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pith:2026:6CTORDBGSQC2CQJID6HT4K5JB2
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Drift-AR: Single-Step Visual Autoregressive Generation via Anti-Symmetric Drifting

Feng Zhao, Jie Huang, LinJiang Huang, Mingde Yao, Xiaoxiao Ma, Zhen Zou

Drift-AR uses per-position prediction entropy to drive both speculative AR drafting and anti-symmetric drift, achieving genuine single-step visual generation.

arxiv:2603.28049 v3 · 2026-03-30 · cs.CV

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Claims

C1strongest claim

Drift-AR leverages entropy signal to accelerate both stages... enabling single-step (1-NFE) decoding without iterative denoising or distillation... Experiments on MAR, TransDiff, and NextStep-1 demonstrate 3.8-5.5× speedup with genuine 1-NFE decoding, matching or surpassing original quality.

C2weakest assumption

The per-position prediction entropy of continuous-space AR models naturally encodes spatially varying generation uncertainty, which simultaneously governing draft prediction quality in the AR stage and reflecting the corrective effort required by vision decoding stage.

C3one line summary

Drift-AR achieves 3.8-5.5x speedup in AR-diffusion image models by using entropy to enable entropy-informed speculative decoding and single-step (1-NFE) anti-symmetric drifting decoding.

Receipt and verification
First computed 2026-06-30T02:17:19.488002Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f0a6e88c269405a141281f8f3e2ba90e92f56ed7fea29940606789346a829442

Aliases

arxiv: 2603.28049 · arxiv_version: 2603.28049v3 · doi: 10.48550/arxiv.2603.28049 · pith_short_12: 6CTORDBGSQC2 · pith_short_16: 6CTORDBGSQC2CQJI · pith_short_8: 6CTORDBG
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CTORDBGSQC2CQJID6HT4K5JB2 \
  | 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: f0a6e88c269405a141281f8f3e2ba90e92f56ed7fea29940606789346a829442
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-03-30T05:29:00Z",
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