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pith:INZWB3BG

pith:2026:INZWB3BG3HLYDHA7UXDW5EUI5D
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Learning What's Real: Disentangling Signal and Measurement Artifacts in Multi-Sensor Data, with Applications to Astrophysics

Carolina Cuesta-Lazaro, Daniel Muthukrishna, David W. Hogg, Jeroen Audenaert, Marc Huertas-Company, Pablo Mercader-Perez, V. Ashley Villar, William T. Freeman

Overlapping observations from different instruments train a model to isolate intrinsic galaxy signals from sensor artifacts.

arxiv:2604.09787 v2 · 2026-04-10 · astro-ph.IM · astro-ph.GA · cs.LG

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\pithnumber{INZWB3BG3HLYDHA7UXDW5EUI5D}

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4 Citations open
5 Replications open
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Claims

C1strongest claim

The resulting representations explicitly separate intrinsic signals from sensor-specific distortions and noise, and can be used for counterfactual view generation, parameter inference unconfounded by measurement distortions, and instrument-independent similarity search.

C2weakest assumption

That overlapping observations of the same physical objects across instruments provide sufficient signal to train a dual-encoder model to isolate sensor artifacts via counterfactual generation without additional labels or strong priors on the artifact distribution.

C3one line summary

A dual-encoder deep learning method disentangles intrinsic astrophysical signals from measurement artifacts by treating sensor effects as augmentations and using counterfactual generation on overlapping observations.

Receipt and verification
First computed 2026-06-09T01:05:17.078259Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

437360ec26d9d7819c1fa5c76e9288e8e886470907c6a27951879d2452dc993e

Aliases

arxiv: 2604.09787 · arxiv_version: 2604.09787v2 · doi: 10.48550/arxiv.2604.09787 · pith_short_12: INZWB3BG3HLY · pith_short_16: INZWB3BG3HLYDHA7 · pith_short_8: INZWB3BG
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/INZWB3BG3HLYDHA7UXDW5EUI5D \
  | 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: 437360ec26d9d7819c1fa5c76e9288e8e886470907c6a27951879d2452dc993e
Canonical record JSON
{
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      "cs.LG"
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "astro-ph.IM",
    "submitted_at": "2026-04-10T18:11:05Z",
    "title_canon_sha256": "f13a2f0f357443322222f16b5ec0c39e624240a00b4647a52c4350e971e1f94a"
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