Pith Number
pith:TIPMJQ6V
pith:2026:TIPMJQ6VEOZ57IGP4QHYLRFHDL
not attested
not anchored
not stored
refs pending
A Gaussian Perspective for Distributional Discrepancy in Generative Diffusion Models
arxiv:2601.13602 v3 · 2026-01-20 · cs.IT · cs.LG · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TIPMJQ6VEOZ57IGP4QHYLRFHDL}
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.
Receipt and verification
| First computed | 2026-06-29T01:15:03.900367Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9a1ec4c3d523b3dfa0cfe40f85c4a71ad42871995e2ee4f00b79b865a477b28b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TIPMJQ6VEOZ57IGP4QHYLRFHDL \
| 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: 9a1ec4c3d523b3dfa0cfe40f85c4a71ad42871995e2ee4f00b79b865a477b28b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7e91d618b61fffd3e143f015bb223ae139b16ee075e337dcbc8412521a580c6f",
"cross_cats_sorted": [
"cs.LG",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2026-01-20T05:06:26Z",
"title_canon_sha256": "c708954f097853fb3ff2707d3d22cf237eab15e53ecfeca18d592d61060b768f"
},
"schema_version": "1.0",
"source": {
"id": "2601.13602",
"kind": "arxiv",
"version": 3
}
}