Pith Number
pith:JWTO44US
pith:2021:JWTO44USEB2NBMSN7WRCGYSNI6
not attested
not anchored
not stored
refs pending
Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control
arxiv:2111.10005 v1 · 2021-11-19 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JWTO44USEB2NBMSN7WRCGYSNI6}
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 | 2026-07-05T09:26:12.676352Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4da6ee72922074d0b24dfda223624d4796f7606e273a84b87d7b5eb91afeeb92
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JWTO44USEB2NBMSN7WRCGYSNI6 \
| 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: 4da6ee72922074d0b24dfda223624d4796f7606e273a84b87d7b5eb91afeeb92
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ca32a1854f97b6de6280e7c3cda77bf74b4b27ab43b14f933b42c996a5527d45",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2021-11-19T01:55:57Z",
"title_canon_sha256": "dacde99189139a255107b1405604860fa63a21972c9f17c4613164e11dd5a611"
},
"schema_version": "1.0",
"source": {
"id": "2111.10005",
"kind": "arxiv",
"version": 1
}
}