Pith Number
pith:GAEGKGMS
pith:2023:GAEGKGMSNYB7O56MFWAAM544AP
not attested
not anchored
not stored
refs pending
How to estimate carbon footprint when training deep learning models? A guide and review
arxiv:2306.08323 v2 · 2023-06-14 · cs.LG · cs.AI · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GAEGKGMSNYB7O56MFWAAM544AP}
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 | 2026-07-05T06:53:39.179195Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30086519926e03f777cc2d8006779c03f77d867a86dbf66fa1bf46d8ab1a5de9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GAEGKGMSNYB7O56MFWAAM544AP \
| 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: 30086519926e03f777cc2d8006779c03f77d867a86dbf66fa1bf46d8ab1a5de9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "387c72a5c93b917121e121d5d6d5b74a4ac38ffc707c35c6982d994ffe2616c5",
"cross_cats_sorted": [
"cs.AI",
"cs.CY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-06-14T07:47:44Z",
"title_canon_sha256": "00c76547d87c1a2645eda49d7ea58305b7fcd9f86942eab49a8190944ecd00cb"
},
"schema_version": "1.0",
"source": {
"id": "2306.08323",
"kind": "arxiv",
"version": 2
}
}