Pith Number
pith:LHJK6CGE
pith:2022:LHJK6CGE45Z3KCYKTKXPJBNKGT
not attested
not anchored
not stored
refs pending
MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations
arxiv:2212.05698 v1 · 2022-12-12 · cs.LG · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LHJK6CGE45Z3KCYKTKXPJBNKGT}
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 | 2026-07-05T05:24:18.631589Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59d2af08c4e773b50b0a9aaef485aa34ec25759ae380d53c4c091a8805e5d122
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LHJK6CGE45Z3KCYKTKXPJBNKGT \
| 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: 59d2af08c4e773b50b0a9aaef485aa34ec25759ae380d53c4c091a8805e5d122
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "57807b1ebfde20342744861dbf760cdd286ed12e60e4b1cf395fe109c077c5b7",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-12-12T04:28:50Z",
"title_canon_sha256": "c9e8b81d6dc049239f5a8d8c0b726e5f0be6a01f5abb11db0a14cbfd8c69158a"
},
"schema_version": "1.0",
"source": {
"id": "2212.05698",
"kind": "arxiv",
"version": 1
}
}