Pith Number

pith:5HTYBDGX

pith:2026:5HTYBDGXEPIRX2STGGK3RCW6AE

not attested not anchored not stored refs pending

Towards reconstructing experimental sparse-view X-ray CT data with diffusion models

Ezgi Demircan-Tureyen, Felix Lucka, Nelas J. Thomsen, Xinyuan Wang

Diffusion priors trained on diverse synthetic data reconstruct experimental sparse-view X-ray CT scans better than narrow priors, with annealing reducing mismatch artifacts.

arxiv:2602.12755 v3 · 2026-02-13 · cs.CV

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\usepackage{pith}
\pithnumber{5HTYBDGXEPIRX2STGGK3RCW6AE}

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Record completeness

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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

Our results reveal that domain shift plays a nuanced role: while severe mismatch causes model collapse and hallucinations, diverse priors outperform well-matched but narrow priors. Forward model mismatch pulls the image samples away from the prior manifold, which causes artifacts but can be mitigated with annealed likelihood schedules.

C2weakest assumption

The physical phantom sufficiently resembles the synthetic Shepp-Logan phantom and that the Decomposed Diffusion Sampling scheme correctly balances the learned prior against the real forward model without introducing unaccounted biases in the experimental setting.

C3one line summary

Diffusion priors trained on diverse synthetic data outperform narrow matched priors for experimental sparse-view CT reconstruction, but forward model mismatch introduces artifacts that annealed likelihood schedules can mitigate.

Receipt and verification

First computed	2026-05-20T00:04:25.367337Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e9e7808cd723d11bea533195b88ade011c61d970dea2953b8560f29c6647e6ad

Aliases

arxiv: 2602.12755 · arxiv_version: 2602.12755v3 · doi: 10.48550/arxiv.2602.12755 · pith_short_12: 5HTYBDGXEPIR · pith_short_16: 5HTYBDGXEPIRX2ST · pith_short_8: 5HTYBDGX

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/5HTYBDGXEPIRX2STGGK3RCW6AE \
  | 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: e9e7808cd723d11bea533195b88ade011c61d970dea2953b8560f29c6647e6ad

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "659cd5cbc58dc8d3d7b8437c2244f666cfb9dca6208150ea35aae843b630526b",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-02-13T09:33:39Z",
    "title_canon_sha256": "01806d0c3653e085497cea95266a2a95c4acfba1475460323b394ced9935264f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.12755",
    "kind": "arxiv",
    "version": 3
  }
}