Pith Number
pith:HMVSVVWE
pith:2025:HMVSVVWE7266Y5O6BW4RW4QN2C
not attested
not anchored
not stored
refs pending
Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017
arxiv:2506.19877 v2 · 2025-06-23 · cs.CR · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HMVSVVWE7266Y5O6BW4RW4QN2C}
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
· sign in to
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 | 2026-07-05T11:51:30.914881Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3b2b2ad6c4febdec75de0db91b720dd08eb9f1625a38e9bc7324472e2ff1ea3f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HMVSVVWE7266Y5O6BW4RW4QN2C \
| 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: 3b2b2ad6c4febdec75de0db91b720dd08eb9f1625a38e9bc7324472e2ff1ea3f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a6aa1ef8ee588f4a4ab6dd247fef72b9937009d910380434330f194863a49fb6",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-06-23T15:31:10Z",
"title_canon_sha256": "e6958cd19510e8116bdcdf00593418d4dff94c969d59480022217ea0325dbe73"
},
"schema_version": "1.0",
"source": {
"id": "2506.19877",
"kind": "arxiv",
"version": 2
}
}