Pith Number
pith:PR57MQJR
pith:2023:PR57MQJRCG2PTCVMWYO4ZGK2XS
not attested
not anchored
not stored
refs pending
Spatial Deep Learning for Site-Specific Movement Optimization of Aerial Base Stations
arxiv:2312.10490 v1 · 2023-12-16 · cs.IT · cs.LG · math.IT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PR57MQJRCG2PTCVMWYO4ZGK2XS}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T07:25:07.637400Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c7bf6413111b4f98aacb61dcc995abcac5199fefd6d9ca5eaad8b24dd0ed2cc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PR57MQJRCG2PTCVMWYO4ZGK2XS \
| 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: 7c7bf6413111b4f98aacb61dcc995abcac5199fefd6d9ca5eaad8b24dd0ed2cc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "29b0594a8d3ac67c59b397853c69102e2907b4f8870126ab757f4fed7a0d50d3",
"cross_cats_sorted": [
"cs.LG",
"math.IT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IT",
"submitted_at": "2023-12-16T15:52:13Z",
"title_canon_sha256": "6bcc363c30323ec934b5c51ff72c2feda9cad153eb517e185779bff0773b4524"
},
"schema_version": "1.0",
"source": {
"id": "2312.10490",
"kind": "arxiv",
"version": 1
}
}