{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:TU5OU5PWINMFS36XEEJ3DNUGYS","short_pith_number":"pith:TU5OU5PW","schema_version":"1.0","canonical_sha256":"9d3aea75f64358596fd72113b1b686c48c2ca54daa455c4bddb05dae667672a1","source":{"kind":"arxiv","id":"2309.13185","version":1},"attestation_state":"computed","paper":{"title":"Visualizing Topological Importance: A Class-Driven Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Brian Summa, Brittany Terese Fasy, Carola Wenk, Yu Qin","submitted_at":"2023-09-22T21:20:41Z","abstract_excerpt":"This paper presents the first approach to visualize the importance of topological features that define classes of data. Topological features, with their ability to abstract the fundamental structure of complex data, are an integral component of visualization and analysis pipelines. Although not all topological features present in data are of equal importance. To date, the default definition of feature importance is often assumed and fixed. This work shows how proven explainable deep learning approaches can be adapted for use in topological classification. In doing so, it provides the first tec"},"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":"2309.13185","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2023-09-22T21:20:41Z","cross_cats_sorted":[],"title_canon_sha256":"f7b28ff53d3a608fd73cbea7e1d0af6e8a866d5bdbd64e884ee4b6ac70a65ce4","abstract_canon_sha256":"16fd473765a04150ab6e25c896e28f59a852a90dde40d11155c9fddd36e7f3f0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:53:48.426359Z","signature_b64":"V6ndtPCRwQvUaCCbXxUnd4B1O81Fk+che9nufu6ENxKt6tEb+mfDncHvdLHM+3uBjsj/+PvmGro4jGStcHsBDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9d3aea75f64358596fd72113b1b686c48c2ca54daa455c4bddb05dae667672a1","last_reissued_at":"2026-07-05T06:53:48.425943Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:53:48.425943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Visualizing Topological Importance: A Class-Driven Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Brian Summa, Brittany Terese Fasy, Carola Wenk, Yu Qin","submitted_at":"2023-09-22T21:20:41Z","abstract_excerpt":"This paper presents the first approach to visualize the importance of topological features that define classes of data. Topological features, with their ability to abstract the fundamental structure of complex data, are an integral component of visualization and analysis pipelines. Although not all topological features present in data are of equal importance. To date, the default definition of feature importance is often assumed and fixed. This work shows how proven explainable deep learning approaches can be adapted for use in topological classification. In doing so, it provides the first tec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.13185","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/2309.13185/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":"2309.13185","created_at":"2026-07-05T06:53:48.425999+00:00"},{"alias_kind":"arxiv_version","alias_value":"2309.13185v1","created_at":"2026-07-05T06:53:48.425999+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.13185","created_at":"2026-07-05T06:53:48.425999+00:00"},{"alias_kind":"pith_short_12","alias_value":"TU5OU5PWINMF","created_at":"2026-07-05T06:53:48.425999+00:00"},{"alias_kind":"pith_short_16","alias_value":"TU5OU5PWINMFS36X","created_at":"2026-07-05T06:53:48.425999+00:00"},{"alias_kind":"pith_short_8","alias_value":"TU5OU5PW","created_at":"2026-07-05T06:53:48.425999+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/TU5OU5PWINMFS36XEEJ3DNUGYS","json":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS.json","graph_json":"https://pith.science/api/pith-number/TU5OU5PWINMFS36XEEJ3DNUGYS/graph.json","events_json":"https://pith.science/api/pith-number/TU5OU5PWINMFS36XEEJ3DNUGYS/events.json","paper":"https://pith.science/paper/TU5OU5PW"},"agent_actions":{"view_html":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS","download_json":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS.json","view_paper":"https://pith.science/paper/TU5OU5PW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2309.13185&json=true","fetch_graph":"https://pith.science/api/pith-number/TU5OU5PWINMFS36XEEJ3DNUGYS/graph.json","fetch_events":"https://pith.science/api/pith-number/TU5OU5PWINMFS36XEEJ3DNUGYS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS/action/storage_attestation","attest_author":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS/action/author_attestation","sign_citation":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS/action/citation_signature","submit_replication":"https://pith.science/pith/TU5OU5PWINMFS36XEEJ3DNUGYS/action/replication_record"}},"created_at":"2026-07-05T06:53:48.425999+00:00","updated_at":"2026-07-05T06:53:48.425999+00:00"}