Pith Number
pith:M3RQK6BM
pith:2025:M3RQK6BMBVRHFGKXLOSHA3ZBWD
not attested
not anchored
not stored
refs pending
How to safely discard features based on aggregate SHAP values
arxiv:2503.23111 v1 · 2025-03-29 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M3RQK6BMBVRHFGKXLOSHA3ZBWD}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:41:30.887115Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
66e305782c0d627299575ba4706f21b0f11dbb74dec4490c0b11f12786ec7c5f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M3RQK6BMBVRHFGKXLOSHA3ZBWD \
| 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: 66e305782c0d627299575ba4706f21b0f11dbb74dec4490c0b11f12786ec7c5f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9ec7aa4df1043145aa36e8415e8fb16e7485afd569964cfa8685f8644c27492a",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-03-29T15:07:30Z",
"title_canon_sha256": "6348bd5b44c98775f504c90952a89511bd6bd30d43d8637acffa95c0aae2d0fc"
},
"schema_version": "1.0",
"source": {
"id": "2503.23111",
"kind": "arxiv",
"version": 1
}
}