Pith Number
pith:HFJZFU7R
pith:2021:HFJZFU7RNDX3W7UDPS3O6QOCOT
not attested
not anchored
not stored
refs pending
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
arxiv:2107.00481 v1 · 2021-06-30 · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HFJZFU7RNDX3W7UDPS3O6QOCOT}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T02:54:24.998738Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
395392d3f168efbb7e837cb6ef41c274cfa73579ad6c19b30aa003a44c433aa4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HFJZFU7RNDX3W7UDPS3O6QOCOT \
| 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: 395392d3f168efbb7e837cb6ef41c274cfa73579ad6c19b30aa003a44c433aa4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ae51ce2cf23e54ae7c34b3addf7e61460ca37d3ddc42e5ea589eb770775da9ec",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-30T16:49:07Z",
"title_canon_sha256": "4e1e07762e44bda82d008913cca606b0a73cffc04661547cd669c4d7ecbc029e"
},
"schema_version": "1.0",
"source": {
"id": "2107.00481",
"kind": "arxiv",
"version": 1
}
}