Pith Number
pith:LHD4FFQC
pith:2018:LHD4FFQC6LQNLTVXDMTYTPO7ZH
not attested
not anchored
not stored
refs pending
Mobile Collaborative Spectrum Sensing for Heterogeneous Networks: A Bayesian Machine Learning Approach
arxiv:1809.03069 v2 · 2018-09-10 · cs.IT · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LHD4FFQC6LQNLTVXDMTYTPO7ZH}
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 | 2026-05-18T00:00:08.057753Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59c7c29602f2e0d5ceb71b2789bddfc9ce3247963d31018f6ea3a17ecf643c1c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LHD4FFQC6LQNLTVXDMTYTPO7ZH \
| 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: 59c7c29602f2e0d5ceb71b2789bddfc9ce3247963d31018f6ea3a17ecf643c1c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "87b7ef3ddf3999c38ff7473bd306cd1f7b56052cebce67935e6257f980bb3229",
"cross_cats_sorted": [
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2018-09-10T00:39:24Z",
"title_canon_sha256": "bf58a22d403ace97d105dcb15ce8445b4bc2be57f6be20db519761a8d59eb9fc"
},
"schema_version": "1.0",
"source": {
"id": "1809.03069",
"kind": "arxiv",
"version": 2
}
}