pith:VSKU2LRX
GuidedVLA: Specifying Task-Relevant Factors via Plug-and-Play Action Attention Specialization
GuidedVLA improves robot task success by manually guiding individual attention heads in the action decoder to focus on specific task-relevant factors.
arxiv:2605.12369 v2 · 2026-05-12 · cs.RO
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Record completeness
Claims
Across simulation and real-robot experiments, GuidedVLA improves success rates in both in-domain and out-of-domain settings compared to strong VLA baselines.
Manually defined auxiliary signals can be supplied to individual attention heads so that they capture distinct task-relevant factors without the heads interfering with one another or with the main action objective.
GuidedVLA improves VLA success rates by manually supervising separate attention heads in the action decoder with auxiliary signals for task-relevant factors.
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Receipt and verification
| First computed | 2026-06-02T02:04:53.897951Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac954d2e3706c3e935fed7d19be7a35d1c4b1f6a9f616f354578042ac19a645e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VSKU2LRXA3B6SNP627IZXZ5DLU \
| 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: ac954d2e3706c3e935fed7d19be7a35d1c4b1f6a9f616f354578042ac19a645e
Canonical record JSON
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