Pith Number
pith:WQVS3NZV
pith:2023:WQVS3NZVBCGQL23OXG3YERNIEA
not attested
not anchored
not stored
refs pending
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
arxiv:2310.03003 v1 · 2023-10-04 · cs.CL · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WQVS3NZVBCGQL23OXG3YERNIEA}
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 | 2026-07-05T06:57:16.412796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b42b2db735088d05eb6eb9b78245a82038e2d80c6504800d7168906561968bfc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WQVS3NZVBCGQL23OXG3YERNIEA \
| 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: b42b2db735088d05eb6eb9b78245a82038e2d80c6504800d7168906561968bfc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "40e94cfcbd5eae3d078586a2858c437fea05f9b8bcb8b27c8a946610f4ea403a",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2023-10-04T17:41:59Z",
"title_canon_sha256": "e4b0203469205d893a313bbab16690d72964259d83245351e208b0951d38a7e6"
},
"schema_version": "1.0",
"source": {
"id": "2310.03003",
"kind": "arxiv",
"version": 1
}
}