{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GXEM45VTLV6Z4YSJ57ZCDNJD3K","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":"1513d6e7851446653dce328ce7bc560bba1319944b83a1d403be9a490535347c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2019-02-19T06:42:05Z","title_canon_sha256":"203d86e79a5e2c7ff8a408612d2abe054432ad7d7628a51f91bee522f3df7053"},"schema_version":"1.0","source":{"id":"1902.06918","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.06918","created_at":"2026-07-05T00:09:24Z"},{"alias_kind":"arxiv_version","alias_value":"1902.06918v2","created_at":"2026-07-05T00:09:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.06918","created_at":"2026-07-05T00:09:24Z"},{"alias_kind":"pith_short_12","alias_value":"GXEM45VTLV6Z","created_at":"2026-07-05T00:09:24Z"},{"alias_kind":"pith_short_16","alias_value":"GXEM45VTLV6Z4YSJ","created_at":"2026-07-05T00:09:24Z"},{"alias_kind":"pith_short_8","alias_value":"GXEM45VT","created_at":"2026-07-05T00:09:24Z"}],"graph_snapshots":[{"event_id":"sha256:cae740f979025c078b29eb5e3545fe4273750ca28818262fce5f3190746ec07f","target":"graph","created_at":"2026-07-05T00:09:24Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1902.06918/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interpretable machine learning has gained much attention recently. Briefness and comprehensiveness are necessary in order to provide a large amount of information concisely when explaining a black-box decision system. However, existing interpretable machine learning methods fail to consider briefness and comprehensiveness simultaneously, leading to redundant explanations. We propose the variational information bottleneck for interpretation, VIBI, a system-agnostic interpretable method that provides a brief but comprehensive explanation. VIBI adopts an information theoretic principle, informati","authors_text":"Eric Xing, Heewook Lee, Pengtao Xie, Seojin Bang, Wei Wu","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2019-02-19T06:42:05Z","title":"Explaining a black-box using Deep Variational Information Bottleneck Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.06918","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:c360f95516d4342ccbdef83dd9efc1f3056431b1715e93284543edc33e95b4e5","target":"record","created_at":"2026-07-05T00:09:24Z","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":"1513d6e7851446653dce328ce7bc560bba1319944b83a1d403be9a490535347c","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2019-02-19T06:42:05Z","title_canon_sha256":"203d86e79a5e2c7ff8a408612d2abe054432ad7d7628a51f91bee522f3df7053"},"schema_version":"1.0","source":{"id":"1902.06918","kind":"arxiv","version":2}},"canonical_sha256":"35c8ce76b35d7d9e6249eff221b523da9e006d0d9e7e435f3943ccca851391f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35c8ce76b35d7d9e6249eff221b523da9e006d0d9e7e435f3943ccca851391f1","first_computed_at":"2026-07-05T00:09:24.871479Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:09:24.871479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZB4b+hzweqE7vlZtrCBn44eUkYXtJMXLRtlTDtj65M/2DQnGWh58tWadTC9nJfSuWOOHQPZ88jhgUhQmLp7eAw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:09:24.871985Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.06918","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c360f95516d4342ccbdef83dd9efc1f3056431b1715e93284543edc33e95b4e5","sha256:cae740f979025c078b29eb5e3545fe4273750ca28818262fce5f3190746ec07f"],"state_sha256":"409b2cc97e90606fb0dd8a13335327fa2cca010f369e112bfbd6563cedfb8870"}