{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:I67BA3MWSB7Z6CUUJCBGIQCLVY","short_pith_number":"pith:I67BA3MW","canonical_record":{"source":{"id":"2401.10608","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T10:37:27Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"982295ca687cabd5b02a478cc28948966b413fefa0b55468c70db7b4a7ec78ca","abstract_canon_sha256":"0e0b1a970993b09b9b8743ca6451dae03ae9c2f79a2ba9a9be5fcfadc5752aa6"},"schema_version":"1.0"},"canonical_sha256":"47be106d96907f9f0a94488264404bae351fc375f4e61f7b84c2eb8ab9960cbf","source":{"kind":"arxiv","id":"2401.10608","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10608","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10608v2","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10608","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"pith_short_12","alias_value":"I67BA3MWSB7Z","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"pith_short_16","alias_value":"I67BA3MWSB7Z6CUU","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"pith_short_8","alias_value":"I67BA3MW","created_at":"2026-07-05T07:36:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:I67BA3MWSB7Z6CUUJCBGIQCLVY","target":"record","payload":{"canonical_record":{"source":{"id":"2401.10608","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T10:37:27Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"982295ca687cabd5b02a478cc28948966b413fefa0b55468c70db7b4a7ec78ca","abstract_canon_sha256":"0e0b1a970993b09b9b8743ca6451dae03ae9c2f79a2ba9a9be5fcfadc5752aa6"},"schema_version":"1.0"},"canonical_sha256":"47be106d96907f9f0a94488264404bae351fc375f4e61f7b84c2eb8ab9960cbf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:36:57.770368Z","signature_b64":"F61jpuxG5qOeZ7MHsCd8aR+UKf7sJrfWBMLFUwGJ60iX7+eq6WzzYt25n2ZcZ6A16E2ZK3es0Uy84oeYDuqgBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47be106d96907f9f0a94488264404bae351fc375f4e61f7b84c2eb8ab9960cbf","last_reissued_at":"2026-07-05T07:36:57.769893Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:36:57.769893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.10608","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:36:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"25TTdI5bKHxOUPRcZtens5Low0OUJlaCIIfSTVl9pTM86nYm/W8b8Y9aYRErAXV4BaYyUvtdBbvFQ71cMR2yDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:30:47.556332Z"},"content_sha256":"88d1a40aad193959d192fc070f7d5be30417b4c6857d38363e942276ce41f7f1","schema_version":"1.0","event_id":"sha256:88d1a40aad193959d192fc070f7d5be30417b4c6857d38363e942276ce41f7f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:I67BA3MWSB7Z6CUUJCBGIQCLVY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.CV","authors_text":"Hongyi Wang, Jing Liu, Lanfen Lin, Shuyi Ouyang, Xiuju Du, Yen-Wei Chen","submitted_at":"2024-01-19T10:37:27Z","abstract_excerpt":"The advancement of Spatial Transcriptomics (ST) has facilitated the spatially-aware profiling of gene expressions based on histopathology images. Although ST data offers valuable insights into the micro-environment of tumors, its acquisition cost remains expensive. Therefore, directly predicting the ST expressions from digital pathology images is desired. Current methods usually adopt existing regression backbones for this task, which ignore the inherent multi-scale hierarchical data structure of digital pathology images. To address this limit, we propose M2ORT, a many-to-one regression Transf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10608","kind":"arxiv","version":2},"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/2401.10608/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":"2026-07-05T07:36:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qlAqzzp6U2w9TNH91HOyTc1CbKG3ua5XTBrswX28gmqAzjeKkzqv+Ta02hbJ6prdPr9TBB3/ks+8m4s78yZ2Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:30:47.556902Z"},"content_sha256":"c6a467315974c76e842eddee365900a5a0d68fa0dd92d8f0493860afc74d6ad5","schema_version":"1.0","event_id":"sha256:c6a467315974c76e842eddee365900a5a0d68fa0dd92d8f0493860afc74d6ad5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I67BA3MWSB7Z6CUUJCBGIQCLVY/bundle.json","state_url":"https://pith.science/pith/I67BA3MWSB7Z6CUUJCBGIQCLVY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I67BA3MWSB7Z6CUUJCBGIQCLVY/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":"2026-08-06T15:30:47Z","links":{"resolver":"https://pith.science/pith/I67BA3MWSB7Z6CUUJCBGIQCLVY","bundle":"https://pith.science/pith/I67BA3MWSB7Z6CUUJCBGIQCLVY/bundle.json","state":"https://pith.science/pith/I67BA3MWSB7Z6CUUJCBGIQCLVY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I67BA3MWSB7Z6CUUJCBGIQCLVY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I67BA3MWSB7Z6CUUJCBGIQCLVY","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":"0e0b1a970993b09b9b8743ca6451dae03ae9c2f79a2ba9a9be5fcfadc5752aa6","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T10:37:27Z","title_canon_sha256":"982295ca687cabd5b02a478cc28948966b413fefa0b55468c70db7b4a7ec78ca"},"schema_version":"1.0","source":{"id":"2401.10608","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10608","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10608v2","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10608","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"pith_short_12","alias_value":"I67BA3MWSB7Z","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"pith_short_16","alias_value":"I67BA3MWSB7Z6CUU","created_at":"2026-07-05T07:36:57Z"},{"alias_kind":"pith_short_8","alias_value":"I67BA3MW","created_at":"2026-07-05T07:36:57Z"}],"graph_snapshots":[{"event_id":"sha256:c6a467315974c76e842eddee365900a5a0d68fa0dd92d8f0493860afc74d6ad5","target":"graph","created_at":"2026-07-05T07:36:57Z","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/2401.10608/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advancement of Spatial Transcriptomics (ST) has facilitated the spatially-aware profiling of gene expressions based on histopathology images. Although ST data offers valuable insights into the micro-environment of tumors, its acquisition cost remains expensive. Therefore, directly predicting the ST expressions from digital pathology images is desired. Current methods usually adopt existing regression backbones for this task, which ignore the inherent multi-scale hierarchical data structure of digital pathology images. To address this limit, we propose M2ORT, a many-to-one regression Transf","authors_text":"Hongyi Wang, Jing Liu, Lanfen Lin, Shuyi Ouyang, Xiuju Du, Yen-Wei Chen","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T10:37:27Z","title":"M2ORT: Many-To-One Regression Transformer for Spatial Transcriptomics Prediction from Histopathology Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10608","kind":"arxiv","version":2},"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":"sha256:88d1a40aad193959d192fc070f7d5be30417b4c6857d38363e942276ce41f7f1","target":"record","created_at":"2026-07-05T07:36:57Z","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":"0e0b1a970993b09b9b8743ca6451dae03ae9c2f79a2ba9a9be5fcfadc5752aa6","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T10:37:27Z","title_canon_sha256":"982295ca687cabd5b02a478cc28948966b413fefa0b55468c70db7b4a7ec78ca"},"schema_version":"1.0","source":{"id":"2401.10608","kind":"arxiv","version":2}},"canonical_sha256":"47be106d96907f9f0a94488264404bae351fc375f4e61f7b84c2eb8ab9960cbf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47be106d96907f9f0a94488264404bae351fc375f4e61f7b84c2eb8ab9960cbf","first_computed_at":"2026-07-05T07:36:57.769893Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:36:57.769893Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F61jpuxG5qOeZ7MHsCd8aR+UKf7sJrfWBMLFUwGJ60iX7+eq6WzzYt25n2ZcZ6A16E2ZK3es0Uy84oeYDuqgBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:36:57.770368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.10608","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88d1a40aad193959d192fc070f7d5be30417b4c6857d38363e942276ce41f7f1","sha256:c6a467315974c76e842eddee365900a5a0d68fa0dd92d8f0493860afc74d6ad5"],"state_sha256":"9690c6b913e70de5aea475ed64d3667c78554439a9f9512d6da0c353a38dcab6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WaI/xAmIBNBkJvB/HF8KsxF6LzyYBBHy8NB1lnDzrnqkZfXUXZu39/mqQFKNdYidQK1wwxIvzOEPU1BF8R/jBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:30:47.561967Z","bundle_sha256":"700cb19aa83fd59d19fa904371a089a50805abd281e0cc4c99d012963aa5e978"}}