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pith:2026:LTWHYP5BK3AXMP4XSVVRIRNI6Q
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Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents

Chenxin Li, Guanting Dong, Hangyu Guo, Hongru Wang, Junting Lu, Shijue Huang, Shuang Chen, Xinyu Geng, Yi R. Fung, Zhaochen Su, Zhenyu Li

On-policy data evolution from agent rollouts boosts multimodal deep search performance from 24.9% to 39% on average.

arxiv:2605.10832 v2 · 2026-05-11 · cs.CL

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Claims

C1strongest claim

Across 8 multimodal deep search benchmarks, ODE improves the Qwen3-VL-8B agent from 24.9% to 39.0% on average, surpassing Gemini-2.5 Pro in standard agent-workflow setting (37.9%). At 30B, ODE raises the average score from 30.6% to 41.5%.

C2weakest assumption

That rollouts from the current policy produce training data that accurately identifies and fills the precise capability gaps without introducing self-reinforcing biases or training instability.

C3one line summary

A new image-bank harness and closed-loop on-policy data evolution method raises multimodal agent performance on visual search benchmarks from 24.9% to 39.0% for an 8B model and from 30.6% to 41.5% for a 30B model.

Receipt and verification
First computed 2026-06-08T01:04:07.308478Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5cec7c3fa156c1763f97956b1445a8f42f43b136365004d76ce88b6d7247b0c5

Aliases

arxiv: 2605.10832 · arxiv_version: 2605.10832v2 · doi: 10.48550/arxiv.2605.10832 · pith_short_12: LTWHYP5BK3AX · pith_short_16: LTWHYP5BK3AXMP4X · pith_short_8: LTWHYP5B
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/LTWHYP5BK3AXMP4XSVVRIRNI6Q \
  | 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: 5cec7c3fa156c1763f97956b1445a8f42f43b136365004d76ce88b6d7247b0c5
Canonical record JSON
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