Pith Number
pith:AVXZGQPN
pith:2021:AVXZGQPNMGOHGIOIYON2IMGHVY
not attested
not anchored
not stored
refs pending
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19
arxiv:2101.10280 v1 · 2021-01-20 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AVXZGQPNMGOHGIOIYON2IMGHVY}
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 | 2026-07-05T02:09:27.468579Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
056f9341ed619c7321c8c39ba430c7ae1f9213af488e5907217b6e685f2a02d9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AVXZGQPNMGOHGIOIYON2IMGHVY \
| 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: 056f9341ed619c7321c8c39ba430c7ae1f9213af488e5907217b6e685f2a02d9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "062d41932ac43d0d158f54eb9fc2e57592c1fc2b33b00eca6597fbdbcfa63a30",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-01-20T19:49:00Z",
"title_canon_sha256": "00861b21c03afeab46172bd8f107969e738fdd252bb70af7bc0067559f45a841"
},
"schema_version": "1.0",
"source": {
"id": "2101.10280",
"kind": "arxiv",
"version": 1
}
}