Pith Number
pith:KHJD2VHH
pith:2018:KHJD2VHHSNB7LRQ7NHC6YCO5EM
not attested
not anchored
not stored
refs pending
Use of Magnetoresistive Random-Access Memory as Approximate Memory for Training Neural Networks
arxiv:1810.10836 v1 · 2018-10-25 · cs.ET · physics.app-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KHJD2VHHSNB7LRQ7NHC6YCO5EM}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
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Internet Archive
3
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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 | 2026-05-18T00:02:19.044864Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
51d23d54e79343f5c61f69c5ec09dd2309e91dc5bbabb2ce336b02229fddefd5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KHJD2VHHSNB7LRQ7NHC6YCO5EM \
| 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: 51d23d54e79343f5c61f69c5ec09dd2309e91dc5bbabb2ce336b02229fddefd5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "30fc9b0fde957c54c13e1aad61094dee7f5cb04976b7996687d5d5c4126f835e",
"cross_cats_sorted": [
"physics.app-ph"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.ET",
"submitted_at": "2018-10-25T11:49:24Z",
"title_canon_sha256": "06debcc7760f2b01dc6aa4daa61811f5dbc7386ccc7954af1479f69cfd8404ca"
},
"schema_version": "1.0",
"source": {
"id": "1810.10836",
"kind": "arxiv",
"version": 1
}
}