Pith Number
pith:OIXFSXDX
pith:2024:OIXFSXDXCE5QYUU7UF6RVAVO5L
not attested
not anchored
not stored
refs pending
Advantages of density in tensor network geometries for gradient based training
arxiv:2412.17497 v1 · 2024-12-23 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OIXFSXDXCE5QYUU7UF6RVAVO5L}
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 | 2026-07-05T09:53:23.332801Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
722e595c77113b0c529fa17d1a82aeeae5e5647f40f0ea61bfed050f03112a3e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OIXFSXDXCE5QYUU7UF6RVAVO5L \
| 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: 722e595c77113b0c529fa17d1a82aeeae5e5647f40f0ea61bfed050f03112a3e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "745815b28fb40ad066a55bd7ecadd4e104893c541d4a260b008ededfcea31805",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "quant-ph",
"submitted_at": "2024-12-23T11:54:44Z",
"title_canon_sha256": "0f47255dd68716e6e8fbc539eec2e2fa4b9db04b6937b7ff67671ae03ad68b52"
},
"schema_version": "1.0",
"source": {
"id": "2412.17497",
"kind": "arxiv",
"version": 1
}
}