Pith Number
pith:AU45ZVGV
pith:2024:AU45ZVGVKXI2QYIYTOPX5PYOTQ
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Adaptive sampling-based optimization of quantics tensor trains for noisy functions: applications to quantum simulations
arxiv:2405.12730 v2 · 2024-05-21 · quant-ph · math-ph · math.MP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AU45ZVGVKXI2QYIYTOPX5PYOTQ}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T11:53:40.725395Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0539dcd4d555d1a861189b9f7ebf0e9c2c5e7969453dc38746e14f73c692f6f8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AU45ZVGVKXI2QYIYTOPX5PYOTQ \
| 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: 0539dcd4d555d1a861189b9f7ebf0e9c2c5e7969453dc38746e14f73c692f6f8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c6c8bd64cc4e4e3121d2d8c901c20727c455c9dbcf0174a23f9a4059080fcea7",
"cross_cats_sorted": [
"math-ph",
"math.MP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "quant-ph",
"submitted_at": "2024-05-21T12:36:53Z",
"title_canon_sha256": "6551380e900dd877e55f2fb9f35992fc18e157e3403713d035ac676290d68411"
},
"schema_version": "1.0",
"source": {
"id": "2405.12730",
"kind": "arxiv",
"version": 2
}
}