Pith Number
pith:KCNWT3YG
pith:2020:KCNWT3YG234NF2H7SCW7KKR7ZQ
not attested
not anchored
not stored
refs pending
Deep Learning Based FDD Non-Stationary Massive MIMO Downlink Channel Reconstruction
arxiv:2002.09858 v1 · 2020-02-23 · cs.IT · eess.SP · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KCNWT3YG234NF2H7SCW7KKR7ZQ}
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 | 2026-07-05T00:43:12.436491Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
509b69ef06d6f8d2e8ff90adf52a3fcc002d35c968331249fbf0aa6c4e00567a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KCNWT3YG234NF2H7SCW7KKR7ZQ \
| 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: 509b69ef06d6f8d2e8ff90adf52a3fcc002d35c968331249fbf0aa6c4e00567a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a37fc991163f8e6cb9be21af1ec6b8779e6591ebf398d7423953d28dca693a8c",
"cross_cats_sorted": [
"eess.SP",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2020-02-23T08:15:30Z",
"title_canon_sha256": "eef57bd72c80d7511a4da46efa44dd8fff5b7c71bd4a0e1d30477af1372a0f5e"
},
"schema_version": "1.0",
"source": {
"id": "2002.09858",
"kind": "arxiv",
"version": 1
}
}