Pith Number
pith:H2SJPW4T
pith:2025:H2SJPW4TJAJWD4JP7ZZ2Y3DVKI
not attested
not anchored
not stored
refs pending
Characterization of GPU TEE Overheads in Distributed Data Parallel ML Training
arxiv:2501.11771 v3 · 2025-01-20 · cs.CR · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H2SJPW4TJAJWD4JP7ZZ2Y3DVKI}
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 | 2026-07-05T11:53:27.338259Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3ea497db93481361f12ffe73ac6c75521ae383aa88f27b3cf3502cd8e5cf1f91
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H2SJPW4TJAJWD4JP7ZZ2Y3DVKI \
| 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: 3ea497db93481361f12ffe73ac6c75521ae383aa88f27b3cf3502cd8e5cf1f91
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fefb13196f42087235da776d05cc00d5ac93b9ef6f40778a0ed86384ec674d3",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CR",
"submitted_at": "2025-01-20T22:23:50Z",
"title_canon_sha256": "1a4b6b2171e719e0020f3b8503098ec05015af7ad4e5cf35581350d6ed32ac1e"
},
"schema_version": "1.0",
"source": {
"id": "2501.11771",
"kind": "arxiv",
"version": 3
}
}