Pith Number
pith:2DC66WNZ
pith:2024:2DC66WNZPA2ES7AOTXUINRCYBN
not attested
not anchored
not stored
refs pending
LLMCO2: Advancing Accurate Carbon Footprint Prediction for LLM Inferences
arxiv:2410.02950 v1 · 2024-10-03 · cs.LG · cs.AI · cs.CL · cs.CY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2DC66WNZPA2ES7AOTXUINRCYBN}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:15:41.851754Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0c5ef59b97834497c0e9de886c4580b40445273ac6a78eee48a442e8b6888a3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2DC66WNZPA2ES7AOTXUINRCYBN \
| 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: d0c5ef59b97834497c0e9de886c4580b40445273ac6a78eee48a442e8b6888a3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7ed65e50257b68d89201f25dc59ec6c5872f18f16ee87d4f3958dedd9971b816",
"cross_cats_sorted": [
"cs.AI",
"cs.CL",
"cs.CY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-03T19:48:45Z",
"title_canon_sha256": "442cf0cdf5466047b46e5020ec733ee7586c53fd0d5ba5c253b541a560aa5b81"
},
"schema_version": "1.0",
"source": {
"id": "2410.02950",
"kind": "arxiv",
"version": 1
}
}