{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:JIQIDP62H72ITPAK4RPC4DAKG3","short_pith_number":"pith:JIQIDP62","schema_version":"1.0","canonical_sha256":"4a2081bfda3ff489bc0ae45e2e0c0a36dcaddbbda5aae987ea1a64c1aa3d9c81","source":{"kind":"arxiv","id":"2112.10272","version":3},"attestation_state":"computed","paper":{"title":"A Multi-Layout Design for Immersive Visualization of Network Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Chengbo Zheng, David Bauer, Kwan-Liu Ma, Oh-Hyun Kwon","submitted_at":"2021-12-19T22:21:05Z","abstract_excerpt":"Visualization plays a vital role in making sense of complex network data. Recent studies have shown the potential of using extended reality (XR) for the immersive exploration of networks. The additional depth cues offered by XR help users perform better in certain tasks when compared to using traditional desktop setups. However, prior works on immersive network visualization rely on mostly static graph layouts to present the data to the user. This poses a problem since there is no optimal layout for all possible tasks. The choice of layout heavily depends on the type of network and the task at"},"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":"2112.10272","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2021-12-19T22:21:05Z","cross_cats_sorted":[],"title_canon_sha256":"811ac5d6790dc595cb790891a9075a33f7a1392c7a0f94349d4e620edc0117bc","abstract_canon_sha256":"1f375f18d1d95d712bd81b27857e61d16837aa6f9160ec5852f3c98a9a98ec17"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:36:02.399909Z","signature_b64":"HNiu3S8UQ1zI9VwiN4RykFj9cnhUv6EbNq2eQcUNZ/GBhZuo59Cf8pYQSKa/QQ6vCdFHuTuANKapwLSAE19MAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a2081bfda3ff489bc0ae45e2e0c0a36dcaddbbda5aae987ea1a64c1aa3d9c81","last_reissued_at":"2026-07-05T05:36:02.399367Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:36:02.399367Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Multi-Layout Design for Immersive Visualization of Network Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Chengbo Zheng, David Bauer, Kwan-Liu Ma, Oh-Hyun Kwon","submitted_at":"2021-12-19T22:21:05Z","abstract_excerpt":"Visualization plays a vital role in making sense of complex network data. Recent studies have shown the potential of using extended reality (XR) for the immersive exploration of networks. The additional depth cues offered by XR help users perform better in certain tasks when compared to using traditional desktop setups. However, prior works on immersive network visualization rely on mostly static graph layouts to present the data to the user. This poses a problem since there is no optimal layout for all possible tasks. The choice of layout heavily depends on the type of network and the task at"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.10272","kind":"arxiv","version":3},"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/2112.10272/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":"2112.10272","created_at":"2026-07-05T05:36:02.399426+00:00"},{"alias_kind":"arxiv_version","alias_value":"2112.10272v3","created_at":"2026-07-05T05:36:02.399426+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.10272","created_at":"2026-07-05T05:36:02.399426+00:00"},{"alias_kind":"pith_short_12","alias_value":"JIQIDP62H72I","created_at":"2026-07-05T05:36:02.399426+00:00"},{"alias_kind":"pith_short_16","alias_value":"JIQIDP62H72ITPAK","created_at":"2026-07-05T05:36:02.399426+00:00"},{"alias_kind":"pith_short_8","alias_value":"JIQIDP62","created_at":"2026-07-05T05:36:02.399426+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/JIQIDP62H72ITPAK4RPC4DAKG3","json":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3.json","graph_json":"https://pith.science/api/pith-number/JIQIDP62H72ITPAK4RPC4DAKG3/graph.json","events_json":"https://pith.science/api/pith-number/JIQIDP62H72ITPAK4RPC4DAKG3/events.json","paper":"https://pith.science/paper/JIQIDP62"},"agent_actions":{"view_html":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3","download_json":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3.json","view_paper":"https://pith.science/paper/JIQIDP62","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2112.10272&json=true","fetch_graph":"https://pith.science/api/pith-number/JIQIDP62H72ITPAK4RPC4DAKG3/graph.json","fetch_events":"https://pith.science/api/pith-number/JIQIDP62H72ITPAK4RPC4DAKG3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3/action/storage_attestation","attest_author":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3/action/author_attestation","sign_citation":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3/action/citation_signature","submit_replication":"https://pith.science/pith/JIQIDP62H72ITPAK4RPC4DAKG3/action/replication_record"}},"created_at":"2026-07-05T05:36:02.399426+00:00","updated_at":"2026-07-05T05:36:02.399426+00:00"}