Pith Number
pith:L4WZLHYX
pith:2016:L4WZLHYX3WKXRWQEU64WJWCFHU
not attested
not anchored
not stored
refs pending
Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization
arxiv:1601.07213 v3 · 2016-01-26 · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L4WZLHYX3WKXRWQEU64WJWCFHU}
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 | 2026-05-18T01:10:18.124907Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5f2d959f17dd9578da04a7b964d8453d3fdd5b94e5d7c082c9c664273d528895
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L4WZLHYX3WKXRWQEU64WJWCFHU \
| 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: 5f2d959f17dd9578da04a7b964d8453d3fdd5b94e5d7c082c9c664273d528895
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "69a53e8785af7c3aaf926fb4b34af6615c85c8f043487e677e1ffac0717a9a88",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-01-26T22:41:13Z",
"title_canon_sha256": "c1f84e0c46eb80b2235f6acb7c25b9f7b9d179cb946c28aa1e1b2cd867cd74b6"
},
"schema_version": "1.0",
"source": {
"id": "1601.07213",
"kind": "arxiv",
"version": 3
}
}