{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:3NSCNPDDU75TYSKQOLFSE4AHHJ","short_pith_number":"pith:3NSCNPDD","schema_version":"1.0","canonical_sha256":"db6426bc63a7fb3c495072cb2270073a53013c985fbd053e1cc8e3cf28a4ab44","source":{"kind":"arxiv","id":"1911.05588","version":1},"attestation_state":"computed","paper":{"title":"An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"A. Cioppa, A. Deliege, M. Van Droogenbroeck","submitted_at":"2019-02-23T01:28:27Z","abstract_excerpt":"Neural networks designed for the task of classification have become a commodity in recent years. Many works target the development of more effective networks, which results in a complexification of their architectures with more layers, multiple sub-networks, or even the combination of multiple classifiers, but this often comes at the expense of producing uninterpretable black boxes. In this paper, we redesign a simple capsule network to enable it to synthesize class-representative samples, called prototypes, by replacing the last layer with a novel Hit-or-Miss layer. This layer contains activa"},"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":"1911.05588","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-02-23T01:28:27Z","cross_cats_sorted":["cs.AI","cs.CV","stat.ML"],"title_canon_sha256":"b974a63f8394cc26f1d2ff36abae6102a2d30ee4a86a85a5c41847e7fdce8efe","abstract_canon_sha256":"4f1e21b2e100c5d6468ed19cd17bc3a53beba304f9d896b694a65f41879987ca"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:18:59.051459Z","signature_b64":"+E5A24GaWcH1fbCEgLlV1amR5lSs83EN3/y0KVXaXgVPxrUfzEDWlVoIHbYgnClZ6rDabLEno6ri5zb5uKkTBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db6426bc63a7fb3c495072cb2270073a53013c985fbd053e1cc8e3cf28a4ab44","last_reissued_at":"2026-07-05T00:18:59.050978Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:18:59.050978Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Effective Hit-or-Miss Layer Favoring Feature Interpretation as Learned Prototypes Deformations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"A. Cioppa, A. Deliege, M. Van Droogenbroeck","submitted_at":"2019-02-23T01:28:27Z","abstract_excerpt":"Neural networks designed for the task of classification have become a commodity in recent years. Many works target the development of more effective networks, which results in a complexification of their architectures with more layers, multiple sub-networks, or even the combination of multiple classifiers, but this often comes at the expense of producing uninterpretable black boxes. In this paper, we redesign a simple capsule network to enable it to synthesize class-representative samples, called prototypes, by replacing the last layer with a novel Hit-or-Miss layer. This layer contains activa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1911.05588","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/1911.05588/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":"1911.05588","created_at":"2026-07-05T00:18:59.051035+00:00"},{"alias_kind":"arxiv_version","alias_value":"1911.05588v1","created_at":"2026-07-05T00:18:59.051035+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1911.05588","created_at":"2026-07-05T00:18:59.051035+00:00"},{"alias_kind":"pith_short_12","alias_value":"3NSCNPDDU75T","created_at":"2026-07-05T00:18:59.051035+00:00"},{"alias_kind":"pith_short_16","alias_value":"3NSCNPDDU75TYSKQ","created_at":"2026-07-05T00:18:59.051035+00:00"},{"alias_kind":"pith_short_8","alias_value":"3NSCNPDD","created_at":"2026-07-05T00:18:59.051035+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/3NSCNPDDU75TYSKQOLFSE4AHHJ","json":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ.json","graph_json":"https://pith.science/api/pith-number/3NSCNPDDU75TYSKQOLFSE4AHHJ/graph.json","events_json":"https://pith.science/api/pith-number/3NSCNPDDU75TYSKQOLFSE4AHHJ/events.json","paper":"https://pith.science/paper/3NSCNPDD"},"agent_actions":{"view_html":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ","download_json":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ.json","view_paper":"https://pith.science/paper/3NSCNPDD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1911.05588&json=true","fetch_graph":"https://pith.science/api/pith-number/3NSCNPDDU75TYSKQOLFSE4AHHJ/graph.json","fetch_events":"https://pith.science/api/pith-number/3NSCNPDDU75TYSKQOLFSE4AHHJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ/action/storage_attestation","attest_author":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ/action/author_attestation","sign_citation":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ/action/citation_signature","submit_replication":"https://pith.science/pith/3NSCNPDDU75TYSKQOLFSE4AHHJ/action/replication_record"}},"created_at":"2026-07-05T00:18:59.051035+00:00","updated_at":"2026-07-05T00:18:59.051035+00:00"}