Pith Number
pith:3FCAE5ME
pith:2018:3FCAE5ME4Q4MF6XLMLC6HKHXKA
not attested
not anchored
not stored
refs pending
Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography
arxiv:1805.06332 v1 · 2018-05-16 · cs.CV · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3FCAE5ME4Q4MF6XLMLC6HKHXKA}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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4
Citations
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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 | 2026-05-18T00:11:49.057328Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d944027584e438c2faeb62c5e3a8f7503005ae498504f9c78a607a0fd72b25ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3FCAE5ME4Q4MF6XLMLC6HKHXKA \
| 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: d944027584e438c2faeb62c5e3a8f7503005ae498504f9c78a607a0fd72b25ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "300d029e8636e49d99d05ba8045dfff4cf385c60915a6c0d7d47bd34ffe53293",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-05-16T13:58:09Z",
"title_canon_sha256": "e52b3d9c849b73138a349cb8d1c048d1a5240b07dd15924ecbf2b105a81d2dc6"
},
"schema_version": "1.0",
"source": {
"id": "1805.06332",
"kind": "arxiv",
"version": 1
}
}