Pith Number
pith:RL754VT3
pith:2025:RL754VT3ZRVS4J7DTTYE7JRTYH
not attested
not anchored
not stored
refs pending
Observations on Recurrent Loss in the Neural Network Model of a Partial Differential Equation: the Advection-Diffusion Equation
arxiv:2503.19036 v2 · 2025-03-24 · math.NA · cs.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RL754VT3ZRVS4J7DTTYE7JRTYH}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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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.
Receipt and verification
| First computed | 2026-05-20T00:05:27.866280Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8affde567bcc6b2e27e39cf04fa633c1ffcf5f48285652b09e821f047e65f571
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RL754VT3ZRVS4J7DTTYE7JRTYH \
| 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: 8affde567bcc6b2e27e39cf04fa633c1ffcf5f48285652b09e821f047e65f571
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1a2a7eb50ffc3b2d31a52655330ea0b349e73920494b6ca1886906d9e9642b17",
"cross_cats_sorted": [
"cs.NA"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.NA",
"submitted_at": "2025-03-24T18:06:47Z",
"title_canon_sha256": "533a5ef7446b5d19d9748343eab855b217ba427eb11f42dfcc8457528e01b24c"
},
"schema_version": "1.0",
"source": {
"id": "2503.19036",
"kind": "arxiv",
"version": 2
}
}