Pith Number

pith:4SUIERWF

pith:2026:4SUIERWFYL775XRWISTTDESPK3

not attested not anchored not stored refs pending

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows

Ay\c{c}a Duran, Bernd Bickel, Janne Perini, Michael A. Kraus, Moab Arar, Rafael Bischof, Siddhartha Mishra

A repurposed video diffusion model acts as a fast differentiable surrogate for urban wind flow simulations and enables direct gradient-based optimization of building positions.

arxiv:2603.21210 v3 · 2026-03-22 · cs.LG · cs.CE

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{4SUIERWFYL775XRWISTTDESPK3}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The resulting model generates full 112-frame rollouts in under a second. As the surrogate is end-to-end differentiable, it doubles as a physics simulator for gradient-based inverse optimization: given an urban footprint layout, we optimize building positions directly through backpropagation to improve wind safety as well as pedestrian wind comfort.

C2weakest assumption

That fine-tuning a general video diffusion model on 10,000 procedurally generated 2D incompressible CFD cases produces a surrogate whose predictions remain accurate enough for gradient-based optimization on real urban layouts without introducing systematic biases that would invalidate the discovered optima.

C3one line summary

WinDiNet repurposes a 2B-parameter video diffusion model as a differentiable surrogate that generates 112-frame urban wind flow rollouts in under one second and enables direct gradient optimization of building positions.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-07-01T01:17:49.425263Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e4a88246c5c2fffede3644a731924f56f270b555a83c333bdbe227ad4c3ec11d

Aliases

arxiv: 2603.21210 · arxiv_version: 2603.21210v3 · doi: 10.48550/arxiv.2603.21210 · pith_short_12: 4SUIERWFYL77 · pith_short_16: 4SUIERWFYL775XRW · pith_short_8: 4SUIERWF

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4SUIERWFYL775XRWISTTDESPK3 \
  | 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: e4a88246c5c2fffede3644a731924f56f270b555a83c333bdbe227ad4c3ec11d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "edd470dbdf421844e60ca027574b0041bcad269b4ac8f18d650fd0c962c513d3",
    "cross_cats_sorted": [
      "cs.CE"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-03-22T13:08:01Z",
    "title_canon_sha256": "76e60026cc96d95e0c0bacf8bf2209b655db76101c45cae266a5fffc417a0733"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.21210",
    "kind": "arxiv",
    "version": 3
  }
}