Pith Number
pith:NFMH3A7D
pith:2024:NFMH3A7DV6PFDE4LKRXEO7DTMA
not attested
not anchored
not stored
refs pending
Do deep neural networks utilize the weight space efficiently?
arxiv:2401.16438 v1 · 2024-01-26 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NFMH3A7DV6PFDE4LKRXEO7DTMA}
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 | 2026-07-05T07:38:55.039519Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
69587d83e3af9e51938b546e477c73600b15bfd0de4cda284d9d02656d02c9ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NFMH3A7DV6PFDE4LKRXEO7DTMA \
| 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: 69587d83e3af9e51938b546e477c73600b15bfd0de4cda284d9d02656d02c9ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ef06acc0467f4c684b2deaa8ff44deab6719d2f014085ff9deed9f8659ad4654",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-01-26T21:51:49Z",
"title_canon_sha256": "6bd9df07fc51883ac9428e9a6f6fae4e7d917697418f8654c4918b8b9f3fdf11"
},
"schema_version": "1.0",
"source": {
"id": "2401.16438",
"kind": "arxiv",
"version": 1
}
}