Pith Number

pith:B5P5PCPW

pith:2026:B5P5PCPWMR36CPRBJ5FFSCCG5Z

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CPCANet: Deep Unfolding Common Principal Component Analysis for Domain Generalization

Abd-Krim Seghouane, Yu-Hsi Chen

Unfolding the Flury-Gautschi algorithm into neural layers lets common principal component analysis discover domain-invariant subspaces directly inside end-to-end training.

arxiv:2605.05136 v3 · 2026-05-06 · cs.CV

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\usepackage{pith}
\pithnumber{B5P5PCPWMR36CPRBJ5FFSCCG5Z}

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Record completeness

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

Experiments on four standard DG benchmarks demonstrate that CPCANet achieves state-of-the-art (SOTA) performance in zero-shot transfer. Moreover, CPCANet is architecture-agnostic and requires no dataset-specific tuning.

C2weakest assumption

That the common principal components discovered by the unfolded Flury-Gautschi algorithm represent truly domain-invariant features that remain useful for the downstream task without losing critical information.

C3one line summary

CPCANet deep-unfolds Common PCA to learn domain-invariant subspaces, achieving state-of-the-art zero-shot domain generalization on standard benchmarks.

Receipt and verification

First computed	2026-06-09T01:05:18.764310Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0f5fd789f66477e13e214f4a590846ee7452ec9aa313ee6475e77eed46856779

Aliases

arxiv: 2605.05136 · arxiv_version: 2605.05136v3 · doi: 10.48550/arxiv.2605.05136 · pith_short_12: B5P5PCPWMR36 · pith_short_16: B5P5PCPWMR36CPRB · pith_short_8: B5P5PCPW

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5P5PCPWMR36CPRBJ5FFSCCG5Z \
  | 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: 0f5fd789f66477e13e214f4a590846ee7452ec9aa313ee6475e77eed46856779

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8031470b3c6dc9b3e575efb0f1c883dd249f497c44634e4687fd04c887290c11",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-06T17:09:34Z",
    "title_canon_sha256": "411668754c7010b38d29a73dd4c891a3f9dae61ba2205434a488cd62286e41d5"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.05136",
    "kind": "arxiv",
    "version": 3
  }
}