{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HNDV3B622UWOBUSFBXVCPCBB4A","short_pith_number":"pith:HNDV3B62","canonical_record":{"source":{"id":"2501.01644","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-03T05:29:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"697eac60af926828c01baa4a965d6ea833da6b86e4a688b4b2daae169110f03e","abstract_canon_sha256":"a5921cab438c83cc7959a97e04953f063fad0b457c514535e301a85ae0a67058"},"schema_version":"1.0"},"canonical_sha256":"3b475d87dad52ce0d2450dea278821e0060d1379bd1a2cf2aa56f099e93ffb13","source":{"kind":"arxiv","id":"2501.01644","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01644","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01644v2","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01644","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"pith_short_12","alias_value":"HNDV3B622UWO","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"HNDV3B622UWOBUSF","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"HNDV3B62","created_at":"2026-07-05T11:28:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HNDV3B622UWOBUSFBXVCPCBB4A","target":"record","payload":{"canonical_record":{"source":{"id":"2501.01644","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-03T05:29:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"697eac60af926828c01baa4a965d6ea833da6b86e4a688b4b2daae169110f03e","abstract_canon_sha256":"a5921cab438c83cc7959a97e04953f063fad0b457c514535e301a85ae0a67058"},"schema_version":"1.0"},"canonical_sha256":"3b475d87dad52ce0d2450dea278821e0060d1379bd1a2cf2aa56f099e93ffb13","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:33.227451Z","signature_b64":"Et5J8xQk3CKGSJidOlwklA5REK0daFTm3eeaIic1lLihkQU9n8TKlqKYuu2178aENh7dTwrYpDbBHSzmZCiuBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3b475d87dad52ce0d2450dea278821e0060d1379bd1a2cf2aa56f099e93ffb13","last_reissued_at":"2026-07-05T11:28:33.226957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:33.226957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.01644","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":"2026-07-05T11:28:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UF3szB7J4okZK65mXfocRhi2bWUDLLpPkNXjKnv7D+xmX2ZbZwvo26USVwb4/aTNUFsWCPIC9U/7i1t5Y+duAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:48:25.388359Z"},"content_sha256":"4190f6544a487e2c5508cad7cf0f72de3c421efa0a3c88f655bed7fcb152140e","schema_version":"1.0","event_id":"sha256:4190f6544a487e2c5508cad7cf0f72de3c421efa0a3c88f655bed7fcb152140e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HNDV3B622UWOBUSFBXVCPCBB4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Minh Tuan Le, Tien Dang, Truong-Son Hy, Viet Thanh Duy Nguyen","submitted_at":"2025-01-03T05:29:12Z","abstract_excerpt":"Biomedical Knowledge Graphs (BKGs) integrate diverse datasets to elucidate complex relationships within the biomedical field. Effective link prediction on these graphs can uncover valuable connections, such as potential novel drug-disease relations. We introduce a novel multimodal approach that unifies embeddings from specialized Language Models (LMs) with Graph Contrastive Learning (GCL) to enhance intra-entity relationships while employing a Knowledge Graph Embedding (KGE) model to capture inter-entity relationships for effective link prediction. To address limitations in existing BKGs, we p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01644","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/2501.01644/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":"2026-07-05T11:28:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ERPsjsDWcfvjfcoCV1YMlkSFZ6twuGAs1fpTwfNPeyNxFp4paO/N3UUGxkTaHGjvBCaWGtD3702r9eWdTOGqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:48:25.388737Z"},"content_sha256":"46a27314548db359a467a8a023987b9c59c79ee7f57e2f8533a0b53859ebd933","schema_version":"1.0","event_id":"sha256:46a27314548db359a467a8a023987b9c59c79ee7f57e2f8533a0b53859ebd933"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HNDV3B622UWOBUSFBXVCPCBB4A/bundle.json","state_url":"https://pith.science/pith/HNDV3B622UWOBUSFBXVCPCBB4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HNDV3B622UWOBUSFBXVCPCBB4A/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":"2026-08-13T13:48:25Z","links":{"resolver":"https://pith.science/pith/HNDV3B622UWOBUSFBXVCPCBB4A","bundle":"https://pith.science/pith/HNDV3B622UWOBUSFBXVCPCBB4A/bundle.json","state":"https://pith.science/pith/HNDV3B622UWOBUSFBXVCPCBB4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HNDV3B622UWOBUSFBXVCPCBB4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HNDV3B622UWOBUSFBXVCPCBB4A","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":"a5921cab438c83cc7959a97e04953f063fad0b457c514535e301a85ae0a67058","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-03T05:29:12Z","title_canon_sha256":"697eac60af926828c01baa4a965d6ea833da6b86e4a688b4b2daae169110f03e"},"schema_version":"1.0","source":{"id":"2501.01644","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01644","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01644v2","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01644","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"pith_short_12","alias_value":"HNDV3B622UWO","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"pith_short_16","alias_value":"HNDV3B622UWOBUSF","created_at":"2026-07-05T11:28:33Z"},{"alias_kind":"pith_short_8","alias_value":"HNDV3B62","created_at":"2026-07-05T11:28:33Z"}],"graph_snapshots":[{"event_id":"sha256:46a27314548db359a467a8a023987b9c59c79ee7f57e2f8533a0b53859ebd933","target":"graph","created_at":"2026-07-05T11:28:33Z","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/2501.01644/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Biomedical Knowledge Graphs (BKGs) integrate diverse datasets to elucidate complex relationships within the biomedical field. Effective link prediction on these graphs can uncover valuable connections, such as potential novel drug-disease relations. We introduce a novel multimodal approach that unifies embeddings from specialized Language Models (LMs) with Graph Contrastive Learning (GCL) to enhance intra-entity relationships while employing a Knowledge Graph Embedding (KGE) model to capture inter-entity relationships for effective link prediction. To address limitations in existing BKGs, we p","authors_text":"Minh Tuan Le, Tien Dang, Truong-Son Hy, Viet Thanh Duy Nguyen","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-03T05:29:12Z","title":"Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01644","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":"sha256:4190f6544a487e2c5508cad7cf0f72de3c421efa0a3c88f655bed7fcb152140e","target":"record","created_at":"2026-07-05T11:28:33Z","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":"a5921cab438c83cc7959a97e04953f063fad0b457c514535e301a85ae0a67058","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-03T05:29:12Z","title_canon_sha256":"697eac60af926828c01baa4a965d6ea833da6b86e4a688b4b2daae169110f03e"},"schema_version":"1.0","source":{"id":"2501.01644","kind":"arxiv","version":2}},"canonical_sha256":"3b475d87dad52ce0d2450dea278821e0060d1379bd1a2cf2aa56f099e93ffb13","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b475d87dad52ce0d2450dea278821e0060d1379bd1a2cf2aa56f099e93ffb13","first_computed_at":"2026-07-05T11:28:33.226957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:33.226957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Et5J8xQk3CKGSJidOlwklA5REK0daFTm3eeaIic1lLihkQU9n8TKlqKYuu2178aENh7dTwrYpDbBHSzmZCiuBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:33.227451Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01644","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4190f6544a487e2c5508cad7cf0f72de3c421efa0a3c88f655bed7fcb152140e","sha256:46a27314548db359a467a8a023987b9c59c79ee7f57e2f8533a0b53859ebd933"],"state_sha256":"0f98f4d61c1a7bd346d086475884b636dbd07b43869a3eb9014c8f37eda221d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tr3xOzEWZH1nsbOn4SWTXLNlXrR9/SA143XyBeNkOm/JMoo4lQkQyMcXibgPdS8bXTHySJBqTMqdxFvV3wK+Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T13:48:25.391166Z","bundle_sha256":"8617e862fa3a66a36c97f771c29bfbd34cf02a17921c8802022af1190d7d59fb"}}