Pith Number
pith:HBJJRNN4
pith:2021:HBJJRNN4P5R5F4ER67JXFYNBST
not attested
not anchored
not stored
refs pending
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
arxiv:2106.04900 v1 · 2021-06-09 · cs.LG · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HBJJRNN4P5R5F4ER67JXFYNBST}
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 | 2026-07-05T02:47:50.488514Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
385298b5bc7f63d2f091f7d372e1a194cfffaf31b14e7a475798fe02b2ec77b3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HBJJRNN4P5R5F4ER67JXFYNBST \
| 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: 385298b5bc7f63d2f091f7d372e1a194cfffaf31b14e7a475798fe02b2ec77b3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f1d1bc3c279118d59bf239453478e4c6f581751bc14e26df50f856e8ab90b5e8",
"cross_cats_sorted": [
"physics.flu-dyn"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-09T08:37:38Z",
"title_canon_sha256": "43cb6e66407221ed75b5960cf3bf0579d6fe9ce74054fc664bd70d579594d6c5"
},
"schema_version": "1.0",
"source": {
"id": "2106.04900",
"kind": "arxiv",
"version": 1
}
}