Pith Number
pith:LI3NFHWL
pith:2021:LI3NFHWLSAHDY7CLBHO64354JP
not attested
not anchored
not stored
refs pending
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
arxiv:2106.11609 v2 · 2021-06-22 · cs.LG · math.DS · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LI3NFHWLSAHDY7CLBHO64354JP}
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 | 2026-07-05T03:22:58.194295Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5a36d29ecb900e3c7c4b09ddee6fbc4bd76c5148ce2828f6470892e88d80ea07
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LI3NFHWLSAHDY7CLBHO64354JP \
| 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: 5a36d29ecb900e3c7c4b09ddee6fbc4bd76c5148ce2828f6470892e88d80ea07
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "04d5dd6f40b6b12db50566c691e27575c8516bb2e6f0ad2189cec3cf3404bbf0",
"cross_cats_sorted": [
"math.DS",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-22T08:40:51Z",
"title_canon_sha256": "fd17917a0be4512e5f40692291d6680c4de823ccd688b5c2228cea652cb798db"
},
"schema_version": "1.0",
"source": {
"id": "2106.11609",
"kind": "arxiv",
"version": 2
}
}