Pith Number
pith:JZIMXY4L
pith:2018:JZIMXY4LFDNE6FKWFPHRDBZ3LN
not attested
not anchored
not stored
refs pending
Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach
arxiv:1812.03633 v1 · 2018-12-10 · cs.NI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JZIMXY4LFDNE6FKWFPHRDBZ3LN}
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 | 2026-05-17T23:58:44.266481Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e50cbe38b28da4f15562bcf11873b5b60d5ac46b9e3c3b294c3e7313bf60d03
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JZIMXY4LFDNE6FKWFPHRDBZ3LN \
| 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: 4e50cbe38b28da4f15562bcf11873b5b60d5ac46b9e3c3b294c3e7313bf60d03
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8b3bd9280c9889dce99c1a7842f7d280481cd3f76457c6969b0bd4a4285dfc97",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NI",
"submitted_at": "2018-12-10T05:43:42Z",
"title_canon_sha256": "121e49424c6e6f50c9ed10b6cbab79258546aa75031336028a05191be3199597"
},
"schema_version": "1.0",
"source": {
"id": "1812.03633",
"kind": "arxiv",
"version": 1
}
}