pith:E264CY2M
HyLaR: Hybrid Latent Reasoning with Decoupled Policy Optimization
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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\pithnumber{E264CY2MSQF4FZ7Q5HM4BUTW27}
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Record completeness
Claims
HyLaR outperforms standard MLLMs and state-of-the-art latent reasoning approaches across fine-grained perception and general multimodal understanding benchmarks.
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.
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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Receipt and verification
| 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
· · · · ·Agent API
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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