Paper Citation Record · LEDGER

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

As of 15 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 19 inbound Pith citation observations for arXiv:2411.15692.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.15692 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:04:57.271176Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:37:17.041171Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T09:59:45.816190Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy2
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9d22c926-fe01-4796-a6bc-42332ef6eb4c · outbound

This paper cites an unresolved cited work.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:04:57.435526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 31be2899-92f5-40d8-8110-a770c8639540 · outbound

This paper cites an unresolved cited work.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:04:57.421453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ac6fe12-f092-47ba-8cff-3d0661d579f2 · outbound

This paper cites AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:57.230618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f5403de-32a8-4f46-b854-6a9a8ae51344 · outbound

This paper cites J Code and Reproducibility The DrugAgent code is available at our anony- mous repository: https://anonymous.4open.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration J Code and Reproducibility The DrugAgent code is available at our anony- mous repository: https://anonymous.4open

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:57.394753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec063512-8ac3-496d-82b3-8c313b306c46 · outbound

This paper cites ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:57.249783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57424678-1ea4-47b3-89d5-e3918cd139d8 · outbound

This paper cites an unresolved cited work.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:04:57.407803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ec138ba-26ef-4117-94b6-3d8e6f2091f8 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:57.219664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8848a947-fd08-4136-af4d-fa15148538fb · outbound

This paper cites CountVectorizer.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration CountVectorizer

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:04:57.449744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09fa91bd-cded-4411-94dc-987f5a0e5746 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:57.240555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 715ac4c9-0549-4ea2-8421-854cfa52d31d · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:57.225906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7914b56b-4be2-4374-a859-0fdbaa55789b · outbound

This paper cites Designing and Evaluating Multi-Chatbot Interface for Human-AI Communication: Preliminary Findings from a Persuasion Task.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Designing and Evaluating Multi-Chatbot Interface for Human-AI Communication: Preliminary Findings from a Persuasion Task

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:57.245076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0335dbdb-e973-48c0-8a5b-d250d25586bb · outbound

This paper cites Tool Learning with Foundation Models.

DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration Tool Learning with Foundation Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T14:04:57.235956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7ca7491b-dac6-4d7c-be05-ead7f82340be · inbound

Can Hallucinations Help? Boosting LLMs for Drug Discovery cites this paper.

Can Hallucinations Help? Boosting LLMs for Drug Discovery DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T15:39:26.386149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d5485d-3adc-4870-9c40-39e4f57dea87 · inbound

AI Scientists Fail Without Strong Implementation Capability cites this paper.

AI Scientists Fail Without Strong Implementation Capability DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:49:03.711750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0274d988-583c-46f7-abd8-106ea94fdaa1 · inbound

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists cites this paper.

Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:45.925451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e42c21-afe9-4f86-a3ce-17fa814d2a59 · inbound

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search cites this paper.

DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:23.652762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1cc695-55db-4dde-8559-da173d7437ab · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.413574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 40b1f078-fb6f-4279-9acf-45a78fe25f04 · inbound

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra cites this paper.

IR-Agent: Expert-Inspired LLM Agents for Structure Elucidation from Infrared Spectra DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:20:45.260541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 15bdd460-0b25-430a-a0bf-25a269a32a7d · inbound

Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design cites this paper.

Valid Property-Enhanced Contrastive Learning for Targeted Optimization & Resampling for Novel Drug Design DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:33.655939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 022d5e72-5d0f-44da-ad9d-8004b5abba4c · inbound

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins cites this paper.

Scalable Agentic Reasoning for Designing Biologics Targeting Intrinsically Disordered Proteins DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:08:36.123794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8144f61-7bf8-40a4-a332-21434666f641 · inbound

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery cites this paper.

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:20:30.330042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d96c77b3-52e4-4fb5-a20b-793a4d3ee36d · inbound

Large Language Models Meet Biomedical Knowledge Graphs for Mechanistically Grounded Therapeutic Prioritization cites this paper.

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

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:43:01.363518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ec173e76-3f7e-497b-801f-5d0a5e85aa97 · inbound

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization cites this paper.

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:28:17.552242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 09f950de-eed4-4372-b07b-573a54695c42 · inbound

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization cites this paper.

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:50:01.493860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d80b62eb-6a13-44b0-a2b6-4a1ed62b6aa0 · inbound

Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying Generalizable Improvements cites this paper.

Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying Generalizable Improvements DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.817853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4906c788-9005-47bd-8043-ded06b716b55 · inbound

A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign cites this paper.

A Precedent-Guided Co-Scientist for Side-Effect-Aware Drug Redesign DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T05:56:10.441901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c1274e8-c9ab-416b-bd5d-b086043fa149 · inbound

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias cites this paper.

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 165

Resolution: unresolved; no resolver link, observed 2026-07-14T02:33:34.084111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3977b6b8-f3c6-49d4-84a9-5b7a5943af9b · inbound

Evaluating Agentic Bioinformatics through Function, Evidence, and Validation cites this paper.

Evaluating Agentic Bioinformatics through Function, Evidence, and Validation DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-01T05:48:24.740429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6027f2d1-28e2-4faa-b27b-2a288a29ebfa · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T07:51:21.437172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a9f2504-5da8-478b-bdb1-5b607e265771 · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T04:25:21.972274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9779922-6a35-4ac4-92b8-052a75cffd58 · inbound

CAi Copilot: Reducing Operational Workload in Molecular Design through Intent-Driven Agentic Workflows cites this paper.

CAi Copilot: Reducing Operational Workload in Molecular Design through Intent-Driven Agentic Workflows DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:37:17.041171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.