Pith Number
pith:XMLNTQ2T
pith:2017:XMLNTQ2TLBXVIBTJSPSO7UK2OP
not attested
not anchored
not stored
refs pending
Strengths and Weaknesses of Deep Learning Models for Face Recognition Against Image Degradations
arxiv:1710.01494 v1 · 2017-10-04 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XMLNTQ2TLBXVIBTJSPSO7UK2OP}
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 | 2026-05-18T00:18:53.242939Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bb16d9c353586f54066993e4efd15a73df0651268d21216409c974cb483be397
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XMLNTQ2TLBXVIBTJSPSO7UK2OP \
| 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: bb16d9c353586f54066993e4efd15a73df0651268d21216409c974cb483be397
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "058da950e737cc4dfd6ea7807923c49e195365451ac9c06835a169273e4200b7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2017-10-04T08:03:41Z",
"title_canon_sha256": "66931cfe6f6d980a22c074f748cb4075364b8dfdb39bdca55b83d8db23cdcc9e"
},
"schema_version": "1.0",
"source": {
"id": "1710.01494",
"kind": "arxiv",
"version": 1
}
}