Pith Number
pith:5MHMTJBM
pith:2019:5MHMTJBMQG67COHYGCMT5HLYHK
not attested
not anchored
not stored
refs pending
Using Natural Language for Reward Shaping in Reinforcement Learning
arxiv:1903.02020 v2 · 2019-03-05 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5MHMTJBMQG67COHYGCMT5HLYHK}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-17T23:44:37.663096Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eb0ec9a42c81bdf138f830993e9d783aa8a4cddb99a0d467f45f7c88ed0938d7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5MHMTJBMQG67COHYGCMT5HLYHK \
| 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: eb0ec9a42c81bdf138f830993e9d783aa8a4cddb99a0d467f45f7c88ed0938d7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5179ce8d85a0efef9d9911adf5cbdae03b5f531687a43794391f4d6806fac999",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-03-05T19:20:35Z",
"title_canon_sha256": "c0edeb7865489f672cdc0b8b574f44ae4ae58ada05fbdb28754fb5e396f101ad"
},
"schema_version": "1.0",
"source": {
"id": "1903.02020",
"kind": "arxiv",
"version": 2
}
}