Pith Number
pith:ZS5UXFYQ
pith:2019:ZS5UXFYQVO4ZWYB3OMBS5HQIMH
not attested
not anchored
not stored
refs pending
Representing ill-known parts of a numerical model using a machine learning approach
arxiv:1903.07358 v1 · 2019-03-18 · physics.data-an · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZS5UXFYQVO4ZWYB3OMBS5HQIMH}
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 | 2026-05-17T23:51:01.642087Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ccbb4b9710abb99b603b73032e9e0861ce6d9225c39afb629ccf692174371db6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZS5UXFYQVO4ZWYB3OMBS5HQIMH \
| 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: ccbb4b9710abb99b603b73032e9e0861ce6d9225c39afb629ccf692174371db6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a661c317ba206491c3478d3a58801c1d26480180da557575ec837bbe4cce7deb",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.data-an",
"submitted_at": "2019-03-18T10:52:39Z",
"title_canon_sha256": "89508ddea21c63cc576ede6c037c2247da4c8e6abb869de32d8f66068b28f729"
},
"schema_version": "1.0",
"source": {
"id": "1903.07358",
"kind": "arxiv",
"version": 1
}
}