{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YVJ72BUR7LRPWCXBEKAVNRDE5R","short_pith_number":"pith:YVJ72BUR","canonical_record":{"source":{"id":"2410.11761","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T16:33:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"538bab9ffe54761e1b4b8e7d6eaa9c95d81d70f0b3243ae0f5960154a228efda","abstract_canon_sha256":"f68aa091840a097e6a22f6b219afd7831c4d09983be01da092eb0d0476d50f44"},"schema_version":"1.0"},"canonical_sha256":"c553fd0691fae2fb0ae1228156c464ec633605d6905defb7b057c96b6b9dfdce","source":{"kind":"arxiv","id":"2410.11761","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11761","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11761v3","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11761","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"YVJ72BUR7LRP","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"pith_short_16","alias_value":"YVJ72BUR7LRPWCXB","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"pith_short_8","alias_value":"YVJ72BUR","created_at":"2026-07-05T10:34:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YVJ72BUR7LRPWCXBEKAVNRDE5R","target":"record","payload":{"canonical_record":{"source":{"id":"2410.11761","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T16:33:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"538bab9ffe54761e1b4b8e7d6eaa9c95d81d70f0b3243ae0f5960154a228efda","abstract_canon_sha256":"f68aa091840a097e6a22f6b219afd7831c4d09983be01da092eb0d0476d50f44"},"schema_version":"1.0"},"canonical_sha256":"c553fd0691fae2fb0ae1228156c464ec633605d6905defb7b057c96b6b9dfdce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:34:40.465504Z","signature_b64":"Ww18aW2lmyKd3jJw+8Y7ojKPM/kGUM5E49LjEMizfrqYxhKfJkjB9ROhr8sA52YwC/0GshneWxWCDsMKu8qnAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c553fd0691fae2fb0ae1228156c464ec633605d6905defb7b057c96b6b9dfdce","last_reissued_at":"2026-07-05T10:34:40.464923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:34:40.464923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.11761","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"um3fXggMVBRgW169WO7uxSpreowIunnqH84FPKhkvtVE/yZnutakpoGqcJJqUa2qgHBmst67U60QsPsJmUeZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:00:30.468387Z"},"content_sha256":"d5a9cf6962ccf294c95ac80ce5026399cd16114b4f39575de8cd189c042428a7","schema_version":"1.0","event_id":"sha256:d5a9cf6962ccf294c95ac80ce5026399cd16114b4f39575de8cd189c042428a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YVJ72BUR7LRPWCXBEKAVNRDE5R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Guoan Wang, Jin Ye, Junjun He, Ming Hu, Rongshan Yu, Tianbin Li, Yanjun Li, Ying Chen, Yuanfeng Ji, Yu Qiao","submitted_at":"2024-10-15T16:33:33Z","abstract_excerpt":"Despite the progress made by multimodal large language models (MLLMs) in computational pathology, they remain limited by a predominant focus on patch-level analysis, missing essential contextual information at the whole-slide level. The lack of large-scale instruction datasets and the gigapixel scale of whole slide images (WSIs) pose significant developmental challenges. In this paper, we present SlideChat, the first vision-language assistant capable of understanding gigapixel whole-slide images, exhibiting excellent multimodal conversational capability and response complex instruction across "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11761","kind":"arxiv","version":3},"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/2410.11761/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":"2026-07-05T10:34:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kGBVOADMa6JSUD2dJNx3wP66TnrBq8rFXuYQUUZF06FL6KSmKXVFWFQZ6fmF0xZ6dozR0HatuTlA8iimWiuXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:00:30.469293Z"},"content_sha256":"3158a1e3ee8dda95b1942f154f39b6f0b4f36e95e263fe147770fa98b2f27a14","schema_version":"1.0","event_id":"sha256:3158a1e3ee8dda95b1942f154f39b6f0b4f36e95e263fe147770fa98b2f27a14"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YVJ72BUR7LRPWCXBEKAVNRDE5R/bundle.json","state_url":"https://pith.science/pith/YVJ72BUR7LRPWCXBEKAVNRDE5R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YVJ72BUR7LRPWCXBEKAVNRDE5R/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":"2026-08-06T22:00:30Z","links":{"resolver":"https://pith.science/pith/YVJ72BUR7LRPWCXBEKAVNRDE5R","bundle":"https://pith.science/pith/YVJ72BUR7LRPWCXBEKAVNRDE5R/bundle.json","state":"https://pith.science/pith/YVJ72BUR7LRPWCXBEKAVNRDE5R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YVJ72BUR7LRPWCXBEKAVNRDE5R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YVJ72BUR7LRPWCXBEKAVNRDE5R","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":"f68aa091840a097e6a22f6b219afd7831c4d09983be01da092eb0d0476d50f44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T16:33:33Z","title_canon_sha256":"538bab9ffe54761e1b4b8e7d6eaa9c95d81d70f0b3243ae0f5960154a228efda"},"schema_version":"1.0","source":{"id":"2410.11761","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.11761","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"arxiv_version","alias_value":"2410.11761v3","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.11761","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"pith_short_12","alias_value":"YVJ72BUR7LRP","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"pith_short_16","alias_value":"YVJ72BUR7LRPWCXB","created_at":"2026-07-05T10:34:40Z"},{"alias_kind":"pith_short_8","alias_value":"YVJ72BUR","created_at":"2026-07-05T10:34:40Z"}],"graph_snapshots":[{"event_id":"sha256:3158a1e3ee8dda95b1942f154f39b6f0b4f36e95e263fe147770fa98b2f27a14","target":"graph","created_at":"2026-07-05T10:34:40Z","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/2410.11761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the progress made by multimodal large language models (MLLMs) in computational pathology, they remain limited by a predominant focus on patch-level analysis, missing essential contextual information at the whole-slide level. The lack of large-scale instruction datasets and the gigapixel scale of whole slide images (WSIs) pose significant developmental challenges. In this paper, we present SlideChat, the first vision-language assistant capable of understanding gigapixel whole-slide images, exhibiting excellent multimodal conversational capability and response complex instruction across ","authors_text":"Guoan Wang, Jin Ye, Junjun He, Ming Hu, Rongshan Yu, Tianbin Li, Yanjun Li, Ying Chen, Yuanfeng Ji, Yu Qiao","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T16:33:33Z","title":"SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.11761","kind":"arxiv","version":3},"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:d5a9cf6962ccf294c95ac80ce5026399cd16114b4f39575de8cd189c042428a7","target":"record","created_at":"2026-07-05T10:34:40Z","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":"f68aa091840a097e6a22f6b219afd7831c4d09983be01da092eb0d0476d50f44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-15T16:33:33Z","title_canon_sha256":"538bab9ffe54761e1b4b8e7d6eaa9c95d81d70f0b3243ae0f5960154a228efda"},"schema_version":"1.0","source":{"id":"2410.11761","kind":"arxiv","version":3}},"canonical_sha256":"c553fd0691fae2fb0ae1228156c464ec633605d6905defb7b057c96b6b9dfdce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c553fd0691fae2fb0ae1228156c464ec633605d6905defb7b057c96b6b9dfdce","first_computed_at":"2026-07-05T10:34:40.464923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:34:40.464923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ww18aW2lmyKd3jJw+8Y7ojKPM/kGUM5E49LjEMizfrqYxhKfJkjB9ROhr8sA52YwC/0GshneWxWCDsMKu8qnAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:34:40.465504Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.11761","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5a9cf6962ccf294c95ac80ce5026399cd16114b4f39575de8cd189c042428a7","sha256:3158a1e3ee8dda95b1942f154f39b6f0b4f36e95e263fe147770fa98b2f27a14"],"state_sha256":"5bcc511dc40dee007db6e4fb8ce11447d551fe2580816b90f2fbff6802c27c7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qxWGfi1Iq5PqWwm14UMIuHo70PpoLRjz/MwkWqiHcPVvgZ9DoCuC8LDkz9VW4EWx4CTSfpLoCc/uOqr2wu6pCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T22:00:30.474435Z","bundle_sha256":"f47a046bdd736ede70c04840969a1e2c01b0a7430eadd1477f80ca94dd082d0b"}}