Pith Number

pith:KFXNL6PJ

pith:2023:KFXNL6PJWMKILKODCFJDE6WQYF

not attested not anchored not stored refs pending

Using Ornstein-Uhlenbeck Process to understand Denoising Diffusion Probabilistic Model and its Noise Schedules

Javier E. Santos, Yen Ting Lin

arxiv:2311.17673 v1 · 2023-11-29 · stat.ML · cond-mat.stat-mech · cs.AI · cs.LG · math-ph · math.MP

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{KFXNL6PJWMKILKODCFJDE6WQYF}

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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.

Cited by

1 paper in Pith

Wasserstein bounds for denoising diffusion probabilistic models via the F\"ollmer process

Receipt and verification

First computed	2026-07-05T07:18:17.218991Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

516ed5f9e9b31485a9c31152327ad0c15166b76669d15ed8a7a7c8a408436136

Aliases

arxiv: 2311.17673 · arxiv_version: 2311.17673v1 · doi: 10.48550/arxiv.2311.17673 · pith_short_12: KFXNL6PJWMKI · pith_short_16: KFXNL6PJWMKILKOD · pith_short_8: KFXNL6PJ

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/KFXNL6PJWMKILKODCFJDE6WQYF \
  | 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: 516ed5f9e9b31485a9c31152327ad0c15166b76669d15ed8a7a7c8a408436136

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "95e1eab3b26bc04e6bd3aa5c4a449cfcc353817c057893d4e7a72d3314544b75",
    "cross_cats_sorted": [
      "cond-mat.stat-mech",
      "cs.AI",
      "cs.LG",
      "math-ph",
      "math.MP"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2023-11-29T14:36:33Z",
    "title_canon_sha256": "70c3778a2c6fe2614eab6931af512d1df04e8481a32a0235df4f42157519cad2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2311.17673",
    "kind": "arxiv",
    "version": 1
  }
}