Pith Number
pith:NI6LF43L
pith:2016:NI6LF43LL57DI5XCS2CTSROG7U
not attested
not anchored
not stored
refs pending
Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
arxiv:1611.05128 v4 · 2016-11-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NI6LF43LL57DI5XCS2CTSROG7U}
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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 | 2026-05-18T00:46:07.847137Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6a3cb2f36b5f7e3476e296853945c6fd254a16e90a0e060dc7630aa73cb9e0b0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NI6LF43LL57DI5XCS2CTSROG7U \
| 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: 6a3cb2f36b5f7e3476e296853945c6fd254a16e90a0e060dc7630aa73cb9e0b0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5194158f4862115365201f547d6e676c4bef0c426e1f9bc970b72853152ca4a8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-11-16T03:00:40Z",
"title_canon_sha256": "e17f179fc471fc18a25b48a2dda06efe61d53a39874ecc994fe5f4718b792ef6"
},
"schema_version": "1.0",
"source": {
"id": "1611.05128",
"kind": "arxiv",
"version": 4
}
}