Pith Number
pith:QDC5LAHU
pith:2025:QDC5LAHUF2TR5HYHC6U4RD3VQX
not attested
not anchored
not stored
refs pending
Hybrid Reduced-Order Models for Turbulent Flows Using Recurrent Neural Architectures
arxiv:2503.05964 v1 · 2025-03-07 · physics.flu-dyn
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QDC5LAHUF2TR5HYHC6U4RD3VQX}
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 | 2026-07-05T10:26:50.167521Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
80c5d580f42ea71e9f0717a9c88f7585f0f1d0a5e01363c7a4c40d82a8bed1b0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QDC5LAHUF2TR5HYHC6U4RD3VQX \
| 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: 80c5d580f42ea71e9f0717a9c88f7585f0f1d0a5e01363c7a4c40d82a8bed1b0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5dbc6262d5d2ed56f28f6138aa3f0cab0157e749c0a1dbc776c879d4c8fbf0f7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2025-03-07T22:07:25Z",
"title_canon_sha256": "d65995cc803519498e7393418f0eb779bda2bb22ede7611ed2e88a795c233b5c"
},
"schema_version": "1.0",
"source": {
"id": "2503.05964",
"kind": "arxiv",
"version": 1
}
}