Pith Number
pith:NNZTHEQM
pith:2017:NNZTHEQM2XNZEDGLTGSZOE6BPH
not attested
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refs pending
Convolutional neural networks automate detection for tracking of submicron scale particles in 2D and 3D
arxiv:1704.03009 v2 · 2017-04-10 · q-bio.QM
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NNZTHEQM2XNZEDGLTGSZOE6BPH}
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
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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 | 2026-05-18T00:03:57.077428Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6b7333920cd5db920ccb99a59713c179ea25b3d40dd1d5117ba5e3a6b97ba2a4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NNZTHEQM2XNZEDGLTGSZOE6BPH \
| 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: 6b7333920cd5db920ccb99a59713c179ea25b3d40dd1d5117ba5e3a6b97ba2a4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bb2589ea78efe56442a327fb9d495e90f42ef09806ec09b82801a7f0592247a7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "q-bio.QM",
"submitted_at": "2017-04-10T18:39:46Z",
"title_canon_sha256": "d28d8a2cb72eb0b0e986b482c6b94b5676d737c1d3287f8e08c88a564b05e75c"
},
"schema_version": "1.0",
"source": {
"id": "1704.03009",
"kind": "arxiv",
"version": 2
}
}