{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:MJ4QFDJEQQ7TTG27SFVFAK3CXC","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ebcd2994d3dba89fd352b39a27fadfe465c9d597357c3f62fb51611252b777e0","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-10-01T18:01:35Z","title_canon_sha256":"d63c604162858592313d547158d40f7b64029f1e66d861e226e0c0aabcb3cb60"},"schema_version":"1.0","source":{"id":"1610.00163","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1610.00163","created_at":"2026-05-18T00:34:31Z"},{"alias_kind":"arxiv_version","alias_value":"1610.00163v2","created_at":"2026-05-18T00:34:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.00163","created_at":"2026-05-18T00:34:31Z"},{"alias_kind":"pith_short_12","alias_value":"MJ4QFDJEQQ7T","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_16","alias_value":"MJ4QFDJEQQ7TTG27","created_at":"2026-05-18T12:30:32Z"},{"alias_kind":"pith_short_8","alias_value":"MJ4QFDJE","created_at":"2026-05-18T12:30:32Z"}],"graph_snapshots":[{"event_id":"sha256:69f1935b81736e37ba42e59de3062ff2798e16c0c31a2922f036ba72c8f9703b","target":"graph","created_at":"2026-05-18T00:34:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"In this paper we propose cross-modal convolutional neural networks (X-CNNs), a novel biologically inspired type of CNN architectures, treating gradient descent-specialised CNNs as individual units of processing in a larger-scale network topology, while allowing for unconstrained information flow and/or weight sharing between analogous hidden layers of the network---thus generalising the already well-established concept of neural network ensembles (where information typically may flow only between the output layers of the individual networks). The constituent networks are individually designed ","authors_text":"Duo Wang, Nicholas D. Lane, Petar Veli\\v{c}kovi\\'c, Pietro Li\\`o","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-10-01T18:01:35Z","title":"X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.00163","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3f4c0606f615544805ff46cd78c0565ea9e2f05b93b8d7255ed51601dea22396","target":"record","created_at":"2026-05-18T00:34:31Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ebcd2994d3dba89fd352b39a27fadfe465c9d597357c3f62fb51611252b777e0","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2016-10-01T18:01:35Z","title_canon_sha256":"d63c604162858592313d547158d40f7b64029f1e66d861e226e0c0aabcb3cb60"},"schema_version":"1.0","source":{"id":"1610.00163","kind":"arxiv","version":2}},"canonical_sha256":"6279028d24843f399b5f916a502b62b8a8c9f4e7c66022fcb1f8e941968e0dce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6279028d24843f399b5f916a502b62b8a8c9f4e7c66022fcb1f8e941968e0dce","first_computed_at":"2026-05-18T00:34:31.567100Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:34:31.567100Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z6wP3cw9yZmfhmbAp8rIXRnuBpp0/zPwt4I2VhMBLRTy0EBAs0bNHlAfHVWhqZvj8PjnDo6rU7c/FbSkzUkLDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:34:31.567545Z","signed_message":"canonical_sha256_bytes"},"source_id":"1610.00163","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f4c0606f615544805ff46cd78c0565ea9e2f05b93b8d7255ed51601dea22396","sha256:69f1935b81736e37ba42e59de3062ff2798e16c0c31a2922f036ba72c8f9703b"],"state_sha256":"25eb3cb641a6b5ea8fac5c687c24b8d98baec64f29b7a29f9d5a7706692ef5ef"}