pith:2CMPZYAL
Continuum-marginal optimal transport: a mesh-free kernel method
A reproducing kernel Hilbert space embedding of the weak continuity equation yields a sample-only objective for recovering minimum-energy velocity fields that match a continuum of probability marginals.
arxiv:2604.24226 v2 · 2026-04-27 · math.OC · cs.NA · math.NA · stat.ML
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\pithnumber{2CMPZYAL5GI652OFBDTWOJ22SR}
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Claims
The weak continuity equation is embedded in a reproducing kernel Hilbert space, yielding a sample-only objective that requires no spatial discretization. The velocity is parametrized by any linear-in-parameters dictionary or neural network, and is optimized by mini-batch stochastic methods. Synthetic experiments confirm that the method achieves accurate drift recovery and marginal consistency.
That embedding the weak continuity equation in an RKHS produces an objective whose minimizer recovers the true velocity field from finite samples without additional regularization or post-hoc corrections.
A reproducing kernel Hilbert space embedding yields a sample-only objective for solving continuum-marginal optimal transport without spatial discretization.
Receipt and verification
| First computed | 2026-06-03T01:05:14.040404Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d098fce00be991eee9c508e767275a944613f532112459d0d6a324a23270a213
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2CMPZYAL5GI652OFBDTWOJ22SR \
| 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: d098fce00be991eee9c508e767275a944613f532112459d0d6a324a23270a213
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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"submitted_at": "2026-04-27T09:33:52Z",
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