Pith Number

pith:MPMLJM6W

pith:2026:MPMLJM6W6X6AWJGOWCT7QD5WUK

not attested not anchored not stored refs resolved

Accelerating Redshift-Conditioned Galaxy Image Synthesis with One-step Generative Modeling

Sandro Tacchella, Tianyue Yang, Xiao Xue

One-step generative models recover key galaxy morphology statistics from redshift-conditioned images at orders-of-magnitude lower cost than standard diffusion sampling.

arxiv:2605.17546 v1 · 2026-05-17 · astro-ph.IM · astro-ph.GA · cs.LG

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\usepackage{pith}
\pithnumber{MPMLJM6W6X6AWJGOWCT7QD5WUK}

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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

✓ Portable graph bundle live · download bundle · merged state

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 demonstrate that one-step generative models can recover key galaxy morphology statistics at orders-of-magnitude lower computational cost, opening a path toward efficient conditional simulators for large cosmological surveys and simulation-based scientific inference.

C2weakest assumption

That the chosen morphology-based metrics (ellipticity, semi-major axis, Sérsic index, isophotal area) are sufficient proxies for the scientific usefulness of the generated images in downstream cosmological analyses and inference tasks.

C3one line summary

One-step pixel-MeanFlow models recover key galaxy morphology statistics at orders-of-magnitude lower computational cost than standard DDPM sampling while remaining weaker on fine-grained structure.

References

65 extracted · 65 resolved · 15 Pith anchors

[1] doi:10.1088/0067-0049/203/2/21 , eid = 2012 · doi:10.1088/0067-0049/203/2/21

[2] Accurate effective fluid approximation for ultralight axions 2022 · doi:10.1103/physrevd.105

[3] 2019, A&A, 625, A2, doi:10.1051/0004-6361/201834918 2019 · doi:10.1051/0004-6361/201834918

[4] Second data release of the Hyper Suprime-Cam Subaru Strategic Program 2019

[5] arXiv e-prints , keywords = 2024

Receipt and verification

First computed	2026-05-20T00:04:45.116494Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

63d8b4b3d6f5fc0b24ceb0a7f80fb6a2ab0e24e0e4334e063d4baed7d8c31913

Aliases

arxiv: 2605.17546 · arxiv_version: 2605.17546v1 · doi: 10.48550/arxiv.2605.17546 · pith_short_12: MPMLJM6W6X6A · pith_short_16: MPMLJM6W6X6AWJGO · pith_short_8: MPMLJM6W

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/MPMLJM6W6X6AWJGOWCT7QD5WUK \
  | 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: 63d8b4b3d6f5fc0b24ceb0a7f80fb6a2ab0e24e0e4334e063d4baed7d8c31913

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "bb91f8f8713c75f0556a9fd3ffa544c517cf10064d8e1b624f8626eaf1e9a2fa",
    "cross_cats_sorted": [
      "astro-ph.GA",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2026-05-17T17:00:39Z",
    "title_canon_sha256": "f87a888d023401e9f7d8aba59264fb2f2bab83d1a6b864c3d56a98c06c334adc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.17546",
    "kind": "arxiv",
    "version": 1
  }
}