Pith Number
pith:GK2XI74T
pith:2021:GK2XI74TXOX5OPI3WA4JLJKI52
not attested
not anchored
not stored
refs pending
Finding hidden-feature depending laws inside a data set and classifying it using Neural Network
arxiv:2101.10427 v1 · 2021-01-25 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GK2XI74TXOX5OPI3WA4JLJKI52}
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
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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 | 2026-07-05T02:09:58.329705Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
32b5747f93bbafd73d1bb03895a548eeb14f49d0111986c8ad315656015330ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GK2XI74TXOX5OPI3WA4JLJKI52 \
| 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: 32b5747f93bbafd73d1bb03895a548eeb14f49d0111986c8ad315656015330ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fc0434c40ed5f2165e7e344eeb795875c545d71fb6af14ccb8e435c4b35d3136",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-01-25T21:37:37Z",
"title_canon_sha256": "5d5cf475801107981114e347030bb790416fa1b2f451167b9e5edf5efb900a55"
},
"schema_version": "1.0",
"source": {
"id": "2101.10427",
"kind": "arxiv",
"version": 1
}
}