Pith Number
pith:UVQHUYJ6
pith:2024:UVQHUYJ6L5XQOSR6PTZWOCHCQS
not attested
not anchored
not stored
refs pending
Divide And Conquer: Learning Chaotic Dynamical Systems With Multistep Penalty Neural Ordinary Differential Equations
arxiv:2407.00568 v5 · 2024-06-30 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UVQHUYJ6L5XQOSR6PTZWOCHCQS}
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 | 2026-07-05T09:20:44.880184Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a5607a613e5f6f074a3e7cf36708e28491ac11814377d47e5969a5da448d8f2f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UVQHUYJ6L5XQOSR6PTZWOCHCQS \
| 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: a5607a613e5f6f074a3e7cf36708e28491ac11814377d47e5969a5da448d8f2f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ea6dbcd0a4035468eab5b568b5f2c3d0552d5460651b5eaecb5394562feec1d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-06-30T02:50:28Z",
"title_canon_sha256": "638c7c5d86eef0e9bc2ecfab41867ad47549ed47dfa3e5197a105a9c3723f09d"
},
"schema_version": "1.0",
"source": {
"id": "2407.00568",
"kind": "arxiv",
"version": 5
}
}