pith:EWMYL7WV
The A-R Behavioral Space: Execution-Level Profiling of Tool-Using Language Model Agents in Organizational Deployment
Execution and refusal act as separable behavioral dimensions in tool-using language models, redistributing differently across risk contexts and autonomy levels.
arxiv:2604.12116 v2 · 2026-04-13 · cs.AI · cs.SE
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Claims
Empirical results show that execution and refusal constitute separable behavioral dimensions whose joint distribution varies systematically across regimes and autonomy levels. The A-R representation makes cross-sectional behavioral profiles, scaffold-induced transitions, and coordination variability directly observable.
That the four normative regimes (Control, Gray, Dilemma, Malicious) and three autonomy configurations (direct execution, planning, reflection) adequately represent relevant real-world organizational contexts and that the A-R metrics reliably capture meaningful, generalizable behavioral differences.
Execution and refusal in tool-using LLM agents form separable behavioral dimensions whose joint distribution shifts systematically with normative regimes and autonomy scaffolding.
Receipt and verification
| First computed | 2026-05-26T01:03:29.984481Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
259985fed572700b3673b5d8cbfc4aea00ba6b3578991a8a9372d23d56250de4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EWMYL7WVOJYAWNTTWXMMX7CK5I \
| 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: 259985fed572700b3673b5d8cbfc4aea00ba6b3578991a8a9372d23d56250de4
Canonical record JSON
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