Pith Number
pith:PKVN3R5E
pith:2021:PKVN3R5EMX4Q7YH7VGVGLBBQYX
not attested
not anchored
not stored
refs pending
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments
arxiv:2101.07599 v1 · 2021-01-19 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PKVN3R5EMX4Q7YH7VGVGLBBQYX}
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 | 2026-07-05T02:07:59.406628Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7aaaddc7a465f90fe0ffa9aa658430c5c5ab3d0fad22cf784edc479bf924a885
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PKVN3R5EMX4Q7YH7VGVGLBBQYX \
| 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: 7aaaddc7a465f90fe0ffa9aa658430c5c5ab3d0fad22cf784edc479bf924a885
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "38938b3957473a21f3948399286938d819295946de37f5b5da73982ef3871bf0",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2021-01-19T12:57:12Z",
"title_canon_sha256": "00a915a0ff1908d8509fdff5ff2d7c6b35810e7d024d5fd1eb74b104b0ee0382"
},
"schema_version": "1.0",
"source": {
"id": "2101.07599",
"kind": "arxiv",
"version": 1
}
}