Pith Number
pith:FAEW2I2I
pith:2026:FAEW2I2IO73OLGOIRFIDYU5J3R
not attested
not anchored
not stored
refs pending
Distributionally Robust Linear Regression With Block Lewis Weights
arxiv:2607.00252 v1 · 2026-06-30 · cs.LG · cs.DS · math.OC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FAEW2I2IO73OLGOIRFIDYU5J3R}
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 | 2026-07-02T00:18:41.181501Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
28096d234877f6e599c889503c53a9dc71617176878c62622c65d7e1bfc13645
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FAEW2I2IO73OLGOIRFIDYU5J3R \
| 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: 28096d234877f6e599c889503c53a9dc71617176878c62622c65d7e1bfc13645
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0bbe550a0f94a2100b5257e8ea0bc6362f4248c100fa2aed7ab9cf40fa8f76a4",
"cross_cats_sorted": [
"cs.DS",
"math.OC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-30T23:01:08Z",
"title_canon_sha256": "7c0030e71ec52df2180865d26141d8a1f0d97b03d4a5ade4b92d84172f9a180e"
},
"schema_version": "1.0",
"source": {
"id": "2607.00252",
"kind": "arxiv",
"version": 1
}
}