Pith Number
pith:6O5LEBDZ
pith:2018:6O5LEBDZBZATCUFEZ5YOJCR5O6
not attested
not anchored
not stored
refs pending
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
arxiv:1806.05357 v1 · 2018-06-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6O5LEBDZBZATCUFEZ5YOJCR5O6}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-05-17T23:49:17.554254Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f3bab204790e413150a4cf70e48a3d779647fb7ad3a6ab9a1e73de616f1fd28e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6O5LEBDZBZATCUFEZ5YOJCR5O6 \
| 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: f3bab204790e413150a4cf70e48a3d779647fb7ad3a6ab9a1e73de616f1fd28e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5268fd7ddba0ba208031b0413784941b8c9c49521c3fec2d1fa58d94548744a1",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-06-14T04:06:00Z",
"title_canon_sha256": "13af509228f736a89c48532e03aaf398071c2c7edc22b5f0cef20a67615b91aa"
},
"schema_version": "1.0",
"source": {
"id": "1806.05357",
"kind": "arxiv",
"version": 1
}
}