Pith Number
pith:MLJNS4RZ
pith:2025:MLJNS4RZXE7I6S25LBIP6ZSZXE
not attested
not anchored
not stored
refs pending
Learning in Log-Domain: Subthreshold Analog AI Accelerator Based on Stochastic Gradient Descent
arxiv:2501.13181 v1 · 2025-01-22 · cs.AR · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MLJNS4RZXE7I6S25LBIP6ZSZXE}
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.
Receipt and verification
| First computed | 2026-07-05T10:04:24.694279Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
62d2d97239b93e8f4b5d5850ff6659b912c2961eaf6b40b7bd7958a2cc79b189
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MLJNS4RZXE7I6S25LBIP6ZSZXE \
| 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: 62d2d97239b93e8f4b5d5850ff6659b912c2961eaf6b40b7bd7958a2cc79b189
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5fff630face382749ff7fa86b85c10fb720c2f726794f7bd1832891fd8802d09",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AR",
"submitted_at": "2025-01-22T19:26:36Z",
"title_canon_sha256": "2edcbe2f35604b2128187b787f2599e9b86b1f93f3a1ace6edf56c64e48123e3"
},
"schema_version": "1.0",
"source": {
"id": "2501.13181",
"kind": "arxiv",
"version": 1
}
}