{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:U3IFCPHIKUNVIKJ6YQU5AOCKAF","short_pith_number":"pith:U3IFCPHI","schema_version":"1.0","canonical_sha256":"a6d0513ce8551b54293ec429d0384a0145bafdb1e8a9166bab8b270ef65d5247","source":{"kind":"arxiv","id":"1903.04772","version":1},"attestation_state":"computed","paper":{"title":"Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arash Akbarinia, Karl R. Gegenfurtner","submitted_at":"2019-03-12T08:04:44Z","abstract_excerpt":"Machine learning is advancing towards a data-science approach, implying a necessity to a line of investigation to divulge the knowledge learnt by deep neuronal networks. Limiting the comparison among networks merely to a predefined intelligent ability, according to ground truth, does not suffice, it should be associated with innate similarity of these artificial entities. Here, we analysed multiple instances of an identical architecture trained to classify objects in static images (CIFAR and ImageNet data sets). We evaluated the performance of the networks under various distortions and compare"},"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":"1903.04772","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-12T08:04:44Z","cross_cats_sorted":[],"title_canon_sha256":"bf1fe8926318b972a9aac7a37ba9d472532855645d78642326ed5e5e4885d038","abstract_canon_sha256":"ee80350456c42894f537f2e097a628d4950f52f2db544a7937386051fcc1ce75"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:28.751312Z","signature_b64":"ZLNnIDQOWMSg8RHUFDcaiCpXQiTGEEvz6BlSFp4AN+kvdxsO3eeqEyjWrpagjRVgaTfNx7u/9ffqOZdsQ6sECg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6d0513ce8551b54293ec429d0384a0145bafdb1e8a9166bab8b270ef65d5247","last_reissued_at":"2026-05-17T23:51:28.750840Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:28.750840Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arash Akbarinia, Karl R. Gegenfurtner","submitted_at":"2019-03-12T08:04:44Z","abstract_excerpt":"Machine learning is advancing towards a data-science approach, implying a necessity to a line of investigation to divulge the knowledge learnt by deep neuronal networks. Limiting the comparison among networks merely to a predefined intelligent ability, according to ground truth, does not suffice, it should be associated with innate similarity of these artificial entities. Here, we analysed multiple instances of an identical architecture trained to classify objects in static images (CIFAR and ImageNet data sets). We evaluated the performance of the networks under various distortions and compare"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04772","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":""},"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":"1903.04772","created_at":"2026-05-17T23:51:28.750908+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.04772v1","created_at":"2026-05-17T23:51:28.750908+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04772","created_at":"2026-05-17T23:51:28.750908+00:00"},{"alias_kind":"pith_short_12","alias_value":"U3IFCPHIKUNV","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_16","alias_value":"U3IFCPHIKUNVIKJ6","created_at":"2026-05-18T12:33:30.264802+00:00"},{"alias_kind":"pith_short_8","alias_value":"U3IFCPHI","created_at":"2026-05-18T12:33:30.264802+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/U3IFCPHIKUNVIKJ6YQU5AOCKAF","json":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF.json","graph_json":"https://pith.science/api/pith-number/U3IFCPHIKUNVIKJ6YQU5AOCKAF/graph.json","events_json":"https://pith.science/api/pith-number/U3IFCPHIKUNVIKJ6YQU5AOCKAF/events.json","paper":"https://pith.science/paper/U3IFCPHI"},"agent_actions":{"view_html":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF","download_json":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF.json","view_paper":"https://pith.science/paper/U3IFCPHI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.04772&json=true","fetch_graph":"https://pith.science/api/pith-number/U3IFCPHIKUNVIKJ6YQU5AOCKAF/graph.json","fetch_events":"https://pith.science/api/pith-number/U3IFCPHIKUNVIKJ6YQU5AOCKAF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF/action/storage_attestation","attest_author":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF/action/author_attestation","sign_citation":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF/action/citation_signature","submit_replication":"https://pith.science/pith/U3IFCPHIKUNVIKJ6YQU5AOCKAF/action/replication_record"}},"created_at":"2026-05-17T23:51:28.750908+00:00","updated_at":"2026-05-17T23:51:28.750908+00:00"}