Pith Number
pith:QWXTQQSX
pith:2019:QWXTQQSXUP77RNJMCZWBN7P7MW
not attested
not anchored
not stored
refs pending
Distillation $\approx$ Early Stopping? Harvesting Dark Knowledge Utilizing Anisotropic Information Retrieval For Overparameterized Neural Network
arxiv:1910.01255 v1 · 2019-10-02 · stat.ML · cs.CV · cs.IT · cs.LG · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QWXTQQSXUP77RNJMCZWBN7P7MW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T00:09:28.414280Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
85af384257a3fff8b52c166c16fdff658a6b39277c81bc1cebffdc6116e1599a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QWXTQQSXUP77RNJMCZWBN7P7MW \
| 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: 85af384257a3fff8b52c166c16fdff658a6b39277c81bc1cebffdc6116e1599a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be7a2ca6fc0090de80674782b046738cd16237c84f9ef58b5c336169f8da33f3",
"cross_cats_sorted": [
"cs.CV",
"cs.IT",
"cs.LG",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2019-10-02T23:53:39Z",
"title_canon_sha256": "17a717e2a49020939ee5e5ed10ec3a6844b8eb39a49c49ec553f1f533c7ef794"
},
"schema_version": "1.0",
"source": {
"id": "1910.01255",
"kind": "arxiv",
"version": 1
}
}