pith:MV7R2XHP
Efficient Diffusion Models under Nonconvex Equality and Inequality constraints via Landing
A landing mechanism enables efficient diffusion models on nonconvex sets by replacing costly projections with a single-step correction.
arxiv:2604.17838 v2 · 2026-04-20 · cs.LG · stat.CO · stat.ML
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\usepackage{pith}
\pithnumber{MV7R2XHPBRNWD4BYJEF5XHYQHB}
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Record completeness
Claims
A key algorithmic innovation is a computationally efficient landing mechanism that replaces costly and often ill-defined projections onto Σ, ensuring feasibility without iterative Newton solves or projection failures.
The landing mechanism works for generic nonconvex feasible sets Σ and preserves the correct diffusion dynamics without introducing bias or instability.
A landing algorithm lets diffusion models sample from nonconvex constrained sets using underdamped dynamics without repeated projections or Newton solves.
Receipt and verification
| First computed | 2026-06-02T01:04:16.308244Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
657f1d5cef0c5b61f038490bdb9f103862a4d17183979ecb862ab8a693e536e7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MV7R2XHPBRNWD4BYJEF5XHYQHB \
| 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: 657f1d5cef0c5b61f038490bdb9f103862a4d17183979ecb862ab8a693e536e7
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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