Pith Number
pith:IVJIW5YA
pith:2020:IVJIW5YA7U73Y2KFBKRAS4NVY7
not attested
not anchored
not stored
refs pending
SIRNet: Understanding Social Distancing Measures with Hybrid Neural Network Model for COVID-19 Infectious Spread
arxiv:2004.10376 v1 · 2020-04-22 · q-bio.PE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IVJIW5YA7U73Y2KFBKRAS4NVY7}
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
✓
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 | 2026-07-05T00:57:28.473298Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
45528b7700fd3fbc69450aa20971b5c7f18f6365550d03bc0759bdad60023f50
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IVJIW5YA7U73Y2KFBKRAS4NVY7 \
| 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: 45528b7700fd3fbc69450aa20971b5c7f18f6365550d03bc0759bdad60023f50
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5d5c7ba3f0718dc2acd00f261ff4157736b27077a9440eeb419c0ef36b1f0fb1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.PE",
"submitted_at": "2020-04-22T02:57:35Z",
"title_canon_sha256": "c26b6a0c2f65afc3d0771a8229c7464970f26530408f880b9211d65f0912fac0"
},
"schema_version": "1.0",
"source": {
"id": "2004.10376",
"kind": "arxiv",
"version": 1
}
}