Pith Number
pith:5BWNE4GU
pith:2026:5BWNE4GUZTEWCW5E6J6LMNO7F2
not attested
not anchored
not stored
refs pending
Latent Laplace Diffusion for Irregular Multivariate Time Series
arxiv:2605.19805 v1 · 2026-05-19 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5BWNE4GUZTEWCW5E6J6LMNO7F2}
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 | 2026-05-20T01:06:15.417851Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e86cd270d4ccc9615ba4f27cb635df2eacabc2f84cb120929b133a0f1e6cfbac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5BWNE4GUZTEWCW5E6J6LMNO7F2 \
| 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: e86cd270d4ccc9615ba4f27cb635df2eacabc2f84cb120929b133a0f1e6cfbac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5db8304f6ddf9c60210d54f7c1b0ad41b34383e4e9b6b92aef0c867ef8bf5be3",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-19T13:04:53Z",
"title_canon_sha256": "b3abc8522e908177694f2564545a58ea82798f3b5219ebb5fdaa405e6a542a98"
},
"schema_version": "1.0",
"source": {
"id": "2605.19805",
"kind": "arxiv",
"version": 1
}
}