{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:BUUMNNAOLLEU3JHFXBFQ4L63TU","short_pith_number":"pith:BUUMNNAO","canonical_record":{"source":{"id":"1803.04042","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-11T21:17:05Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5521cfa33d364edc4373cd8d504ca0a521b1cd0e68783b84f6e76f20110a6309","abstract_canon_sha256":"5b061b82cfbb7740e8d9812e39f53f8de6a088b76f688e1a35ad7a5895a9ad0b"},"schema_version":"1.0"},"canonical_sha256":"0d28c6b40e5ac94da4e5b84b0e2fdb9d2e333d3d07f2e9d8a1420cc4c7b739f8","source":{"kind":"arxiv","id":"1803.04042","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.04042","created_at":"2026-05-18T00:21:33Z"},{"alias_kind":"arxiv_version","alias_value":"1803.04042v1","created_at":"2026-05-18T00:21:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.04042","created_at":"2026-05-18T00:21:33Z"},{"alias_kind":"pith_short_12","alias_value":"BUUMNNAOLLEU","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BUUMNNAOLLEU3JHF","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BUUMNNAO","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:BUUMNNAOLLEU3JHFXBFQ4L63TU","target":"record","payload":{"canonical_record":{"source":{"id":"1803.04042","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-11T21:17:05Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"5521cfa33d364edc4373cd8d504ca0a521b1cd0e68783b84f6e76f20110a6309","abstract_canon_sha256":"5b061b82cfbb7740e8d9812e39f53f8de6a088b76f688e1a35ad7a5895a9ad0b"},"schema_version":"1.0"},"canonical_sha256":"0d28c6b40e5ac94da4e5b84b0e2fdb9d2e333d3d07f2e9d8a1420cc4c7b739f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:21:33.096737Z","signature_b64":"axKqOJVN//kIhSGvFaJgbmQrbtWhqINdiLJWpJEwSxwGg6mKwzER3LACj/gpL370tGGJcJhBgUiJkDk6g6DLAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d28c6b40e5ac94da4e5b84b0e2fdb9d2e333d3d07f2e9d8a1420cc4c7b739f8","last_reissued_at":"2026-05-18T00:21:33.096020Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:21:33.096020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.04042","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:21:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4zJ035TP6FmTGPCormcV89+5EODeMeVw3AXlArEmG5lQP0AdEZ9s+okrIgfbnVlU6fNrpW/qd+m8B7XLxzcpDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T09:02:18.051516Z"},"content_sha256":"63ec188976f5eaae664a7ac0253b1ef6f533c71b5e68362bdf2579c075b57848","schema_version":"1.0","event_id":"sha256:63ec188976f5eaae664a7ac0253b1ef6f533c71b5e68362bdf2579c075b57848"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:BUUMNNAOLLEU3JHFXBFQ4L63TU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Interpreting Deep Classifier by Visual Distillation of Dark Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Chang Yi, Charles Sutton, Dae Hoon Park, Kai Xu","submitted_at":"2018-03-11T21:17:05Z","abstract_excerpt":"Interpreting black box classifiers, such as deep networks, allows an analyst to validate a classifier before it is deployed in a high-stakes setting. A natural idea is to visualize the deep network's representations, so as to \"see what the network sees\". In this paper, we demonstrate that standard dimension reduction methods in this setting can yield uninformative or even misleading visualizations. Instead, we present DarkSight, which visually summarizes the predictions of a classifier in a way inspired by notion of dark knowledge. DarkSight embeds the data points into a low-dimensional space "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.04042","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:21:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"51EhkEmcCFnmYdrAY826iNTtv5cPSXSY6aTDsyjz1nH3q+dCoSvADj6JYu9zdOTER7ltWtVjxKUe06z5k+e6Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T09:02:18.051863Z"},"content_sha256":"72216ac70b2ed9f5bfe01f21389a4a1b1e1fe317f485b2ebce141d0bbf88db17","schema_version":"1.0","event_id":"sha256:72216ac70b2ed9f5bfe01f21389a4a1b1e1fe317f485b2ebce141d0bbf88db17"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BUUMNNAOLLEU3JHFXBFQ4L63TU/bundle.json","state_url":"https://pith.science/pith/BUUMNNAOLLEU3JHFXBFQ4L63TU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BUUMNNAOLLEU3JHFXBFQ4L63TU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-03T09:02:18Z","links":{"resolver":"https://pith.science/pith/BUUMNNAOLLEU3JHFXBFQ4L63TU","bundle":"https://pith.science/pith/BUUMNNAOLLEU3JHFXBFQ4L63TU/bundle.json","state":"https://pith.science/pith/BUUMNNAOLLEU3JHFXBFQ4L63TU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BUUMNNAOLLEU3JHFXBFQ4L63TU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:BUUMNNAOLLEU3JHFXBFQ4L63TU","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":"5b061b82cfbb7740e8d9812e39f53f8de6a088b76f688e1a35ad7a5895a9ad0b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-11T21:17:05Z","title_canon_sha256":"5521cfa33d364edc4373cd8d504ca0a521b1cd0e68783b84f6e76f20110a6309"},"schema_version":"1.0","source":{"id":"1803.04042","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.04042","created_at":"2026-05-18T00:21:33Z"},{"alias_kind":"arxiv_version","alias_value":"1803.04042v1","created_at":"2026-05-18T00:21:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.04042","created_at":"2026-05-18T00:21:33Z"},{"alias_kind":"pith_short_12","alias_value":"BUUMNNAOLLEU","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"BUUMNNAOLLEU3JHF","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"BUUMNNAO","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:72216ac70b2ed9f5bfe01f21389a4a1b1e1fe317f485b2ebce141d0bbf88db17","target":"graph","created_at":"2026-05-18T00:21:33Z","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":"Interpreting black box classifiers, such as deep networks, allows an analyst to validate a classifier before it is deployed in a high-stakes setting. A natural idea is to visualize the deep network's representations, so as to \"see what the network sees\". In this paper, we demonstrate that standard dimension reduction methods in this setting can yield uninformative or even misleading visualizations. Instead, we present DarkSight, which visually summarizes the predictions of a classifier in a way inspired by notion of dark knowledge. DarkSight embeds the data points into a low-dimensional space ","authors_text":"Chang Yi, Charles Sutton, Dae Hoon Park, Kai Xu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-11T21:17:05Z","title":"Interpreting Deep Classifier by Visual Distillation of Dark Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.04042","kind":"arxiv","version":1},"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":"sha256:63ec188976f5eaae664a7ac0253b1ef6f533c71b5e68362bdf2579c075b57848","target":"record","created_at":"2026-05-18T00:21:33Z","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":"5b061b82cfbb7740e8d9812e39f53f8de6a088b76f688e1a35ad7a5895a9ad0b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-03-11T21:17:05Z","title_canon_sha256":"5521cfa33d364edc4373cd8d504ca0a521b1cd0e68783b84f6e76f20110a6309"},"schema_version":"1.0","source":{"id":"1803.04042","kind":"arxiv","version":1}},"canonical_sha256":"0d28c6b40e5ac94da4e5b84b0e2fdb9d2e333d3d07f2e9d8a1420cc4c7b739f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d28c6b40e5ac94da4e5b84b0e2fdb9d2e333d3d07f2e9d8a1420cc4c7b739f8","first_computed_at":"2026-05-18T00:21:33.096020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:21:33.096020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"axKqOJVN//kIhSGvFaJgbmQrbtWhqINdiLJWpJEwSxwGg6mKwzER3LACj/gpL370tGGJcJhBgUiJkDk6g6DLAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:21:33.096737Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.04042","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63ec188976f5eaae664a7ac0253b1ef6f533c71b5e68362bdf2579c075b57848","sha256:72216ac70b2ed9f5bfe01f21389a4a1b1e1fe317f485b2ebce141d0bbf88db17"],"state_sha256":"77899b83efb61cb63fa3a487baac0af536a4245e39458780f0f2c3071cb0b0de"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"75tajwS6aSIlnZFhwPtLcxmwWNJpJCj2Gd1nwGnEWvQiezT0aTWrEtMGoIomwf2IxqVyhK3S7gZilZGw7oLeDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T09:02:18.054016Z","bundle_sha256":"14c8818468395896cedd2153ab4307cc32353f3d3ea0f58bc0efe92544f74a1d"}}