Pith Number
pith:LMJ2C7OG
pith:2025:LMJ2C7OGNS43VRQU3XBRKBACNA
not attested
not anchored
not stored
refs pending
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows
arxiv:2504.06070 v1 · 2025-04-08 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LMJ2C7OGNS43VRQU3XBRKBACNA}
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 | 2026-07-05T10:46:14.886846Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b13a17dc66cb9bac614ddc315040268344451d7fdc13967d28fa7c46c69466d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LMJ2C7OGNS43VRQU3XBRKBACNA \
| 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: 5b13a17dc66cb9bac614ddc315040268344451d7fdc13967d28fa7c46c69466d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "de0603bc9ce23a944465f8973a97267467a76ce389a2c1a02fa02af69c5fcd28",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-08T14:11:01Z",
"title_canon_sha256": "e2259450aa543788448f4d53a46a21e35f7dd54f89f57e93e7e5b34ad7c2bb16"
},
"schema_version": "1.0",
"source": {
"id": "2504.06070",
"kind": "arxiv",
"version": 1
}
}