Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:31:45.126851Z
Paper Citation Record · LEDGER
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T03:31:45.126851Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
18 of 18 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation bd2e5d80-1a77-45cc-9ad3-22175ea03ef0 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0815dd3-c0da-4776-9950-4d8cd2f871ca · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32dcb06c-f623-446b-8a80-5ac34718ebf1 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e9c86d9-cc75-447d-8f31-6c3db62ba374 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3108bab7-abe8-4db5-b329-93528746b7ff · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ef1e135-c83e-4e76-91c4-f14dcf536baf · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb5dd4c8-a227-4f2a-aacc-3fe31b9f83c9 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e0ed941-09ac-453b-a06d-07759af1412c · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a64e8a3b-0775-4502-a1e3-7459a0249782 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02d025cc-3f36-4246-b081-88f57a997e5a · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8401409-dbd6-41f2-9d77-5b4fa44c57a6 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f634aaa-5221-4103-9e7e-11d7abcb4e3e · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0c089d3-30cd-43d3-a031-8afb3441a07d · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5a53503-3788-49ad-8d4e-ab5ee3be1b0e · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bd6c944-f9a3-4fdf-bedf-c541321be6f9 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88ac01fd-6e01-4540-a8a0-9c1300a7c366 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b25136f-2765-4cf1-bc85-f5b87812a8ee · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f95dd6b-3e07-4795-94be-b12294233679 · outbound
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
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.