Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T08:41:06.586432Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2604.19815.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T08:41:06.586432Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
58 of 58 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5bf5a90b-f383-4505-875e-6804020f5f37 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning
Reference 1
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization K-paths: Reasoning over graph paths for drug repurposing and drug interaction prediction
Reference 2
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization A foundation model for clinician-centered drug repurposing
Reference 3
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization DrugSim2DR: systematic prediction of drug functional similarities in the context of specific disease for drug repurposing
Reference 4
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 5
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Computational drug repurposing by exploiting large-scale gene expression data: Strategy, methods and applications
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization & Akhmedov, M
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Reference 8
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
Reference 9
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Drug repurposing for Alzheimer’s disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph
Reference 10
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization DrugReX: an explainable drug repurposing system powered by large language models and literature-based knowledge graph
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Observation 69f64398-decd-4a5b-b478-e1197c01bc36 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization & Nematbakhsh, M
Reference 12
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Observation d96c77b3-52e4-4fb5-a20b-793a4d3ee36d · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration
Reference 13
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Reference 14
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization DrugReAlign: a multisource prompt framework for drug repurposing based on large language models
Reference 15
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools
Reference 16
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Observation 7c62e4db-d1c6-44ba-9689-60b5fae43753 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization & Ricketts, C.J
Reference 17
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Reference 18
Source-reported events for the cited work
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Reference 19
Source-reported events for the cited work
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Reference 20
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Observation eedc4e1c-fbb0-442c-b9f2-b766b055e038 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Comparative toxicogenomics database’s 20th anniversary: update 2025
Reference 21
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge
Reference 22
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization SigCom LINCS: data and metadata search engine for a million gene expression signatures
Reference 23
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Observation 1e72019a-e5d8-4558-9fd1-2d7d0674d2c3 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization A landscape of pharmacogenomic interactions in cancer
Reference 24
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Observation a3cc944c-0046-4728-b2f7-755d438a6e54 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization MEDICASCY: a machine learning approach for predicting small-molecule drug side effects, indications, efficacy, and modes of action
Reference 25
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Observation 06a0e260-79c9-4c23-a415-373ef9dcf755 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Systematic integration of biomedical knowledge prioritizes drugs for repurposing
Reference 26
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Observation 9a7c60db-7d96-4dc7-9edc-c06c66ce52dd · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Systemic therapy for mucosal, acral, and uveal melanoma
Reference 27
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Conserved interferon-γ signaling drives clinical response to immune checkpoint blockade therapy in melanoma
Reference 28
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Observation 87b2362c-f113-4f60-834f-b6106ba8fa3c · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization B cells sustain inflammation and predict response to immune checkpoint blockade in human melanoma
Reference 29
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Reference 30
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Synthetic lethality-mediated precision oncology via the tumor transcriptome
Reference 31
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Tumor and microenvironment evolution during immunotherapy with nivolumab
Reference 32
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma
Reference 33
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization & Hacohen, N
Reference 34
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
Reference 35
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Personalized prediction of anticancer potential of non-oncology drugs through learning from genome derived molecular pathways
Reference 36
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Reference 37
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization TheraMind: A Multi-LLM Agent for Accelerating Drug Repurposing in Lung Cancer via Case Report Mining
Reference 38
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Medcpt: Contrastive pre-trained transformers with large-scale pubmed search logs for zero-shot biomedical information retrieval
Reference 39
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms
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Observation a08fac40-e9ea-4202-b568-8ad1e37fd9a1 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells
Reference 41
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Reference 42
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1
Reference 43
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Reference 44
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 45
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 46
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Reference 47
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Observation c9bb2a1d-b9f4-4240-8a50-4c123e05f44d · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 48
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 49
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 50
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 51
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 52
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Reference 53
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 54
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Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 55
Source-reported events for the cited work
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Observation 35df0767-8f2a-475b-98e8-934250cd2e21 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 56
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Observation efaea0db-b187-4c96-8b79-39ad8dcb1130 · outbound
Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization Unresolved cited work
Reference 57
Source-reported events for the cited work
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Observation 4c924945-5b8b-47ce-93e4-c85bd6146999 · outbound
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Reference 58
Source-reported events for the cited work
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No inbound Pith citation observations are available.