Pith Number
pith:JHMEP7FD
pith:2021:JHMEP7FDYX4YT5HZRVLDQSAG32
not attested
not anchored
not stored
refs pending
The role of coherence theory in attractor quantum neural networks
arxiv:2112.10867 v3 · 2021-12-20 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JHMEP7FDYX4YT5HZRVLDQSAG32}
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 | 2026-07-05T04:57:02.603962Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
49d847fca3c5f989f4f98d56384806deb7f873f21aee62367b7e0331a49481f6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JHMEP7FDYX4YT5HZRVLDQSAG32 \
| 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: 49d847fca3c5f989f4f98d56384806deb7f873f21aee62367b7e0331a49481f6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a5fe328c74ad4407072a6c8c08d61702c7e5fd5c827585f7edb3063687b22496",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "quant-ph",
"submitted_at": "2021-12-20T21:26:22Z",
"title_canon_sha256": "d4ca055350966b5ae96f1c1f8c09591c84eff0a3bc4bcc1dae116c7dee4c375f"
},
"schema_version": "1.0",
"source": {
"id": "2112.10867",
"kind": "arxiv",
"version": 3
}
}