Pith Number
pith:RERHSAXB
pith:2021:RERHSAXBRNY4E2MOYO2B5Y2ADT
not attested
not anchored
not stored
refs pending
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning
arxiv:2104.04174 v1 · 2021-04-09 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RERHSAXBRNY4E2MOYO2B5Y2ADT}
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
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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 | 2026-07-05T02:30:36.381773Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
89227902e18b71c2698ec3b41ee3401ccc410f475fb6c740e14feeb75d0fb7b4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RERHSAXBRNY4E2MOYO2B5Y2ADT \
| 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: 89227902e18b71c2698ec3b41ee3401ccc410f475fb6c740e14feeb75d0fb7b4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ef171dec43c03cebe6af27a366e633199e166941544eaf3a0b5f16b98935b227",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-04-09T03:13:35Z",
"title_canon_sha256": "1a2cd7f7af2ccaddc683c25387277e40a894000559bda8bb811612a4a5a716af"
},
"schema_version": "1.0",
"source": {
"id": "2104.04174",
"kind": "arxiv",
"version": 1
}
}