{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EMUUYEHK4WYNBFM3COQRYWD73N","short_pith_number":"pith:EMUUYEHK","canonical_record":{"source":{"id":"2507.18848","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T23:33:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f95bda9f2512578fd469595b6e7b929642c29a7ed2b718142872d660a7fe33fa","abstract_canon_sha256":"f72cd860268e0853253eafb0c8d0fec69b7259021024638392ae0c1ed42a6b2f"},"schema_version":"1.0"},"canonical_sha256":"23294c10eae5b0d0959b13a11c587fdb745abe7868e780747b4c5c7710319279","source":{"kind":"arxiv","id":"2507.18848","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18848","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18848v1","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18848","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"pith_short_12","alias_value":"EMUUYEHK4WYN","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"pith_short_16","alias_value":"EMUUYEHK4WYNBFM3","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"pith_short_8","alias_value":"EMUUYEHK","created_at":"2026-07-05T11:42:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EMUUYEHK4WYNBFM3COQRYWD73N","target":"record","payload":{"canonical_record":{"source":{"id":"2507.18848","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T23:33:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"f95bda9f2512578fd469595b6e7b929642c29a7ed2b718142872d660a7fe33fa","abstract_canon_sha256":"f72cd860268e0853253eafb0c8d0fec69b7259021024638392ae0c1ed42a6b2f"},"schema_version":"1.0"},"canonical_sha256":"23294c10eae5b0d0959b13a11c587fdb745abe7868e780747b4c5c7710319279","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:59.252165Z","signature_b64":"taCOEdDdkgtyocoianUMzQCzAmIFj9jRBwCA6DZc35uNl6B85wwkH+rjVTEW//LrCQdu4Q9JZR3KNQoRo/FjDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23294c10eae5b0d0959b13a11c587fdb745abe7868e780747b4c5c7710319279","last_reissued_at":"2026-07-05T11:42:59.251774Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:59.251774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.18848","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:42:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k9OWj6Ed0ZOc6C7jXiZOmFHxrRZ3ZMDWfSCPFcnd+V342dApRuURIIhmQ1X741NUGmI0RkpwtnPEiF5LUXrqCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:07:35.904117Z"},"content_sha256":"f859e1d5abde497735239c95bb1a22b372c96ee983fd73d66f79c05fe0d30a48","schema_version":"1.0","event_id":"sha256:f859e1d5abde497735239c95bb1a22b372c96ee983fd73d66f79c05fe0d30a48"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EMUUYEHK4WYNBFM3COQRYWD73N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Beidi Zhao, Chen Zhou, Gang Wang, Hao Chen, Sangmook Kim, Xiaoxiao Li, Zu-Hua Gao","submitted_at":"2025-07-24T23:33:59Z","abstract_excerpt":"Multiple Instance Learning (MIL) has advanced WSI analysis but struggles with the complexity and heterogeneity of WSIs. Existing MIL methods face challenges in aggregating diverse patch information into robust WSI representations. While ViTs and clustering-based approaches show promise, they are computationally intensive and fail to capture task-specific and slide-specific variability. To address these limitations, we propose PTCMIL, a novel Prompt Token Clustering-based ViT for MIL aggregation. By introducing learnable prompt tokens into the ViT backbone, PTCMIL unifies clustering and predict"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18848","kind":"arxiv","version":1},"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/2507.18848/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":"2026-07-05T11:42:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"usNE163zp7d+XkgcSjAgFl7wRHeU6nySwe0cr2hFhTXCgLrMMLaSX851iwn0YEjKEtBM/QSUAlBTuxSVoHPYCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T14:07:35.904650Z"},"content_sha256":"cebb32e5e6d5b599b5b910b361465ba66fea2b1dd756d96f5f5d8271be8dfc87","schema_version":"1.0","event_id":"sha256:cebb32e5e6d5b599b5b910b361465ba66fea2b1dd756d96f5f5d8271be8dfc87"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EMUUYEHK4WYNBFM3COQRYWD73N/bundle.json","state_url":"https://pith.science/pith/EMUUYEHK4WYNBFM3COQRYWD73N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EMUUYEHK4WYNBFM3COQRYWD73N/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":"2026-08-17T14:07:35Z","links":{"resolver":"https://pith.science/pith/EMUUYEHK4WYNBFM3COQRYWD73N","bundle":"https://pith.science/pith/EMUUYEHK4WYNBFM3COQRYWD73N/bundle.json","state":"https://pith.science/pith/EMUUYEHK4WYNBFM3COQRYWD73N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EMUUYEHK4WYNBFM3COQRYWD73N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EMUUYEHK4WYNBFM3COQRYWD73N","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":"f72cd860268e0853253eafb0c8d0fec69b7259021024638392ae0c1ed42a6b2f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T23:33:59Z","title_canon_sha256":"f95bda9f2512578fd469595b6e7b929642c29a7ed2b718142872d660a7fe33fa"},"schema_version":"1.0","source":{"id":"2507.18848","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18848","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18848v1","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18848","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"pith_short_12","alias_value":"EMUUYEHK4WYN","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"pith_short_16","alias_value":"EMUUYEHK4WYNBFM3","created_at":"2026-07-05T11:42:59Z"},{"alias_kind":"pith_short_8","alias_value":"EMUUYEHK","created_at":"2026-07-05T11:42:59Z"}],"graph_snapshots":[{"event_id":"sha256:cebb32e5e6d5b599b5b910b361465ba66fea2b1dd756d96f5f5d8271be8dfc87","target":"graph","created_at":"2026-07-05T11:42:59Z","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/2507.18848/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multiple Instance Learning (MIL) has advanced WSI analysis but struggles with the complexity and heterogeneity of WSIs. Existing MIL methods face challenges in aggregating diverse patch information into robust WSI representations. While ViTs and clustering-based approaches show promise, they are computationally intensive and fail to capture task-specific and slide-specific variability. To address these limitations, we propose PTCMIL, a novel Prompt Token Clustering-based ViT for MIL aggregation. By introducing learnable prompt tokens into the ViT backbone, PTCMIL unifies clustering and predict","authors_text":"Beidi Zhao, Chen Zhou, Gang Wang, Hao Chen, Sangmook Kim, Xiaoxiao Li, Zu-Hua Gao","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T23:33:59Z","title":"PTCMIL: Multiple Instance Learning via Prompt Token Clustering for Whole Slide Image Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18848","kind":"arxiv","version":1},"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:f859e1d5abde497735239c95bb1a22b372c96ee983fd73d66f79c05fe0d30a48","target":"record","created_at":"2026-07-05T11:42:59Z","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":"f72cd860268e0853253eafb0c8d0fec69b7259021024638392ae0c1ed42a6b2f","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-24T23:33:59Z","title_canon_sha256":"f95bda9f2512578fd469595b6e7b929642c29a7ed2b718142872d660a7fe33fa"},"schema_version":"1.0","source":{"id":"2507.18848","kind":"arxiv","version":1}},"canonical_sha256":"23294c10eae5b0d0959b13a11c587fdb745abe7868e780747b4c5c7710319279","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23294c10eae5b0d0959b13a11c587fdb745abe7868e780747b4c5c7710319279","first_computed_at":"2026-07-05T11:42:59.251774Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:59.251774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"taCOEdDdkgtyocoianUMzQCzAmIFj9jRBwCA6DZc35uNl6B85wwkH+rjVTEW//LrCQdu4Q9JZR3KNQoRo/FjDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:59.252165Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.18848","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f859e1d5abde497735239c95bb1a22b372c96ee983fd73d66f79c05fe0d30a48","sha256:cebb32e5e6d5b599b5b910b361465ba66fea2b1dd756d96f5f5d8271be8dfc87"],"state_sha256":"888aa79ba3356479ad81e448edd23b8ec99b079fe0ddd15d853dddd4973684b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6ZdgClcE9n2wGBOcJDRjpuyIdQb6H98c8tnh/G0qD4aZ36Lxby+8re9nRfdvce6A4RFoDqOogxJbnDL8ErZdDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T14:07:35.908632Z","bundle_sha256":"5ed9c2aa54b55c0ee0bd1be38de022a6fb02c3438473fb48e8599b296c7667a2"}}