{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:L5ULUTL344HLU3A5ZUZ6SWTAYL","short_pith_number":"pith:L5ULUTL3","canonical_record":{"source":{"id":"2203.13997","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-26T05:38:34Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"98605662dc9c5c895df11b9265f05ee3ccf6bec3f53a667914162e9fd59c4202","abstract_canon_sha256":"629f1751115e467c2038eb92fc2c857814c377d55454aa5b8d9ff1895bf81055"},"schema_version":"1.0"},"canonical_sha256":"5f68ba4d7be70eba6c1dcd33e95a60c2fda10cce7dd8060fcb8bff440fd43111","source":{"kind":"arxiv","id":"2203.13997","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13997","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13997v1","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13997","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"pith_short_12","alias_value":"L5ULUTL344HL","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"pith_short_16","alias_value":"L5ULUTL344HLU3A5","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"pith_short_8","alias_value":"L5ULUTL3","created_at":"2026-07-05T04:09:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:L5ULUTL344HLU3A5ZUZ6SWTAYL","target":"record","payload":{"canonical_record":{"source":{"id":"2203.13997","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-26T05:38:34Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"98605662dc9c5c895df11b9265f05ee3ccf6bec3f53a667914162e9fd59c4202","abstract_canon_sha256":"629f1751115e467c2038eb92fc2c857814c377d55454aa5b8d9ff1895bf81055"},"schema_version":"1.0"},"canonical_sha256":"5f68ba4d7be70eba6c1dcd33e95a60c2fda10cce7dd8060fcb8bff440fd43111","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:03.652191Z","signature_b64":"nM9y92a8PJHKaGbNMGYWyvKhNU8bOb6Th5+J2qNbHxFTHgv3rJ+vVzFqpaHrrCC4gFldbiJs0mNQF0+8QgELAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f68ba4d7be70eba6c1dcd33e95a60c2fda10cce7dd8060fcb8bff440fd43111","last_reissued_at":"2026-07-05T04:09:03.651838Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:03.651838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.13997","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":"2026-07-05T04:09:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QTTwiEJh2OXKx2r+YJ1peaCqp6AwMtXu+ufZu9FayhZq4BlJ/7mqDV2vDztsUr9y+jmmqPYt17O5JaMekQbEBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T17:07:00.032057Z"},"content_sha256":"d5f388c1a8be2103d6c199a1329f827928e626b761aa8b74a71ddb0c6027480f","schema_version":"1.0","event_id":"sha256:d5f388c1a8be2103d6c199a1329f827928e626b761aa8b74a71ddb0c6027480f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:L5ULUTL344HLU3A5ZUZ6SWTAYL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Amir Safarpoor, H.R. Tizhoosh, Jason D. Hipp","submitted_at":"2022-03-26T05:38:34Z","abstract_excerpt":"Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models have also been used to extract molecular features from whole slide images. Although molecular tests carry rich information, they are often expensive, time-consuming, and require additional tissue to sample. In this paper, we propose tRNAsfomer, an attention-based topology that can learn both to predict the bulk RNA-seq from an image and represent the whole slide image of a glass slide simultaneously. The tRNAsfomer use"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13997","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/2203.13997/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":"2026-07-05T04:09:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0hcP4q0Y6g68Xdyt6y+i9UcincjtB77/vt2rZpvde/GNE6X6EokH2g8J+lMF3EO4sn/S6M7lF8K82/+IE+coDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T17:07:00.032748Z"},"content_sha256":"b55ee66004e6a7fde83f6779365c53d09a872da8429340e25922fbd95c0066f4","schema_version":"1.0","event_id":"sha256:b55ee66004e6a7fde83f6779365c53d09a872da8429340e25922fbd95c0066f4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L5ULUTL344HLU3A5ZUZ6SWTAYL/bundle.json","state_url":"https://pith.science/pith/L5ULUTL344HLU3A5ZUZ6SWTAYL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L5ULUTL344HLU3A5ZUZ6SWTAYL/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":"2026-08-15T17:07:00Z","links":{"resolver":"https://pith.science/pith/L5ULUTL344HLU3A5ZUZ6SWTAYL","bundle":"https://pith.science/pith/L5ULUTL344HLU3A5ZUZ6SWTAYL/bundle.json","state":"https://pith.science/pith/L5ULUTL344HLU3A5ZUZ6SWTAYL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L5ULUTL344HLU3A5ZUZ6SWTAYL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:L5ULUTL344HLU3A5ZUZ6SWTAYL","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":"629f1751115e467c2038eb92fc2c857814c377d55454aa5b8d9ff1895bf81055","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-26T05:38:34Z","title_canon_sha256":"98605662dc9c5c895df11b9265f05ee3ccf6bec3f53a667914162e9fd59c4202"},"schema_version":"1.0","source":{"id":"2203.13997","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.13997","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"arxiv_version","alias_value":"2203.13997v1","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.13997","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"pith_short_12","alias_value":"L5ULUTL344HL","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"pith_short_16","alias_value":"L5ULUTL344HLU3A5","created_at":"2026-07-05T04:09:03Z"},{"alias_kind":"pith_short_8","alias_value":"L5ULUTL3","created_at":"2026-07-05T04:09:03Z"}],"graph_snapshots":[{"event_id":"sha256:b55ee66004e6a7fde83f6779365c53d09a872da8429340e25922fbd95c0066f4","target":"graph","created_at":"2026-07-05T04:09:03Z","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/2203.13997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning methods are widely applied in digital pathology to address clinical challenges such as prognosis and diagnosis. As one of the most recent applications, deep models have also been used to extract molecular features from whole slide images. Although molecular tests carry rich information, they are often expensive, time-consuming, and require additional tissue to sample. In this paper, we propose tRNAsfomer, an attention-based topology that can learn both to predict the bulk RNA-seq from an image and represent the whole slide image of a glass slide simultaneously. The tRNAsfomer use","authors_text":"Amir Safarpoor, H.R. Tizhoosh, Jason D. Hipp","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-26T05:38:34Z","title":"Learning to Predict RNA Sequence Expressions from Whole Slide Images with Applications for Search and Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.13997","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:d5f388c1a8be2103d6c199a1329f827928e626b761aa8b74a71ddb0c6027480f","target":"record","created_at":"2026-07-05T04:09:03Z","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":"629f1751115e467c2038eb92fc2c857814c377d55454aa5b8d9ff1895bf81055","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.IV","submitted_at":"2022-03-26T05:38:34Z","title_canon_sha256":"98605662dc9c5c895df11b9265f05ee3ccf6bec3f53a667914162e9fd59c4202"},"schema_version":"1.0","source":{"id":"2203.13997","kind":"arxiv","version":1}},"canonical_sha256":"5f68ba4d7be70eba6c1dcd33e95a60c2fda10cce7dd8060fcb8bff440fd43111","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f68ba4d7be70eba6c1dcd33e95a60c2fda10cce7dd8060fcb8bff440fd43111","first_computed_at":"2026-07-05T04:09:03.651838Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:03.651838Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nM9y92a8PJHKaGbNMGYWyvKhNU8bOb6Th5+J2qNbHxFTHgv3rJ+vVzFqpaHrrCC4gFldbiJs0mNQF0+8QgELAw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:03.652191Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.13997","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5f388c1a8be2103d6c199a1329f827928e626b761aa8b74a71ddb0c6027480f","sha256:b55ee66004e6a7fde83f6779365c53d09a872da8429340e25922fbd95c0066f4"],"state_sha256":"dda13ca9611e1238468378c31d926e9e10543fa443b61b940fdb47dd7ee2b807"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b6t8HXBoSJ3ClePNrcNpdA+FhwrdqZf6f726a8Xq0kf8EChiuxS7vx5oKCpKESK0Tbm6A68SBzvimoIJibqcBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T17:07:00.037300Z","bundle_sha256":"fad1bb4d66acb417ef9ec4e8c217f8ebe51399986243cb45b16c8233e6c2d575"}}