Pith Number
pith:RT47KLGF
pith:2026:RT47KLGFH3W34PLHO2JIYUJE6T
not attested
not anchored
not stored
refs pending
Explainable quantum neural networks for multi-material topology optimization
arxiv:2607.00438 v1 · 2026-07-01 · cs.CE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RT47KLGFH3W34PLHO2JIYUJE6T}
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 | 2026-07-02T01:17:43.417988Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8cf9f52cc53eedbe3d6776928c5124f4efef845b1878f2e2bd4755ebfce34044
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RT47KLGFH3W34PLHO2JIYUJE6T \
| 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: 8cf9f52cc53eedbe3d6776928c5124f4efef845b1878f2e2bd4755ebfce34044
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "88868ae3378e942eebdbac57e36601903edb47058f29fbdf7dbe8157ece826f8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CE",
"submitted_at": "2026-07-01T04:52:14Z",
"title_canon_sha256": "a78b4a1bdee66b3bf081e177a35f5c55d088a94f53eb065a2b02f8febab9d039"
},
"schema_version": "1.0",
"source": {
"id": "2607.00438",
"kind": "arxiv",
"version": 1
}
}