Pith Number
pith:DOCLTGML
pith:2024:DOCLTGMLIFL2Y5LX7PZZVCSHCY
not attested
not anchored
not stored
refs pending
Asynchronous Stochastic Approximation with Applications to Average-Reward Reinforcement Learning
arxiv:2409.03915 v3 · 2024-09-05 · cs.LG · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DOCLTGMLIFL2Y5LX7PZZVCSHCY}
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 | 2026-06-02T01:03:29.217931Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b84b9998b4157ac7577fbf39a8a47162c2bdf135d5a98780dffcd3fb538c089
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DOCLTGMLIFL2Y5LX7PZZVCSHCY \
| 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: 1b84b9998b4157ac7577fbf39a8a47162c2bdf135d5a98780dffcd3fb538c089
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dfd8f38b7d3d0efe2194b166e65e7a9f63ea21cdc55d547b0e563a0bd52ad591",
"cross_cats_sorted": [
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-09-05T21:23:51Z",
"title_canon_sha256": "e61ab771f677e6874f62f2903a9094db3eeb8b327f9c1dc93efe66ff7328dee1"
},
"schema_version": "1.0",
"source": {
"id": "2409.03915",
"kind": "arxiv",
"version": 3
}
}