{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4J6WR3HXBVYB45JMG2624HRR2J","short_pith_number":"pith:4J6WR3HX","canonical_record":{"source":{"id":"2410.04507","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-06T14:56:23Z","cross_cats_sorted":[],"title_canon_sha256":"1712b4d4c9827ca0bd3f528dd5722961d1b8395335eebbab4d73219ab5f24e70","abstract_canon_sha256":"9f41aa708817bc31015289e1a9d7867f51da4b004e7893377deeb9a5070de280"},"schema_version":"1.0"},"canonical_sha256":"e27d68ecf70d701e752c36bdae1e31d2414df589c51cf9032e63c44a156d5fab","source":{"kind":"arxiv","id":"2410.04507","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04507","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04507v2","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04507","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"pith_short_12","alias_value":"4J6WR3HXBVYB","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"pith_short_16","alias_value":"4J6WR3HXBVYB45JM","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"pith_short_8","alias_value":"4J6WR3HX","created_at":"2026-07-05T09:17:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4J6WR3HXBVYB45JMG2624HRR2J","target":"record","payload":{"canonical_record":{"source":{"id":"2410.04507","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-06T14:56:23Z","cross_cats_sorted":[],"title_canon_sha256":"1712b4d4c9827ca0bd3f528dd5722961d1b8395335eebbab4d73219ab5f24e70","abstract_canon_sha256":"9f41aa708817bc31015289e1a9d7867f51da4b004e7893377deeb9a5070de280"},"schema_version":"1.0"},"canonical_sha256":"e27d68ecf70d701e752c36bdae1e31d2414df589c51cf9032e63c44a156d5fab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:17:51.188000Z","signature_b64":"MCGNZAIUumOK7+Gjy8juxgsAPvn3ttagIlmCizz1OdUS2wMuVKsOuqVTRnccVFnZZOIapVGQL2duth9zID9ICg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e27d68ecf70d701e752c36bdae1e31d2414df589c51cf9032e63c44a156d5fab","last_reissued_at":"2026-07-05T09:17:51.187576Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:17:51.187576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.04507","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":"2026-07-05T09:17:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IjKTaI6jHJJkfAmHwebU3oJXFnOVXwCmvozCkuJKU72LbRlEL8uy9pfYW08usBSHbrrMrmdi/Y1GMlC4yPIVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T10:48:05.780259Z"},"content_sha256":"ba2338231f3af630e890dd1389d60ae27c2397502f46d4a76df5393ba8869710","schema_version":"1.0","event_id":"sha256:ba2338231f3af630e890dd1389d60ae27c2397502f46d4a76df5393ba8869710"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4J6WR3HXBVYB45JMG2624HRR2J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Doanh C. Bui, Jin Tae Kwak","submitted_at":"2024-10-06T14:56:23Z","abstract_excerpt":"Whole slide image (WSI) classification is a crucial problem for cancer diagnostics in clinics and hospitals. A WSI, acquired at gigapixel size, is commonly tiled into patches and processed by multiple-instance learning (MIL) models. Previous MIL-based models designed for this problem have only been evaluated on individual tasks for specific organs, and the ability to handle multiple tasks within a single model has not been investigated. In this study, we propose MECFormer, a generative Transformer-based model designed to handle multiple tasks within one model. To leverage the power of learning"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04507","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/2410.04507/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":"2026-07-05T09:17:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ykEVtVGLTEU08L0SjIXHAP9kTjpQE2ZWCGTN7GhMvXnNZHmwmd55ZKm+Nj8r5cdPB7w1TTzBWVMxp50XT9vDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T10:48:05.780732Z"},"content_sha256":"0b728cf30af118643be574250e49e6e7dc24f1c82f22cb283cc9af6c8b84102d","schema_version":"1.0","event_id":"sha256:0b728cf30af118643be574250e49e6e7dc24f1c82f22cb283cc9af6c8b84102d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4J6WR3HXBVYB45JMG2624HRR2J/bundle.json","state_url":"https://pith.science/pith/4J6WR3HXBVYB45JMG2624HRR2J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4J6WR3HXBVYB45JMG2624HRR2J/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":"2026-08-14T10:48:05Z","links":{"resolver":"https://pith.science/pith/4J6WR3HXBVYB45JMG2624HRR2J","bundle":"https://pith.science/pith/4J6WR3HXBVYB45JMG2624HRR2J/bundle.json","state":"https://pith.science/pith/4J6WR3HXBVYB45JMG2624HRR2J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4J6WR3HXBVYB45JMG2624HRR2J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4J6WR3HXBVYB45JMG2624HRR2J","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":"9f41aa708817bc31015289e1a9d7867f51da4b004e7893377deeb9a5070de280","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-06T14:56:23Z","title_canon_sha256":"1712b4d4c9827ca0bd3f528dd5722961d1b8395335eebbab4d73219ab5f24e70"},"schema_version":"1.0","source":{"id":"2410.04507","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.04507","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"arxiv_version","alias_value":"2410.04507v2","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.04507","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"pith_short_12","alias_value":"4J6WR3HXBVYB","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"pith_short_16","alias_value":"4J6WR3HXBVYB45JM","created_at":"2026-07-05T09:17:51Z"},{"alias_kind":"pith_short_8","alias_value":"4J6WR3HX","created_at":"2026-07-05T09:17:51Z"}],"graph_snapshots":[{"event_id":"sha256:0b728cf30af118643be574250e49e6e7dc24f1c82f22cb283cc9af6c8b84102d","target":"graph","created_at":"2026-07-05T09:17:51Z","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/2410.04507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Whole slide image (WSI) classification is a crucial problem for cancer diagnostics in clinics and hospitals. A WSI, acquired at gigapixel size, is commonly tiled into patches and processed by multiple-instance learning (MIL) models. Previous MIL-based models designed for this problem have only been evaluated on individual tasks for specific organs, and the ability to handle multiple tasks within a single model has not been investigated. In this study, we propose MECFormer, a generative Transformer-based model designed to handle multiple tasks within one model. To leverage the power of learning","authors_text":"Doanh C. Bui, Jin Tae Kwak","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-06T14:56:23Z","title":"MECFormer: Multi-task Whole Slide Image Classification with Expert Consultation Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.04507","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:ba2338231f3af630e890dd1389d60ae27c2397502f46d4a76df5393ba8869710","target":"record","created_at":"2026-07-05T09:17:51Z","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":"9f41aa708817bc31015289e1a9d7867f51da4b004e7893377deeb9a5070de280","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-10-06T14:56:23Z","title_canon_sha256":"1712b4d4c9827ca0bd3f528dd5722961d1b8395335eebbab4d73219ab5f24e70"},"schema_version":"1.0","source":{"id":"2410.04507","kind":"arxiv","version":2}},"canonical_sha256":"e27d68ecf70d701e752c36bdae1e31d2414df589c51cf9032e63c44a156d5fab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e27d68ecf70d701e752c36bdae1e31d2414df589c51cf9032e63c44a156d5fab","first_computed_at":"2026-07-05T09:17:51.187576Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:17:51.187576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MCGNZAIUumOK7+Gjy8juxgsAPvn3ttagIlmCizz1OdUS2wMuVKsOuqVTRnccVFnZZOIapVGQL2duth9zID9ICg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:17:51.188000Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.04507","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba2338231f3af630e890dd1389d60ae27c2397502f46d4a76df5393ba8869710","sha256:0b728cf30af118643be574250e49e6e7dc24f1c82f22cb283cc9af6c8b84102d"],"state_sha256":"80636204beb16426a10945f772b066998aa6d3e25e2ec56700a4055bc10b5a5a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hn751fsa++h5C4AfWa/OGAepd+3D8w0TIQBFNcx7K7fNHTpPeyRTGAmMS8hMZKYaCFnIjpgalUjJz3u86FeUAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T10:48:05.785230Z","bundle_sha256":"b1f19407b97344ffafc941cea9bf293e7d636ec711373fe0aeb8dd144bf83451"}}