Pith Number

pith:GE2DIR2Q

pith:2026:GE2DIR2QLUPWAXS56AQ3PMYF6M

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Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners

Bingjie Gao, Canmiao Fu, Chen Li, Feng Wang, Jiangtong Li, Keming Ye, Li Niu, Qingyang Liu, Shaobo Wang, Shuochen Chang, Yali Wang, Zhipeng Huang

Unified multimodal models learn to switch autonomously between direct generation, reflection, and planning to close the understanding-generation gap in image tasks.

arxiv:2605.14709 v1 · 2026-05-14 · cs.CV

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\pithnumber{GE2DIR2QLUPWAXS56AQ3PMYF6M}

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

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✓ Portable graph bundle live · download bundle · merged state

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

our method outperforms existing baselines on X2I, achieving superior generation fidelity among simple-to-complex instructions.

C2weakest assumption

The constructed hierarchical data pipeline and designed step-wise rewards plus complexity penalty will enable effective autonomous mode switching without creating new bottlenecks or overfitting to the new dataset.

C3one line summary

Unified multimodal models gain self-adaptive modes (direct generation, self-reflection, multi-step planning) trained via SFT and RL with step-wise rewards to close the understanding-generation gap in anything-to-image tasks.

References

36 extracted · 36 resolved · 0 Pith anchors

[1] Thinking-while-generating: Interleaving tex- tual reasoning throughout visual generation.arXiv preprint arXiv:2511.16671, 2025 2026

[4] Your Objective: Evaluate how faithfully the Generated Image (Y) fulfills the **Instruction**, focusing on whether the requested changes or additions were executed correctly

[5] **Detect Change**: What has been added, modified, or created in Y compared to X? (If X is Text-only, evaluate Y directly against the text)

[6] **Expected Visual Caption**: Describe the ideal result if the instruction were perfectly followed

[7] **Instruction Match**: - Was the correct subject/attribute modified or created? - For **Spatial/Size** changes: Is the placement or scale correct relative to the instruction? - For **Subject-driven**

Receipt and verification

First computed	2026-05-17T23:38:59.234134Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

31343447505d1f605e5df021b7b305f3025e339a2b83095c51f7828270feb58b

Aliases

arxiv: 2605.14709 · arxiv_version: 2605.14709v1 · doi: 10.48550/arxiv.2605.14709 · pith_short_12: GE2DIR2QLUPW · pith_short_16: GE2DIR2QLUPWAXS5 · pith_short_8: GE2DIR2Q

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GE2DIR2QLUPWAXS56AQ3PMYF6M \
  | 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: 31343447505d1f605e5df021b7b305f3025e339a2b83095c51f7828270feb58b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d56fe6ecb3a8caf23fc7cfd2ce12e7db1133bbd87c3d8c74c283c9ad2a5c5af5",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T11:27:46Z",
    "title_canon_sha256": "3f9da7b42bbb9de9deeb4fe6777ad1d8822702621470cbc499065b556526684c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14709",
    "kind": "arxiv",
    "version": 1
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}