Pith Number
pith:ZHOQZY6I
pith:2024:ZHOQZY6IVAFPVCWAZL3Q4NUSL4
not attested
not anchored
not stored
refs pending
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling
arxiv:2404.12940 v3 · 2024-04-19 · stat.ML · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZHOQZY6IVAFPVCWAZL3Q4NUSL4}
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
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claim
4
Citations
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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 | 2026-07-05T11:17:32.677262Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c9dd0ce3c8a80afa8ac0caf70e36925f2b15ababee93d3dd9c7e72a5190a3b8d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZHOQZY6IVAFPVCWAZL3Q4NUSL4 \
| 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: c9dd0ce3c8a80afa8ac0caf70e36925f2b15ababee93d3dd9c7e72a5190a3b8d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "77eae3f6bfedb33b6a9ce2fbc43b5f844d3c637470b6e9c207c43ad2763f4209",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-04-19T15:10:54Z",
"title_canon_sha256": "767807c4d53061eb49ebfaffb59e6005a0c46c6eda4858bf416409408960e408"
},
"schema_version": "1.0",
"source": {
"id": "2404.12940",
"kind": "arxiv",
"version": 3
}
}