{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:QSYFQYHHHUMSOBRSZVO34DWRWY","short_pith_number":"pith:QSYFQYHH","canonical_record":{"source":{"id":"2301.02242","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2023-01-03T10:03:08Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e02bd90bbc5c7595b5d2b1d36d3da12de8968c8d5487ca967b5cdfb3856c3faa","abstract_canon_sha256":"2fc77df0425441241654aa3fa7c6fd42b7e9cf5dc4eeb87fb419b01d4901a8c7"},"schema_version":"1.0"},"canonical_sha256":"84b05860e73d19270632cd5dbe0ed1b62d011fdcccea967569f33519f8bb4233","source":{"kind":"arxiv","id":"2301.02242","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.02242","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"arxiv_version","alias_value":"2301.02242v1","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.02242","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"pith_short_12","alias_value":"QSYFQYHHHUMS","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"pith_short_16","alias_value":"QSYFQYHHHUMSOBRS","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"pith_short_8","alias_value":"QSYFQYHH","created_at":"2026-07-05T07:00:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:QSYFQYHHHUMSOBRSZVO34DWRWY","target":"record","payload":{"canonical_record":{"source":{"id":"2301.02242","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2023-01-03T10:03:08Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e02bd90bbc5c7595b5d2b1d36d3da12de8968c8d5487ca967b5cdfb3856c3faa","abstract_canon_sha256":"2fc77df0425441241654aa3fa7c6fd42b7e9cf5dc4eeb87fb419b01d4901a8c7"},"schema_version":"1.0"},"canonical_sha256":"84b05860e73d19270632cd5dbe0ed1b62d011fdcccea967569f33519f8bb4233","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:58.370661Z","signature_b64":"XfnjlOzZo9dkwo0xPAGt77IVNe8f35rOH6KhwFOvd9euJJqTGR7y8nc8g4kOS1Uw15uukxkSFdOCdmJMndSDDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84b05860e73d19270632cd5dbe0ed1b62d011fdcccea967569f33519f8bb4233","last_reissued_at":"2026-07-05T07:00:58.370123Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:58.370123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.02242","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":"2026-07-05T07:00:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aV2RnT841jWcmq3s17BlOHvk8oyKOKxhqkSbpsSoqMDg73lC6q9gy8x1ZMzkIEiFbGSW3k8yUeaTu63UsVouCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:42:02.071971Z"},"content_sha256":"64e55c0b004a6a8dc4185ba02fe22f52e3d419da3dfcde55e254b82f30b98492","schema_version":"1.0","event_id":"sha256:64e55c0b004a6a8dc4185ba02fe22f52e3d419da3dfcde55e254b82f30b98492"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:QSYFQYHHHUMSOBRSZVO34DWRWY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph Contrastive Learning for Multi-omics Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"q-bio.GN","authors_text":"Aarushi Chitkara, Nishant Rajadhyaksha","submitted_at":"2023-01-03T10:03:08Z","abstract_excerpt":"Advancements in technologies related to working with omics data require novel computation methods to fully leverage information and help develop a better understanding of human diseases. This paper studies the effects of introducing graph contrastive learning to help leverage graph structure and information to produce better representations for downstream classification tasks for multi-omics datasets. We present a learnining framework named Multi-Omics Graph Contrastive Learner(MOGCL) which outperforms several aproaches for integrating multi-omics data for supervised learning tasks. We show th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.02242","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/2301.02242/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":"2026-07-05T07:00:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y6ODHkT8wF5bokTNjZdhwfCcG0eZYD37ea5kmsPhUOuFSsztXzB7RmhJKegqgmP9Jv6oPKu6r36h9Jwvo/F0Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T00:42:02.072462Z"},"content_sha256":"da837b0e19f515ddc545cbe80b84d02f7a6e432fad89b8475a7ccfc94dbffa4f","schema_version":"1.0","event_id":"sha256:da837b0e19f515ddc545cbe80b84d02f7a6e432fad89b8475a7ccfc94dbffa4f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QSYFQYHHHUMSOBRSZVO34DWRWY/bundle.json","state_url":"https://pith.science/pith/QSYFQYHHHUMSOBRSZVO34DWRWY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QSYFQYHHHUMSOBRSZVO34DWRWY/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":"2026-08-09T00:42:02Z","links":{"resolver":"https://pith.science/pith/QSYFQYHHHUMSOBRSZVO34DWRWY","bundle":"https://pith.science/pith/QSYFQYHHHUMSOBRSZVO34DWRWY/bundle.json","state":"https://pith.science/pith/QSYFQYHHHUMSOBRSZVO34DWRWY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QSYFQYHHHUMSOBRSZVO34DWRWY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QSYFQYHHHUMSOBRSZVO34DWRWY","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":"2fc77df0425441241654aa3fa7c6fd42b7e9cf5dc4eeb87fb419b01d4901a8c7","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2023-01-03T10:03:08Z","title_canon_sha256":"e02bd90bbc5c7595b5d2b1d36d3da12de8968c8d5487ca967b5cdfb3856c3faa"},"schema_version":"1.0","source":{"id":"2301.02242","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.02242","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"arxiv_version","alias_value":"2301.02242v1","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.02242","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"pith_short_12","alias_value":"QSYFQYHHHUMS","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"pith_short_16","alias_value":"QSYFQYHHHUMSOBRS","created_at":"2026-07-05T07:00:58Z"},{"alias_kind":"pith_short_8","alias_value":"QSYFQYHH","created_at":"2026-07-05T07:00:58Z"}],"graph_snapshots":[{"event_id":"sha256:da837b0e19f515ddc545cbe80b84d02f7a6e432fad89b8475a7ccfc94dbffa4f","target":"graph","created_at":"2026-07-05T07:00:58Z","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/2301.02242/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Advancements in technologies related to working with omics data require novel computation methods to fully leverage information and help develop a better understanding of human diseases. This paper studies the effects of introducing graph contrastive learning to help leverage graph structure and information to produce better representations for downstream classification tasks for multi-omics datasets. We present a learnining framework named Multi-Omics Graph Contrastive Learner(MOGCL) which outperforms several aproaches for integrating multi-omics data for supervised learning tasks. We show th","authors_text":"Aarushi Chitkara, Nishant Rajadhyaksha","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2023-01-03T10:03:08Z","title":"Graph Contrastive Learning for Multi-omics Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.02242","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":"sha256:64e55c0b004a6a8dc4185ba02fe22f52e3d419da3dfcde55e254b82f30b98492","target":"record","created_at":"2026-07-05T07:00:58Z","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":"2fc77df0425441241654aa3fa7c6fd42b7e9cf5dc4eeb87fb419b01d4901a8c7","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.GN","submitted_at":"2023-01-03T10:03:08Z","title_canon_sha256":"e02bd90bbc5c7595b5d2b1d36d3da12de8968c8d5487ca967b5cdfb3856c3faa"},"schema_version":"1.0","source":{"id":"2301.02242","kind":"arxiv","version":1}},"canonical_sha256":"84b05860e73d19270632cd5dbe0ed1b62d011fdcccea967569f33519f8bb4233","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84b05860e73d19270632cd5dbe0ed1b62d011fdcccea967569f33519f8bb4233","first_computed_at":"2026-07-05T07:00:58.370123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:00:58.370123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XfnjlOzZo9dkwo0xPAGt77IVNe8f35rOH6KhwFOvd9euJJqTGR7y8nc8g4kOS1Uw15uukxkSFdOCdmJMndSDDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:00:58.370661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.02242","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:64e55c0b004a6a8dc4185ba02fe22f52e3d419da3dfcde55e254b82f30b98492","sha256:da837b0e19f515ddc545cbe80b84d02f7a6e432fad89b8475a7ccfc94dbffa4f"],"state_sha256":"9f841c4bf9a397502d319477fc2f7f1a04b111e63049391300ebdc5e56e46dbf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uhw99o9tY2Bdx+lp8A5k4ZUJ9xXrMGR7Qdv4FLjQLhWXOxDVaDWNvfO7v96xH2NC9IYc7I952Z8tnRQ7ZM2vBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T00:42:02.076066Z","bundle_sha256":"dbf115968c724be5101027312f5d536a3f5c4c917f3489565e442cd8693c53f6"}}