Pith Number
pith:V7WJRUDN
pith:2023:V7WJRUDNPPDGUAP6M7CB5RYVYN
not attested
not anchored
not stored
refs pending
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
arxiv:2307.09357 v2 · 2023-07-18 · cs.ET · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{V7WJRUDNPPDGUAP6M7CB5RYVYN}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
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Internet Archive
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4
Citations
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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 | 2026-07-05T07:37:50.575755Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
afec98d06d7bc66a01fe67c41ec715c36d816528d20e98c7b307a4e68bfb9aa7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/V7WJRUDNPPDGUAP6M7CB5RYVYN \
| 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: afec98d06d7bc66a01fe67c41ec715c36d816528d20e98c7b307a4e68bfb9aa7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "070c469cfd8f1398977885a0ca6fcfeebc3cb11b387f0de3e28dab2c23fb3444",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.ET",
"submitted_at": "2023-07-18T15:44:24Z",
"title_canon_sha256": "5f0885493183581be22671f5028f7bf744a3a594f5b3ab7ea35cfcb81b735ce5"
},
"schema_version": "1.0",
"source": {
"id": "2307.09357",
"kind": "arxiv",
"version": 2
}
}