Pith Number
pith:DUNAXIT3
pith:2018:DUNAXIT34PMRMKLOR5LD6XIIPM
not attested
not anchored
not stored
refs pending
A Statistical Approach to Assessing Neural Network Robustness
arxiv:1811.07209 v4 · 2018-11-17 · stat.ML · cs.LG
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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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 | 2026-05-17T23:52:58.538479Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1d1a0ba27be3d916296e8f563f5d087b3daed6140027ee93588e90272b0869bc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DUNAXIT34PMRMKLOR5LD6XIIPM \
| 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: 1d1a0ba27be3d916296e8f563f5d087b3daed6140027ee93588e90272b0869bc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c7c4c17ba170c8e202e272459c4c55cf4d4bc59ce06d7b0d9da128b6e21e259b",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2018-11-17T19:13:58Z",
"title_canon_sha256": "38dcdce6e01e3d4837b814413194f769875b3cf4706eb5329801b42a20abf4be"
},
"schema_version": "1.0",
"source": {
"id": "1811.07209",
"kind": "arxiv",
"version": 4
}
}