Pith Number

pith:UL72R6SK

pith:2026:UL72R6SKWPBXVBF6BOQNVGFSWK

not attested not anchored not stored refs pending

Progressive $\mathcal{J}$-Invariant Self-supervised Learning for Low-Dose CT Denoising

Junwen Guo, Yichao Liu, YueYang Teng, Zongru Shao

A progressive J-invariant self-supervised method achieves low-dose CT denoising performance comparable to supervised approaches without needing paired normal-dose images.

arxiv:2601.14180 v4 · 2026-01-20 · cs.CV

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\usepackage{pith}
\pithnumber{UL72R6SKWPBXVBF6BOQNVGFSWK}

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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

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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

Extensive experiments on the Mayo LDCT dataset demonstrate that the proposed method consistently outperforms existing self-supervised approaches and achieves performance comparable to, or better than, several representative supervised denoising methods.

C2weakest assumption

The assumption that the step-wise blind-spot mechanism with progressive conditional independence enforcement, combined with controlled Gaussian and Poisson noise injection, will reliably improve denoising without introducing new artifacts or bias on real clinical data.

C3one line summary

A progressive J-invariant self-supervised learning framework for low-dose CT denoising outperforms prior self-supervised methods and matches some supervised ones on the Mayo dataset.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-25T02:02:12.418455Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a2ffa8fa4ab3c37a84be0ba0da98b2b2a74553272473d046851ef00ebbdc8e46

Aliases

arxiv: 2601.14180 · arxiv_version: 2601.14180v4 · doi: 10.48550/arxiv.2601.14180 · pith_short_12: UL72R6SKWPBX · pith_short_16: UL72R6SKWPBXVBF6 · pith_short_8: UL72R6SK

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UL72R6SKWPBXVBF6BOQNVGFSWK \
  | 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: a2ffa8fa4ab3c37a84be0ba0da98b2b2a74553272473d046851ef00ebbdc8e46

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "c0c66757dc5c305aaff0b55d1b24cb82b9ad4e17af3624bc11940f6e5a2e6147",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-01-20T17:35:02Z",
    "title_canon_sha256": "cf31c3fa7b7a65fa496f3a4284647bef26c7d0fd0dbe87f1c2f1616c5a373870"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.14180",
    "kind": "arxiv",
    "version": 4
  }
}