Pith Number
pith:LCOAJLDE
pith:2025:LCOAJLDE7B2SKYL4KPO7KJ4URL
not attested
not anchored
not stored
refs pending
Energy Considerations for Large Pretrained Neural Networks
arxiv:2506.01311 v1 · 2025-06-02 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LCOAJLDE7B2SKYL4KPO7KJ4URL}
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 | 2026-07-05T11:14:11.546635Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
589c04ac64f87525617c53ddf527948ac33427bd081a1dbc8a7821268886be62
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LCOAJLDE7B2SKYL4KPO7KJ4URL \
| 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: 589c04ac64f87525617c53ddf527948ac33427bd081a1dbc8a7821268886be62
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14efd98be2cc7c080c04c41315c02b91642a8bf1ec1afea5d62690b0144d174c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-02T04:39:24Z",
"title_canon_sha256": "f1aaf69fdc5b44527140678624142bbe8f2717df755449da08f2adeb42e5e23e"
},
"schema_version": "1.0",
"source": {
"id": "2506.01311",
"kind": "arxiv",
"version": 1
}
}