Pith Number

pith:GVDWEMF3

pith:2025:GVDWEMF37PXPHBCPQYLF4CMVGD

not attested not anchored not stored refs pending

NoiseAR: AutoRegressing Initial Noise Prior for Diffusion Models

Heung-Yeung Shum, Ping Tan, Xiangyue Liu, Xiangyu Zhang, Zeming Li

arxiv:2506.01337 v1 · 2025-06-02 · cs.LG · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{GVDWEMF37PXPHBCPQYLF4CMVGD}

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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

2 papers in Pith

Can We Predict The Human Preference For Text-to-Image Content Prior To Generation And Is It Even Useful To Do So?

LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling

Receipt and verification

First computed	2026-07-05T11:14:11.934482Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

35476230bbfbeef3844f86165e099530fd4a56057b6a0fd5bd71896c02ad2286

Aliases

arxiv: 2506.01337 · arxiv_version: 2506.01337v1 · doi: 10.48550/arxiv.2506.01337 · pith_short_12: GVDWEMF37PXP · pith_short_16: GVDWEMF37PXPHBCP · pith_short_8: GVDWEMF3

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/GVDWEMF37PXPHBCPQYLF4CMVGD \
  | 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: 35476230bbfbeef3844f86165e099530fd4a56057b6a0fd5bd71896c02ad2286

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "db9cebefc645f821474838c48998210280531f09d0bbc00421ff1addef792f7a",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-06-02T05:32:35Z",
    "title_canon_sha256": "e0d1d0d1c2deac6dedca1f314c07bf6659266508fbf12d57ef9973633917d055"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2506.01337",
    "kind": "arxiv",
    "version": 1
  }
}