Pith Number
pith:BMJBWGLP
pith:2022:BMJBWGLPWCJP5RH2EICMBXTXCG
not attested
not anchored
not stored
refs pending
Physics-informed neural networks for gravity currents reconstruction from limited data
arxiv:2211.09715 v2 · 2022-11-03 · physics.flu-dyn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BMJBWGLPWCJP5RH2EICMBXTXCG}
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.
Receipt and verification
| First computed | 2026-07-05T06:20:38.281224Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b121b196fb092fec4fa2204c0de7711bc4ce52112c3cc8b60517bdf6fb9d84a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BMJBWGLPWCJP5RH2EICMBXTXCG \
| 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: 0b121b196fb092fec4fa2204c0de7711bc4ce52112c3cc8b60517bdf6fb9d84a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "029880574f39642568d9fab505c6428667e4348818ddb0bddaa6e306050554ee",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2022-11-03T11:27:29Z",
"title_canon_sha256": "6fe7ea0d9784ad0c3f91cf039714b3c20b89f866b000afd255f84478b7f86d48"
},
"schema_version": "1.0",
"source": {
"id": "2211.09715",
"kind": "arxiv",
"version": 2
}
}