Pith Number
pith:LRNF22HD
pith:2025:LRNF22HDHWULUTBJ6U7ECV5G6K
not attested
not anchored
not stored
refs pending
Generating Feasible and Diverse Synthetic Populations Using Diffusion Models
arxiv:2508.09164 v1 · 2025-08-06 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LRNF22HDHWULUTBJ6U7ECV5G6K}
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 | 2026-07-05T11:53:09.118928Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c5a5d68e33da8ba4c29f53e4157a6f2931adad8a2278ca279a44a1b06c535d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LRNF22HDHWULUTBJ6U7ECV5G6K \
| 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: 5c5a5d68e33da8ba4c29f53e4157a6f2931adad8a2278ca279a44a1b06c535d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c99a596c24b6482476c4cebb47c50906fbdf367263f5194d547f231b716e03bc",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-08-06T03:11:27Z",
"title_canon_sha256": "b772a204c68333b7651981344e0835db6d0baa05dd129d6c89f78321fb7e7d4f"
},
"schema_version": "1.0",
"source": {
"id": "2508.09164",
"kind": "arxiv",
"version": 1
}
}