pith:J276MSRK
SDOF: Taming the Alignment Tax in Multi-Agent Orchestration with State-Constrained Dispatch
SDOF models multi-agent orchestration as a constrained state machine to let a 7B router beat zero-shot GPT-4o on adversarial routing while blocking all illegal operations.
arxiv:2605.15204 v1 · 2026-04-20 · cs.AI
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\pithnumber{J276MSRKZYZD4E7PELII3T7AEU}
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Claims
Our GSPO-aligned 7B Intent Router achieves higher joint accuracy than zero-shot GPT-4o on this FSM-constrained adversarial routing benchmark (80.9% versus 48.9%). In end-to-end execution, SDOF reaches 86.5% task completion and blocks all 22 operations in the injection, illegal HR subset.
The expert-curated 185 scenarios and the Beisen iTalent platform data accurately represent general multi-agent orchestration challenges and that the GoalStage finite-automaton mapping faithfully captures real business process constraints without missing edge cases.
SDOF combines an RLHF-trained intent router with a state-aware dispatcher using finite automata to constrain multi-agent orchestration, reporting 80.9% routing accuracy and 86.5% task completion on a recruitment platform while blocking unsafe actions.
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Receipt and verification
| First computed | 2026-05-20T00:00:45.900309Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4ebfe64a2ace323e13ef22d08dcfe0253f2625ccb9655806abfe5d41eedbda61
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J276MSRKZYZD4E7PELII3T7AEU \
| 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: 4ebfe64a2ace323e13ef22d08dcfe0253f2625ccb9655806abfe5d41eedbda61
Canonical record JSON
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