Pith Number

pith:YKL2PZJJ

pith:2026:YKL2PZJJXQBTQC2HGERLZDCUCN

not attested not anchored not stored refs resolved

DUET: Dual-Paradigm Adaptive Expert Triage with Single-cell Inductive Prior for Spatial Transcriptomics Prediction

Chongyu Qu, Haichun Yang, Juming Xiong, Junchao Zhu, Junlin Guo, Marilyn Lionts, Ruining Deng, Shilin Zhao, Tianyuan Yao, Yanfan Zhu, Yuankai Huo, Yuechen Yang, Yu Wang, Zhengyi Lu

DUET predicts spatial gene expression from histology images by combining regression and retrieval under single-cell constraints.

arxiv:2605.14104 v1 · 2026-05-13 · cs.CV

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\usepackage{pith}
\pithnumber{YKL2PZJJXQBTQC2HGERLZDCUCN}

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Record completeness

1 Bitcoin timestamp

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

DUET achieves SOTA performance, with consistent gains contributed by each proposed component.

C2weakest assumption

That large-scale single-cell references can reliably impose molecular states as biological constraints to mitigate aleatoric vision ambiguity in histology images.

C3one line summary

DUET adaptively merges parametric prediction and single-cell retrieval to achieve state-of-the-art inference of spatial gene expression from histology images.

References

40 extracted · 40 resolved · 0 Pith anchors

[1] Spatial transcriptomics coming of age.Nature Reviews Genetics, 20(6):317–317, 2019 2019

[2] A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart.Cell, 179(7):1647–1660, 2019 2019

[3] Spatially re- solved transcriptomes—next generation tools for tissue exploration.Bioessays, 42(10):1900221, 2020 2020

[4] Advances and challenges in spatial transcriptomics for developmental biology.Biomolecules, 13(1):156, 2023 2023

[5] Advances in spatial transcriptomics and its applications in cancer research.Molecular Cancer, 23(1):129, 2024 2024

Receipt and verification

First computed	2026-05-17T23:39:12.067689Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c297a7e529bc03380b473122bc8c54137fb86dd751569a6ebd4bfc8284b74f6a

Aliases

arxiv: 2605.14104 · arxiv_version: 2605.14104v1 · doi: 10.48550/arxiv.2605.14104 · pith_short_12: YKL2PZJJXQBT · pith_short_16: YKL2PZJJXQBTQC2H · pith_short_8: YKL2PZJJ

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/YKL2PZJJXQBTQC2HGERLZDCUCN \
  | 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: c297a7e529bc03380b473122bc8c54137fb86dd751569a6ebd4bfc8284b74f6a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f52f708b3089fd2ee1ea1cc3b1726d5d660029baf3ea89d949d03931a4da13fe",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-13T20:43:29Z",
    "title_canon_sha256": "11cd3e73259f9079b77a3a8706efa9aad2825b8fa7022d5bc55306987d43889e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14104",
    "kind": "arxiv",
    "version": 1
  }
}