Pith Number
pith:FQXJUOO6
pith:2026:FQXJUOO6DML3RR5N7DEGEDBJWO
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Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling
arxiv:2607.06841 v1 · 2026-07-07 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FQXJUOO6DML3RR5N7DEGEDBJWO}
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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.
Receipt and verification
| First computed | 2026-07-09T00:19:30.753827Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c2e9a39de1b17b8c7adf8c8620c29b3b0ed5430eb05c34da5a2786fc285efad
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FQXJUOO6DML3RR5N7DEGEDBJWO \
| 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: 2c2e9a39de1b17b8c7adf8c8620c29b3b0ed5430eb05c34da5a2786fc285efad
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a32a829d8198abfa17495923d9d5f23ee9590fa020f57ac232731cefe1db4f30",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-07-07T22:24:10Z",
"title_canon_sha256": "214cd2500b8a75be882eee303e9bb05973aad6cd20e135b3f851e36ba26408cd"
},
"schema_version": "1.0",
"source": {
"id": "2607.06841",
"kind": "arxiv",
"version": 1
}
}