Pith Number
pith:RXBUXCTS
pith:2019:RXBUXCTSXA7VYZBVOWPVYNFYSL
not attested
not anchored
not stored
refs pending
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning
arxiv:1907.00924 v1 · 2019-06-28 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RXBUXCTSXA7VYZBVOWPVYNFYSL}
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 | 2026-05-17T23:41:47.601130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8dc34b8a72b83f5c6435759f5c34b892d8cce87f2c3adec6f1d10b1e0911ff48
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RXBUXCTSXA7VYZBVOWPVYNFYSL \
| 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: 8dc34b8a72b83f5c6435759f5c34b892d8cce87f2c3adec6f1d10b1e0911ff48
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ec910c03aec406e871a29185ffe98430847e3de24eaebd7fc40c5a63fe6bfe36",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-06-28T14:38:39Z",
"title_canon_sha256": "1b397eeff77f5f0541e9f907b54021165c521e9cc722cea7d406ad6795694747"
},
"schema_version": "1.0",
"source": {
"id": "1907.00924",
"kind": "arxiv",
"version": 1
}
}