Pith Number
pith:GMRPA43M
pith:2026:GMRPA43MFG7FCJS63QGNN64SQV
not attested
not anchored
not stored
refs pending
From Score Learning to Discretized Sampling: An End-to-End Generalization Analysis of Diffusion Models
arxiv:2607.23226 v1 · 2026-07-25 · cs.LG · math.ST · stat.TH
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GMRPA43MFG7FCJS63QGNN64SQV}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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.
Receipt and verification
| First computed | 2026-07-28T01:22:42.902521Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3322f0736c29be51265edc0cd6fb92857eb1140c3865ec89861a0cd4515f2264
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GMRPA43MFG7FCJS63QGNN64SQV \
| 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: 3322f0736c29be51265edc0cd6fb92857eb1140c3865ec89861a0cd4515f2264
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "13c007a828d54e8edb362196b9e9e0847d0bfd4eba3564e7ef81e877267acda1",
"cross_cats_sorted": [
"math.ST",
"stat.TH"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-07-25T14:24:38Z",
"title_canon_sha256": "087448b1bd6e15d9e43f3dd1ddb359443814d10a94d5747c1eb63de0f8390657"
},
"schema_version": "1.0",
"source": {
"id": "2607.23226",
"kind": "arxiv",
"version": 1
}
}