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pith:E264CY2M

pith:2026:E264CY2MSQF4FZ7Q5HM4BUTW27
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HyLaR: Hybrid Latent Reasoning with Decoupled Policy Optimization

Hao Zhang, Jinwen Luo, Shi-Zhe Chen, Tao Cheng, Yixin Qin, Zheng Wei

Hybrid latent reasoning interleaves discrete text generation with continuous visual states and optimizes the combination through decoupled policy learning.

arxiv:2604.20328 v2 · 2026-04-22 · cs.CV

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4 Citations open
5 Replications open
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Claims

C1strongest claim

HyLaR outperforms standard MLLMs and state-of-the-art latent reasoning approaches across fine-grained perception and general multimodal understanding benchmarks.

C2weakest assumption

The hybrid discrete-continuous action space can be effectively optimized via DePO with independent trust-region constraints and exact closed-form vMF KL regularizer without introducing instabilities or requiring extensive tuning.

C3one line summary

HyLaR with DePO enables effective RL in hybrid discrete-continuous spaces for multimodal models, outperforming prior MLLMs on perception and understanding benchmarks.

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First computed 2026-06-29T01:14:31.379176Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

26bdc1634c940bc2e7f0e9d9c0d276d7e521aced7b4b7990269fc89d627a8187

Aliases

arxiv: 2604.20328 · arxiv_version: 2604.20328v2 · doi: 10.48550/arxiv.2604.20328 · pith_short_12: E264CY2MSQF4 · pith_short_16: E264CY2MSQF4FZ7Q · pith_short_8: E264CY2M
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E264CY2MSQF4FZ7Q5HM4BUTW27 \
  | 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: 26bdc1634c940bc2e7f0e9d9c0d276d7e521aced7b4b7990269fc89d627a8187
Canonical record JSON
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    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-22T08:22:23Z",
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