Pith Number
pith:VJKQDQFP
pith:2020:VJKQDQFP2MCAYH6HD3643YYOPV
not attested
not anchored
not stored
refs pending
OutbreakFlow: Model-based Bayesian inference of disease outbreak dynamics with invertible neural networks and its application to the COVID-19 pandemics in Germany
arxiv:2010.00300 v4 · 2020-10-01 · stat.AP · cs.LG · q-bio.PE
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\usepackage{pith}
\pithnumber{VJKQDQFP2MCAYH6HD3643YYOPV}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:31:54.253094Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
aa5501c0afd3040c1fc71efdcde30e7d65f5b1cd232a2e78b1280ea77f291fa8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VJKQDQFP2MCAYH6HD3643YYOPV \
| 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: aa5501c0afd3040c1fc71efdcde30e7d65f5b1cd232a2e78b1280ea77f291fa8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "328d540ab37d21e3b7e506d4a8a948568320967e27d98751ceb3094e760a3396",
"cross_cats_sorted": [
"cs.LG",
"q-bio.PE"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "stat.AP",
"submitted_at": "2020-10-01T11:01:49Z",
"title_canon_sha256": "9fc81e5e11dce8e152a97f3459816b16150475f240d010be3e899d2fefedca8c"
},
"schema_version": "1.0",
"source": {
"id": "2010.00300",
"kind": "arxiv",
"version": 4
}
}