Pith Number
pith:BVLYDNX5
pith:2017:BVLYDNX5MQIOMBUMWWXZDL5BSJ
not attested
not anchored
not stored
refs pending
Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach
arxiv:1706.04146 v3 · 2017-06-13 · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVLYDNX5MQIOMBUMWWXZDL5BSJ}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:31:45.039440Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d5781b6fd6410e6068cb5af91afa19257fac202d4da231fa3165745527f1f3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVLYDNX5MQIOMBUMWWXZDL5BSJ \
| 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: 0d5781b6fd6410e6068cb5af91afa19257fac202d4da231fa3165745527f1f3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a99ade02eec9b70160652075b633cc1e3884b0b300086ef62ae992cb01a9c63b",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CR",
"submitted_at": "2017-06-13T16:18:18Z",
"title_canon_sha256": "cb6741203a3fcc842064ae9fcf63aeae400b134b5c91440490679427c16c3adb"
},
"schema_version": "1.0",
"source": {
"id": "1706.04146",
"kind": "arxiv",
"version": 3
}
}