Pith Number
pith:542UXZLW
pith:2018:542UXZLWD7NSC7Q7VIV4URMFKB
not attested
not anchored
not stored
refs pending
Accuracy-based Curriculum Learning in Deep Reinforcement Learning
arxiv:1806.09614 v2 · 2018-06-25 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{542UXZLWD7NSC7Q7VIV4URMFKB}
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 | 2026-05-18T00:05:13.907029Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ef354be5761fdb217e1faa2bca4585507848aee06a07d8b33d39e3a0a03c5247
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/542UXZLWD7NSC7Q7VIV4URMFKB \
| 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: ef354be5761fdb217e1faa2bca4585507848aee06a07d8b33d39e3a0a03c5247
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "352c2c253c263c895254acd8f017a2d4d4879f02f09d9480bed6b600b4461752",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-06-25T12:06:28Z",
"title_canon_sha256": "6187d59d979fa54e6f91c73669f150ad6cc7820edbd5f809bc4704f1ace8c28a"
},
"schema_version": "1.0",
"source": {
"id": "1806.09614",
"kind": "arxiv",
"version": 2
}
}