{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:CKDABZ4OVPPEY3K6YRL6KTQVR2","short_pith_number":"pith:CKDABZ4O","canonical_record":{"source":{"id":"1904.04520","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-09T08:26:02Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"d1f1d6cb14a26c9c9b5e7e33dc6f35eb3039735e721e10f6c46ddae33cf1c499","abstract_canon_sha256":"b125e4f114460ccc64884f44906813c450845340c91a9ec12bc667fe41e8c69f"},"schema_version":"1.0"},"canonical_sha256":"128600e78eabde4c6d5ec457e54e158eb4ecef897ce83e087a8b8888132aa4fd","source":{"kind":"arxiv","id":"1904.04520","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04520","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04520v1","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04520","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"pith_short_12","alias_value":"CKDABZ4OVPPE","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"CKDABZ4OVPPEY3K6","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"CKDABZ4O","created_at":"2026-05-18T12:33:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:CKDABZ4OVPPEY3K6YRL6KTQVR2","target":"record","payload":{"canonical_record":{"source":{"id":"1904.04520","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-09T08:26:02Z","cross_cats_sorted":["cs.CV","stat.ML"],"title_canon_sha256":"d1f1d6cb14a26c9c9b5e7e33dc6f35eb3039735e721e10f6c46ddae33cf1c499","abstract_canon_sha256":"b125e4f114460ccc64884f44906813c450845340c91a9ec12bc667fe41e8c69f"},"schema_version":"1.0"},"canonical_sha256":"128600e78eabde4c6d5ec457e54e158eb4ecef897ce83e087a8b8888132aa4fd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:58.858632Z","signature_b64":"PutHuYlyeJvqRHmZOFXCYKqlGMaKWaUpQkrmdg1Jfrlda9A9WSC7iY2mE2nLiYNFmp9UqlioaYfbYHJ0kdMACQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"128600e78eabde4c6d5ec457e54e158eb4ecef897ce83e087a8b8888132aa4fd","last_reissued_at":"2026-05-17T23:48:58.858191Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:58.858191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1904.04520","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":"2026-05-17T23:48:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ie9IRMQpG9EfDNlrdeRvyyUJoS4wHF3GbsGLUTKzoBmQbflaBzf1cvsyETJQSOFVTZrezdwKllKiBecT/T5XBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:43:20.633576Z"},"content_sha256":"df8ab288d9bce9dd022db06651b20b3907067a89c2936e00702815b4c62c99c4","schema_version":"1.0","event_id":"sha256:df8ab288d9bce9dd022db06651b20b3907067a89c2936e00702815b4c62c99c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:CKDABZ4OVPPEY3K6YRL6KTQVR2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Regression Concept Vectors for Bidirectional Explanations in Histopathology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.ML"],"primary_cat":"cs.LG","authors_text":"Henning M\\\"uller, Mara Graziani, Vincent Andrearczyk","submitted_at":"2019-04-09T08:26:02Z","abstract_excerpt":"Explanations for deep neural network predictions in terms of domain-related concepts can be valuable in medical applications, where justifications are important for confidence in the decision-making. In this work, we propose a methodology to exploit continuous concept measures as Regression Concept Vectors (RCVs) in the activation space of a layer. The directional derivative of the decision function along the RCVs represents the network sensitivity to increasing values of a given concept measure. When applied to breast cancer grading, nuclei texture emerges as a relevant concept in the detecti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04520","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":""},"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":"2026-05-17T23:48:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1TcdWupNrrEBh2MIc/yk6XJdOSC5pSjJt76CjMR6rvTvhAXxKvCCDaI86qfw2fZLT+S6RRj0pqSV0f9vHBJeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T09:43:20.634552Z"},"content_sha256":"377e9ed97c56532481c46b11565e8549e3850e3c6a46981f5870e37bd1dedaf1","schema_version":"1.0","event_id":"sha256:377e9ed97c56532481c46b11565e8549e3850e3c6a46981f5870e37bd1dedaf1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CKDABZ4OVPPEY3K6YRL6KTQVR2/bundle.json","state_url":"https://pith.science/pith/CKDABZ4OVPPEY3K6YRL6KTQVR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CKDABZ4OVPPEY3K6YRL6KTQVR2/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":"2026-08-01T09:43:20Z","links":{"resolver":"https://pith.science/pith/CKDABZ4OVPPEY3K6YRL6KTQVR2","bundle":"https://pith.science/pith/CKDABZ4OVPPEY3K6YRL6KTQVR2/bundle.json","state":"https://pith.science/pith/CKDABZ4OVPPEY3K6YRL6KTQVR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CKDABZ4OVPPEY3K6YRL6KTQVR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:CKDABZ4OVPPEY3K6YRL6KTQVR2","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":"b125e4f114460ccc64884f44906813c450845340c91a9ec12bc667fe41e8c69f","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-09T08:26:02Z","title_canon_sha256":"d1f1d6cb14a26c9c9b5e7e33dc6f35eb3039735e721e10f6c46ddae33cf1c499"},"schema_version":"1.0","source":{"id":"1904.04520","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1904.04520","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"arxiv_version","alias_value":"1904.04520v1","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.04520","created_at":"2026-05-17T23:48:58Z"},{"alias_kind":"pith_short_12","alias_value":"CKDABZ4OVPPE","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_16","alias_value":"CKDABZ4OVPPEY3K6","created_at":"2026-05-18T12:33:15Z"},{"alias_kind":"pith_short_8","alias_value":"CKDABZ4O","created_at":"2026-05-18T12:33:15Z"}],"graph_snapshots":[{"event_id":"sha256:377e9ed97c56532481c46b11565e8549e3850e3c6a46981f5870e37bd1dedaf1","target":"graph","created_at":"2026-05-17T23:48:58Z","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"},"paper":{"abstract_excerpt":"Explanations for deep neural network predictions in terms of domain-related concepts can be valuable in medical applications, where justifications are important for confidence in the decision-making. In this work, we propose a methodology to exploit continuous concept measures as Regression Concept Vectors (RCVs) in the activation space of a layer. The directional derivative of the decision function along the RCVs represents the network sensitivity to increasing values of a given concept measure. When applied to breast cancer grading, nuclei texture emerges as a relevant concept in the detecti","authors_text":"Henning M\\\"uller, Mara Graziani, Vincent Andrearczyk","cross_cats":["cs.CV","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-09T08:26:02Z","title":"Regression Concept Vectors for Bidirectional Explanations in Histopathology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.04520","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:df8ab288d9bce9dd022db06651b20b3907067a89c2936e00702815b4c62c99c4","target":"record","created_at":"2026-05-17T23:48:58Z","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":"b125e4f114460ccc64884f44906813c450845340c91a9ec12bc667fe41e8c69f","cross_cats_sorted":["cs.CV","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-04-09T08:26:02Z","title_canon_sha256":"d1f1d6cb14a26c9c9b5e7e33dc6f35eb3039735e721e10f6c46ddae33cf1c499"},"schema_version":"1.0","source":{"id":"1904.04520","kind":"arxiv","version":1}},"canonical_sha256":"128600e78eabde4c6d5ec457e54e158eb4ecef897ce83e087a8b8888132aa4fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"128600e78eabde4c6d5ec457e54e158eb4ecef897ce83e087a8b8888132aa4fd","first_computed_at":"2026-05-17T23:48:58.858191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:58.858191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PutHuYlyeJvqRHmZOFXCYKqlGMaKWaUpQkrmdg1Jfrlda9A9WSC7iY2mE2nLiYNFmp9UqlioaYfbYHJ0kdMACQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:58.858632Z","signed_message":"canonical_sha256_bytes"},"source_id":"1904.04520","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df8ab288d9bce9dd022db06651b20b3907067a89c2936e00702815b4c62c99c4","sha256:377e9ed97c56532481c46b11565e8549e3850e3c6a46981f5870e37bd1dedaf1"],"state_sha256":"54f5b7dd6699184f4e217d36dba7c2c32ed48ceced6c68514b892836616f04c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aUUIQpc3ZcZsDtj7X4P9tl5WdyrQm8jzUh/5zNa6k5cewocct0MBcX4phXBUXanEJmdNaSKzXLX3FiJfiJrIDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T09:43:20.642644Z","bundle_sha256":"3415b217322ccecf7740c76bf9521466610e96c06cdba3436c77211e20ad51df"}}