Pith Number
pith:KTCZRB42
pith:2026:KTCZRB42XLXAEROBBKZGNNYHXW
not attested
not anchored
not stored
refs pending
Using Machine Learning to Enhance Hyperparameter Optimization in Pandemic Modeling: Case study of COVID-19 Dynamics in Ghana
arxiv:2606.02650 v1 · 2026-05-31 · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KTCZRB42XLXAEROBBKZGNNYHXW}
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.
Receipt and verification
| First computed | 2026-06-03T00:05:05.612235Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
54c598879abaee0245c10ab266b707bdb2bc77cf690b022800af111177aabfc4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KTCZRB42XLXAEROBBKZGNNYHXW \
| 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: 54c598879abaee0245c10ab266b707bdb2bc77cf690b022800af111177aabfc4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2019a52286ef74313b202d6f7373e38becb29d7da38aa6bd5f84f0d2debd78c3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2026-05-31T20:12:54Z",
"title_canon_sha256": "b236364dc314527b7f0cc7233ac67c68fd3731efc693473f80660ae63a86e764"
},
"schema_version": "1.0",
"source": {
"id": "2606.02650",
"kind": "arxiv",
"version": 1
}
}