Pith Number
pith:E7VQMQ5K
pith:2026:E7VQMQ5KECMYAZ7RZT3PIREGQJ
not attested
not anchored
not stored
refs pending
A Distributionally Robust Framework for Learned Reconstructions in Inverse Problems
arxiv:2606.30230 v1 · 2026-06-29 · math.OC · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{E7VQMQ5KECMYAZ7RZT3PIREGQJ}
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
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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 | 2026-06-30T02:17:55.394297Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
27eb0643aa20998067f1ccf6f444868242e062e247088824f5e5feab8d7e295c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/E7VQMQ5KECMYAZ7RZT3PIREGQJ \
| 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: 27eb0643aa20998067f1ccf6f444868242e062e247088824f5e5feab8d7e295c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7778ac1c1497e3658f3a2d2a24d992906c2c6f97b9d1a2b2fa9bba998557d725",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "math.OC",
"submitted_at": "2026-06-29T12:43:21Z",
"title_canon_sha256": "74f098d416ed5e0e6d515be49290f55ec064fe4fb06366848390fb25c1658321"
},
"schema_version": "1.0",
"source": {
"id": "2606.30230",
"kind": "arxiv",
"version": 1
}
}