{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:UXCT57EBYTT77DCKVCIMWOKX62","short_pith_number":"pith:UXCT57EB","canonical_record":{"source":{"id":"2406.15168","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T14:12:15Z","cross_cats_sorted":[],"title_canon_sha256":"9e0c4725e2f59d215e22a44a78201dbfc09d248cfe6b154d7dcbe91835ffa528","abstract_canon_sha256":"28d98b31985a002892776d30550a12ec8d2a41640d2ed01a270a218560ea9766"},"schema_version":"1.0"},"canonical_sha256":"a5c53efc81c4e7ff8c4aa890cb3957f684d66d79d09cc1c5fa04ba8f8f9458c8","source":{"kind":"arxiv","id":"2406.15168","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.15168","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"arxiv_version","alias_value":"2406.15168v2","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.15168","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"pith_short_12","alias_value":"UXCT57EBYTT7","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"pith_short_16","alias_value":"UXCT57EBYTT77DCK","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"pith_short_8","alias_value":"UXCT57EB","created_at":"2026-07-05T08:35:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:UXCT57EBYTT77DCKVCIMWOKX62","target":"record","payload":{"canonical_record":{"source":{"id":"2406.15168","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T14:12:15Z","cross_cats_sorted":[],"title_canon_sha256":"9e0c4725e2f59d215e22a44a78201dbfc09d248cfe6b154d7dcbe91835ffa528","abstract_canon_sha256":"28d98b31985a002892776d30550a12ec8d2a41640d2ed01a270a218560ea9766"},"schema_version":"1.0"},"canonical_sha256":"a5c53efc81c4e7ff8c4aa890cb3957f684d66d79d09cc1c5fa04ba8f8f9458c8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:35:48.811679Z","signature_b64":"OcGcQhfY8EoyMKLlN96H2a13ulEG7f0jMFuDO215Wn0+HaESFqrURx9OPYpzZIaSJkw8Y8gawosxC0uafyufDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5c53efc81c4e7ff8c4aa890cb3957f684d66d79d09cc1c5fa04ba8f8f9458c8","last_reissued_at":"2026-07-05T08:35:48.811213Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:35:48.811213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.15168","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":"2026-07-05T08:35:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oJ8yqrS/8o2P5f++vdIiB5ywZP45jbyd4f8gEf2sSlEaYG4nl2WmkStLiPSBLpAoa54fB+w3t4fjOMhWp6oUCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T02:12:22.772676Z"},"content_sha256":"c61a63749019d8512b03d9317f1968c6e2cac34f3a0d91a9c50a191dd8d3aa6d","schema_version":"1.0","event_id":"sha256:c61a63749019d8512b03d9317f1968c6e2cac34f3a0d91a9c50a191dd8d3aa6d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:UXCT57EBYTT77DCKVCIMWOKX62","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"This actually looks like that: Proto-BagNets for local and global interpretability-by-design","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Bubacarr Bah, Kerol Djoumessi, Laura K\\\"uhlewein, Lisa Koch, Philipp Berens","submitted_at":"2024-06-21T14:12:15Z","abstract_excerpt":"Interpretability is a key requirement for the use of machine learning models in high-stakes applications, including medical diagnosis. Explaining black-box models mostly relies on post-hoc methods that do not faithfully reflect the model's behavior. As a remedy, prototype-based networks have been proposed, but their interpretability is limited as they have been shown to provide coarse, unreliable, and imprecise explanations. In this work, we introduce Proto-BagNets, an interpretable-by-design prototype-based model that combines the advantages of bag-of-local feature models and prototype learni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.15168","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/2406.15168/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":"2026-07-05T08:35:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wNf5deSUlLHeaqh+9zDzelqYLUUVXrUdoMcvV5Xm6nPygYH7h17UG8gltwHTosFWEL2Fb5Qr8RAXHSSDsBjNDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T02:12:22.773161Z"},"content_sha256":"1046017434b6557c763d310b856868b91eba5d712ede27fff827f8ae847c7807","schema_version":"1.0","event_id":"sha256:1046017434b6557c763d310b856868b91eba5d712ede27fff827f8ae847c7807"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UXCT57EBYTT77DCKVCIMWOKX62/bundle.json","state_url":"https://pith.science/pith/UXCT57EBYTT77DCKVCIMWOKX62/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UXCT57EBYTT77DCKVCIMWOKX62/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":"2026-08-08T02:12:22Z","links":{"resolver":"https://pith.science/pith/UXCT57EBYTT77DCKVCIMWOKX62","bundle":"https://pith.science/pith/UXCT57EBYTT77DCKVCIMWOKX62/bundle.json","state":"https://pith.science/pith/UXCT57EBYTT77DCKVCIMWOKX62/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UXCT57EBYTT77DCKVCIMWOKX62/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:UXCT57EBYTT77DCKVCIMWOKX62","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":"28d98b31985a002892776d30550a12ec8d2a41640d2ed01a270a218560ea9766","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T14:12:15Z","title_canon_sha256":"9e0c4725e2f59d215e22a44a78201dbfc09d248cfe6b154d7dcbe91835ffa528"},"schema_version":"1.0","source":{"id":"2406.15168","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.15168","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"arxiv_version","alias_value":"2406.15168v2","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.15168","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"pith_short_12","alias_value":"UXCT57EBYTT7","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"pith_short_16","alias_value":"UXCT57EBYTT77DCK","created_at":"2026-07-05T08:35:48Z"},{"alias_kind":"pith_short_8","alias_value":"UXCT57EB","created_at":"2026-07-05T08:35:48Z"}],"graph_snapshots":[{"event_id":"sha256:1046017434b6557c763d310b856868b91eba5d712ede27fff827f8ae847c7807","target":"graph","created_at":"2026-07-05T08:35:48Z","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/2406.15168/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interpretability is a key requirement for the use of machine learning models in high-stakes applications, including medical diagnosis. Explaining black-box models mostly relies on post-hoc methods that do not faithfully reflect the model's behavior. As a remedy, prototype-based networks have been proposed, but their interpretability is limited as they have been shown to provide coarse, unreliable, and imprecise explanations. In this work, we introduce Proto-BagNets, an interpretable-by-design prototype-based model that combines the advantages of bag-of-local feature models and prototype learni","authors_text":"Bubacarr Bah, Kerol Djoumessi, Laura K\\\"uhlewein, Lisa Koch, Philipp Berens","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T14:12:15Z","title":"This actually looks like that: Proto-BagNets for local and global interpretability-by-design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.15168","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:c61a63749019d8512b03d9317f1968c6e2cac34f3a0d91a9c50a191dd8d3aa6d","target":"record","created_at":"2026-07-05T08:35:48Z","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":"28d98b31985a002892776d30550a12ec8d2a41640d2ed01a270a218560ea9766","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2024-06-21T14:12:15Z","title_canon_sha256":"9e0c4725e2f59d215e22a44a78201dbfc09d248cfe6b154d7dcbe91835ffa528"},"schema_version":"1.0","source":{"id":"2406.15168","kind":"arxiv","version":2}},"canonical_sha256":"a5c53efc81c4e7ff8c4aa890cb3957f684d66d79d09cc1c5fa04ba8f8f9458c8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5c53efc81c4e7ff8c4aa890cb3957f684d66d79d09cc1c5fa04ba8f8f9458c8","first_computed_at":"2026-07-05T08:35:48.811213Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:48.811213Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OcGcQhfY8EoyMKLlN96H2a13ulEG7f0jMFuDO215Wn0+HaESFqrURx9OPYpzZIaSJkw8Y8gawosxC0uafyufDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:48.811679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.15168","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c61a63749019d8512b03d9317f1968c6e2cac34f3a0d91a9c50a191dd8d3aa6d","sha256:1046017434b6557c763d310b856868b91eba5d712ede27fff827f8ae847c7807"],"state_sha256":"36db16e0c8265632d8ddd1806ed2cbf318e6643e77d06198345ed7cdae1ac801"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BOX7zq2Z1yjAOxTp8S0W5QoquSv6ICPgyI2+K8G6vFQvPmXwrqmlb+TeNB93v2514bHg+gjtf7evZ9qrtU7VBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T02:12:22.776653Z","bundle_sha256":"b6fc80b78d8914bd22329c18dd5a0908b9bd47c4ceec51adbe3eef535440b2ef"}}