Pith Number
pith:YQ42ZHFA
pith:2020:YQ42ZHFAMATYJQP347KWHMJA6S
not attested
not anchored
not stored
refs pending
Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse
arxiv:2005.01973 v1 · 2020-05-05 · cs.ET
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YQ42ZHFAMATYJQP347KWHMJA6S}
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 | 2026-07-05T01:00:21.385981Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c439ac9ca0602784c1fbe7d563b120f4924977aea09d40121d3f757bea6fe68c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YQ42ZHFAMATYJQP347KWHMJA6S \
| 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: c439ac9ca0602784c1fbe7d563b120f4924977aea09d40121d3f757bea6fe68c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a0b9a522ade776972b9f61855efdfcbbef9555a0ae54bc4b0bcf1503c5e6adc6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.ET",
"submitted_at": "2020-05-05T07:26:59Z",
"title_canon_sha256": "0c997af7da8dab04036a1c3cf1b43a59e2b9a88397906e9b5477d06c22772ee9"
},
"schema_version": "1.0",
"source": {
"id": "2005.01973",
"kind": "arxiv",
"version": 1
}
}