Pith Number
pith:33COF5SI
pith:2025:33COF5SI7OY6EBBJUSVXMMS7SX
not attested
not anchored
not stored
refs pending
Machine Learning Fleet Efficiency: Analyzing and Optimizing Large-Scale Google TPU Systems with ML Productivity Goodput
arxiv:2502.06982 v2 · 2025-02-10 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{33COF5SI7OY6EBBJUSVXMMS7SX}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T10:51:32.641892Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dec4e2f648fbb1e20429a4ab76325f95d3394a0b78a33c4abfe309f6fe9c299c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/33COF5SI7OY6EBBJUSVXMMS7SX \
| 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: dec4e2f648fbb1e20429a4ab76325f95d3394a0b78a33c4abfe309f6fe9c299c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "99bf5062e7d92724d874e2c29d56ca2ba084e5b4220d137b08e359bece5993d3",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-02-10T19:20:02Z",
"title_canon_sha256": "9728265c82650911c4e3ee311a786a012cfe439f47fd3f4f62c6b263df02632d"
},
"schema_version": "1.0",
"source": {
"id": "2502.06982",
"kind": "arxiv",
"version": 2
}
}