pith:6DCA44FP
Sentinel-VLA: A Metacognitive VLA Model with Active Status Monitoring for Dynamic Reasoning and Error Recovery
Sentinel-VLA equips VLA models with an active sentinel module that monitors execution status and triggers reasoning or error recovery only when needed, delivering over 30% higher real-world task success.
arxiv:2605.01191 v2 · 2026-05-02 · cs.RO
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Claims
Real-world experiments demonstrate that Sentinel-VLA boosts the task success rate by over 30% compared to the SOTA model, PI0.
The automatically generated and annotated training data (44 tasks, 2.6 million transitions) faithfully captures the distribution of real-world execution errors and recovery opportunities without introducing systematic biases from the generation pipeline.
Sentinel-VLA introduces a metacognitive VLA model with a sentinel module for real-time status monitoring, dynamic reasoning, and error recovery, plus a self-evolving continual learning method, raising real-world task success by over 30% versus prior SOTA.
Receipt and verification
| First computed | 2026-05-29T01:05:11.315809Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0c40e70afa9681178b7c3890fd66d01ac4cd8eb12d4542d1f543afcf0fb8e02
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6DCA44FPVFUBC6FXYOEQ7VTNAG \
| 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: f0c40e70afa9681178b7c3890fd66d01ac4cd8eb12d4542d1f543afcf0fb8e02
Canonical record JSON
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