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Pith Number

pith:GHJDZU6C

pith:2026:GHJDZU6CXRSJTIVU2SSMK4PHIV
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Test-Time Training for Visual Foresight Vision-Language-Action Models

Chanyoung Park, Hongseok Kang, Sangwu Park, Sein Kim, Wonjoong Kim, Yeonjun In

Test-time training on predicted future images and real observations lets visual foresight VLA models adapt to out-of-distribution shifts without any architecture changes.

arxiv:2605.08215 v2 · 2026-05-06 · cs.CV · cs.LG · cs.RO

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\usepackage{pith}
\pithnumber{GHJDZU6CXRSJTIVU2SSMK4PHIV}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Empirically, T³VF mitigates the OOD vulnerability of VF-VLA at a modest additional inference cost, without requiring any architectural modification or auxiliary modules.

C2weakest assumption

That the predicted future image and its subsequent real observation form a reliable, low-noise supervision signal even under OOD shifts, and that the adaptive update filter can consistently separate useful from harmful updates without additional labeled data or validation.

C3one line summary

T³VF applies test-time training with adaptive filtering to reduce OOD failures in VF-VLA models by treating predicted future images and actual next observations as natural training pairs.

Receipt and verification
First computed 2026-06-05T01:14:40.292163Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

31d23cd3c2bc6499a2b4d4a4c571e745624a15b761741a5359e1e03a0debbef2

Aliases

arxiv: 2605.08215 · arxiv_version: 2605.08215v2 · doi: 10.48550/arxiv.2605.08215 · pith_short_12: GHJDZU6CXRSJ · pith_short_16: GHJDZU6CXRSJTIVU · pith_short_8: GHJDZU6C
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GHJDZU6CXRSJTIVU2SSMK4PHIV \
  | 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: 31d23cd3c2bc6499a2b4d4a4c571e745624a15b761741a5359e1e03a0debbef2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "896e3a1d2333f6cc575dac8d20f969d70690dd812406fef9a5abfbb5c8eff41c",
    "cross_cats_sorted": [
      "cs.LG",
      "cs.RO"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-06T11:21:25Z",
    "title_canon_sha256": "bda610f8b6f7851fc2804eca9f7bbc1bf041355f6a11adbfdd6d8b483488e6cb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.08215",
    "kind": "arxiv",
    "version": 2
  }
}