Pith Number
pith:IR3SD3BO
pith:2022:IR3SD3BOISXPW2K7MLPY6W7WWU
not attested
not anchored
not stored
refs pending
Precise Energy Consumption Measurements of Heterogeneous Artificial Intelligence Workloads
arxiv:2212.01698 v1 · 2022-12-03 · cs.DC · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IR3SD3BOISXPW2K7MLPY6W7WWU}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:22:15.485903Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
447721ec2e44aefb695f62df8f5bf6b5067e5c9b385bd9abe4e905069a603fcb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IR3SD3BOISXPW2K7MLPY6W7WWU \
| 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: 447721ec2e44aefb695f62df8f5bf6b5067e5c9b385bd9abe4e905069a603fcb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1a7929b86b5877aa46f98359f7fc0f6bfc7deab31ecc1bea56ddbea753f1dad4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.DC",
"submitted_at": "2022-12-03T21:40:55Z",
"title_canon_sha256": "2bd6e60cb8f02a9c2ceb352c833b1b858ec633d973ad4082081f0f82dfb155c9"
},
"schema_version": "1.0",
"source": {
"id": "2212.01698",
"kind": "arxiv",
"version": 1
}
}