Pith Number
pith:3M7YXHRJ
pith:2024:3M7YXHRJM4HQZYGDPQU5RFG3RN
not attested
not anchored
not stored
refs pending
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
arxiv:2410.14488 v1 · 2024-10-18 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3M7YXHRJM4HQZYGDPQU5RFG3RN}
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 | 2026-07-05T09:22:33.105369Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
db3f8b9e29670f0ce0c37c29d894db8b48cc9c1c4d47c58ba748e4a82e9536cd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3M7YXHRJM4HQZYGDPQU5RFG3RN \
| 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: db3f8b9e29670f0ce0c37c29d894db8b48cc9c1c4d47c58ba748e4a82e9536cd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d5e31720d20cf165090dbd7c497abf7d12b7c5c20eec3139e48fba410e510dd4",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-18T14:16:54Z",
"title_canon_sha256": "ae90c02089edc322e1932a4ff92c525bef00f9c83a88931b80e8fbe7a6d78352"
},
"schema_version": "1.0",
"source": {
"id": "2410.14488",
"kind": "arxiv",
"version": 1
}
}