{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:JCDFUTNOSB4XDV54ROMCZ3J76A","short_pith_number":"pith:JCDFUTNO","schema_version":"1.0","canonical_sha256":"48865a4dae907971d7bc8b982ced3ff02360439431929b7ccaa83e8d3de4379c","source":{"kind":"arxiv","id":"2501.13309","version":1},"attestation_state":"computed","paper":{"title":"Representing Visualization Insights as a Dense Insight Network","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Eunyee Koh, Jane Hoffswell, Jesse Martinez, Shunan Guo, Victor Soares Bursztyn","submitted_at":"2025-01-23T01:30:14Z","abstract_excerpt":"We propose a dense insight network framework to encode the relationships between automatically generated insights from a complex dashboard based on their shared characteristics. Our insight network framework includes five high-level categories of relationships (e.g., type, topic, value, metadata, and compound scores). The goal of this insight network framework is to provide a foundation for implementing new insight interpretation and exploration strategies, including both user-driven and automated approaches. To illustrate the complexity and flexibility of our framework, we first describe a vi"},"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":"2501.13309","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2025-01-23T01:30:14Z","cross_cats_sorted":[],"title_canon_sha256":"0cdbf28fd899787da0f77bd55527f0889b343a2e0a44c2c18522b8e2eb0cc3b4","abstract_canon_sha256":"f3c027037cff9cafebbbef6f4eb6a0c2c27ecec2b99bbce31761fbaf786afa01"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:04:26.690588Z","signature_b64":"zx/Ba6l7WAAwL2snSyWxF7rfeZ6KdfGu8xnzKm3zyrtfr9HW8rqDleKA8G9oKooL38k8XP9jD/65WCqP1az7Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"48865a4dae907971d7bc8b982ced3ff02360439431929b7ccaa83e8d3de4379c","last_reissued_at":"2026-07-05T10:04:26.690088Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:04:26.690088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Representing Visualization Insights as a Dense Insight Network","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Eunyee Koh, Jane Hoffswell, Jesse Martinez, Shunan Guo, Victor Soares Bursztyn","submitted_at":"2025-01-23T01:30:14Z","abstract_excerpt":"We propose a dense insight network framework to encode the relationships between automatically generated insights from a complex dashboard based on their shared characteristics. Our insight network framework includes five high-level categories of relationships (e.g., type, topic, value, metadata, and compound scores). The goal of this insight network framework is to provide a foundation for implementing new insight interpretation and exploration strategies, including both user-driven and automated approaches. To illustrate the complexity and flexibility of our framework, we first describe a vi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13309","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/2501.13309/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":"2501.13309","created_at":"2026-07-05T10:04:26.690159+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.13309v1","created_at":"2026-07-05T10:04:26.690159+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13309","created_at":"2026-07-05T10:04:26.690159+00:00"},{"alias_kind":"pith_short_12","alias_value":"JCDFUTNOSB4X","created_at":"2026-07-05T10:04:26.690159+00:00"},{"alias_kind":"pith_short_16","alias_value":"JCDFUTNOSB4XDV54","created_at":"2026-07-05T10:04:26.690159+00:00"},{"alias_kind":"pith_short_8","alias_value":"JCDFUTNO","created_at":"2026-07-05T10:04:26.690159+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/JCDFUTNOSB4XDV54ROMCZ3J76A","json":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A.json","graph_json":"https://pith.science/api/pith-number/JCDFUTNOSB4XDV54ROMCZ3J76A/graph.json","events_json":"https://pith.science/api/pith-number/JCDFUTNOSB4XDV54ROMCZ3J76A/events.json","paper":"https://pith.science/paper/JCDFUTNO"},"agent_actions":{"view_html":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A","download_json":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A.json","view_paper":"https://pith.science/paper/JCDFUTNO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.13309&json=true","fetch_graph":"https://pith.science/api/pith-number/JCDFUTNOSB4XDV54ROMCZ3J76A/graph.json","fetch_events":"https://pith.science/api/pith-number/JCDFUTNOSB4XDV54ROMCZ3J76A/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A/action/storage_attestation","attest_author":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A/action/author_attestation","sign_citation":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A/action/citation_signature","submit_replication":"https://pith.science/pith/JCDFUTNOSB4XDV54ROMCZ3J76A/action/replication_record"}},"created_at":"2026-07-05T10:04:26.690159+00:00","updated_at":"2026-07-05T10:04:26.690159+00:00"}