Pith Number
pith:EOSXBVP4
pith:2023:EOSXBVP4CHZSJMSUIRDHY2ATTH
not attested
not anchored
not stored
refs pending
A Bayesian Approach to Robust Inverse Reinforcement Learning
arxiv:2309.08571 v2 · 2023-09-15 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EOSXBVP4CHZSJMSUIRDHY2ATTH}
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
✓
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 | 2026-07-05T08:05:02.294215Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23a570d5fc11f324b25444467c681399d1d01b20c32c8ad01c19f84728a37ef6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EOSXBVP4CHZSJMSUIRDHY2ATTH \
| 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: 23a570d5fc11f324b25444467c681399d1d01b20c32c8ad01c19f84728a37ef6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9fbe0d4411f67bec90cccd339e1e9780cbbdc69a908e343a08a48f79d63c3dcf",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-09-15T17:37:09Z",
"title_canon_sha256": "1ed0081898b37caaa5eefac6ec40529daa9d8a334b900df79e06da718ce2ad7d"
},
"schema_version": "1.0",
"source": {
"id": "2309.08571",
"kind": "arxiv",
"version": 2
}
}