Pith Number
pith:N7AQKCEW
pith:2016:N7AQKCEWB2BZZMHUHMLWHQQTZM
not attested
not anchored
not stored
refs pending
Energy-efficient Machine Learning in Silicon: A Communications-inspired Approach
arxiv:1611.03109 v1 · 2016-10-25 · cs.LG · cs.AR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{N7AQKCEWB2BZZMHUHMLWHQQTZM}
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 | 2026-05-18T00:59:41.337160Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6fc10508960e839cb0f43b1763c213cb3a8a9c7c7f3ce0bfa6b0ed103da7f60c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/N7AQKCEWB2BZZMHUHMLWHQQTZM \
| 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: 6fc10508960e839cb0f43b1763c213cb3a8a9c7c7f3ce0bfa6b0ed103da7f60c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e6157380739c11091a79efb5cf5c66e8ad1f749fa7e2e296369db30156a035f4",
"cross_cats_sorted": [
"cs.AR"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-10-25T18:45:32Z",
"title_canon_sha256": "cfaa50260ccfe8d704b3a67054e30154354e21480f0e93af86bcaa6937e4b7d9"
},
"schema_version": "1.0",
"source": {
"id": "1611.03109",
"kind": "arxiv",
"version": 1
}
}