{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:XDCW4SFNSUS7HWQZGBOEMUFIIB","short_pith_number":"pith:XDCW4SFN","canonical_record":{"source":{"id":"2412.02141","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T03:57:24Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"06aa94402d4ddc7a4225b79db5be9bc2796a534b0db8d89ab7620a4b23aee2d3","abstract_canon_sha256":"37596c8dea2e5d3ce2aa436fb08d2bb17a4204bc7af327ffff75d77a7fe4b295"},"schema_version":"1.0"},"canonical_sha256":"b8c56e48ad9525f3da19305c4650a8407e916d6de70514bb27801397e0c206b4","source":{"kind":"arxiv","id":"2412.02141","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02141","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02141v5","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02141","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"pith_short_12","alias_value":"XDCW4SFNSUS7","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"pith_short_16","alias_value":"XDCW4SFNSUS7HWQZ","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"pith_short_8","alias_value":"XDCW4SFN","created_at":"2026-07-05T11:52:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:XDCW4SFNSUS7HWQZGBOEMUFIIB","target":"record","payload":{"canonical_record":{"source":{"id":"2412.02141","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T03:57:24Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"06aa94402d4ddc7a4225b79db5be9bc2796a534b0db8d89ab7620a4b23aee2d3","abstract_canon_sha256":"37596c8dea2e5d3ce2aa436fb08d2bb17a4204bc7af327ffff75d77a7fe4b295"},"schema_version":"1.0"},"canonical_sha256":"b8c56e48ad9525f3da19305c4650a8407e916d6de70514bb27801397e0c206b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:52:16.364702Z","signature_b64":"2HMiA+zAXyRlpU4f1h3jXjAA5hTE8vdhDJqvRh3FPM9jRoegKyiQAY9CBZq0kIwgIdSAGAj8E6x8c4XEaQtXBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b8c56e48ad9525f3da19305c4650a8407e916d6de70514bb27801397e0c206b4","last_reissued_at":"2026-07-05T11:52:16.364200Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:52:16.364200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.02141","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:52:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mTm/jFF2/Mg/istYi3dnpW7CIJolEeanzOjq/nOoRdyoB/9M0gds6gTrn/yBjtlfkEZP0CieKAdO945ZMm4RCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:47:25.012236Z"},"content_sha256":"6889bb83c145a6e32d07a8a3042aba025f74e9a3d48475dcef4642b0462f43b9","schema_version":"1.0","event_id":"sha256:6889bb83c145a6e32d07a8a3042aba025f74e9a3d48475dcef4642b0462f43b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:XDCW4SFNSUS7HWQZGBOEMUFIIB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Jipeng Zhang, Linlin Shen, Meidan Ding, Sen Yang, Song Wu, Wenting Chen, Xiangjian He, Xiaohan Xing, Xinheng Lyu, Xiyue Wang, Yuci Liang","submitted_at":"2024-12-03T03:57:24Z","abstract_excerpt":"Recent advancements in computational pathology have produced patch-level Multi-modal Large Language Models (MLLMs), but these models are limited by their inability to analyze whole slide images (WSIs) comprehensively and their tendency to bypass crucial morphological features that pathologists rely on for diagnosis. To address these challenges, we first introduce WSI-Bench, a large-scale morphology-aware benchmark containing 180k VQA pairs from 9,850 WSIs across 30 cancer types, designed to evaluate MLLMs' understanding of morphological characteristics crucial for accurate diagnosis. Building "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02141","kind":"arxiv","version":5},"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/2412.02141/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":"2026-07-05T11:52:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KA9UgelpPw4cv5FnKo9Je2HKr7e9Jup6jqVRjUvtoRY2WwYhDPRJzvg/6X3hnNDAb7QSSlwHJOkQ7i9cQsecCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:47:25.013181Z"},"content_sha256":"293294f12396af2808f788ef0e59784abdbf9e6df2e311119f4eb5db835b5ede","schema_version":"1.0","event_id":"sha256:293294f12396af2808f788ef0e59784abdbf9e6df2e311119f4eb5db835b5ede"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XDCW4SFNSUS7HWQZGBOEMUFIIB/bundle.json","state_url":"https://pith.science/pith/XDCW4SFNSUS7HWQZGBOEMUFIIB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XDCW4SFNSUS7HWQZGBOEMUFIIB/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":"2026-08-10T20:47:25Z","links":{"resolver":"https://pith.science/pith/XDCW4SFNSUS7HWQZGBOEMUFIIB","bundle":"https://pith.science/pith/XDCW4SFNSUS7HWQZGBOEMUFIIB/bundle.json","state":"https://pith.science/pith/XDCW4SFNSUS7HWQZGBOEMUFIIB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XDCW4SFNSUS7HWQZGBOEMUFIIB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XDCW4SFNSUS7HWQZGBOEMUFIIB","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":"37596c8dea2e5d3ce2aa436fb08d2bb17a4204bc7af327ffff75d77a7fe4b295","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T03:57:24Z","title_canon_sha256":"06aa94402d4ddc7a4225b79db5be9bc2796a534b0db8d89ab7620a4b23aee2d3"},"schema_version":"1.0","source":{"id":"2412.02141","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02141","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02141v5","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02141","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"pith_short_12","alias_value":"XDCW4SFNSUS7","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"pith_short_16","alias_value":"XDCW4SFNSUS7HWQZ","created_at":"2026-07-05T11:52:16Z"},{"alias_kind":"pith_short_8","alias_value":"XDCW4SFN","created_at":"2026-07-05T11:52:16Z"}],"graph_snapshots":[{"event_id":"sha256:293294f12396af2808f788ef0e59784abdbf9e6df2e311119f4eb5db835b5ede","target":"graph","created_at":"2026-07-05T11:52:16Z","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/2412.02141/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in computational pathology have produced patch-level Multi-modal Large Language Models (MLLMs), but these models are limited by their inability to analyze whole slide images (WSIs) comprehensively and their tendency to bypass crucial morphological features that pathologists rely on for diagnosis. To address these challenges, we first introduce WSI-Bench, a large-scale morphology-aware benchmark containing 180k VQA pairs from 9,850 WSIs across 30 cancer types, designed to evaluate MLLMs' understanding of morphological characteristics crucial for accurate diagnosis. Building ","authors_text":"Jipeng Zhang, Linlin Shen, Meidan Ding, Sen Yang, Song Wu, Wenting Chen, Xiangjian He, Xiaohan Xing, Xinheng Lyu, Xiyue Wang, Yuci Liang","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T03:57:24Z","title":"WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02141","kind":"arxiv","version":5},"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":"sha256:6889bb83c145a6e32d07a8a3042aba025f74e9a3d48475dcef4642b0462f43b9","target":"record","created_at":"2026-07-05T11:52:16Z","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":"37596c8dea2e5d3ce2aa436fb08d2bb17a4204bc7af327ffff75d77a7fe4b295","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-03T03:57:24Z","title_canon_sha256":"06aa94402d4ddc7a4225b79db5be9bc2796a534b0db8d89ab7620a4b23aee2d3"},"schema_version":"1.0","source":{"id":"2412.02141","kind":"arxiv","version":5}},"canonical_sha256":"b8c56e48ad9525f3da19305c4650a8407e916d6de70514bb27801397e0c206b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b8c56e48ad9525f3da19305c4650a8407e916d6de70514bb27801397e0c206b4","first_computed_at":"2026-07-05T11:52:16.364200Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:16.364200Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2HMiA+zAXyRlpU4f1h3jXjAA5hTE8vdhDJqvRh3FPM9jRoegKyiQAY9CBZq0kIwgIdSAGAj8E6x8c4XEaQtXBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:16.364702Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.02141","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6889bb83c145a6e32d07a8a3042aba025f74e9a3d48475dcef4642b0462f43b9","sha256:293294f12396af2808f788ef0e59784abdbf9e6df2e311119f4eb5db835b5ede"],"state_sha256":"720cd992dfa53d0d81413bca1e318982d6f3373fb381a8e3673cba60d54f7ead"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DM8seJ86kvW5AtI12xLeBJlQN6BJZ7e/CUcDwgZo8SXCxEjccswltoTjZtizHe6TCt0/TReI8ZzdiXg33u+IDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:47:25.021903Z","bundle_sha256":"b5de3c98d810704a016c023a8c01dd87a89d384099754b7b34dba34fb1c75c81"}}