{"as_of":"2026-08-02T19:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85b1d455d25bb2cad3b03421bcf648f338e8ea8f8a21dd1d22b9812c64878ce1","coverage":[{"denominator":18,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T03:31:45.126851Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-02T06:30:47.504484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.03285/citation-record","integrity":"/paper/2607.03285/integrity","json":"/paper/2607.03285/citation-record.json","paper":"/paper/2607.03285"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"An all-photonic focal-plane wavefront sensor,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:75be9cbd707b79be1083d6a2ea9ac891a65b67cc9403bcc551d2bdbd7154538c","observation_id":"bd2e5d80-1a77-45cc-9ad3-22175ea03ef0","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Optimal broad- band starlight injection into a single-mode fibre with integrated photonic wavefront sensing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:dc333d0b3d0a226f5a6e02bae30485c78bcd7284c2b9df95344e9b4b1e79f14f","observation_id":"d0815dd3-c0da-4776-9950-4d8cd2f871ca","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Kernel nulling at VLTI with photonic lanterns for optimal fibre injection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:56376ff47de62f00605fc77076b6a9291e757c453d3a6c36e1eda37436c80e20","observation_id":"32dcb06c-f623-446b-8a80-5ac34718ebf1","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Seidr update: photonic ‘black magic’ for high-contrast interferometry using kernel-nulling and photonic lanterns,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:2bfd46cb03ea14605a945f16f9ee87b6c897b40b2bad279981d8021c7de30eba","observation_id":"8e9c86d9-cc75-447d-8f31-6c3db62ba374","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"High-angular resolution and high contrast observations from Y to L band at the Very Large Telescope Interferometer with the Asgard Instrumental suite,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:5fe6288458e5342cb5315a2ab56ce489c5dc859655caa8c02f1390da48a645eb","observation_id":"3108bab7-abe8-4db5-b329-93528746b7ff","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Heimdallr, Baldr, and Solarstein: designing the next generation of VLTI instruments in the Asgard suite,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:0a663e06061409f64927dc7c015898370cc78b80fd045b8a28c394a92bfd9c24","observation_id":"5ef1e135-c83e-4e76-91c4-f14dcf536baf","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Baldr: a Zernike wavefront sensor for VLTI/Asgard,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:5c89ade403300fe72347fb9de0a713441f000de408a31e4d007695842f97c443","observation_id":"eb5dd4c8-a227-4f2a-aacc-3fe31b9f83c9","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Asgard/NOTT: L-band nulling interferometry at the VLTI. II. Warm optical design and injection system,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:f0b7044e75e0271fdccab936537682a247c9f27153e7836a39278a76ab0e5ab7","observation_id":"7e0ed941-09ac-453b-a06d-07759af1412c","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"L., [Beam propagation method for design of optical waveguide devices], John Wiley & Sons (2015)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:38505ae9ba0c720a192fdc2a5c6b76cb0346f1fc9deff125b3b02b86376cbf81","observation_id":"a64e8a3b-0775-4502-a1e3-7459a0249782","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Efficient nonuniform schemes for paraxial and wide-angle finite-difference beam propagation methods,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:ae58f3ca8d7e1fcc83b62b6720a042e417f383cf5d0dc0322ab29234a4d8a74e","observation_id":"02d025cc-3f36-4246-b081-88f57a997e5a","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"D., [Numerical simulation of optical wave propagation with examples in MATLAB], SPIE, Bellingham, Wash","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:47e8dbdab83b95959134115ddd0df6c9487e968793ef56a498d06da013a4a89b","observation_id":"f8401409-dbd6-41f2-9d77-5b4fa44c57a6","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"The spectrum of turbulence,","venue":null,"work_id":null,"year":1938},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:8a491bc87c130fd35575a23c52bb06a0961b1d48f98ee47fb828716c8b89eefc","observation_id":"9f634aaa-5221-4103-9e7e-11d7abcb4e3e","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Zernike polynomials and atmospheric turbulence,","venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:ae985a6d34a5ea2b400814e0d12a78dc39eb812997d4b214479eb05376a06fcc","observation_id":"d0c089d3-30cd-43d3-a031-8afb3441a07d","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Learning the lantern: neural network applications to broadband photonic lantern modeling,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:96be25d0adf6b6d795dcdaa57cd1538225318ee40609b0637f814eb25a4d71be","observation_id":"f5a53503-3788-49ad-8d4e-ab5ee3be1b0e","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"ImageNet classification with deep convolutional neural networks,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:96ebf32814aa0122c64cd2b59380f9f87c2a6a29e4edd28f98adf9dd9b3c4f1d","observation_id":"9bd6c944-f9a3-4fdf-bedf-c541321be6f9","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:60c9c44234ae214cfd0de6e70b8f5234938891f001a5d52a1e81cf256924a679","observation_id":"88ac01fd-6e01-4540-a8a0-9c1300a7c366","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Adam: A method for stochastic optimization,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:9c4227ec210f612ab9cd6d620ca87c6d8fcd534659a3a07d497462c485f857fe","observation_id":"5b25136f-2765-4cf1-bc85-f5b87812a8ee","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-12T03:31:45.126851Z","title":"Strehl ratio for primary aberrations in terms of their aberration variance,","venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-12T03:31:45.126851Z"},"links":{"citing_paper":"/paper/2607.03285"},"observation_digest":"sha256:f373d5389c5adbf3839193f9f8c641c90765b564333e764d10b134809d0c8271","observation_id":"4f95dd6b-3e07-4795-94be-b12294233679","resolution":{"observed_at":"2026-07-12T03:31:45.126851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.03285","last_updated":"2026-07-03T12:53:20Z","latest_version":1,"primary_category":"physics.optics","snapshot_observed_at":"2026-07-12T03:31:44.747065Z","submitted_at":"2026-07-03T12:53:20Z","title":"Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning"},"reference_resolution":{"displayed":18,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":18},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-02T06:30:47.504484+00:00","source":"crossref"},{"observed_at":"2026-08-02T06:30:44.765945+00:00","source":"retraction_watch"}],"thesis":"As of 2 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.03285."}