Pith Number
pith:DXQZKSNB
pith:2011:DXQZKSNBNWRHJY4FAH6PKQ65MY
not attested
not anchored
not stored
refs pending
Constructing Runge-Kutta Methods with the Use of Artificial Neural Networks
arxiv:1106.1194 v2 · 2011-06-06 · cs.NE · math.NA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DXQZKSNBNWRHJY4FAH6PKQ65MY}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-05-18T03:12:58.201487Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1de19549a16da274e38501fcf543dd662f2fbc32e1a8dd8f8afa31c26b19ac58
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DXQZKSNBNWRHJY4FAH6PKQ65MY \
| 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: 1de19549a16da274e38501fcf543dd662f2fbc32e1a8dd8f8afa31c26b19ac58
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "93368feaa5b3f9cd5932712149114b9bf03d2cee3e281b0223ac9c668a6b3b24",
"cross_cats_sorted": [
"math.NA"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2011-06-06T20:37:55Z",
"title_canon_sha256": "4303ba617e913088ad9beeaabdc4a34903182217ff63d9f5a3fcaca780e56470"
},
"schema_version": "1.0",
"source": {
"id": "1106.1194",
"kind": "arxiv",
"version": 2
}
}