{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:X52NMCYVCK2OBF6MRMJI5JLCBO","short_pith_number":"pith:X52NMCYV","canonical_record":{"source":{"id":"2511.05150","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-07T11:05:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7a6abe1bb087f64b5e39c634578eec2c097e9e8bf0c20c1b37cca82292bfaf21","abstract_canon_sha256":"2865b2be2220bb4d6567522953e6ec5b9792c8009474e05122e217eaaaebe2f2"},"schema_version":"1.0"},"canonical_sha256":"bf74d60b1512b4e097cc8b128ea5620ba6f833718cb69a82646d3f048f746537","source":{"kind":"arxiv","id":"2511.05150","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.05150","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"arxiv_version","alias_value":"2511.05150v2","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.05150","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"pith_short_12","alias_value":"X52NMCYVCK2O","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"pith_short_16","alias_value":"X52NMCYVCK2OBF6M","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"pith_short_8","alias_value":"X52NMCYV","created_at":"2026-07-03T01:17:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:X52NMCYVCK2OBF6MRMJI5JLCBO","target":"record","payload":{"canonical_record":{"source":{"id":"2511.05150","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-07T11:05:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7a6abe1bb087f64b5e39c634578eec2c097e9e8bf0c20c1b37cca82292bfaf21","abstract_canon_sha256":"2865b2be2220bb4d6567522953e6ec5b9792c8009474e05122e217eaaaebe2f2"},"schema_version":"1.0"},"canonical_sha256":"bf74d60b1512b4e097cc8b128ea5620ba6f833718cb69a82646d3f048f746537","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T01:17:14.532398Z","signature_b64":"5uRZx+lcJqyHK59YV1fhvNC9To9ZjioM5atr3su5zGkyklrDGHfY6MrXOtyVYnshbMd6awLlfNpnwIhwGNdXCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bf74d60b1512b4e097cc8b128ea5620ba6f833718cb69a82646d3f048f746537","last_reissued_at":"2026-07-03T01:17:14.531862Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T01:17:14.531862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2511.05150","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":"2026-07-03T01:17:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6KXtiDSrPVFU6IFkwh5k3b5CaOKyDawknNk7U1TFIA1Z3A57eAdaSwdzeI6DiwE0wr8W+GBwyqf8OSHaQRVtAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:20:02.016170Z"},"content_sha256":"2ad6d84fad5dc083573a44f185bbef78fea4bf0895d148f56417d1d411ba514a","schema_version":"1.0","event_id":"sha256:2ad6d84fad5dc083573a44f185bbef78fea4bf0895d148f56417d1d411ba514a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:X52NMCYVCK2OBF6MRMJI5JLCBO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Assessment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Alexander Muckenhuber, Atsuko Kasajima, Bao Li, Christian Grashei, Fabian St\\\"ogbauer, Felix Schicktanz, Franz-Leonard Klaus, Guiyang Jiang, Han Li, Hongming Xu, Jiale Yu, Jingsong Liu, Julius Shakhtour, Maggie Wang, Nassir Navab, Peter J. Sch\\\"uffler, Shaohua Kevin Zhou, Shihui Zu, Tiannan Zheng, Weiwei Zhou, Xun Ma, Zhengyang Xu","submitted_at":"2025-11-07T11:05:36Z","abstract_excerpt":"Molecular biomarker testing in pathology is often costly and tissue-consuming, limiting scalable clinical deployment. Artificial intelligence applied to hematoxylin and eosin (HE)-stained histology could enable rapid biomarker screening, but clinical translation requires models that are both accurate and interpretable. Here we introduce Hireca, a biomarker-focused pathology foundation model pretrained on more than 80,000 whole-slide images spanning 38 organ types from three medical centers, together with CytoMap, an interpretability module that localizes cellular-scale evidence underlying pred"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.05150","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/2511.05150/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":"2026-07-03T01:17:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M8x+MTf9f+dXc51I7HGguFuWuTDO4tSj84Xw9GeVJcz0JlPvXF+2lg26+WLY4J0VY0lVrroswHmucjOL6V5xDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:20:02.016554Z"},"content_sha256":"007be3890c6d5ac054cc8717f299b6f20ffc4cca858db2d59db4cf3f8bf9161d","schema_version":"1.0","event_id":"sha256:007be3890c6d5ac054cc8717f299b6f20ffc4cca858db2d59db4cf3f8bf9161d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X52NMCYVCK2OBF6MRMJI5JLCBO/bundle.json","state_url":"https://pith.science/pith/X52NMCYVCK2OBF6MRMJI5JLCBO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X52NMCYVCK2OBF6MRMJI5JLCBO/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":"2026-07-06T19:20:02Z","links":{"resolver":"https://pith.science/pith/X52NMCYVCK2OBF6MRMJI5JLCBO","bundle":"https://pith.science/pith/X52NMCYVCK2OBF6MRMJI5JLCBO/bundle.json","state":"https://pith.science/pith/X52NMCYVCK2OBF6MRMJI5JLCBO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X52NMCYVCK2OBF6MRMJI5JLCBO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:X52NMCYVCK2OBF6MRMJI5JLCBO","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":"2865b2be2220bb4d6567522953e6ec5b9792c8009474e05122e217eaaaebe2f2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-07T11:05:36Z","title_canon_sha256":"7a6abe1bb087f64b5e39c634578eec2c097e9e8bf0c20c1b37cca82292bfaf21"},"schema_version":"1.0","source":{"id":"2511.05150","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.05150","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"arxiv_version","alias_value":"2511.05150v2","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.05150","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"pith_short_12","alias_value":"X52NMCYVCK2O","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"pith_short_16","alias_value":"X52NMCYVCK2OBF6M","created_at":"2026-07-03T01:17:14Z"},{"alias_kind":"pith_short_8","alias_value":"X52NMCYV","created_at":"2026-07-03T01:17:14Z"}],"graph_snapshots":[{"event_id":"sha256:007be3890c6d5ac054cc8717f299b6f20ffc4cca858db2d59db4cf3f8bf9161d","target":"graph","created_at":"2026-07-03T01:17:14Z","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/2511.05150/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Molecular biomarker testing in pathology is often costly and tissue-consuming, limiting scalable clinical deployment. Artificial intelligence applied to hematoxylin and eosin (HE)-stained histology could enable rapid biomarker screening, but clinical translation requires models that are both accurate and interpretable. Here we introduce Hireca, a biomarker-focused pathology foundation model pretrained on more than 80,000 whole-slide images spanning 38 organ types from three medical centers, together with CytoMap, an interpretability module that localizes cellular-scale evidence underlying pred","authors_text":"Alexander Muckenhuber, Atsuko Kasajima, Bao Li, Christian Grashei, Fabian St\\\"ogbauer, Felix Schicktanz, Franz-Leonard Klaus, Guiyang Jiang, Han Li, Hongming Xu, Jiale Yu, Jingsong Liu, Julius Shakhtour, Maggie Wang, Nassir Navab, Peter J. Sch\\\"uffler, Shaohua Kevin Zhou, Shihui Zu, Tiannan Zheng, Weiwei Zhou, Xun Ma, Zhengyang Xu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-07T11:05:36Z","title":"Towards Cellular-Scale Interpretability in Pathology Foundation Models for Biomarker Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.05150","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":"sha256:2ad6d84fad5dc083573a44f185bbef78fea4bf0895d148f56417d1d411ba514a","target":"record","created_at":"2026-07-03T01:17:14Z","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":"2865b2be2220bb4d6567522953e6ec5b9792c8009474e05122e217eaaaebe2f2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-11-07T11:05:36Z","title_canon_sha256":"7a6abe1bb087f64b5e39c634578eec2c097e9e8bf0c20c1b37cca82292bfaf21"},"schema_version":"1.0","source":{"id":"2511.05150","kind":"arxiv","version":2}},"canonical_sha256":"bf74d60b1512b4e097cc8b128ea5620ba6f833718cb69a82646d3f048f746537","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bf74d60b1512b4e097cc8b128ea5620ba6f833718cb69a82646d3f048f746537","first_computed_at":"2026-07-03T01:17:14.531862Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T01:17:14.531862Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5uRZx+lcJqyHK59YV1fhvNC9To9ZjioM5atr3su5zGkyklrDGHfY6MrXOtyVYnshbMd6awLlfNpnwIhwGNdXCw==","signature_status":"signed_v1","signed_at":"2026-07-03T01:17:14.532398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.05150","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ad6d84fad5dc083573a44f185bbef78fea4bf0895d148f56417d1d411ba514a","sha256:007be3890c6d5ac054cc8717f299b6f20ffc4cca858db2d59db4cf3f8bf9161d"],"state_sha256":"6b576af2902daeb50b64e8f3942172aca78994eafbdb31d4c2303e166f21066f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0mHta7J5RO6QsAOVy0l2i4K3RFVH3Nm+aMZ9Q6t5m+YOSvl6acsn1eN1wUH7H9F9d+MjiQS4Lk6F7oA7mUxPAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:20:02.019246Z","bundle_sha256":"602225f6aa3dd50d765feeaebab3d1a648e212556c744816f3c5cbd9d9f296f3"}}