{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:K7BGPIGHF32JBZ6Q5PCNWGKFLH","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":"e86fb8681f1e0adc0db5b8a71fd10c1f3846dea06f22f9e94d6727d0bf2017ee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T09:12:26Z","title_canon_sha256":"c76f418dab8ea217731f1cc26ed4c34287d184bc93efdf125e260a6a25f6b6eb"},"schema_version":"1.0","source":{"id":"2007.08194","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.08194","created_at":"2026-07-05T02:54:14Z"},{"alias_kind":"arxiv_version","alias_value":"2007.08194v3","created_at":"2026-07-05T02:54:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.08194","created_at":"2026-07-05T02:54:14Z"},{"alias_kind":"pith_short_12","alias_value":"K7BGPIGHF32J","created_at":"2026-07-05T02:54:14Z"},{"alias_kind":"pith_short_16","alias_value":"K7BGPIGHF32JBZ6Q","created_at":"2026-07-05T02:54:14Z"},{"alias_kind":"pith_short_8","alias_value":"K7BGPIGH","created_at":"2026-07-05T02:54:14Z"}],"graph_snapshots":[{"event_id":"sha256:ca8699851b34b54ffe79cc8e7fe74db05fbde2ebd672352b1251b2bed25ef8f6","target":"graph","created_at":"2026-07-05T02:54:14Z","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/2007.08194/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional neural networks (CNNs) have been successfully used in a range of tasks. However, CNNs are often viewed as \"black-box\" and lack of interpretability. One main reason is due to the filter-class entanglement -- an intricate many-to-many correspondence between filters and classes. Most existing works attempt post-hoc interpretation on a pre-trained model, while neglecting to reduce the entanglement underlying the model. In contrast, we focus on alleviating filter-class entanglement during training. Inspired by cellular differentiation, we propose a novel strategy to train interpretabl","authors_text":"Bo Zhang, Hang Su, Haoyu Liang, Jun Zhu, Shu-Tao Xia, Yuyuan Zeng, Zhihao Ouyang, Zihao He","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T09:12:26Z","title":"Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.08194","kind":"arxiv","version":3},"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:b866cb2d3ceba4961f688c5a8eadc7dfa3c4d5d9f37302619e1b6b588049d4e2","target":"record","created_at":"2026-07-05T02:54:14Z","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":"e86fb8681f1e0adc0db5b8a71fd10c1f3846dea06f22f9e94d6727d0bf2017ee","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-07-16T09:12:26Z","title_canon_sha256":"c76f418dab8ea217731f1cc26ed4c34287d184bc93efdf125e260a6a25f6b6eb"},"schema_version":"1.0","source":{"id":"2007.08194","kind":"arxiv","version":3}},"canonical_sha256":"57c267a0c72ef490e7d0ebc4db194559cc5c67edee038ff5508f7e4bcf0da474","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"57c267a0c72ef490e7d0ebc4db194559cc5c67edee038ff5508f7e4bcf0da474","first_computed_at":"2026-07-05T02:54:14.216009Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:54:14.216009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I+QG2lIXqOU5sCOsQ153nnQMwf3j6YiMydZ8tPFZvQQBOQdycjZTt0BpRFSep16VoV2ZG6LR0QONCFy9kajSCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:54:14.216483Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.08194","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b866cb2d3ceba4961f688c5a8eadc7dfa3c4d5d9f37302619e1b6b588049d4e2","sha256:ca8699851b34b54ffe79cc8e7fe74db05fbde2ebd672352b1251b2bed25ef8f6"],"state_sha256":"467b8104c9988f8b4fec4295a4e351c08e42185c8309c1202577c3d9e732fd90"}