Pith Number
pith:GYUTXJCW
pith:2017:GYUTXJCWLIGYPQFRSX5F3EL5W6
not attested
not anchored
not stored
refs pending
Risk-sensitive Inverse Reinforcement Learning via Semi- and Non-Parametric Methods
arxiv:1711.10055 v2 · 2017-11-28 · cs.AI · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GYUTXJCWLIGYPQFRSX5F3EL5W6}
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.
Receipt and verification
| First computed | 2026-05-18T00:20:24.061438Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
36293ba4565a0d87c0b195fa5d917db7b138c084a35aedbf311732dcfaf332ff
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GYUTXJCWLIGYPQFRSX5F3EL5W6 \
| 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: 36293ba4565a0d87c0b195fa5d917db7b138c084a35aedbf311732dcfaf332ff
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f8a6f87ee9a779dce008fe5be089df98d5e054a48248ffc562b97d406548c3e1",
"cross_cats_sorted": [
"cs.LG",
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2017-11-28T00:07:10Z",
"title_canon_sha256": "e2b27f6ff101399e4485dfce902a53f54793f67060fadfaacd2e3ce7ed98fa1a"
},
"schema_version": "1.0",
"source": {
"id": "1711.10055",
"kind": "arxiv",
"version": 2
}
}