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pith:ZARD27V7

pith:2026:ZARD27V76RNBZ5IFD7F5FHBUYV
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MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction

Dohyeok Lee, Jin Woo Koo, Jung Min Lee, Jungwoo Lee, Li Zhao, Sangwoo Hong, Seokhun Ju, Taehyun Cho

Cross-viewpoint reconstruction trains latent actions to capture underlying robot actions rather than camera-specific details.

arxiv:2602.03668 v3 · 2026-02-03 · cs.RO · cs.CV

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Claims

C1strongest claim

MVP-LAM produces more action-centric latent actions, achieving higher mutual information with ground-truth actions and improved action prediction, including under out-of-distribution evaluation. Finally, pretraining VLAs with MVP-LAM latent actions improves downstream manipulation performance on various benchmarks.

C2weakest assumption

That forcing a latent action from one viewpoint to explain the future in another viewpoint will make the latent action contain information about the underlying ground-truth actions rather than viewpoint-specific cues.

C3one line summary

MVP-LAM learns action-centric latent actions from multi-view videos via cross-viewpoint reconstruction, yielding higher mutual information with ground-truth actions and improved downstream VLA manipulation performance.

Formal links

2 machine-checked theorem links

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1 paper in Pith

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First computed 2026-05-28T01:04:36.264068Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

c8223d7ebff45a1cf5051fcbd29c34c55f934fd57294adb660f11ef5352b8c3b

Aliases

arxiv: 2602.03668 · arxiv_version: 2602.03668v3 · doi: 10.48550/arxiv.2602.03668 · pith_short_12: ZARD27V76RNB · pith_short_16: ZARD27V76RNBZ5IF · pith_short_8: ZARD27V7
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZARD27V76RNBZ5IFD7F5FHBUYV \
  | 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: c8223d7ebff45a1cf5051fcbd29c34c55f934fd57294adb660f11ef5352b8c3b
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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