Pith Number
pith:OJW4D66I
pith:2023:OJW4D66IYPNKKTKTYYJUXIYIY6
not attested
not anchored
not stored
refs pending
Solving High Dimensional Partial Differential Equations Using Tensor Neural Network and A Posteriori Error Estimators
arxiv:2311.02732 v2 · 2023-11-05 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OJW4D66IYPNKKTKTYYJUXIYIY6}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T08:15:41.413677Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
726dc1fbc8c3daa54d53c6134ba308c7b2f930d71a18cc5ea5803a3ff3cebd1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OJW4D66IYPNKKTKTYYJUXIYIY6 \
| 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: 726dc1fbc8c3daa54d53c6134ba308c7b2f930d71a18cc5ea5803a3ff3cebd1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9b96bc8624f6788b134d7cac52028f9dfdc5a4d48bfc801b3a3997bb43c4c6cc",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "math.NA",
"submitted_at": "2023-11-05T18:31:04Z",
"title_canon_sha256": "55f973f039c92a72de9b621eda912e3398f63ee2c0803ee964c43d36d46da1bd"
},
"schema_version": "1.0",
"source": {
"id": "2311.02732",
"kind": "arxiv",
"version": 2
}
}