Pith Number
pith:642QPLHY
pith:2024:642QPLHYY5VHOUEZNKYO25EW3S
not attested
not anchored
not stored
refs pending
Deep Learning-aided Parametric Sparse Channel Estimation for Terahertz Massive MIMO Systems
arxiv:2405.07255 v1 · 2024-05-12 · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{642QPLHYY5VHOUEZNKYO25EW3S}
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 | 2026-07-05T08:18:19.705878Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f73507acf8c76a7750996ab0ed7496dcb98cc59109f595372ed3e601e3a9f022
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/642QPLHYY5VHOUEZNKYO25EW3S \
| 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: f73507acf8c76a7750996ab0ed7496dcb98cc59109f595372ed3e601e3a9f022
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c7a42d6f5d01b1a0fd15038148d84995f76919878bca55b7f01af162a6c7d6c",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2024-05-12T11:20:31Z",
"title_canon_sha256": "79f4c80a1aff227e254bb79ec022003665d7ee71416a4627dbe7e7456efe415c"
},
"schema_version": "1.0",
"source": {
"id": "2405.07255",
"kind": "arxiv",
"version": 1
}
}