{"paper":{"title":"LStein: A new approach to visualizing sparse 2.5-dimensional data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"LStein visualizes sparse 2.5D data by linking multiple series in one display to reduce information loss.","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Anais M\\\"oller, Christopher J. Fluke, Lukas Steinwender","submitted_at":"2026-04-27T04:36:54Z","abstract_excerpt":"Visualization of high-dimensional data is crucial to retrieve all the knowledge that is contained within a dataset. Effective and informative presentation of three-dimensional data via a two-dimensional medium is challenging, especially if the dataset more closely resembles a 2.5-dimensional (2.5D) entity due to sparse sampling. We present LStein (Linking Series to envision information neatly), a novel visualization approach implemented in Python, in an attempt to solve this challenge. Inspired by the astrophysical application of displaying photometric timeseries in multiple passbands with min"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"We present LStein (Linking Series to envision information neatly), a novel visualisation approach implemented in Python, in an attempt to solve this challenge.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the new method provides minimal loss of information compared to traditional approaches for sparse 2.5D data, which is asserted but not evidenced or detailed in the abstract.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"LStein is a new visualization technique that links data series to display sparse 2.5D information more effectively than traditional methods.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"LStein visualizes sparse 2.5D data by linking multiple series in one display to reduce information loss.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"1b8f874317f0539a9fa96f781af6161cb98ee05d77abb3fdeeefc8c15037d396"},"source":{"id":"2604.24034","kind":"arxiv","version":2},"verdict":{"id":"102b3277-5b37-47a1-b994-258948849cc4","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-08T01:33:08.105870Z","strongest_claim":"We present LStein (Linking Series to envision information neatly), a novel visualisation approach implemented in Python, in an attempt to solve this challenge.","one_line_summary":"LStein is a new visualization technique that links data series to display sparse 2.5D information more effectively than traditional methods.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the new method provides minimal loss of information compared to traditional approaches for sparse 2.5D data, which is asserted but not evidenced or detailed in the abstract.","pith_extraction_headline":"LStein visualizes sparse 2.5D data by linking multiple series in one display to reduce information loss."},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2604.24034/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-21T07:39:50.247987Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T22:31:31.256780Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"35497ee4489dddd327909436b9abc666fe9d3c51469e2e680ab34d3bf863ce17"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}