Pith Number
pith:OQCPN7VP
pith:2020:OQCPN7VPGRW2LU3YFNCQNGY4H7
not attested
not anchored
not stored
refs pending
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation
arxiv:2009.08346 v2 · 2020-09-17 · eess.SP · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OQCPN7VPGRW2LU3YFNCQNGY4H7}
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
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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 | 2026-07-05T02:12:30.539469Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7404f6feaf346da5d3782b45069b1c3fe475d162b378ef1e4d7330166a66a538
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OQCPN7VPGRW2LU3YFNCQNGY4H7 \
| 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: 7404f6feaf346da5d3782b45069b1c3fe475d162b378ef1e4d7330166a66a538
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3c384d5fc79bc6498972040e0c15ce7e36e8634acf208972edba0ba82533d10c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.SP",
"submitted_at": "2020-09-17T14:52:12Z",
"title_canon_sha256": "42c03f0c624ee39536653c94d624c0de7fb180477cea15b6d9900b00a2f33972"
},
"schema_version": "1.0",
"source": {
"id": "2009.08346",
"kind": "arxiv",
"version": 2
}
}