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Paper Citation Record · LEDGER

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning

As of 31 July 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.03285.

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pith.paper-citation-record.v1
2607.03285 v1

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measured 18 of 18 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-07-12T03:31:45.126851Z

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Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00

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18 of 18 outbound references displayed

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Outbound references

Observation bd2e5d80-1a77-45cc-9ad3-22175ea03ef0 · outbound

This paper cites An all-photonic focal-plane wavefront sensor,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning An all-photonic focal-plane wavefront sensor,

Reference 1

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Observation d0815dd3-c0da-4776-9950-4d8cd2f871ca · outbound

This paper cites Optimal broad- band starlight injection into a single-mode fibre with integrated photonic wavefront sensing,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Optimal broad- band starlight injection into a single-mode fibre with integrated photonic wavefront sensing,

Reference 2

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Observation 32dcb06c-f623-446b-8a80-5ac34718ebf1 · outbound

This paper cites Kernel nulling at VLTI with photonic lanterns for optimal fibre injection,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Kernel nulling at VLTI with photonic lanterns for optimal fibre injection,

Reference 3

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Observation 8e9c86d9-cc75-447d-8f31-6c3db62ba374 · outbound

This paper cites Seidr update: photonic ‘black magic’ for high-contrast interferometry using kernel-nulling and photonic lanterns,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Seidr update: photonic ‘black magic’ for high-contrast interferometry using kernel-nulling and photonic lanterns,

Reference 4

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Observation 3108bab7-abe8-4db5-b329-93528746b7ff · outbound

This paper cites High-angular resolution and high contrast observations from Y to L band at the Very Large Telescope Interferometer with the Asgard Instrumental suite,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning High-angular resolution and high contrast observations from Y to L band at the Very Large Telescope Interferometer with the Asgard Instrumental suite,

Reference 5

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Observation 5ef1e135-c83e-4e76-91c4-f14dcf536baf · outbound

This paper cites Heimdallr, Baldr, and Solarstein: designing the next generation of VLTI instruments in the Asgard suite,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Heimdallr, Baldr, and Solarstein: designing the next generation of VLTI instruments in the Asgard suite,

Reference 6

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Observation eb5dd4c8-a227-4f2a-aacc-3fe31b9f83c9 · outbound

This paper cites Baldr: a Zernike wavefront sensor for VLTI/Asgard,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Baldr: a Zernike wavefront sensor for VLTI/Asgard,

Reference 7

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Observation 7e0ed941-09ac-453b-a06d-07759af1412c · outbound

This paper cites Asgard/NOTT: L-band nulling interferometry at the VLTI. II. Warm optical design and injection system,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Asgard/NOTT: L-band nulling interferometry at the VLTI. II. Warm optical design and injection system,

Reference 8

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Observation a64e8a3b-0775-4502-a1e3-7459a0249782 · outbound

This paper cites L., [Beam propagation method for design of optical waveguide devices], John Wiley & Sons (2015).

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning L., [Beam propagation method for design of optical waveguide devices], John Wiley & Sons (2015)

Reference 9

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Observation 02d025cc-3f36-4246-b081-88f57a997e5a · outbound

This paper cites Efficient nonuniform schemes for paraxial and wide-angle finite-difference beam propagation methods,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Efficient nonuniform schemes for paraxial and wide-angle finite-difference beam propagation methods,

Reference 10

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Observation f8401409-dbd6-41f2-9d77-5b4fa44c57a6 · outbound

This paper cites D., [Numerical simulation of optical wave propagation with examples in MATLAB], SPIE, Bellingham, Wash.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning D., [Numerical simulation of optical wave propagation with examples in MATLAB], SPIE, Bellingham, Wash

Reference 11

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Observation 9f634aaa-5221-4103-9e7e-11d7abcb4e3e · outbound

This paper cites The spectrum of turbulence,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning The spectrum of turbulence,

Reference 12

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Observation d0c089d3-30cd-43d3-a031-8afb3441a07d · outbound

This paper cites Zernike polynomials and atmospheric turbulence,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Zernike polynomials and atmospheric turbulence,

Reference 13

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Observation f5a53503-3788-49ad-8d4e-ab5ee3be1b0e · outbound

This paper cites Learning the lantern: neural network applications to broadband photonic lantern modeling,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Learning the lantern: neural network applications to broadband photonic lantern modeling,

Reference 14

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Observation 9bd6c944-f9a3-4fdf-bedf-c541321be6f9 · outbound

This paper cites ImageNet classification with deep convolutional neural networks,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning ImageNet classification with deep convolutional neural networks,

Reference 15

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Observation 88ac01fd-6e01-4540-a8a0-9c1300a7c366 · outbound

This paper cites Attention is all you need,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Attention is all you need,

Reference 16

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Observation 5b25136f-2765-4cf1-bc85-f5b87812a8ee · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Adam: A Method for Stochastic Optimization

Reference 17

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Observation 4f95dd6b-3e07-4795-94be-b12294233679 · outbound

This paper cites Strehl ratio for primary aberrations in terms of their aberration variance,.

Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning Strehl ratio for primary aberrations in terms of their aberration variance,

Reference 18

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