pith:OIF6UNGO
Governed Metaprogramming for Intelligent Systems: Reclassifying Eval as a Governed Effect
In AI systems that generate executable code at runtime, eval must be reclassified from an unrestricted primitive into a governed effect subject to inspection.
arxiv:2605.05248 v3 · 2026-05-05 · cs.PL · cs.AI
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\pithnumber{OIF6UNGO73BXWFVVXLQAZ6VM2H}
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Record completeness
Claims
The central contribution is reclassifying eval from a language primitive into a governed effect.
That a governance system can reliably analyze capability requirements, policy compliance, and resource estimates for arbitrary generated programs in a way that prevents bypasses while remaining practical.
Reclassifies eval as a governed effect via governed metaprogramming, with formal judgments, three proven properties, and an implementation in MashinTalk integrated with Rocq theorems.
Formal links
Receipt and verification
| First computed | 2026-05-22T01:04:04.539392Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
720bea34cefec37b16b5bae00cfaacd1c2a168278d7588a7bdbe11da42c9649b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OIF6UNGO73BXWFVVXLQAZ6VM2H \
| 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: 720bea34cefec37b16b5bae00cfaacd1c2a168278d7588a7bdbe11da42c9649b
Canonical record JSON
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