{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SUA344ESFB6ZKB4N4726CWNV32","short_pith_number":"pith:SUA344ES","canonical_record":{"source":{"id":"2406.17032","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T18:00:11Z","cross_cats_sorted":[],"title_canon_sha256":"cc5cac5bdd8091ba6527ba01d5b3eb9c7603c61fdfbc0edea29e28f3903fbad5","abstract_canon_sha256":"de712c6fe73875d4784f7df616ac402442a42cd0528c21b7baa4d1d3ad59b82b"},"schema_version":"1.0"},"canonical_sha256":"9501be7092287d95078de7f5e159b5dea8c9f464a614651b4c848a3223bc8116","source":{"kind":"arxiv","id":"2406.17032","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17032","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17032v2","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17032","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"SUA344ESFB6Z","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"SUA344ESFB6ZKB4N","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"SUA344ES","created_at":"2026-07-05T08:37:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SUA344ESFB6ZKB4N4726CWNV32","target":"record","payload":{"canonical_record":{"source":{"id":"2406.17032","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T18:00:11Z","cross_cats_sorted":[],"title_canon_sha256":"cc5cac5bdd8091ba6527ba01d5b3eb9c7603c61fdfbc0edea29e28f3903fbad5","abstract_canon_sha256":"de712c6fe73875d4784f7df616ac402442a42cd0528c21b7baa4d1d3ad59b82b"},"schema_version":"1.0"},"canonical_sha256":"9501be7092287d95078de7f5e159b5dea8c9f464a614651b4c848a3223bc8116","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:37:53.653311Z","signature_b64":"p+739c1kzR4fuEHmGfMhjFzTbqrlaTzFC30RUXjE6hhYt/AZfK6vyFcSmIjDmrtj3trZaHs56+BFHbAKbj1GBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9501be7092287d95078de7f5e159b5dea8c9f464a614651b4c848a3223bc8116","last_reissued_at":"2026-07-05T08:37:53.652899Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:37:53.652899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.17032","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/CLoMcBOS4R4CKvqpsI9+tLsn2e5fulzJFt9AHRcNmYSZcWZ0f4LLq/KEQST1C87v6GWTBe3+gqRLwLxqsSYDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T07:42:02.501437Z"},"content_sha256":"1e1199cb084962d9926ea9dab69f2b61f6d9f08a08764bf8095698631d28dea8","schema_version":"1.0","event_id":"sha256:1e1199cb084962d9926ea9dab69f2b61f6d9f08a08764bf8095698631d28dea8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SUA344ESFB6ZKB4N4726CWNV32","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DWARF: Disease-weighted network for attention map refinement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abraham Bernstein, Aur\\'elie Pahud de Mortanges, Haozhe Luo, Mauricio Reyes, Oana Inel","submitted_at":"2024-06-24T18:00:11Z","abstract_excerpt":"The interpretability of deep learning is crucial for evaluating the reliability of medical imaging models and reducing the risks of inaccurate patient recommendations. This study addresses the \"human out of the loop\" and \"trustworthiness\" issues in medical image analysis by integrating medical professionals into the interpretability process. We propose a disease-weighted attention map refinement network (DWARF) that leverages expert feedback to enhance model relevance and accuracy. Our method employs cyclic training to iteratively improve diagnostic performance, generating precise and interpre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17032","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2406.17032/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T08:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iEh+9o5nlHNmWeR3khUB3L7g1uiRByreJccjN8sxSSc9IAqLReM51wy7iCX5P/KDbvjgDzWPmii8oeH5n69KCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-21T07:42:02.501817Z"},"content_sha256":"5468b04aeadf6f4399b60584b5aab4b0c3722ea6ac99b2016f76764733ad5058","schema_version":"1.0","event_id":"sha256:5468b04aeadf6f4399b60584b5aab4b0c3722ea6ac99b2016f76764733ad5058"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SUA344ESFB6ZKB4N4726CWNV32/bundle.json","state_url":"https://pith.science/pith/SUA344ESFB6ZKB4N4726CWNV32/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SUA344ESFB6ZKB4N4726CWNV32/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":"2026-07-21T07:42:02Z","links":{"resolver":"https://pith.science/pith/SUA344ESFB6ZKB4N4726CWNV32","bundle":"https://pith.science/pith/SUA344ESFB6ZKB4N4726CWNV32/bundle.json","state":"https://pith.science/pith/SUA344ESFB6ZKB4N4726CWNV32/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SUA344ESFB6ZKB4N4726CWNV32/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SUA344ESFB6ZKB4N4726CWNV32","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":"de712c6fe73875d4784f7df616ac402442a42cd0528c21b7baa4d1d3ad59b82b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T18:00:11Z","title_canon_sha256":"cc5cac5bdd8091ba6527ba01d5b3eb9c7603c61fdfbc0edea29e28f3903fbad5"},"schema_version":"1.0","source":{"id":"2406.17032","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.17032","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2406.17032v2","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.17032","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"SUA344ESFB6Z","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"SUA344ESFB6ZKB4N","created_at":"2026-07-05T08:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"SUA344ES","created_at":"2026-07-05T08:37:53Z"}],"graph_snapshots":[{"event_id":"sha256:5468b04aeadf6f4399b60584b5aab4b0c3722ea6ac99b2016f76764733ad5058","target":"graph","created_at":"2026-07-05T08:37:53Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2406.17032/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The interpretability of deep learning is crucial for evaluating the reliability of medical imaging models and reducing the risks of inaccurate patient recommendations. This study addresses the \"human out of the loop\" and \"trustworthiness\" issues in medical image analysis by integrating medical professionals into the interpretability process. We propose a disease-weighted attention map refinement network (DWARF) that leverages expert feedback to enhance model relevance and accuracy. Our method employs cyclic training to iteratively improve diagnostic performance, generating precise and interpre","authors_text":"Abraham Bernstein, Aur\\'elie Pahud de Mortanges, Haozhe Luo, Mauricio Reyes, Oana Inel","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T18:00:11Z","title":"DWARF: Disease-weighted network for attention map refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.17032","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":"sha256:1e1199cb084962d9926ea9dab69f2b61f6d9f08a08764bf8095698631d28dea8","target":"record","created_at":"2026-07-05T08:37:53Z","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":"de712c6fe73875d4784f7df616ac402442a42cd0528c21b7baa4d1d3ad59b82b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-24T18:00:11Z","title_canon_sha256":"cc5cac5bdd8091ba6527ba01d5b3eb9c7603c61fdfbc0edea29e28f3903fbad5"},"schema_version":"1.0","source":{"id":"2406.17032","kind":"arxiv","version":2}},"canonical_sha256":"9501be7092287d95078de7f5e159b5dea8c9f464a614651b4c848a3223bc8116","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9501be7092287d95078de7f5e159b5dea8c9f464a614651b4c848a3223bc8116","first_computed_at":"2026-07-05T08:37:53.652899Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:37:53.652899Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p+739c1kzR4fuEHmGfMhjFzTbqrlaTzFC30RUXjE6hhYt/AZfK6vyFcSmIjDmrtj3trZaHs56+BFHbAKbj1GBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:37:53.653311Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.17032","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e1199cb084962d9926ea9dab69f2b61f6d9f08a08764bf8095698631d28dea8","sha256:5468b04aeadf6f4399b60584b5aab4b0c3722ea6ac99b2016f76764733ad5058"],"state_sha256":"c4f4774d50f07dd44e7a049bf611747d4da2b595b568dcc562c8272b9adb9ca3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rtdBR9s0zwrpFfMHrCei2HVyd4mYlvomgkBFOoQ+ZECwxvS/F4YeS/VfTu5gNCS5Jk/sGtIINhERVFDFXUh2Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-21T07:42:02.504035Z","bundle_sha256":"71042798a034b8cd9b7c62f5aeff4ab404493bed70c3ffda4ef59be4e7523098"}}