Pith Number
pith:FVRUYJ4Q
pith:2021:FVRUYJ4Q4TY7VKP3ALEBX7OICL
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refs pending
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
arxiv:2107.07863 v1 · 2021-07-16 · physics.flu-dyn · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FVRUYJ4Q4TY7VKP3ALEBX7OICL}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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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 | 2026-07-05T02:58:29.987071Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d634c2790e4f1faa9fb02c81bfdc812df0d142c7dc2685145e51620f25ce88c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FVRUYJ4Q4TY7VKP3ALEBX7OICL \
| 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: 2d634c2790e4f1faa9fb02c81bfdc812df0d142c7dc2685145e51620f25ce88c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "129e81e63f2a5a80d289201d0fb361ec33461eae115bf21005874eb50f56a4aa",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "physics.flu-dyn",
"submitted_at": "2021-07-16T12:56:09Z",
"title_canon_sha256": "e74cf10ab3e8038874a92b65779a1b555cec4e2a5ae599f4946f79ab19359a61"
},
"schema_version": "1.0",
"source": {
"id": "2107.07863",
"kind": "arxiv",
"version": 1
}
}