{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:TNSFPMCQB5DKEBGDGRNZBZB3VV","short_pith_number":"pith:TNSFPMCQ","schema_version":"1.0","canonical_sha256":"9b6457b0500f46a204c3345b90e43bad523d6e7aac3badcb84751be035496684","source":{"kind":"arxiv","id":"2411.08936","version":1},"attestation_state":"computed","paper":{"title":"Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Amit Sethi, Ravi Kant Gupta, Shounak Das","submitted_at":"2024-11-13T11:25:05Z","abstract_excerpt":"Whole Slide Imaging (WSI) is a cornerstone of digital pathology, offering detailed insights critical for diagnosis and research. Yet, the gigapixel size of WSIs imposes significant computational challenges, limiting their practical utility. Our novel approach addresses these challenges by leveraging various encoders for intelligent data reduction and employing a different classification model to ensure robust, permutation-invariant representations of WSIs. A key innovation of our method is the ability to distill the complex information of an entire WSI into a single vector, effectively capturi"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2411.08936","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-11-13T11:25:05Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"b27e0d8228040fcf5a294dc78db1a88d5db684d855f4605c0ffd03b8f30b0ba4","abstract_canon_sha256":"bc0bbd37c51f6ba36a5a011d3aa3e2cd4a782f2d5ef27bca4e22be058a1ac5cf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:35:16.995639Z","signature_b64":"VZTpdJsuHLHmGGHbAjt+ibkk2y3E9CweK953xv6xalS6Es0V8d4WVDLN7Ewr9WJEbAuqPV1xIOxZpukFs18pBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9b6457b0500f46a204c3345b90e43bad523d6e7aac3badcb84751be035496684","last_reissued_at":"2026-07-05T09:35:16.995149Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:35:16.995149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Clustered Patch Embeddings for Permutation-Invariant Classification of Whole Slide Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Amit Sethi, Ravi Kant Gupta, Shounak Das","submitted_at":"2024-11-13T11:25:05Z","abstract_excerpt":"Whole Slide Imaging (WSI) is a cornerstone of digital pathology, offering detailed insights critical for diagnosis and research. Yet, the gigapixel size of WSIs imposes significant computational challenges, limiting their practical utility. Our novel approach addresses these challenges by leveraging various encoders for intelligent data reduction and employing a different classification model to ensure robust, permutation-invariant representations of WSIs. A key innovation of our method is the ability to distill the complex information of an entire WSI into a single vector, effectively capturi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.08936","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/2411.08936/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2411.08936","created_at":"2026-07-05T09:35:16.995209+00:00"},{"alias_kind":"arxiv_version","alias_value":"2411.08936v1","created_at":"2026-07-05T09:35:16.995209+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.08936","created_at":"2026-07-05T09:35:16.995209+00:00"},{"alias_kind":"pith_short_12","alias_value":"TNSFPMCQB5DK","created_at":"2026-07-05T09:35:16.995209+00:00"},{"alias_kind":"pith_short_16","alias_value":"TNSFPMCQB5DKEBGD","created_at":"2026-07-05T09:35:16.995209+00:00"},{"alias_kind":"pith_short_8","alias_value":"TNSFPMCQ","created_at":"2026-07-05T09:35:16.995209+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV","json":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV.json","graph_json":"https://pith.science/api/pith-number/TNSFPMCQB5DKEBGDGRNZBZB3VV/graph.json","events_json":"https://pith.science/api/pith-number/TNSFPMCQB5DKEBGDGRNZBZB3VV/events.json","paper":"https://pith.science/paper/TNSFPMCQ"},"agent_actions":{"view_html":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV","download_json":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV.json","view_paper":"https://pith.science/paper/TNSFPMCQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2411.08936&json=true","fetch_graph":"https://pith.science/api/pith-number/TNSFPMCQB5DKEBGDGRNZBZB3VV/graph.json","fetch_events":"https://pith.science/api/pith-number/TNSFPMCQB5DKEBGDGRNZBZB3VV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV/action/storage_attestation","attest_author":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV/action/author_attestation","sign_citation":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV/action/citation_signature","submit_replication":"https://pith.science/pith/TNSFPMCQB5DKEBGDGRNZBZB3VV/action/replication_record"}},"created_at":"2026-07-05T09:35:16.995209+00:00","updated_at":"2026-07-05T09:35:16.995209+00:00"}