Pith Number
pith:GAG5EOGN
pith:2024:GAG5EOGNIMCDYAMBHRKHFM5MLP
not attested
not anchored
not stored
refs pending
Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN
arxiv:2410.14021 v1 · 2024-10-17 · cs.NI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GAG5EOGNIMCDYAMBHRKHFM5MLP}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:22:26.004925Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
300dd238cd43043c01813c5472b3ac5bcfc47af16350d4860736ac58727114a5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GAG5EOGNIMCDYAMBHRKHFM5MLP \
| 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: 300dd238cd43043c01813c5472b3ac5bcfc47af16350d4860736ac58727114a5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fba1c11db07b37dcd8d90bb7a92b2ab21807f5b2686f7206d7dec0027209f288",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2024-10-17T20:48:37Z",
"title_canon_sha256": "a7884715e6e40c7f36942a7cf7340d32214fe730052b138d63b995d9565b4fa3"
},
"schema_version": "1.0",
"source": {
"id": "2410.14021",
"kind": "arxiv",
"version": 1
}
}