Pith Number
pith:B6N75HTU
pith:2022:B6N75HTUAXUVSMTXHTKZKJLSUH
not attested
not anchored
not stored
refs pending
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning
arxiv:2201.00762 v2 · 2022-01-03 · cs.LG · cs.AI · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{B6N75HTUAXUVSMTXHTKZKJLSUH}
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 | 2026-07-05T04:44:19.438733Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0f9bfe9e7405e95932773cd5952572a1c5dee8e905fc2892963202760a4f3365
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B6N75HTUAXUVSMTXHTKZKJLSUH \
| 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: 0f9bfe9e7405e95932773cd5952572a1c5dee8e905fc2892963202760a4f3365
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "492c72ae67cd2c8a9c387908fdf67f454aa4dd4d8a57f619c3ec8badcd632226",
"cross_cats_sorted": [
"cs.AI",
"cs.CR"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-03T17:09:32Z",
"title_canon_sha256": "26301eaa6ca31e34500ac145ad0bd7751e0f367389b3d7637fd2988810d8f8e9"
},
"schema_version": "1.0",
"source": {
"id": "2201.00762",
"kind": "arxiv",
"version": 2
}
}