{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:P2RT4LDXACXK4656O2HY5VMIEI","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":"926846448235238ed93ab6f2c91cf32b68ed9acb3a7a06de054e0c9ded72b7a4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-19T17:35:26Z","title_canon_sha256":"760f9a2068792fe4913abf27604a1861239614378fde48cbe5ed7cef0e20d3c6"},"schema_version":"1.0","source":{"id":"1804.00506","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.00506","created_at":"2026-05-18T00:14:53Z"},{"alias_kind":"arxiv_version","alias_value":"1804.00506v2","created_at":"2026-05-18T00:14:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.00506","created_at":"2026-05-18T00:14:53Z"},{"alias_kind":"pith_short_12","alias_value":"P2RT4LDXACXK","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_16","alias_value":"P2RT4LDXACXK4656","created_at":"2026-05-18T12:32:43Z"},{"alias_kind":"pith_short_8","alias_value":"P2RT4LDX","created_at":"2026-05-18T12:32:43Z"}],"graph_snapshots":[{"event_id":"sha256:44aa5c5db6f1c1036db7faba08a2fa672e302dc1139f76f8760a97b23f491e3d","target":"graph","created_at":"2026-05-18T00:14:53Z","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":"While deep neural networks (DNN) have become an effective computational tool, the prediction results are often criticized by the lack of interpretability, which is essential in many real-world applications such as health informatics. Existing attempts based on local interpretations aim to identify relevant features contributing the most to the prediction of DNN by monitoring the neighborhood of a given input. They usually simply ignore the intermediate layers of the DNN that might contain rich information for interpretation. To bridge the gap, in this paper, we propose to investigate a guided ","authors_text":"Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-19T17:35:26Z","title":"Towards Explanation of DNN-based Prediction with Guided Feature Inversion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.00506","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":"sha256:8eddf4f5326c36bce157dded342529fb0ee7c230440e08b1f9ea46daaf5ac1e7","target":"record","created_at":"2026-05-18T00:14:53Z","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":"926846448235238ed93ab6f2c91cf32b68ed9acb3a7a06de054e0c9ded72b7a4","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-19T17:35:26Z","title_canon_sha256":"760f9a2068792fe4913abf27604a1861239614378fde48cbe5ed7cef0e20d3c6"},"schema_version":"1.0","source":{"id":"1804.00506","kind":"arxiv","version":2}},"canonical_sha256":"7ea33e2c7700aeae7bbe768f8ed588221ff44ca5efe9925b7f0d6b4659ea1991","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ea33e2c7700aeae7bbe768f8ed588221ff44ca5efe9925b7f0d6b4659ea1991","first_computed_at":"2026-05-18T00:14:53.532802Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:53.532802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bg4FxJkCT+P3E4ETU/0ZqS8II3diz4vzRtP8tjB6hKiAgFzngpXSyT0w4fNZysL7VYdNzm/zwA0MvgL1VW9gBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:53.533439Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.00506","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8eddf4f5326c36bce157dded342529fb0ee7c230440e08b1f9ea46daaf5ac1e7","sha256:44aa5c5db6f1c1036db7faba08a2fa672e302dc1139f76f8760a97b23f491e3d"],"state_sha256":"c5760bddb1857ec23a3eee5173df1ef6bf28380f221fe5276d25caea769f2aa4"}