Pith Number
pith:5QXETRSN
pith:2018:5QXETRSNNZRH6QABHQPXWYJEK3
not attested
not anchored
not stored
refs pending
Fine-Grained Energy and Performance Profiling framework for Deep Convolutional Neural Networks
arxiv:1803.11151 v2 · 2018-03-29 · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5QXETRSNNZRH6QABHQPXWYJEK3}
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 | 2026-05-18T00:16:07.580772Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ec2e49c64d6e627f40013c1f7b612456c587f013e0c202f994a2ddc9e9782fbb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5QXETRSNNZRH6QABHQPXWYJEK3 \
| 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: ec2e49c64d6e627f40013c1f7b612456c587f013e0c202f994a2ddc9e9782fbb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dad9ede14a8dd8f74d054a24da7ac50947becfe5119819055911b615e2528ea8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.PF",
"submitted_at": "2018-03-29T16:55:07Z",
"title_canon_sha256": "4addd70f3405db55f8ec05d5375f4ec5fbc977208bb088d48ca61407f245a2d8"
},
"schema_version": "1.0",
"source": {
"id": "1803.11151",
"kind": "arxiv",
"version": 2
}
}