pith:43K5LMY3
Diffusion Crossover: Defining Evolutionary Recombination in Diffusion Models via Noise Sequence Interpolation
Diffusion models support evolutionary crossover by applying spherical interpolation to parent noise sequences in the reverse process.
arxiv:2604.14790 v2 · 2026-04-16 · cs.AI
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Claims
By applying spherical linear interpolation (Slerp) to the noise sequences associated with selected parent images, the proposed method generates offspring that inherit characteristics from both parents while preserving the geometric structure of the diffusion process.
That step-wise interpolation of noise sequences in the DDPM reverse process produces offspring images that are semantically meaningful and useful for evolutionary recombination, rather than arbitrary blends that fail to preserve parental traits in a controllable way.
Diffusion crossover formulates evolutionary recombination as step-wise spherical linear interpolation of noise sequences in the DDPM reverse process to generate semantically consistent offspring from parent images.
Receipt and verification
| First computed | 2026-07-01T01:17:50.536027Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/43K5LMY3ARM55JOIZSZVI32VBG \
| 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: e6d5d5b31b0459dea5c8ccb3546f55099d5e90920e28eef1bc7662e912d4deeb
Canonical record JSON
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