{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:3XIKZ6JH2JJXFYYS2ZY35QMFIN","short_pith_number":"pith:3XIKZ6JH","schema_version":"1.0","canonical_sha256":"ddd0acf927d25372e312d671bec185437ea303cfcc342f45cadf02dabedf6432","source":{"kind":"arxiv","id":"2507.06418","version":1},"attestation_state":"computed","paper":{"title":"PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","stat.AP"],"primary_cat":"q-bio.QM","authors_text":"Changchun Yang, Haoyang Li, Rihan Huang, Xin Gao, Xin Guo, Yifeng Jiao, Yilan Zhang, Yuan Cheng, Yuan Qi, Yushuai Wu, Yu Zhang","submitted_at":"2025-07-08T21:51:25Z","abstract_excerpt":"While pathology foundation models have transformed cancer image analysis, they often lack integration with molecular data at single-cell resolution, limiting their utility for precision oncology. Here, we present PAST, a pan-cancer single-cell foundation model trained on 20 million paired histopathology images and single-cell transcriptomes spanning multiple tumor types and tissue contexts. By jointly encoding cellular morphology and gene expression, PAST learns unified cross-modal representations that capture both spatial and molecular heterogeneity at the cellular level. This approach enable"},"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":"2507.06418","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.QM","submitted_at":"2025-07-08T21:51:25Z","cross_cats_sorted":["cs.CV","stat.AP"],"title_canon_sha256":"fe4aef6b75bc6afe95b73e23d98ce4b249aebde843a70aa37c1765a60b339c2a","abstract_canon_sha256":"f483d18a05b1f40d066dd64251a29b4112622fb5ebcaf70c745ae0f326a973be"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:34:15.402701Z","signature_b64":"gyl3UDNzoJ++wZMydhc1geFLGmz+WaIWWdT4mt/RmQxaejyBjqF3oCOJhhTMkySWNLrivXjem/d11O13bcZtAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ddd0acf927d25372e312d671bec185437ea303cfcc342f45cadf02dabedf6432","last_reissued_at":"2026-07-05T11:34:15.402151Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:34:15.402151Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"PAST: A multimodal single-cell foundation model for histopathology and spatial transcriptomics in cancer","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","stat.AP"],"primary_cat":"q-bio.QM","authors_text":"Changchun Yang, Haoyang Li, Rihan Huang, Xin Gao, Xin Guo, Yifeng Jiao, Yilan Zhang, Yuan Cheng, Yuan Qi, Yushuai Wu, Yu Zhang","submitted_at":"2025-07-08T21:51:25Z","abstract_excerpt":"While pathology foundation models have transformed cancer image analysis, they often lack integration with molecular data at single-cell resolution, limiting their utility for precision oncology. Here, we present PAST, a pan-cancer single-cell foundation model trained on 20 million paired histopathology images and single-cell transcriptomes spanning multiple tumor types and tissue contexts. By jointly encoding cellular morphology and gene expression, PAST learns unified cross-modal representations that capture both spatial and molecular heterogeneity at the cellular level. This approach enable"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06418","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/2507.06418/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":"2507.06418","created_at":"2026-07-05T11:34:15.402212+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.06418v1","created_at":"2026-07-05T11:34:15.402212+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06418","created_at":"2026-07-05T11:34:15.402212+00:00"},{"alias_kind":"pith_short_12","alias_value":"3XIKZ6JH2JJX","created_at":"2026-07-05T11:34:15.402212+00:00"},{"alias_kind":"pith_short_16","alias_value":"3XIKZ6JH2JJXFYYS","created_at":"2026-07-05T11:34:15.402212+00:00"},{"alias_kind":"pith_short_8","alias_value":"3XIKZ6JH","created_at":"2026-07-05T11:34:15.402212+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/3XIKZ6JH2JJXFYYS2ZY35QMFIN","json":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN.json","graph_json":"https://pith.science/api/pith-number/3XIKZ6JH2JJXFYYS2ZY35QMFIN/graph.json","events_json":"https://pith.science/api/pith-number/3XIKZ6JH2JJXFYYS2ZY35QMFIN/events.json","paper":"https://pith.science/paper/3XIKZ6JH"},"agent_actions":{"view_html":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN","download_json":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN.json","view_paper":"https://pith.science/paper/3XIKZ6JH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.06418&json=true","fetch_graph":"https://pith.science/api/pith-number/3XIKZ6JH2JJXFYYS2ZY35QMFIN/graph.json","fetch_events":"https://pith.science/api/pith-number/3XIKZ6JH2JJXFYYS2ZY35QMFIN/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN/action/storage_attestation","attest_author":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN/action/author_attestation","sign_citation":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN/action/citation_signature","submit_replication":"https://pith.science/pith/3XIKZ6JH2JJXFYYS2ZY35QMFIN/action/replication_record"}},"created_at":"2026-07-05T11:34:15.402212+00:00","updated_at":"2026-07-05T11:34:15.402212+00:00"}