{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:DYKDTLAIZFIX7THX7CUWKPJL3W","short_pith_number":"pith:DYKDTLAI","canonical_record":{"source":{"id":"2011.12646","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T11:13:01Z","cross_cats_sorted":[],"title_canon_sha256":"cb36739e8f9c482f6d36df600cacd638193071f97a8c1c98bd6c127433b6060c","abstract_canon_sha256":"2b6da10449982de172d6afa8a6a1944ef2e0cf548b8b3af05e9fba5db36b2c08"},"schema_version":"1.0"},"canonical_sha256":"1e1439ac08c9517fccf7f8a9653d2bdd83df0321e6fd57dd3a513f6991baa58d","source":{"kind":"arxiv","id":"2011.12646","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.12646","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"arxiv_version","alias_value":"2011.12646v2","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.12646","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"pith_short_12","alias_value":"DYKDTLAIZFIX","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"pith_short_16","alias_value":"DYKDTLAIZFIX7THX","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"pith_short_8","alias_value":"DYKDTLAI","created_at":"2026-07-05T02:40:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:DYKDTLAIZFIX7THX7CUWKPJL3W","target":"record","payload":{"canonical_record":{"source":{"id":"2011.12646","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T11:13:01Z","cross_cats_sorted":[],"title_canon_sha256":"cb36739e8f9c482f6d36df600cacd638193071f97a8c1c98bd6c127433b6060c","abstract_canon_sha256":"2b6da10449982de172d6afa8a6a1944ef2e0cf548b8b3af05e9fba5db36b2c08"},"schema_version":"1.0"},"canonical_sha256":"1e1439ac08c9517fccf7f8a9653d2bdd83df0321e6fd57dd3a513f6991baa58d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:40:19.870976Z","signature_b64":"Vi0iK/2DryaElhMPk1D9P0ufb5I9QsLAo0n3Pxdu/UFQdnFLebSn8PjuCs5xizApNhBos88If7BBA/Am1w3wBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e1439ac08c9517fccf7f8a9653d2bdd83df0321e6fd57dd3a513f6991baa58d","last_reissued_at":"2026-07-05T02:40:19.870602Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:40:19.870602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.12646","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":"2026-07-05T02:40:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fef5rJEBb2za82XgZWyaw7LD9kjJ5+MI99QUwW6YwndSD0Y/hHrHCYfjr13tUwXUhlAQOuNTvClU6X3TUFjOBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:25:19.847782Z"},"content_sha256":"7183224fee3f1c31f1b5ba43fd00b370ef096c3f0e07ab861d87073bd210e8ce","schema_version":"1.0","event_id":"sha256:7183224fee3f1c31f1b5ba43fd00b370ef096c3f0e07ab861d87073bd210e8ce"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:DYKDTLAIZFIX7THX7CUWKPJL3W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantifying Explainers of Graph Neural Networks in Computational Pathology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anna Maria Anniciello, Antonio Foncubierta-Rodr\\'iguez, Behzad Bozorgtabar, Florinda Feroce, Guillaume Jaume, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel, Pushpak Pati, Tilman Rau","submitted_at":"2020-11-25T11:13:01Z","abstract_excerpt":"Explainability of deep learning methods is imperative to facilitate their clinical adoption in digital pathology. However, popular deep learning methods and explainability techniques (explainers) based on pixel-wise processing disregard biological entities' notion, thus complicating comprehension by pathologists. In this work, we address this by adopting biological entity-based graph processing and graph explainers enabling explanations accessible to pathologists. In this context, a major challenge becomes to discern meaningful explainers, particularly in a standardized and quantifiable fashio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.12646","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/2011.12646/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":"2026-07-05T02:40:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N5rwjfTGcmQvm8CU86uZF/SMR85qphkXdl062VLif+FsMwJncO4vaI6rPOkQli3nKbVRHQCnF6lKvly+e2YDAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:25:19.848162Z"},"content_sha256":"31d1243dd429c8044e061c1ae1099d61d05a5a454c3363bfe0383e459c47c2d9","schema_version":"1.0","event_id":"sha256:31d1243dd429c8044e061c1ae1099d61d05a5a454c3363bfe0383e459c47c2d9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DYKDTLAIZFIX7THX7CUWKPJL3W/bundle.json","state_url":"https://pith.science/pith/DYKDTLAIZFIX7THX7CUWKPJL3W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DYKDTLAIZFIX7THX7CUWKPJL3W/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":"2026-07-06T17:25:19Z","links":{"resolver":"https://pith.science/pith/DYKDTLAIZFIX7THX7CUWKPJL3W","bundle":"https://pith.science/pith/DYKDTLAIZFIX7THX7CUWKPJL3W/bundle.json","state":"https://pith.science/pith/DYKDTLAIZFIX7THX7CUWKPJL3W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DYKDTLAIZFIX7THX7CUWKPJL3W/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:DYKDTLAIZFIX7THX7CUWKPJL3W","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":"2b6da10449982de172d6afa8a6a1944ef2e0cf548b8b3af05e9fba5db36b2c08","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T11:13:01Z","title_canon_sha256":"cb36739e8f9c482f6d36df600cacd638193071f97a8c1c98bd6c127433b6060c"},"schema_version":"1.0","source":{"id":"2011.12646","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.12646","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"arxiv_version","alias_value":"2011.12646v2","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.12646","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"pith_short_12","alias_value":"DYKDTLAIZFIX","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"pith_short_16","alias_value":"DYKDTLAIZFIX7THX","created_at":"2026-07-05T02:40:19Z"},{"alias_kind":"pith_short_8","alias_value":"DYKDTLAI","created_at":"2026-07-05T02:40:19Z"}],"graph_snapshots":[{"event_id":"sha256:31d1243dd429c8044e061c1ae1099d61d05a5a454c3363bfe0383e459c47c2d9","target":"graph","created_at":"2026-07-05T02:40:19Z","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/2011.12646/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Explainability of deep learning methods is imperative to facilitate their clinical adoption in digital pathology. However, popular deep learning methods and explainability techniques (explainers) based on pixel-wise processing disregard biological entities' notion, thus complicating comprehension by pathologists. In this work, we address this by adopting biological entity-based graph processing and graph explainers enabling explanations accessible to pathologists. In this context, a major challenge becomes to discern meaningful explainers, particularly in a standardized and quantifiable fashio","authors_text":"Anna Maria Anniciello, Antonio Foncubierta-Rodr\\'iguez, Behzad Bozorgtabar, Florinda Feroce, Guillaume Jaume, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel, Pushpak Pati, Tilman Rau","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T11:13:01Z","title":"Quantifying Explainers of Graph Neural Networks in Computational Pathology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.12646","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":"sha256:7183224fee3f1c31f1b5ba43fd00b370ef096c3f0e07ab861d87073bd210e8ce","target":"record","created_at":"2026-07-05T02:40:19Z","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":"2b6da10449982de172d6afa8a6a1944ef2e0cf548b8b3af05e9fba5db36b2c08","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-11-25T11:13:01Z","title_canon_sha256":"cb36739e8f9c482f6d36df600cacd638193071f97a8c1c98bd6c127433b6060c"},"schema_version":"1.0","source":{"id":"2011.12646","kind":"arxiv","version":2}},"canonical_sha256":"1e1439ac08c9517fccf7f8a9653d2bdd83df0321e6fd57dd3a513f6991baa58d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e1439ac08c9517fccf7f8a9653d2bdd83df0321e6fd57dd3a513f6991baa58d","first_computed_at":"2026-07-05T02:40:19.870602Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:40:19.870602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Vi0iK/2DryaElhMPk1D9P0ufb5I9QsLAo0n3Pxdu/UFQdnFLebSn8PjuCs5xizApNhBos88If7BBA/Am1w3wBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:40:19.870976Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.12646","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7183224fee3f1c31f1b5ba43fd00b370ef096c3f0e07ab861d87073bd210e8ce","sha256:31d1243dd429c8044e061c1ae1099d61d05a5a454c3363bfe0383e459c47c2d9"],"state_sha256":"019aad7f65b0b8fe0f3f015be2ea83c208dd18d02e108bece558cf6ffdd003f6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qlqrg3S+Qq+Y86AfcklIaJlxR3kJNMe4wTnGrNFsx0VokWilh3cZ3AeRI2YyhWXDXycUaaScDccYWFKiYYZjCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:25:19.850260Z","bundle_sha256":"9d20745a59709972bc97c604ecbf136797af8fe76838671dfc2d7ae301b4131b"}}