Pith Number
pith:LQQWMAHJ
pith:2014:LQQWMAHJ5FYLOAR4E5MBCCRJ44
not attested
not anchored
not stored
refs pending
An Unsupervised Ensemble-based Markov Random Field Approach to Microscope Cell Image Segmentation
arxiv:1410.7265 v1 · 2014-10-27 · cs.CV · cs.AI · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LQQWMAHJ5FYLOAR4E5MBCCRJ44}
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
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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 | 2026-05-18T02:39:10.217508Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5c216600e9e970b7023c2758110a29e702d9b16f7d5d292c89d18f4773e5e33a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LQQWMAHJ5FYLOAR4E5MBCCRJ44 \
| 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: 5c216600e9e970b7023c2758110a29e702d9b16f7d5d292c89d18f4773e5e33a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8a58e2a7763e4e4826a08f2c0507aa3b66b2b5676b9ed257dd3a8117dc834a77",
"cross_cats_sorted": [
"cs.AI",
"q-bio.QM"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2014-10-27T14:58:28Z",
"title_canon_sha256": "307977d0e1c2ac0342098c01a78995df370ec180f57d028e4c1d81d9de4ff068"
},
"schema_version": "1.0",
"source": {
"id": "1410.7265",
"kind": "arxiv",
"version": 1
}
}