Pith Number
pith:OFF5W2L7
pith:2019:OFF5W2L7XTCS4CIH7LVCGLZWFS
not attested
not anchored
not stored
refs pending
Trainable Associative Memory Neural Networks in a Quantum-Dot Cellular Automata
arxiv:1901.00881 v1 · 2019-01-03 · cs.ET
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OFF5W2L7XTCS4CIH7LVCGLZWFS}
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 | 2026-05-17T23:56:57.821844Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
714bdb697fbcc52e0907faea232f362ca1470b31d7cb3cb06ec2a1731e03c07b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OFF5W2L7XTCS4CIH7LVCGLZWFS \
| 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: 714bdb697fbcc52e0907faea232f362ca1470b31d7cb3cb06ec2a1731e03c07b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bf1bc05a7ef40514a0b10a577833fecf12f627bf7355be626caebc349615983b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.ET",
"submitted_at": "2019-01-03T19:10:24Z",
"title_canon_sha256": "ef3d3b37eebce2b5503fde664937cc4e4d4841c4989f8f736909680c0e4f4b8c"
},
"schema_version": "1.0",
"source": {
"id": "1901.00881",
"kind": "arxiv",
"version": 1
}
}