Pith Number
pith:Q75F4VML
pith:2019:Q75F4VML2N4ZOMHW5OGGJ5O65N
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refs pending
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques
arxiv:1906.09715 v1 · 2019-06-24 · cs.CR · cs.NI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{Q75F4VML2N4ZOMHW5OGGJ5O65N}
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
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4
Citations
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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 | 2026-05-17T23:42:37.016996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
87fa5e558bd3799730f6eb8c64f5deeb63ee68c937908c6ecadd6dd0402dc9e0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/Q75F4VML2N4ZOMHW5OGGJ5O65N \
| 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: 87fa5e558bd3799730f6eb8c64f5deeb63ee68c937908c6ecadd6dd0402dc9e0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e3551f014825b17d66e8851808bbd7336dee84b964de398fe1e0852c2da87d9d",
"cross_cats_sorted": [
"cs.NI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2019-06-24T04:18:38Z",
"title_canon_sha256": "c9026217ab84ec892a2cf5d3f6cbf8af05aa19736be3c0a22989e5e7bbfa96ae"
},
"schema_version": "1.0",
"source": {
"id": "1906.09715",
"kind": "arxiv",
"version": 1
}
}