{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:U232Q7J4VIGBUAFYUARETK4JAU","short_pith_number":"pith:U232Q7J4","schema_version":"1.0","canonical_sha256":"a6b7a87d3caa0c1a00b8a02249ab8905220e70628e7bc430b2faf9a7d08d95ac","source":{"kind":"arxiv","id":"1710.04324","version":1},"attestation_state":"computed","paper":{"title":"Explaining Trained Neural Networks with Semantic Web Technologies: First Steps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Derek Doran, Md Kamruzzaman Sarker, Michael Raymer, Ning Xie, Pascal Hitzler","submitted_at":"2017-10-11T22:32:51Z","abstract_excerpt":"The ever increasing prevalence of publicly available structured data on the World Wide Web enables new applications in a variety of domains. In this paper, we provide a conceptual approach that leverages such data in order to explain the input-output behavior of trained artificial neural networks. We apply existing Semantic Web technologies in order to provide an experimental proof of concept."},"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":"1710.04324","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-10-11T22:32:51Z","cross_cats_sorted":[],"title_canon_sha256":"ddf6805f3fb1dfe3c34576ba3bb7b6ec608c2cac90bc8f9e853bd1cbcaf3c48f","abstract_canon_sha256":"dfc19cd0c09334c5ede0fbe185027c8d1d61de9aa6ad651a2ec16478c166dd8f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:01.391254Z","signature_b64":"ELuMPVqqDEcr9Hcpu3hi2ZIp1mZSk86DVHA//8K3icyGe15JlNyPXm4XeCq45bToWTidhNrCRpz8fHpsWW+qBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6b7a87d3caa0c1a00b8a02249ab8905220e70628e7bc430b2faf9a7d08d95ac","last_reissued_at":"2026-05-18T00:33:01.390774Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:01.390774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Explaining Trained Neural Networks with Semantic Web Technologies: First Steps","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Derek Doran, Md Kamruzzaman Sarker, Michael Raymer, Ning Xie, Pascal Hitzler","submitted_at":"2017-10-11T22:32:51Z","abstract_excerpt":"The ever increasing prevalence of publicly available structured data on the World Wide Web enables new applications in a variety of domains. In this paper, we provide a conceptual approach that leverages such data in order to explain the input-output behavior of trained artificial neural networks. We apply existing Semantic Web technologies in order to provide an experimental proof of concept."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.04324","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":"1710.04324","created_at":"2026-05-18T00:33:01.390847+00:00"},{"alias_kind":"arxiv_version","alias_value":"1710.04324v1","created_at":"2026-05-18T00:33:01.390847+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.04324","created_at":"2026-05-18T00:33:01.390847+00:00"},{"alias_kind":"pith_short_12","alias_value":"U232Q7J4VIGB","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_16","alias_value":"U232Q7J4VIGBUAFY","created_at":"2026-05-18T12:31:46.661854+00:00"},{"alias_kind":"pith_short_8","alias_value":"U232Q7J4","created_at":"2026-05-18T12:31:46.661854+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/U232Q7J4VIGBUAFYUARETK4JAU","json":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU.json","graph_json":"https://pith.science/api/pith-number/U232Q7J4VIGBUAFYUARETK4JAU/graph.json","events_json":"https://pith.science/api/pith-number/U232Q7J4VIGBUAFYUARETK4JAU/events.json","paper":"https://pith.science/paper/U232Q7J4"},"agent_actions":{"view_html":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU","download_json":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU.json","view_paper":"https://pith.science/paper/U232Q7J4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1710.04324&json=true","fetch_graph":"https://pith.science/api/pith-number/U232Q7J4VIGBUAFYUARETK4JAU/graph.json","fetch_events":"https://pith.science/api/pith-number/U232Q7J4VIGBUAFYUARETK4JAU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU/action/storage_attestation","attest_author":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU/action/author_attestation","sign_citation":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU/action/citation_signature","submit_replication":"https://pith.science/pith/U232Q7J4VIGBUAFYUARETK4JAU/action/replication_record"}},"created_at":"2026-05-18T00:33:01.390847+00:00","updated_at":"2026-05-18T00:33:01.390847+00:00"}