Pith Number
pith:FA3TH2VJ
pith:2020:FA3TH2VJRXDPIWT3V5GLVW22H2
not attested
not anchored
not stored
refs pending
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension
arxiv:2011.05927 v3 · 2020-11-11 · cs.LG · cs.SY · eess.SY · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FA3TH2VJRXDPIWT3V5GLVW22H2}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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 | 2026-07-05T04:08:56.045130Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
283733eaa98dc6f45a7baf4cbadb5a3ea015447eec521f20d17fdf08e59d5932
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FA3TH2VJRXDPIWT3V5GLVW22H2 \
| 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: 283733eaa98dc6f45a7baf4cbadb5a3ea015447eec521f20d17fdf08e59d5932
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c669b70fda69e2e306ae52ec8f2b3fd806ab588600142b90f8544c40454c28f1",
"cross_cats_sorted": [
"cs.SY",
"eess.SY",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-11-11T17:35:25Z",
"title_canon_sha256": "1a35c71e5c6d0be7154c005314e742478d73ba80ed3b3cd8a6273feb18b4c275"
},
"schema_version": "1.0",
"source": {
"id": "2011.05927",
"kind": "arxiv",
"version": 3
}
}