{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:3B7Z4NYSVMZKTKAY663F2M7OJC","short_pith_number":"pith:3B7Z4NYS","schema_version":"1.0","canonical_sha256":"d87f9e3712ab32a9a818f7b65d33ee48ac96fcf4c1fc00f425497ac7c7f0c461","source":{"kind":"arxiv","id":"2301.01352","version":1},"attestation_state":"computed","paper":{"title":"WLD-Reg: A Data-dependent Within-layer Diversity Regularizer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Alexandros Iosifidis, Firas Laakom, Jenni Raitoharju, Moncef Gabbouj","submitted_at":"2023-01-03T20:57:22Z","abstract_excerpt":"Neural networks are composed of multiple layers arranged in a hierarchical structure jointly trained with a gradient-based optimization, where the errors are back-propagated from the last layer back to the first one. At each optimization step, neurons at a given layer receive feedback from neurons belonging to higher layers of the hierarchy. In this paper, we propose to complement this traditional 'between-layer' feedback with additional 'within-layer' feedback to encourage the diversity of the activations within the same layer. To this end, we measure the pairwise similarity between the outpu"},"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":"2301.01352","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-01-03T20:57:22Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"2cf792de0ee626d5ddca937612a8f0128a19521fc155502b001e955152d4f363","abstract_canon_sha256":"c51e527468fbadac28cf8930aada876363b5e68295ebb02360ff81d01513a0ee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:30:35.104732Z","signature_b64":"ET6f4EZEyZrXMGq43bRYKjPy0c+1G72HgbLJ0YL/cqjHi3HAcc55WhPXCCZgPxwNNSJkckpXo8prqOstvTa2BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d87f9e3712ab32a9a818f7b65d33ee48ac96fcf4c1fc00f425497ac7c7f0c461","last_reissued_at":"2026-07-05T05:30:35.104295Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:30:35.104295Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"WLD-Reg: A Data-dependent Within-layer Diversity Regularizer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.LG","authors_text":"Alexandros Iosifidis, Firas Laakom, Jenni Raitoharju, Moncef Gabbouj","submitted_at":"2023-01-03T20:57:22Z","abstract_excerpt":"Neural networks are composed of multiple layers arranged in a hierarchical structure jointly trained with a gradient-based optimization, where the errors are back-propagated from the last layer back to the first one. At each optimization step, neurons at a given layer receive feedback from neurons belonging to higher layers of the hierarchy. In this paper, we propose to complement this traditional 'between-layer' feedback with additional 'within-layer' feedback to encourage the diversity of the activations within the same layer. To this end, we measure the pairwise similarity between the outpu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01352","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/2301.01352/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":"2301.01352","created_at":"2026-07-05T05:30:35.104358+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.01352v1","created_at":"2026-07-05T05:30:35.104358+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01352","created_at":"2026-07-05T05:30:35.104358+00:00"},{"alias_kind":"pith_short_12","alias_value":"3B7Z4NYSVMZK","created_at":"2026-07-05T05:30:35.104358+00:00"},{"alias_kind":"pith_short_16","alias_value":"3B7Z4NYSVMZKTKAY","created_at":"2026-07-05T05:30:35.104358+00:00"},{"alias_kind":"pith_short_8","alias_value":"3B7Z4NYS","created_at":"2026-07-05T05:30:35.104358+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/3B7Z4NYSVMZKTKAY663F2M7OJC","json":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC.json","graph_json":"https://pith.science/api/pith-number/3B7Z4NYSVMZKTKAY663F2M7OJC/graph.json","events_json":"https://pith.science/api/pith-number/3B7Z4NYSVMZKTKAY663F2M7OJC/events.json","paper":"https://pith.science/paper/3B7Z4NYS"},"agent_actions":{"view_html":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC","download_json":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC.json","view_paper":"https://pith.science/paper/3B7Z4NYS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.01352&json=true","fetch_graph":"https://pith.science/api/pith-number/3B7Z4NYSVMZKTKAY663F2M7OJC/graph.json","fetch_events":"https://pith.science/api/pith-number/3B7Z4NYSVMZKTKAY663F2M7OJC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC/action/storage_attestation","attest_author":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC/action/author_attestation","sign_citation":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC/action/citation_signature","submit_replication":"https://pith.science/pith/3B7Z4NYSVMZKTKAY663F2M7OJC/action/replication_record"}},"created_at":"2026-07-05T05:30:35.104358+00:00","updated_at":"2026-07-05T05:30:35.104358+00:00"}