{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3DLXHY6RDLTLUS2JEEPYALWHVN","merge_version":"pith-open-graph-merge-v1","event_count":8,"valid_event_count":8,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4f55c6450c71f0d4167663dda8308eaee238ca86f06d0bfbb3ce9f2286cae8df","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T12:01:54Z","title_canon_sha256":"f4066c1c9a9340bb835f353114c8a77aa77a1499e164e69cc911cec5d66ce818"},"schema_version":"1.0","source":{"id":"2605.23540","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.23540","created_at":"2026-05-25T02:01:59Z"},{"alias_kind":"arxiv_version","alias_value":"2605.23540v1","created_at":"2026-05-25T02:01:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.23540","created_at":"2026-05-25T02:01:59Z"},{"alias_kind":"pith_short_12","alias_value":"3DLXHY6RDLTL","created_at":"2026-05-25T02:01:59Z"},{"alias_kind":"pith_short_16","alias_value":"3DLXHY6RDLTLUS2J","created_at":"2026-05-25T02:01:59Z"},{"alias_kind":"pith_short_8","alias_value":"3DLXHY6R","created_at":"2026-05-25T02:01:59Z"}],"graph_snapshots":[{"event_id":"sha256:2c4648664be42e1ed299370665d1402097594f815a44f93570da82727dd72a6e","target":"graph","created_at":"2026-05-25T02:01:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.23540/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dimensionality Reduction (DR) methods are widely used to visualize high-dimensional data. One key task in DR-based analysis is discovering neighborhoods, which relies on analyzing the fine-grained local structure of a projection. However, DR is an inherently lossy process; no technique can perfectly preserve the high-dimensional relationships, and projections therefore contain visual artifacts. In this paper, we highlight a typically overlooked source of visual artifacts: ambiguous instances. These are instances that are highly similar to multiple mutually dissimilar neighborhoods in the high-","authors_text":"Alessio Arleo, Diede P.M. van der Hoorn, Fernando V. Paulovich","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T12:01:54Z","title":"When One Point Is Not Enough: Addressing Ambiguous Instances in Dimensionality Reduction by Splitting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.23540","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:cd3906cab2431e12789ae073ce506ce0528c240439143a5405703277402aa3cd","target":"record","created_at":"2026-05-25T02:01:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4f55c6450c71f0d4167663dda8308eaee238ca86f06d0bfbb3ce9f2286cae8df","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-22T12:01:54Z","title_canon_sha256":"f4066c1c9a9340bb835f353114c8a77aa77a1499e164e69cc911cec5d66ce818"},"schema_version":"1.0","source":{"id":"2605.23540","kind":"arxiv","version":1}},"canonical_sha256":"d8d773e3d11ae6ba4b49211f802ec7ab7d464728ad4f160e161fc4d1787f609b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8d773e3d11ae6ba4b49211f802ec7ab7d464728ad4f160e161fc4d1787f609b","first_computed_at":"2026-05-25T02:01:59.990562Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:59.990562Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h9pgbPjtbE70Z/oIrneEE0vctpNlgBTCL4X6tsbtonPpSVL9k40tevBqHqJye56iP07lZRNEdTpD+rDFK3HfDQ==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:59.991459Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.23540","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:084017567c720ead721a07a43bfacf6807e1799108591416f2012bc549c531ca","sha256:1e08fcda09bb56ee806115d9ea57d452877303f2146dec7b01d4e91284fce9f0","sha256:8a530bf304c2cf0e16fc1627af323edce5971767070339ade906eaf54fcd313f","sha256:b010aaae0d68abf7d9ec780f2f33165937f1e4cd13a8c77a9c9ac0bfb9f32a89","sha256:da3d7592da3c838d6c691d6d6f8261a909a6e635c703b0314c296d7ebdabbab3","sha256:dbb448750eafdbb1b8693aa30bb15dce83b378f01997adc885c8893d72196d7d"]}],"invalid_events":[],"applied_event_ids":["sha256:cd3906cab2431e12789ae073ce506ce0528c240439143a5405703277402aa3cd","sha256:2c4648664be42e1ed299370665d1402097594f815a44f93570da82727dd72a6e"],"state_sha256":"4d638a13ac5f059151f1fe2c59e6d9f3513356e312d0873120036c045d6db830"}