{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2VPC3XORHLGIF6BGMLEJUE6D3F","short_pith_number":"pith:2VPC3XOR","canonical_record":{"source":{"id":"2409.20287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-30T13:43:00Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"4716a8b069d4ee71dd849d31aac04179abd947407814cf1e7311cba089c2c8cb","abstract_canon_sha256":"b0f9068951044131a07ff3dc9af98f57cb9fdd5c5fcf5ca44dc7c21df311f406"},"schema_version":"1.0"},"canonical_sha256":"d55e2dddd13acc82f82662c89a13c3d94842ad17527af032a7531efca8c267dc","source":{"kind":"arxiv","id":"2409.20287","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.20287","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2409.20287v1","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.20287","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"2VPC3XORHLGI","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"2VPC3XORHLGIF6BG","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"2VPC3XOR","created_at":"2026-07-05T09:13:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2VPC3XORHLGIF6BGMLEJUE6D3F","target":"record","payload":{"canonical_record":{"source":{"id":"2409.20287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-30T13:43:00Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"4716a8b069d4ee71dd849d31aac04179abd947407814cf1e7311cba089c2c8cb","abstract_canon_sha256":"b0f9068951044131a07ff3dc9af98f57cb9fdd5c5fcf5ca44dc7c21df311f406"},"schema_version":"1.0"},"canonical_sha256":"d55e2dddd13acc82f82662c89a13c3d94842ad17527af032a7531efca8c267dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:13:41.364920Z","signature_b64":"9lYWUyIpOPiYuANeaFCV1RBh7ajkJ8wu03U3yXiUYIUpZqGO7jhISSmmJIsumdb6u9AZKBIpzn66Cz09a9q1Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d55e2dddd13acc82f82662c89a13c3d94842ad17527af032a7531efca8c267dc","last_reissued_at":"2026-07-05T09:13:41.364529Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:13:41.364529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.20287","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":"2026-07-05T09:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NSMwtV8ZaMjRTClY72j3FTXU4yYCnHotu0xJraX9hojUVwJcOgKyf1uILWZlTR7RPn6eM7LQIwNOgvnVRwdlBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:27:02.047555Z"},"content_sha256":"f0dee9ac4fd5e3ecbd94b9a2e627b10db4564672f7916b35322b34e196ca3803","schema_version":"1.0","event_id":"sha256:f0dee9ac4fd5e3ecbd94b9a2e627b10db4564672f7916b35322b34e196ca3803"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2VPC3XORHLGIF6BGMLEJUE6D3F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Andreas Wirtz, Arjan Kuijper, Stefan Wesarg, Tillmann Rheude","submitted_at":"2024-09-30T13:43:00Z","abstract_excerpt":"Convolutional neural networks (CNNs) achieve prevailing results in segmentation tasks nowadays and represent the state-of-the-art for image-based analysis. However, the understanding of the accurate decision-making process of a CNN is rather unknown. The research area of explainable artificial intelligence (xAI) primarily revolves around understanding and interpreting this black-box behavior. One way of interpreting a CNN is the use of class activation maps (CAMs) that represent heatmaps to indicate the importance of image areas for the prediction of the CNN. For classification tasks, a variet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.20287","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2409.20287/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":"2026-07-05T09:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AckFQLJjoclb4jnsz4q+RYFdI3XfSKKxwHi4NfvRMd0hSOy95NMl+6zhh6wo4bzAkjS6r1PatvQU/M/sXJfODw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:27:02.047949Z"},"content_sha256":"53e480aee31373287b66632f4a2693abb7cd6f35f37477c78e380ba9717f3461","schema_version":"1.0","event_id":"sha256:53e480aee31373287b66632f4a2693abb7cd6f35f37477c78e380ba9717f3461"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2VPC3XORHLGIF6BGMLEJUE6D3F/bundle.json","state_url":"https://pith.science/pith/2VPC3XORHLGIF6BGMLEJUE6D3F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2VPC3XORHLGIF6BGMLEJUE6D3F/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":"2026-07-07T05:27:02Z","links":{"resolver":"https://pith.science/pith/2VPC3XORHLGIF6BGMLEJUE6D3F","bundle":"https://pith.science/pith/2VPC3XORHLGIF6BGMLEJUE6D3F/bundle.json","state":"https://pith.science/pith/2VPC3XORHLGIF6BGMLEJUE6D3F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2VPC3XORHLGIF6BGMLEJUE6D3F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2VPC3XORHLGIF6BGMLEJUE6D3F","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":"b0f9068951044131a07ff3dc9af98f57cb9fdd5c5fcf5ca44dc7c21df311f406","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-30T13:43:00Z","title_canon_sha256":"4716a8b069d4ee71dd849d31aac04179abd947407814cf1e7311cba089c2c8cb"},"schema_version":"1.0","source":{"id":"2409.20287","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.20287","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2409.20287v1","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.20287","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"2VPC3XORHLGI","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"2VPC3XORHLGIF6BG","created_at":"2026-07-05T09:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"2VPC3XOR","created_at":"2026-07-05T09:13:41Z"}],"graph_snapshots":[{"event_id":"sha256:53e480aee31373287b66632f4a2693abb7cd6f35f37477c78e380ba9717f3461","target":"graph","created_at":"2026-07-05T09:13:41Z","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/2409.20287/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional neural networks (CNNs) achieve prevailing results in segmentation tasks nowadays and represent the state-of-the-art for image-based analysis. However, the understanding of the accurate decision-making process of a CNN is rather unknown. The research area of explainable artificial intelligence (xAI) primarily revolves around understanding and interpreting this black-box behavior. One way of interpreting a CNN is the use of class activation maps (CAMs) that represent heatmaps to indicate the importance of image areas for the prediction of the CNN. For classification tasks, a variet","authors_text":"Andreas Wirtz, Arjan Kuijper, Stefan Wesarg, Tillmann Rheude","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-30T13:43:00Z","title":"Leveraging CAM Algorithms for Explaining Medical Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.20287","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:f0dee9ac4fd5e3ecbd94b9a2e627b10db4564672f7916b35322b34e196ca3803","target":"record","created_at":"2026-07-05T09:13:41Z","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":"b0f9068951044131a07ff3dc9af98f57cb9fdd5c5fcf5ca44dc7c21df311f406","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-09-30T13:43:00Z","title_canon_sha256":"4716a8b069d4ee71dd849d31aac04179abd947407814cf1e7311cba089c2c8cb"},"schema_version":"1.0","source":{"id":"2409.20287","kind":"arxiv","version":1}},"canonical_sha256":"d55e2dddd13acc82f82662c89a13c3d94842ad17527af032a7531efca8c267dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d55e2dddd13acc82f82662c89a13c3d94842ad17527af032a7531efca8c267dc","first_computed_at":"2026-07-05T09:13:41.364529Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:13:41.364529Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9lYWUyIpOPiYuANeaFCV1RBh7ajkJ8wu03U3yXiUYIUpZqGO7jhISSmmJIsumdb6u9AZKBIpzn66Cz09a9q1Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:13:41.364920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.20287","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0dee9ac4fd5e3ecbd94b9a2e627b10db4564672f7916b35322b34e196ca3803","sha256:53e480aee31373287b66632f4a2693abb7cd6f35f37477c78e380ba9717f3461"],"state_sha256":"f8adb7fb35dc2f19e5926ed8f59a3179c34f23997ac9185c71a1e563d50a3860"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NrdOMVExjd790vwrSk1OTnzA94+1CFhQahP9fIfaO/HYXPGB0D2LHbOe4bxn9ZSri5JkiEOMqfHgMmpdKNtDDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:27:02.050216Z","bundle_sha256":"f98eb6430cc02439c2cf0ef660e2412d7559e901306433235d1fa9f1fd47f032"}}