pith:BWYUKDYC
Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning
CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks.
arxiv:2605.14876 v1 · 2026-05-14 · cs.CV · cs.AI
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\pithnumber{BWYUKDYCWLFAWWU5JTQXYQY5OB}
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Record completeness
Claims
CLVR outperforms existing open-source baselines across multiple benchmarks and approaches the performance of proprietary commercial models, unlocking general test-time scaling capabilities for complex visual generation.
The automated data engine with step-level visual verification can reliably synthesize reasoning trajectories that are free of planning hallucinations and representative of real user prompts.
CLVR couples verified logical planning with pixel diffusion, uses proxy reinforcement learning on distilled histories, and merges weights to cut inference to 4 NFEs while outperforming open-source T2I models on complex benchmarks.
Receipt and verification
| First computed | 2026-05-17T23:38:56.090166Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0db1450f02b2ca0b5a9d4ce17c431d7065930f1efb9a19aa193e7d19b3af9782
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BWYUKDYCWLFAWWU5JTQXYQY5OB \
| 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: 0db1450f02b2ca0b5a9d4ce17c431d7065930f1efb9a19aa193e7d19b3af9782
Canonical record JSON
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