Pith Number
pith:J2UV2NRD
pith:2018:J2UV2NRDVXP4GWNTLMCVQIIZR5
not attested
not anchored
not stored
refs pending
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning
arxiv:1807.07404 v1 · 2018-07-17 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J2UV2NRDVXP4GWNTLMCVQIIZR5}
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
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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 | 2026-05-18T00:10:20.239928Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4ea95d3623addfc359b35b055821198f7772ef032ec3d3a5e7e6ad051c9c97c9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J2UV2NRDVXP4GWNTLMCVQIIZR5 \
| 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: 4ea95d3623addfc359b35b055821198f7772ef032ec3d3a5e7e6ad051c9c97c9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "01df70b46fec3871fd13605436417d113cfb9b6f131312b87ad317f3992f08ff",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-07-17T14:02:14Z",
"title_canon_sha256": "1e39ea82f999d13d34e89eac6ea12c9813054aca76e5b4d4f91e35ad75426e75"
},
"schema_version": "1.0",
"source": {
"id": "1807.07404",
"kind": "arxiv",
"version": 1
}
}