Pith Number
pith:7HHUA5GF
pith:2018:7HHUA5GFBMUGNJK4MUN43ZDBZM
not attested
not anchored
not stored
refs pending
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing
arxiv:1809.01266 v3 · 2018-09-04 · cs.SE · cs.AI · cs.CR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7HHUA5GFBMUGNJK4MUN43ZDBZM}
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 | 2026-05-18T00:00:34.827271Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f9cf4074c50b2866a55c651bcde461cb2795e2432dee7c5f8fa5a62a7a6c7eb6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7HHUA5GFBMUGNJK4MUN43ZDBZM \
| 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: f9cf4074c50b2866a55c651bcde461cb2795e2432dee7c5f8fa5a62a7a6c7eb6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "490168e4e52d487849391ba444fcec36e408527e410ff7a6050c3cd516e76254",
"cross_cats_sorted": [
"cs.AI",
"cs.CR",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SE",
"submitted_at": "2018-09-04T23:07:45Z",
"title_canon_sha256": "71507a4ea4054ee3f3db3639fcd1e1a785d39cde92ee11b6cc4cf916a6cb7e86"
},
"schema_version": "1.0",
"source": {
"id": "1809.01266",
"kind": "arxiv",
"version": 3
}
}