Pith Number
pith:BH7PRE7M
pith:2024:BH7PRE7MRSPBOTPNVSA3R6DNXP
not attested
not anchored
not stored
refs pending
UNIQ: Offline Inverse Q-learning for Avoiding Undesirable Demonstrations
arxiv:2410.08307 v1 · 2024-10-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BH7PRE7MRSPBOTPNVSA3R6DNXP}
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 | 2026-07-05T09:18:55.954369Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
09fef893ec8c9e174dedac81b8f86dbbcf0d2f0ffe910c91647c215c5266960f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BH7PRE7MRSPBOTPNVSA3R6DNXP \
| 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: 09fef893ec8c9e174dedac81b8f86dbbcf0d2f0ffe910c91647c215c5266960f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f7f905d5e259175ff5557e1d9b8f5312589407d1da1190f714affbe4bc7cf334",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-10-10T18:52:58Z",
"title_canon_sha256": "a50b774604b5f509f3704600828de93f539266bad447a7e485d1137cee13d166"
},
"schema_version": "1.0",
"source": {
"id": "2410.08307",
"kind": "arxiv",
"version": 1
}
}