{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:FWCCKJCLOJIBJS344T2XEFK67D","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":"57c1ba5162835dd8e8228cc34e59e9309f24e1fb85e84c5ccce71df763876215","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-11T15:12:54Z","title_canon_sha256":"5a66f0664f172f72037dedac351c2b625d1f873da5d9d6d955d3a7a61370bb9e"},"schema_version":"1.0","source":{"id":"2508.08069","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08069","created_at":"2026-07-05T11:52:07Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08069v1","created_at":"2026-07-05T11:52:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08069","created_at":"2026-07-05T11:52:07Z"},{"alias_kind":"pith_short_12","alias_value":"FWCCKJCLOJIB","created_at":"2026-07-05T11:52:07Z"},{"alias_kind":"pith_short_16","alias_value":"FWCCKJCLOJIBJS34","created_at":"2026-07-05T11:52:07Z"},{"alias_kind":"pith_short_8","alias_value":"FWCCKJCL","created_at":"2026-07-05T11:52:07Z"}],"graph_snapshots":[{"event_id":"sha256:e7fa94a32dae76c5f71d6d62dc7e79e6b8d8b8cc9e3c2a4db0b37b26966a6683","target":"graph","created_at":"2026-07-05T11:52:07Z","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/2508.08069/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multi-label classification (MLC) of medical images aims to identify multiple diseases and holds significant clinical potential. A critical step is to learn class-specific features for accurate diagnosis and improved interpretability effectively. However, current works focus primarily on causal attention to learn class-specific features, yet they struggle to interpret the true cause due to the inadvertent attention to class-irrelevant features. To address this challenge, we propose a new structural causal model (SCM) that treats class-specific attention as a mixture of causal, spurious, and noi","authors_text":"Junhong Leng, Kai He, Lizhen Cui, Mengli Xue, Shanzhi Jiang, Shuo Li, Wentao Li, Xiaoxiao Cui, Yiran Li, Zhi Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-11T15:12:54Z","title":"Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08069","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:fb1429a370ae4a23f3a90ee9ab6eb4d3525d9ce1ebee69e39d87efe2a7811688","target":"record","created_at":"2026-07-05T11:52:07Z","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":"57c1ba5162835dd8e8228cc34e59e9309f24e1fb85e84c5ccce71df763876215","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-11T15:12:54Z","title_canon_sha256":"5a66f0664f172f72037dedac351c2b625d1f873da5d9d6d955d3a7a61370bb9e"},"schema_version":"1.0","source":{"id":"2508.08069","kind":"arxiv","version":1}},"canonical_sha256":"2d8425244b725014cb7ce4f572155ef8d5d253b155cd3ca1ff2030ddfb6265a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d8425244b725014cb7ce4f572155ef8d5d253b155cd3ca1ff2030ddfb6265a4","first_computed_at":"2026-07-05T11:52:07.523588Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:07.523588Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Q1NQCKZrn/hTZMhZzxuVVYRFxfPUpVGJG72tQp0TbZqFxn8eLYRpBxyt+goEBsCP+ioM3PbVVuHGFvq+z7x6BA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:07.524002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.08069","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb1429a370ae4a23f3a90ee9ab6eb4d3525d9ce1ebee69e39d87efe2a7811688","sha256:e7fa94a32dae76c5f71d6d62dc7e79e6b8d8b8cc9e3c2a4db0b37b26966a6683"],"state_sha256":"37bc6d77bb6a266d54e52d431fe7146afadc3ff60ec6acf9fb0b08df3025fb3f"}