Pith Number
pith:JTLL3UVJ
pith:2025:JTLL3UVJ6P5DCKIDTH3DHRYMM2
not attested
not anchored
not stored
refs pending
Denoising Diffused Embeddings: a Generative Approach for Hypergraphs
arxiv:2501.01541 v2 · 2025-01-02 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JTLL3UVJ6P5DCKIDTH3DHRYMM2}
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 | 2026-05-18T03:09:46.245440Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4cd6bdd2a9f3fa31290399f633c70c66b11dd9b3f63f6821b7585bf3208a5dd0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JTLL3UVJ6P5DCKIDTH3DHRYMM2 \
| 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: 4cd6bdd2a9f3fa31290399f633c70c66b11dd9b3f63f6821b7585bf3208a5dd0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4d9ff4a212dda864d83aa1ab24ca086a5957d9741812e764cfb5936f052d446f",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-01-02T21:16:32Z",
"title_canon_sha256": "116819b4913072889d93eba08b3a5eccabe3bf3d426331a75cfe313810fb9758"
},
"schema_version": "1.0",
"source": {
"id": "2501.01541",
"kind": "arxiv",
"version": 2
}
}