Pith Number
pith:PUSZ6ZQK
pith:2021:PUSZ6ZQKIMG3EVWAIV7FVBIEGO
not attested
not anchored
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refs pending
Mitigating Edge Machine Learning Inference Bottlenecks: An Empirical Study on Accelerating Google Edge Models
arxiv:2103.00768 v1 · 2021-03-01 · cs.AR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PUSZ6ZQKIMG3EVWAIV7FVBIEGO}
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 | 2026-07-05T02:19:09.237950Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7d259f660a430db256c0457e5a850433975d3b6cfd2a985bfe90d263d60a0497
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PUSZ6ZQKIMG3EVWAIV7FVBIEGO \
| 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: 7d259f660a430db256c0457e5a850433975d3b6cfd2a985bfe90d263d60a0497
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "42f7da80fc0b8edd383c88b1df5a90c51273648f65410907756acfd4ac39bce6",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AR",
"submitted_at": "2021-03-01T05:49:32Z",
"title_canon_sha256": "a8169a5c3ac2e5059992bbb372bea331820881b783eaf00f4cf1e1782b51693c"
},
"schema_version": "1.0",
"source": {
"id": "2103.00768",
"kind": "arxiv",
"version": 1
}
}