Pith Number
pith:7YEWSFBR
pith:2019:7YEWSFBRPSDOBF3THDT3S5AAU4
not attested
not anchored
not stored
refs pending
Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks
arxiv:1907.00650 v1 · 2019-07-01 · cs.LG · q-bio.NC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7YEWSFBRPSDOBF3THDT3S5AAU4}
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 | 2026-05-17T23:41:50.896944Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe096914317c86e0977338e7b97400a701051ef5822297c4ea6f5042f6d3122e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YEWSFBRPSDOBF3THDT3S5AAU4 \
| 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: fe096914317c86e0977338e7b97400a701051ef5822297c4ea6f5042f6d3122e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e7261a1de83031d7b5c27ecb58b5f9cf46e053902cca38f05ee9f0a9ece6baed",
"cross_cats_sorted": [
"q-bio.NC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-07-01T10:51:38Z",
"title_canon_sha256": "2705e03151b9cb8c1bf3302a4261f82408cce87eb1f9e5d9cc3c9f08f2fbd6e2"
},
"schema_version": "1.0",
"source": {
"id": "1907.00650",
"kind": "arxiv",
"version": 1
}
}