{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TP54U4MDNY7ZELQDZSQTIKKQUS","short_pith_number":"pith:TP54U4MD","canonical_record":{"source":{"id":"2311.16208","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2023-11-27T16:47:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ca8bc247cd07ca23ce74ce36e1918ad35af6ab878bb33acb98e0940097a50786","abstract_canon_sha256":"ddc4c37cde9f3700d87f6ebde2a5d5adf951b48223a3db50506725a136aee4ba"},"schema_version":"1.0"},"canonical_sha256":"9bfbca71836e3f922e03cca1342950a4874e6316d8840ad0f949e8bbddc2991d","source":{"kind":"arxiv","id":"2311.16208","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16208","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16208v2","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16208","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"TP54U4MDNY7Z","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_16","alias_value":"TP54U4MDNY7ZELQD","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_8","alias_value":"TP54U4MD","created_at":"2026-07-05T09:51:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TP54U4MDNY7ZELQDZSQTIKKQUS","target":"record","payload":{"canonical_record":{"source":{"id":"2311.16208","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2023-11-27T16:47:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"ca8bc247cd07ca23ce74ce36e1918ad35af6ab878bb33acb98e0940097a50786","abstract_canon_sha256":"ddc4c37cde9f3700d87f6ebde2a5d5adf951b48223a3db50506725a136aee4ba"},"schema_version":"1.0"},"canonical_sha256":"9bfbca71836e3f922e03cca1342950a4874e6316d8840ad0f949e8bbddc2991d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:51:29.833920Z","signature_b64":"9w9uhjTabg4iIJkX3i9ridyHPCWDGv5MrWbjK4D6qwY1sDo6SwIPVMtb5tbB74k9EDCvxs5kZPliSO3EUJnBAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9bfbca71836e3f922e03cca1342950a4874e6316d8840ad0f949e8bbddc2991d","last_reissued_at":"2026-07-05T09:51:29.833473Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:51:29.833473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.16208","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":"2026-07-05T09:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UNxM7xlhiKDqOa2D8pxEbaGxE6M7JjNXkfcc2iGyOUxO/2EXfe+/uhqpUT+/IBgyyvGlOe4yugZQ+fcLPWbjAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T07:06:38.125997Z"},"content_sha256":"ba8eaf1f40b812b3089718590f33ae1a51365516a84dca99176331da6c938d3c","schema_version":"1.0","event_id":"sha256:ba8eaf1f40b812b3089718590f33ae1a51365516a84dca99176331da6c938d3c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TP54U4MDNY7ZELQDZSQTIKKQUS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"q-bio.BM","authors_text":"He Cao, Xingyu Lu, Yuan Yao, Yu Li, Zijing Liu","submitted_at":"2023-11-27T16:47:51Z","abstract_excerpt":"The rapid evolution of artificial intelligence in drug discovery encounters challenges with generalization and extensive training, yet Large Language Models (LLMs) offer promise in reshaping interactions with complex molecular data. Our novel contribution, InstructMol, a multi-modal LLM, effectively aligns molecular structures with natural language via an instruction-tuning approach, utilizing a two-stage training strategy that adeptly combines limited domain-specific data with molecular and textual information. InstructMol showcases substantial performance improvements in drug discovery-relat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16208","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/2311.16208/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":"2026-07-05T09:51:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l9P+Dzjhk5zLnNQ12VP7o7zWuge5W8ekp+Yim730ZnEEttcKE7MKgianhqqim1VJ3n1zsnp2jvHfgBmPZk6yCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T07:06:38.127584Z"},"content_sha256":"076f2eba4f090f46e90efb65753e0226ac65fd52573d8d6b962ddfc4bcffbf48","schema_version":"1.0","event_id":"sha256:076f2eba4f090f46e90efb65753e0226ac65fd52573d8d6b962ddfc4bcffbf48"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TP54U4MDNY7ZELQDZSQTIKKQUS/bundle.json","state_url":"https://pith.science/pith/TP54U4MDNY7ZELQDZSQTIKKQUS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TP54U4MDNY7ZELQDZSQTIKKQUS/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":"2026-08-14T07:06:38Z","links":{"resolver":"https://pith.science/pith/TP54U4MDNY7ZELQDZSQTIKKQUS","bundle":"https://pith.science/pith/TP54U4MDNY7ZELQDZSQTIKKQUS/bundle.json","state":"https://pith.science/pith/TP54U4MDNY7ZELQDZSQTIKKQUS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TP54U4MDNY7ZELQDZSQTIKKQUS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TP54U4MDNY7ZELQDZSQTIKKQUS","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":"ddc4c37cde9f3700d87f6ebde2a5d5adf951b48223a3db50506725a136aee4ba","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2023-11-27T16:47:51Z","title_canon_sha256":"ca8bc247cd07ca23ce74ce36e1918ad35af6ab878bb33acb98e0940097a50786"},"schema_version":"1.0","source":{"id":"2311.16208","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.16208","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"arxiv_version","alias_value":"2311.16208v2","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.16208","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_12","alias_value":"TP54U4MDNY7Z","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_16","alias_value":"TP54U4MDNY7ZELQD","created_at":"2026-07-05T09:51:29Z"},{"alias_kind":"pith_short_8","alias_value":"TP54U4MD","created_at":"2026-07-05T09:51:29Z"}],"graph_snapshots":[{"event_id":"sha256:076f2eba4f090f46e90efb65753e0226ac65fd52573d8d6b962ddfc4bcffbf48","target":"graph","created_at":"2026-07-05T09:51:29Z","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/2311.16208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid evolution of artificial intelligence in drug discovery encounters challenges with generalization and extensive training, yet Large Language Models (LLMs) offer promise in reshaping interactions with complex molecular data. Our novel contribution, InstructMol, a multi-modal LLM, effectively aligns molecular structures with natural language via an instruction-tuning approach, utilizing a two-stage training strategy that adeptly combines limited domain-specific data with molecular and textual information. InstructMol showcases substantial performance improvements in drug discovery-relat","authors_text":"He Cao, Xingyu Lu, Yuan Yao, Yu Li, Zijing Liu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2023-11-27T16:47:51Z","title":"InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.16208","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:ba8eaf1f40b812b3089718590f33ae1a51365516a84dca99176331da6c938d3c","target":"record","created_at":"2026-07-05T09:51:29Z","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":"ddc4c37cde9f3700d87f6ebde2a5d5adf951b48223a3db50506725a136aee4ba","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.BM","submitted_at":"2023-11-27T16:47:51Z","title_canon_sha256":"ca8bc247cd07ca23ce74ce36e1918ad35af6ab878bb33acb98e0940097a50786"},"schema_version":"1.0","source":{"id":"2311.16208","kind":"arxiv","version":2}},"canonical_sha256":"9bfbca71836e3f922e03cca1342950a4874e6316d8840ad0f949e8bbddc2991d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9bfbca71836e3f922e03cca1342950a4874e6316d8840ad0f949e8bbddc2991d","first_computed_at":"2026-07-05T09:51:29.833473Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:29.833473Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9w9uhjTabg4iIJkX3i9ridyHPCWDGv5MrWbjK4D6qwY1sDo6SwIPVMtb5tbB74k9EDCvxs5kZPliSO3EUJnBAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:29.833920Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.16208","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ba8eaf1f40b812b3089718590f33ae1a51365516a84dca99176331da6c938d3c","sha256:076f2eba4f090f46e90efb65753e0226ac65fd52573d8d6b962ddfc4bcffbf48"],"state_sha256":"71e03b10e680662ed6371bf0a5dc1d609d17704761ae33f3fc0aa5e6e670b280"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o1gznw8erCYyYiRjRWpo7oyl2rv4ypPuvFfNLDNLubJziufIKvlw/Z5gFIFFzVKJSjIHW3t0tv0AQ5E4RmJjBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T07:06:38.149258Z","bundle_sha256":"1641534970f16e891f25f44d14bead4d8ba27d6603a3589cb8e1a26e22029845"}}