{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:SQHNO3RUU5HYJGCRFMBNWJ5VHF","short_pith_number":"pith:SQHNO3RU","canonical_record":{"source":{"id":"2605.30247","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T17:12:48Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"1cab58cde7c77bb3c9c7cb6097bfb83af30e7cc5d8f65e1a4315570dec47721b","abstract_canon_sha256":"cba03f5f78a4281f9cb5f20721524d9661ee91bbc899b13447a83a108917fd3a"},"schema_version":"1.0"},"canonical_sha256":"940ed76e34a74f8498512b02db27b5395a215296722bcc676f7f2beee7dc2605","source":{"kind":"arxiv","id":"2605.30247","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30247","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30247v1","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30247","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_12","alias_value":"SQHNO3RUU5HY","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_16","alias_value":"SQHNO3RUU5HYJGCR","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_8","alias_value":"SQHNO3RU","created_at":"2026-05-29T02:06:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:SQHNO3RUU5HYJGCRFMBNWJ5VHF","target":"record","payload":{"canonical_record":{"source":{"id":"2605.30247","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T17:12:48Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"1cab58cde7c77bb3c9c7cb6097bfb83af30e7cc5d8f65e1a4315570dec47721b","abstract_canon_sha256":"cba03f5f78a4281f9cb5f20721524d9661ee91bbc899b13447a83a108917fd3a"},"schema_version":"1.0"},"canonical_sha256":"940ed76e34a74f8498512b02db27b5395a215296722bcc676f7f2beee7dc2605","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:06:13.898384Z","signature_b64":"mQYF7moQb1EeNvQ855vJC0un8yf9zlsPeg9cUgPoVxOm8LUXieWzvnsD6OMhOilJ/inG2EDMvl8OzILf45iwCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"940ed76e34a74f8498512b02db27b5395a215296722bcc676f7f2beee7dc2605","last_reissued_at":"2026-05-29T02:06:13.897960Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:06:13.897960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.30247","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":"2026-05-29T02:06:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6KPmv0NdDuIqNKCfxfLE+cF97mOHlJrTofQN1lm+n5FYAVXwSalDKRN7eRvaw0Qsn/oamDNQwlg00rTglr25Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T19:35:15.915298Z"},"content_sha256":"ea7464883e60809aedcca1948a3ecd9e62be6529ddb017232c7d25f29a90ae2d","schema_version":"1.0","event_id":"sha256:ea7464883e60809aedcca1948a3ecd9e62be6529ddb017232c7d25f29a90ae2d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:SQHNO3RUU5HYJGCRFMBNWJ5VHF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.LG","authors_text":"Linxin Xiao, Wenwu Zhu, Xin Wang, Yang Yao","submitted_at":"2026-05-28T17:12:48Z","abstract_excerpt":"Drug synergy prediction (DSP) aims to identify efficacious drug combinations under various cellular contexts with different targets. However, the continual emergence of novel compounds results in variations in molecular scaffolds and sizes, causing drug synergy data to exhibit out-of-distribution (O.O.D.) shifts with respect to topological structure. Existing works rely on in-distribution (I.D.) assumption, failing to handle the O.O.D. shifts. To solve this problem, we study out-of-distribution generalized drug synergy prediction through a graph large language model for the first time. Neverth"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30247","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/2605.30247/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":"2026-05-29T02:06:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rrrstSrE9k3WvYb1NPEUfTbE11941NTnLhEv/buxuEGwkf3tWhb4eb71LbKAQHslm+W1MMng9ZQUvo23U23iDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T19:35:15.915710Z"},"content_sha256":"c2334d61969d3ed89bbe38f8a2100ca9848dadcf41f59efe100604e5dfb4f5a5","schema_version":"1.0","event_id":"sha256:c2334d61969d3ed89bbe38f8a2100ca9848dadcf41f59efe100604e5dfb4f5a5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SQHNO3RUU5HYJGCRFMBNWJ5VHF/bundle.json","state_url":"https://pith.science/pith/SQHNO3RUU5HYJGCRFMBNWJ5VHF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SQHNO3RUU5HYJGCRFMBNWJ5VHF/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":"2026-06-29T19:35:15Z","links":{"resolver":"https://pith.science/pith/SQHNO3RUU5HYJGCRFMBNWJ5VHF","bundle":"https://pith.science/pith/SQHNO3RUU5HYJGCRFMBNWJ5VHF/bundle.json","state":"https://pith.science/pith/SQHNO3RUU5HYJGCRFMBNWJ5VHF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SQHNO3RUU5HYJGCRFMBNWJ5VHF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:SQHNO3RUU5HYJGCRFMBNWJ5VHF","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":"cba03f5f78a4281f9cb5f20721524d9661ee91bbc899b13447a83a108917fd3a","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T17:12:48Z","title_canon_sha256":"1cab58cde7c77bb3c9c7cb6097bfb83af30e7cc5d8f65e1a4315570dec47721b"},"schema_version":"1.0","source":{"id":"2605.30247","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.30247","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"arxiv_version","alias_value":"2605.30247v1","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30247","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_12","alias_value":"SQHNO3RUU5HY","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_16","alias_value":"SQHNO3RUU5HYJGCR","created_at":"2026-05-29T02:06:13Z"},{"alias_kind":"pith_short_8","alias_value":"SQHNO3RU","created_at":"2026-05-29T02:06:13Z"}],"graph_snapshots":[{"event_id":"sha256:c2334d61969d3ed89bbe38f8a2100ca9848dadcf41f59efe100604e5dfb4f5a5","target":"graph","created_at":"2026-05-29T02:06:13Z","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/2605.30247/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Drug synergy prediction (DSP) aims to identify efficacious drug combinations under various cellular contexts with different targets. However, the continual emergence of novel compounds results in variations in molecular scaffolds and sizes, causing drug synergy data to exhibit out-of-distribution (O.O.D.) shifts with respect to topological structure. Existing works rely on in-distribution (I.D.) assumption, failing to handle the O.O.D. shifts. To solve this problem, we study out-of-distribution generalized drug synergy prediction through a graph large language model for the first time. Neverth","authors_text":"Linxin Xiao, Wenwu Zhu, Xin Wang, Yang Yao","cross_cats":["cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T17:12:48Z","title":"OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30247","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:ea7464883e60809aedcca1948a3ecd9e62be6529ddb017232c7d25f29a90ae2d","target":"record","created_at":"2026-05-29T02:06:13Z","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":"cba03f5f78a4281f9cb5f20721524d9661ee91bbc899b13447a83a108917fd3a","cross_cats_sorted":["cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T17:12:48Z","title_canon_sha256":"1cab58cde7c77bb3c9c7cb6097bfb83af30e7cc5d8f65e1a4315570dec47721b"},"schema_version":"1.0","source":{"id":"2605.30247","kind":"arxiv","version":1}},"canonical_sha256":"940ed76e34a74f8498512b02db27b5395a215296722bcc676f7f2beee7dc2605","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"940ed76e34a74f8498512b02db27b5395a215296722bcc676f7f2beee7dc2605","first_computed_at":"2026-05-29T02:06:13.897960Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-29T02:06:13.897960Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mQYF7moQb1EeNvQ855vJC0un8yf9zlsPeg9cUgPoVxOm8LUXieWzvnsD6OMhOilJ/inG2EDMvl8OzILf45iwCA==","signature_status":"signed_v1","signed_at":"2026-05-29T02:06:13.898384Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.30247","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea7464883e60809aedcca1948a3ecd9e62be6529ddb017232c7d25f29a90ae2d","sha256:c2334d61969d3ed89bbe38f8a2100ca9848dadcf41f59efe100604e5dfb4f5a5"],"state_sha256":"47113bb365d8768595f7727f4aae955a597549933e80fdf4423acb2e891c8ef6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qe4B4mI4EY+f6j6fpb4pEmD/Q/c3NeU0na/61QrA2zWjF3+I20OOftD4Gz47ZPYhDF8w1go0ovmHW9zxkjsyBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T19:35:15.917639Z","bundle_sha256":"495e05d697a9cc5ccfb721dedaef74477125e4b8c8b04816a22c759973270550"}}