Pith Number

pith:SO5DGOG4

pith:2026:SO5DGOG4FZHZVELR2HDCYMVAE2

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Beyond Text Prompts: Visual-to-Visual Generation as A Unified Paradigm

Haoxuan Che, Jean-Michel Morel, Kangning Cui, Meng Chu, Raymond H. Chan, Rui Liu, Suiyun Zhang, Xiaodong Cun, Yaofang Liu, Zhaoqing Li

Visual specification pages replace text prompts in frozen generators without any retraining.

arxiv:2605.12271 v2 · 2026-05-12 · cs.CV

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\usepackage{pith}
\pithnumber{SO5DGOG4FZHZVELR2HDCYMVAE2}

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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

V2V-Zero reaches 0.85 on GenEval with a frozen Qwen-Image backbone, closely matching its optimized text-to-image performance without fine-tuning, and scores 32.7/100 on Simple-V2V Bench while a video extension scores 20.2/100.

C2weakest assumption

The frozen VLM already maps both text and images into the generator's conditioning space so that final-layer hidden states from visual pages can replace text conditioning without any fine-tuning or architectural changes.

C3one line summary

V2V-Zero adapts frozen VLMs for visual conditioning via hidden states from specification pages, scoring 0.85 on GenEval and 32.7 on a new seven-task benchmark while revealing capability hierarchies in attribute binding and structural control.

Receipt and verification

First computed	2026-05-27T01:05:57.095844Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

93ba3338dc2e4f9a9171d1c62c32a026ab7bbbe62a5b8d8539784346a9f5748c

Aliases

arxiv: 2605.12271 · arxiv_version: 2605.12271v2 · doi: 10.48550/arxiv.2605.12271 · pith_short_12: SO5DGOG4FZHZ · pith_short_16: SO5DGOG4FZHZVELR · pith_short_8: SO5DGOG4

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SO5DGOG4FZHZVELR2HDCYMVAE2 \
  | 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: 93ba3338dc2e4f9a9171d1c62c32a026ab7bbbe62a5b8d8539784346a9f5748c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c0e33f53768481e2eedf292a036100c81e7148492ac9c18095e105d126df48e6",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-12T15:35:34Z",
    "title_canon_sha256": "39c3e977f8fa68dc787afc434839e9eba9fd09d849d59fa67a1a2ebd616fd377"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12271",
    "kind": "arxiv",
    "version": 2
  }
}