Pith Number
pith:AQFDJ76H
pith:2023:AQFDJ76HEQYZILSY47SZ75GL22
not attested
not anchored
not stored
refs pending
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
arxiv:2304.05889 v1 · 2023-04-12 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AQFDJ76HEQYZILSY47SZ75GL22}
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 | 2026-07-05T06:00:25.337416Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
040a34ffc72431942e58e7e59ff4cbd68601512b90877ad1a481029cce0c70bb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQFDJ76HEQYZILSY47SZ75GL22 \
| 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: 040a34ffc72431942e58e7e59ff4cbd68601512b90877ad1a481029cce0c70bb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8fd84d0d8f4814168dec78261538e2946edaf6da798933f218e1b6c1c9dbfbcd",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-04-12T14:51:47Z",
"title_canon_sha256": "b2ffbad41857508e991f08a9721cc2103dae085b5dbccc42c0270af0d8c499aa"
},
"schema_version": "1.0",
"source": {
"id": "2304.05889",
"kind": "arxiv",
"version": 1
}
}