033924e5f72d11418b636322208f83

Aliases

arxiv: 2605.01030 · arxiv_version: 2605.01030v3 · doi: 10.48550/arxiv.2605.01030 · pith_short_12: MWPN56BTMJAF · pith_short_16: MWPN56BTMJAFJ4JQ · pith_short_8: MWPN56BT
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MWPN56BTMJAFJ4JQUUUH35EGFD \
  | 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: 659edef833624054f130a5287df48628ea033924e5f72d11418b636322208f83
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-01T18:52:47Z",
    "title_canon_sha256": "e30a1dd55300f8b8a7790e84b87e40f416dd23a74626c5256542f415fafd1f7a"
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