Pith Number
pith:QRGYWJPC
pith:2022:QRGYWJPC2SX5QTOFZHZ4VCQLLG
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refs pending
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic Experts
arxiv:2212.07328 v2 · 2022-12-14 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QRGYWJPC2SX5QTOFZHZ4VCQLLG}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T05:45:36.258754Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
844d8b25e2d4afd84dc5c9f3ca8a0b599080b7991392e2ccabc66c1ab169badf
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QRGYWJPC2SX5QTOFZHZ4VCQLLG \
| 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: 844d8b25e2d4afd84dc5c9f3ca8a0b599080b7991392e2ccabc66c1ab169badf
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bccfd6adb91430181b2ca1f9cb1b7e84647b8c3343fedfeee4b14eea36e12eb3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-12-14T16:48:21Z",
"title_canon_sha256": "99f3e49c3ecb35827eb76caad2dca65ddb597b166ebbb43994f54403e07a9583"
},
"schema_version": "1.0",
"source": {
"id": "2212.07328",
"kind": "arxiv",
"version": 2
}
}