{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:BVIGHNR5JNOBV5H5TUDZK7YEN4","short_pith_number":"pith:BVIGHNR5","schema_version":"1.0","canonical_sha256":"0d5063b63d4b5c1af4fd9d07957f046f0f4999797c5fdf4ae3d581a55cc8c2f7","source":{"kind":"arxiv","id":"1704.04133","version":2},"attestation_state":"computed","paper":{"title":"Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.MM"],"primary_cat":"cs.CV","authors_text":"Alexander Wong, Devinder Kumar, Graham W. Taylor","submitted_at":"2017-04-13T13:44:33Z","abstract_excerpt":"In this work, we propose CLass-Enhanced Attentive Response (CLEAR): an approach to visualize and understand the decisions made by deep neural networks (DNNs) given a specific input. CLEAR facilitates the visualization of attentive regions and levels of interest of DNNs during the decision-making process. It also enables the visualization of the most dominant classes associated with these attentive regions of interest. As such, CLEAR can mitigate some of the shortcomings of heatmap-based methods associated with decision ambiguity, and allows for better insights into the decision-making process "},"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":"1704.04133","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-13T13:44:33Z","cross_cats_sorted":["cs.AI","cs.LG","cs.MM"],"title_canon_sha256":"1c51ba5fd6a8a413ad882c2499826a8727b89aca7ed5ede6c0d83db8f292b567","abstract_canon_sha256":"1b581f5c793b4afc10c18a166a733b5b7977859f2fb8bde19fba430e6625a6ea"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:13.254726Z","signature_b64":"Sa0kmrVGdprHTtXxSU4hZwfFeq+mb0fkUo+gSfK72cE7m4xw/pUrsvwEaI9jstJDu9vHHz036GJeW0w6jrItAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d5063b63d4b5c1af4fd9d07957f046f0f4999797c5fdf4ae3d581a55cc8c2f7","last_reissued_at":"2026-05-18T00:44:13.254204Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:13.254204Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.MM"],"primary_cat":"cs.CV","authors_text":"Alexander Wong, Devinder Kumar, Graham W. Taylor","submitted_at":"2017-04-13T13:44:33Z","abstract_excerpt":"In this work, we propose CLass-Enhanced Attentive Response (CLEAR): an approach to visualize and understand the decisions made by deep neural networks (DNNs) given a specific input. CLEAR facilitates the visualization of attentive regions and levels of interest of DNNs during the decision-making process. It also enables the visualization of the most dominant classes associated with these attentive regions of interest. As such, CLEAR can mitigate some of the shortcomings of heatmap-based methods associated with decision ambiguity, and allows for better insights into the decision-making process "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04133","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1704.04133","created_at":"2026-05-18T00:44:13.254292+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.04133v2","created_at":"2026-05-18T00:44:13.254292+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04133","created_at":"2026-05-18T00:44:13.254292+00:00"},{"alias_kind":"pith_short_12","alias_value":"BVIGHNR5JNOB","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_16","alias_value":"BVIGHNR5JNOBV5H5","created_at":"2026-05-18T12:31:08.081275+00:00"},{"alias_kind":"pith_short_8","alias_value":"BVIGHNR5","created_at":"2026-05-18T12:31:08.081275+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/BVIGHNR5JNOBV5H5TUDZK7YEN4","json":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4.json","graph_json":"https://pith.science/api/pith-number/BVIGHNR5JNOBV5H5TUDZK7YEN4/graph.json","events_json":"https://pith.science/api/pith-number/BVIGHNR5JNOBV5H5TUDZK7YEN4/events.json","paper":"https://pith.science/paper/BVIGHNR5"},"agent_actions":{"view_html":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4","download_json":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4.json","view_paper":"https://pith.science/paper/BVIGHNR5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.04133&json=true","fetch_graph":"https://pith.science/api/pith-number/BVIGHNR5JNOBV5H5TUDZK7YEN4/graph.json","fetch_events":"https://pith.science/api/pith-number/BVIGHNR5JNOBV5H5TUDZK7YEN4/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4/action/storage_attestation","attest_author":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4/action/author_attestation","sign_citation":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4/action/citation_signature","submit_replication":"https://pith.science/pith/BVIGHNR5JNOBV5H5TUDZK7YEN4/action/replication_record"}},"created_at":"2026-05-18T00:44:13.254292+00:00","updated_at":"2026-05-18T00:44:13.254292+00:00"}