Pith Number
pith:5ZIAQET3
pith:2024:5ZIAQET3KEB3H6L3DIL2OIWTLZ
not attested
not anchored
not stored
refs pending
Learning Adaptive Hydrodynamic Models Using Neural ODEs in Complex Conditions
arxiv:2410.00490 v1 · 2024-10-01 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5ZIAQET3KEB3H6L3DIL2OIWTLZ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:14:05.622421Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ee5008127b5103b3f97b1a17a722d35e7ed240c2bc3fcf86769a751a5bd53d87
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5ZIAQET3KEB3H6L3DIL2OIWTLZ \
| 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: ee5008127b5103b3f97b1a17a722d35e7ed240c2bc3fcf86769a751a5bd53d87
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fabb192cf20bcb51eeb486e8fe79a6a60bd1660abbd62153914d68b9b87d4270",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-10-01T08:18:36Z",
"title_canon_sha256": "b912d46f124abc585139d631d52fd1083f6c150ea15660a85e9aa2f583b22fbd"
},
"schema_version": "1.0",
"source": {
"id": "2410.00490",
"kind": "arxiv",
"version": 1
}
}