pith:D5UPXKKZ
Prediction-Intervention Games and Invariant Sets
In prediction-intervention games, stable-blanket predictors are always at least as good as causal-parent predictors for two common follower objective classes.
arxiv:2605.16828 v1 · 2026-05-16 · stat.ML · cs.AI · cs.LG · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D5UPXKKZ64HMJUYREGZQT2I2RK}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
We prove, for two common classes of follower objectives, that predictors based on the stable blanket, a specific invariant subset, are always better or as good as those based on the causal parents.
The leader knows the intervention targets but may have limited knowledge of the follower's objective; the proof relies on the follower objectives belonging to two specific common classes whose exact definitions are not given in the abstract.
In prediction-intervention games, stable-blanket predictors are at least as good as causal-parent predictors for two classes of follower objectives and can be worst-case optimal under additional conditions.
References
Formal links
Receipt and verification
| First computed | 2026-05-20T00:03:24.792170Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f68fba959f70ec4d31121b309e91a8a932f284a6e896089e7bf2a05e9c6ead6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D5UPXKKZ64HMJUYREGZQT2I2RK \
| 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: 1f68fba959f70ec4d31121b309e91a8a932f284a6e896089e7bf2a05e9c6ead6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d205b5646e4535d43ca1afb2dbcce8109a40573c2984fdb34d205508697204ac",
"cross_cats_sorted": [
"cs.AI",
"cs.LG",
"stat.ME"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2026-05-16T06:15:41Z",
"title_canon_sha256": "33b69664fc71426d6bdaf25ea21999d4db44729cf40f913b92cd1d34d03d6662"
},
"schema_version": "1.0",
"source": {
"id": "2605.16828",
"kind": "arxiv",
"version": 1
}
}