Pith Number
pith:FWD2MAKX
pith:2022:FWD2MAKXCPYMAUUOFWZX6LAREF
not attested
not anchored
not stored
refs pending
Machine Learning-based Urban Canyon Path Loss Prediction using 28 GHz Manhattan Measurements
arxiv:2202.05107 v1 · 2022-02-10 · cs.IT · eess.SP · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FWD2MAKXCPYMAUUOFWZX6LAREF}
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 | 2026-07-05T04:35:43.572810Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2d87a6015713f0c0528e2db37f2c11214a3f92a0c486dddf76d93499d70913c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FWD2MAKXCPYMAUUOFWZX6LAREF \
| 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: 2d87a6015713f0c0528e2db37f2c11214a3f92a0c486dddf76d93499d70913c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ae4cbfcb48805106db54059c6d7cdddb1d309c883713b503ae3a75059be91a2b",
"cross_cats_sorted": [
"eess.SP",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2022-02-10T15:50:46Z",
"title_canon_sha256": "6510d73320a8b37088552c68f60d9ef675fd9465923566716595691985cc1bf0"
},
"schema_version": "1.0",
"source": {
"id": "2202.05107",
"kind": "arxiv",
"version": 1
}
}