Pith Number
pith:XG2Q3FXV
pith:2016:XG2Q3FXVGHI3K4SUTTAJ37KQ7Y
not attested
not anchored
not stored
refs pending
Information Theoretically Aided Reinforcement Learning for Embodied Agents
arxiv:1605.09735 v1 · 2016-05-31 · cs.AI · cs.RO · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XG2Q3FXVGHI3K4SUTTAJ37KQ7Y}
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.
Receipt and verification
| First computed | 2026-05-18T01:13:10.253708Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b9b50d96f531d1b572549cc09dfd50fe2655222466066a01f720b3472b62dd4f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XG2Q3FXVGHI3K4SUTTAJ37KQ7Y \
| 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: b9b50d96f531d1b572549cc09dfd50fe2655222466066a01f720b3472b62dd4f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "886cef9ad974aafffe70c6d6822a48299b91181500a1afb9473d1d45d06a3c05",
"cross_cats_sorted": [
"cs.RO",
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2016-05-31T17:30:54Z",
"title_canon_sha256": "855bb6779fba55b872a6b89279245c3dac9a7f40f852dadecb8768cf91a4e3e9"
},
"schema_version": "1.0",
"source": {
"id": "1605.09735",
"kind": "arxiv",
"version": 1
}
}