Pith Number
pith:MUCR3KQB
pith:2018:MUCR3KQBL5N27AZOYXJ5OAXXGI
not attested
not anchored
not stored
refs pending
Unlabelled Sensing: A Sparse Bayesian Learning Approach
arxiv:1802.00559 v1 · 2018-02-02 · cs.IT · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MUCR3KQBL5N27AZOYXJ5OAXXGI}
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
✓
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 | 2026-05-18T00:24:32.884248Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
65051daa015f5baf832ec5d3d702f7321a37287e98361c25d54e2f782d7915ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MUCR3KQBL5N27AZOYXJ5OAXXGI \
| 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: 65051daa015f5baf832ec5d3d702f7321a37287e98361c25d54e2f782d7915ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b73bcaac56c7f1262b5563915f30d58189e3febc0452ed73efe3fa090779a7ea",
"cross_cats_sorted": [
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2018-02-02T05:07:55Z",
"title_canon_sha256": "b8155c4535d20f0df4f5edb1c1daf06048395d7ab5238edf35ac0e993b097f97"
},
"schema_version": "1.0",
"source": {
"id": "1802.00559",
"kind": "arxiv",
"version": 1
}
}