Pith Number

pith:TKADPU2K

pith:2026:TKADPU2KVH3FH6GKSPFBC3VGFU

not attested not anchored not stored refs pending

Sherpa.ai Privacy-Preserving Multi-Party Entity Alignment without Intersection Disclosure for Noisy Identifiers

Daniel M. Jimenez-Gutierrez, Dario Pighin, Enrique Zuazua, Georgios Kellaris, Joaquin Del Rio, Oleksii Sliusarenko, Xabi Uribe-Etxebarria

A multi-party private set union protocol enables privacy-preserving entity alignment in vertical federated learning without disclosing shared samples.

arxiv:2604.19219 v2 · 2026-04-21 · cs.CR · cs.AI · cs.DC · cs.LG

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\usepackage{pith}
\pithnumber{TKADPU2KVH3FH6GKSPFBC3VGFU}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ 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.

Claims

C1strongest claim

We introduce the Sherpa.ai multi-party PSU protocol for VFL, a PPEA method that hides intersection membership and enables both exact and noisy matching. We prove correctness and privacy, analyze communication and computational (exponentiation) complexity, and formalize a universal index mapping from local records to a shared index space.

C2weakest assumption

The protocol assumes that standard cryptographic primitives for multi-party computation can be securely composed to achieve the claimed privacy properties against the stated adversary model, and that the unordered variant can reliably handle the specific types of typographical and formatting noise present in real identifiers without additional false positives or privacy leakage.

C3one line summary

Sherpa.ai presents a multi-party PSU protocol for vertical federated learning that hides intersection membership and supports exact and noisy identifier matching with proven correctness and privacy.

Receipt and verification

First computed	2026-05-20T00:03:12.032741Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9a8037d34aa9f653f8ca93ca116ea62d0d1ae4771e2ccd9ffc525717c5a44e64

Aliases

arxiv: 2604.19219 · arxiv_version: 2604.19219v2 · doi: 10.48550/arxiv.2604.19219 · pith_short_12: TKADPU2KVH3F · pith_short_16: TKADPU2KVH3FH6GK · pith_short_8: TKADPU2K

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TKADPU2KVH3FH6GKSPFBC3VGFU \
  | 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: 9a8037d34aa9f653f8ca93ca116ea62d0d1ae4771e2ccd9ffc525717c5a44e64

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b9a1482226f2fc899f5ae1495d512bc32f983d65f025b7bd9b9be9cce8c2f8f0",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.DC",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CR",
    "submitted_at": "2026-04-21T08:24:07Z",
    "title_canon_sha256": "2bdb4aae4f41a0384103f9f297098a36f2dcbc783ad0f60016c5aee5fd1bc360"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.19219",
    "kind": "arxiv",
    "version": 2
  }
}