Pith Number
pith:4ZI5H6IB
pith:2024:4ZI5H6IB3HV56VVFYJDCWINYI4
not attested
not anchored
not stored
refs pending
The Unreasonable Effectiveness of Gaussian Score Approximation for Diffusion Models and its Applications
arxiv:2412.09726 v1 · 2024-12-12 · cs.LG · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4ZI5H6IB3HV56VVFYJDCWINYI4}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T09:48:40.572329Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e651d3f901d9ebdf56a5c2462b21b8472709d4f29e712447614ddbcd67dfcef2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4ZI5H6IB3HV56VVFYJDCWINYI4 \
| 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: e651d3f901d9ebdf56a5c2462b21b8472709d4f29e712447614ddbcd67dfcef2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e675cba7ebb0fbd3c1701dac380a431fb1d2e05bd3a044395d92cde23912584b",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-12T21:31:27Z",
"title_canon_sha256": "7814d561715de3877815dae02ff86ca4582d21f11122f414fc3166c6b7c72984"
},
"schema_version": "1.0",
"source": {
"id": "2412.09726",
"kind": "arxiv",
"version": 1
}
}