Pith Number
pith:IM33SWLX
pith:2025:IM33SWLX5JNRQFPHTSRWKINJMA
not attested
not anchored
not stored
refs pending
Modeling Spatial Extremes using Non-Gaussian Spatial Autoregressive Models via Convolutional Neural Networks
arxiv:2505.03034 v1 · 2025-05-05 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IM33SWLX5JNRQFPHTSRWKINJMA}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:58:51.534405Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4337b95977ea5b1815e79ca36521a960030c90e378b6a4b04b506243618cf274
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IM33SWLX5JNRQFPHTSRWKINJMA \
| 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: 4337b95977ea5b1815e79ca36521a960030c90e378b6a4b04b506243618cf274
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ed6d161514ebb8b2088763f08b11b34ecf633421e9c8fd87eb1db2fd565b75e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2025-05-05T21:26:02Z",
"title_canon_sha256": "2d731d6c70cccb919a983fe81bd5af71b06463e0cd0bdfde931d8956bce763a5"
},
"schema_version": "1.0",
"source": {
"id": "2505.03034",
"kind": "arxiv",
"version": 1
}
}