Pith Number
pith:KWS7USHB
pith:2021:KWS7USHBIK3JN3UFH2H3VMFHVY
not attested
not anchored
not stored
refs pending
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks
arxiv:2106.03591 v2 · 2021-06-07 · stat.ML · cs.LG · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KWS7USHBIK3JN3UFH2H3VMFHVY}
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 | 2026-07-05T06:51:58.631534Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
55a5fa48e142b696ee853e8fbab0a7ae00fca7e98b4b50f89db31c3c5acfb544
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KWS7USHBIK3JN3UFH2H3VMFHVY \
| 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: 55a5fa48e142b696ee853e8fbab0a7ae00fca7e98b4b50f89db31c3c5acfb544
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c7d16872ff0a2136d3ef393ea91bf76cbcabec47657ca6ae0160aeca662ecc2f",
"cross_cats_sorted": [
"cs.LG",
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2021-06-07T13:17:16Z",
"title_canon_sha256": "4697f93be90dae1db3aa595dde4960703a58bc2c9719bc6e01e1024dfebaf67c"
},
"schema_version": "1.0",
"source": {
"id": "2106.03591",
"kind": "arxiv",
"version": 2
}
}