Pith Number
pith:BHNNYW4Q
pith:2020:BHNNYW4QRV4FI7XJIPJS5E4DNF
not attested
not anchored
not stored
refs pending
Do Adversarially Robust ImageNet Models Transfer Better?
arxiv:2007.08489 v2 · 2020-07-16 · cs.CV · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BHNNYW4QRV4FI7XJIPJS5E4DNF}
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 | 2026-07-05T01:57:52.720985Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09dadc5b908d78547ee943d32e9383696e6bd3e542ea59dbd7ae8a609120da78
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BHNNYW4QRV4FI7XJIPJS5E4DNF \
| 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: 09dadc5b908d78547ee943d32e9383696e6bd3e542ea59dbd7ae8a609120da78
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0fc7440dec430898239a45cdb6c45bcb764f6e5968c8b7329602e27af9382796",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-07-16T17:42:40Z",
"title_canon_sha256": "44f5c2f7ec8ce9c307976e615b6f8e1827ef0fb15ac6da8c02ba7ad130558784"
},
"schema_version": "1.0",
"source": {
"id": "2007.08489",
"kind": "arxiv",
"version": 2
}
}