Pith Number
pith:GATEGUBF
pith:2021:GATEGUBFGDF2JMZB4YW7TBHKPY
not attested
not anchored
not stored
refs pending
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning
arxiv:2110.14118 v1 · 2021-10-27 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GATEGUBFGDF2JMZB4YW7TBHKPY}
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
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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 | 2026-07-05T03:26:24.044370Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
302643502530cba4b321e62df984ea7e215e57e6e88719346dd49a5d4501bdd6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GATEGUBFGDF2JMZB4YW7TBHKPY \
| 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: 302643502530cba4b321e62df984ea7e215e57e6e88719346dd49a5d4501bdd6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6edd2356371e3a8eec61256c039683e878e8a8827cabe322bdecdac68a480994",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-10-27T01:56:23Z",
"title_canon_sha256": "d2d36c4ff6d04d2b71d4091c23bf58a9770548ceeadd529cf1477645b59cd93f"
},
"schema_version": "1.0",
"source": {
"id": "2110.14118",
"kind": "arxiv",
"version": 1
}
}