Pith Number
pith:TDA7W7GU
pith:2019:TDA7W7GUD4Q2CSL6HNCLTYFPDY
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refs pending
Inductive Bias of Gradient Descent based Adversarial Training on Separable Data
arxiv:1906.02931 v3 · 2019-06-07 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TDA7W7GUD4Q2CSL6HNCLTYFPDY}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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claim
4
Citations
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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 | 2026-05-17T23:39:30.054967Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
98c1fb7cd41f21a1497e3b44b9e0af1e0c1dad4e7c9698987d58bb2f4239c96a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TDA7W7GUD4Q2CSL6HNCLTYFPDY \
| 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: 98c1fb7cd41f21a1497e3b44b9e0af1e0c1dad4e7c9698987d58bb2f4239c96a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6a901af10deeecb73256a116dd2fb0e6dc28d21b9da991c9561555491af855de",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-07T07:22:56Z",
"title_canon_sha256": "332a79a7cf354c88d9e23da51634f3eed9f5f9c8336fd0653b5d754c37d09c04"
},
"schema_version": "1.0",
"source": {
"id": "1906.02931",
"kind": "arxiv",
"version": 3
}
}