Pith Number

pith:BK3ANGRX

pith:2026:BK3ANGRXOKNWD2QK7LNXH77BSS

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Stellar Density Classification and Regression for CSST Multi-color Imaging Using Deep Learning

Chao Liu, Hao Tian, Jialu Nie, Jianjun Chen, Jinzhi Lai, Man I Lam, Ming Yang, Xiaohan Chen, Xin Zhang

A two-stage deep learning model classifies CSST images into six stellar density levels and regresses bright star counts to adapt source extraction.

arxiv:2605.17445 v1 · 2026-05-17 · astro-ph.IM

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\usepackage{pith}
\pithnumber{BK3ANGRXOKNWD2QK7LNXH77BSS}

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4 Citations open

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Claims

C1strongest claim

A hierarchical two-stage deep learning model classifies CSST images into six stellar density categories with 98.83% global accuracy and regresses the number of bright stars (<23.5 mag) with a mean absolute error of 0.0824 dex, enabling density-adapted source extraction.

C2weakest assumption

The six discrete density categories and the training images used to learn them are assumed to be representative of the actual CSST multi-color imaging data distribution across the full dynamic range from voids to the Galactic center.

C3one line summary

A ResNet-34 classifier achieves 98.83% accuracy on six stellar density categories while a ResNet-50 regressor predicts bright-star counts with 0.0824 dex MAE for CSST image processing.

References

52 extracted · 52 resolved · 5 Pith anchors

[1] M., Abdalla, F., Allam, S., et al 2018

[2] 2019, Astronomy & Astrophysics, 627, A23 2019

[3] 2019, in Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, 2623–2631 17 2019

[4] 2025, Mock Observations for the CSST Mission: End-to-End Performance Modeling of Optical System, https://arxiv.org/abs/2511.06936 2025

[5] 2025, arXiv preprint arXiv:2511.03064 2025

Receipt and verification

First computed	2026-05-20T00:04:39.300388Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0ab6069a37729b61ea0afadb73ffe19492e22d1dcdaaf10d293cd78ce35e7c7e

Aliases

arxiv: 2605.17445 · arxiv_version: 2605.17445v1 · doi: 10.48550/arxiv.2605.17445 · pith_short_12: BK3ANGRXOKNW · pith_short_16: BK3ANGRXOKNWD2QK · pith_short_8: BK3ANGRX

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/BK3ANGRXOKNWD2QK7LNXH77BSS \
  | 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: 0ab6069a37729b61ea0afadb73ffe19492e22d1dcdaaf10d293cd78ce35e7c7e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0952730caa9d9662519a1f1f7e5b9c5e6f5c892a68afac24a977f241a36c8b91",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2026-05-17T13:32:29Z",
    "title_canon_sha256": "a21aeeabf6436482468356601e6edc99275c92452bb095d693eb69d1a65f532b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17445",
    "kind": "arxiv",
    "version": 1
  }
}