Pith Number
pith:W7MZVNHE
pith:2023:W7MZVNHEJ4EFGQYBPKOF43XKDT
not attested
not anchored
not stored
refs pending
Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network
arxiv:2310.05900 v1 · 2023-10-09 · quant-ph · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{W7MZVNHEJ4EFGQYBPKOF43XKDT}
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:45:06.709495Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b7d99ab4e44f085343017a9c5e6eea1cfde40ca69f5e65451c479b12e0d24bb1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/W7MZVNHEJ4EFGQYBPKOF43XKDT \
| 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: b7d99ab4e44f085343017a9c5e6eea1cfde40ca69f5e65451c479b12e0d24bb1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bd4e63f172148a91537e97281b2964618c46ccccd561edbb91afc117f06684e8",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2023-10-09T17:41:37Z",
"title_canon_sha256": "4a817f15978627202c45cd5c222333c938c9a54749ca8a586c53f6edddd087d6"
},
"schema_version": "1.0",
"source": {
"id": "2310.05900",
"kind": "arxiv",
"version": 1
}
}