Pith Number
pith:FHD444MU
pith:2021:FHD444MUVUW2T3T4TR2Y2SGV3G
not attested
not anchored
not stored
refs pending
Estimating Nonplanar Flow from 2D Motion-blurred Widefield Microscopy Images via Deep Learning
arxiv:2102.07228 v1 · 2021-02-14 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FHD444MUVUW2T3T4TR2Y2SGV3G}
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 | 2026-07-05T02:15:13.891499Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
29c7ce7194ad2da9ee7c9c758d48d5d991b8bdeeca2175c3813a0e1555dffa9f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FHD444MUVUW2T3T4TR2Y2SGV3G \
| 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: 29c7ce7194ad2da9ee7c9c758d48d5d991b8bdeeca2175c3813a0e1555dffa9f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e6f5a86a94d5bc9edf3721a83830a07aaeb0e0d9f81130943e82f9005042f04b",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-02-14T19:44:28Z",
"title_canon_sha256": "70d4a0853815111918a60937470dd57f3db4c32e02d5a57eb527edde293c0ffc"
},
"schema_version": "1.0",
"source": {
"id": "2102.07228",
"kind": "arxiv",
"version": 1
}
}