{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:WZSTNP3PX3D2LOXMHOFD3GJLAG","short_pith_number":"pith:WZSTNP3P","schema_version":"1.0","canonical_sha256":"b66536bf6fbec7a5baec3b8a3d992b0188710b76c1b373c945312c9771c0e6a1","source":{"kind":"arxiv","id":"2507.07890","version":1},"attestation_state":"computed","paper":{"title":"Hi-d maps: An interactive visualization technique for multi-dimensional categorical data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Benjamin A Watson, Radi Muhammad Reza","submitted_at":"2025-07-10T16:20:37Z","abstract_excerpt":"In this paper, we present Hi-D maps, a novel method for the visualization of multi-dimensional categorical data. Our work addresses the scarcity of techniques for visualizing a large number of data-dimensions in an effective and space-efficient manner. We have mapped the full data-space onto a 2D regular polygonal region. The polygon is cut hierarchically with lines parallel to a user-controlled, ordered sequence of sides, each representing a dimension. We have used multiple visual cues such as orientation, thickness, color, countable glyphs, and text to depict cross-dimensional information. W"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.07890","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-07-10T16:20:37Z","cross_cats_sorted":[],"title_canon_sha256":"6e984e30c7d843cc73126c5c8b67d15342d60bd177ac05829c23dc0249514401","abstract_canon_sha256":"b0bdce7247911b19c97f7aca21179f42fa6376dafe5bfd4d134c7242f3a52f24"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:06.688627Z","signature_b64":"AbaGS7xXOTf+tHDmhS9smgbaRwpDXZyHWq8IVOyN+phoxZ1B4GBgebVEPb2CZTa5SjcF0DnbL2y9JO0VdXzwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b66536bf6fbec7a5baec3b8a3d992b0188710b76c1b373c945312c9771c0e6a1","last_reissued_at":"2026-07-05T11:35:06.688094Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:06.688094Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Hi-d maps: An interactive visualization technique for multi-dimensional categorical data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GR","authors_text":"Benjamin A Watson, Radi Muhammad Reza","submitted_at":"2025-07-10T16:20:37Z","abstract_excerpt":"In this paper, we present Hi-D maps, a novel method for the visualization of multi-dimensional categorical data. Our work addresses the scarcity of techniques for visualizing a large number of data-dimensions in an effective and space-efficient manner. We have mapped the full data-space onto a 2D regular polygonal region. The polygon is cut hierarchically with lines parallel to a user-controlled, ordered sequence of sides, each representing a dimension. We have used multiple visual cues such as orientation, thickness, color, countable glyphs, and text to depict cross-dimensional information. W"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07890","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.07890/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.07890","created_at":"2026-07-05T11:35:06.688154+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.07890v1","created_at":"2026-07-05T11:35:06.688154+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07890","created_at":"2026-07-05T11:35:06.688154+00:00"},{"alias_kind":"pith_short_12","alias_value":"WZSTNP3PX3D2","created_at":"2026-07-05T11:35:06.688154+00:00"},{"alias_kind":"pith_short_16","alias_value":"WZSTNP3PX3D2LOXM","created_at":"2026-07-05T11:35:06.688154+00:00"},{"alias_kind":"pith_short_8","alias_value":"WZSTNP3P","created_at":"2026-07-05T11:35:06.688154+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG","json":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG.json","graph_json":"https://pith.science/api/pith-number/WZSTNP3PX3D2LOXMHOFD3GJLAG/graph.json","events_json":"https://pith.science/api/pith-number/WZSTNP3PX3D2LOXMHOFD3GJLAG/events.json","paper":"https://pith.science/paper/WZSTNP3P"},"agent_actions":{"view_html":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG","download_json":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG.json","view_paper":"https://pith.science/paper/WZSTNP3P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.07890&json=true","fetch_graph":"https://pith.science/api/pith-number/WZSTNP3PX3D2LOXMHOFD3GJLAG/graph.json","fetch_events":"https://pith.science/api/pith-number/WZSTNP3PX3D2LOXMHOFD3GJLAG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG/action/storage_attestation","attest_author":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG/action/author_attestation","sign_citation":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG/action/citation_signature","submit_replication":"https://pith.science/pith/WZSTNP3PX3D2LOXMHOFD3GJLAG/action/replication_record"}},"created_at":"2026-07-05T11:35:06.688154+00:00","updated_at":"2026-07-05T11:35:06.688154+00:00"}