Paper Citation Record · LEDGER

DrugGen 2: A disease-aware language model for enhancing drug discovery

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.08404.

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

pith.paper-citation-record.v1
2607.08404 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T07:58:43.021527Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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verified fuzzy3
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External citation measurements

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Outbound references

Observation 1a59441d-72a0-4ec1-8a6f-9a4409d4b578 · outbound

This paper cites Advancements in contemporary pharmacological innovation: Mechanistic insights and emerging trends in drug discovery and development.Intell Pharm.

DrugGen 2: A disease-aware language model for enhancing drug discovery Advancements in contemporary pharmacological innovation: Mechanistic insights and emerging trends in drug discovery and development.Intell Pharm

Reference 1

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.727606Z

Source-reported events for the cited work

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Observation ba3faf0a-b57c-42e8-a549-8d8660d86a18 · outbound

This paper cites Phenotypic drug discovery: recent successes, lessons learned and new direc tions.

DrugGen 2: A disease-aware language model for enhancing drug discovery Phenotypic drug discovery: recent successes, lessons learned and new direc tions

Reference 2

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.744530Z

Source-reported events for the cited work

correction dated 2022-06-10. Source: crossref record 10.1038/s41573-022-00503-6->10.1038/s41573-022-00472-w:correction, observed 2026-07-11T03:02:25.502776+00:00. This notice travels one citation hop only.

Observation c5d4b4f2-4cec-490f-ab8e-2fcb25aa23d5 · outbound

This paper cites Complementary Approaches to Existing Tar- get Based Drug Discovery for Identifying Novel Drug Targets.Biomedicines.

DrugGen 2: A disease-aware language model for enhancing drug discovery Complementary Approaches to Existing Tar- get Based Drug Discovery for Identifying Novel Drug Targets.Biomedicines

Reference 3

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.750810Z

Source-reported events for the cited work

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Observation c9b252dc-0677-4c32-b7a2-06c6921cc8d8 · outbound

This paper cites Machine learn- ing in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship.WIREs Comput Mol Sci.

DrugGen 2: A disease-aware language model for enhancing drug discovery Machine learn- ing in drug design: Use of artificial intelligence to explore the chemical structure–biological activity relationship.WIREs Comput Mol Sci

Reference 4

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.704272Z

Source-reported events for the cited work

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Observation 684b3492-b3a0-458b-a712-be6b1a10630c · outbound

This paper cites Generative Deep Learning for de Novo Drug Design—A Chemical Space Odyssey.J Chem Inf Model.

DrugGen 2: A disease-aware language model for enhancing drug discovery Generative Deep Learning for de Novo Drug Design—A Chemical Space Odyssey.J Chem Inf Model

Reference 5

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.726893Z

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Observation 289748be-4de8-4352-bcca-4c271e557d4b · outbound

This paper cites (16) Jablonka, K.

DrugGen 2: A disease-aware language model for enhancing drug discovery (16) Jablonka, K

Reference 6

Resolution: metadata mismatch; doi, observed 2026-07-10T08:06:57.724866Z

Source-reported events for the cited work

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Observation 4c4f66e8-8750-4e56-a876-3b4e683fa072 · outbound

This paper cites Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization.

DrugGen 2: A disease-aware language model for enhancing drug discovery Mol-LLM: Multimodal Generalist Molecular LLM with Improved Graph Utilization

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T08:06:57.900146Z

Source-reported events for the cited work

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Observation 74b2a879-4a3a-4d1d-90d2-28ae38ca84de · outbound

This paper cites Life and death of colloidal bonds control the rate-dependent rheology of gels.

DrugGen 2: A disease-aware language model for enhancing drug discovery Life and death of colloidal bonds control the rate-dependent rheology of gels

Reference 8

Resolution: malformed identifier; doi_truncated, observed 2026-07-10T08:06:57.693399Z

Source-reported events for the cited work

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Observation 707cde93-cea6-4938-8018-27adbff19e49 · outbound

This paper cites DrugLLM: Open Large Language Model for Few-shot Molecule Generation.

DrugGen 2: A disease-aware language model for enhancing drug discovery DrugLLM: Open Large Language Model for Few-shot Molecule Generation

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-10T08:06:57.897295Z

Source-reported events for the cited work

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Observation f0e8effa-f7f1-41d8-8594-ae7d7529a0d8 · outbound

This paper cites Transformer-Based Molecular Generative Model for Antiviral Drug Design.J Chem Inf Model.

DrugGen 2: A disease-aware language model for enhancing drug discovery Transformer-Based Molecular Generative Model for Antiviral Drug Design.J Chem Inf Model

Reference 10

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.701548Z

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Observation ebbe95de-ca52-4de5-a944-565dd008ae9b · outbound

This paper cites 2024;15(1):9360.

DrugGen 2: A disease-aware language model for enhancing drug discovery 2024;15(1):9360

Reference 11

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.710635Z

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Observation 38f82119-cc31-420e-8eb0-fbffa6b95f87 · outbound

This paper cites DrugGPT: A GPT-based Strategy for De- signing Potential Ligands Targeting Specific Proteins.

DrugGen 2: A disease-aware language model for enhancing drug discovery DrugGPT: A GPT-based Strategy for De- signing Potential Ligands Targeting Specific Proteins

Reference 12

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.720406Z

Source-reported events for the cited work

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Observation 6d69e474-1eb3-4910-9ff7-8e5e53291290 · outbound

This paper cites Druggen enhances drug discovery with large language models and reinforcement learning.

DrugGen 2: A disease-aware language model for enhancing drug discovery Druggen enhances drug discovery with large language models and reinforcement learning

Reference 13

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.756595Z

Source-reported events for the cited work

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Observation fb15238a-37a2-454c-bf9a-11b3c382f9a3 · outbound

This paper cites One target, different effects: a comparison of distinct therapeutic antibodies against the same targets.Exp Mol Med.

DrugGen 2: A disease-aware language model for enhancing drug discovery One target, different effects: a comparison of distinct therapeutic antibodies against the same targets.Exp Mol Med

Reference 14

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.734019Z

Source-reported events for the cited work

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Observation 5242e0ed-8e45-485d-800f-171c775484b2 · outbound

This paper cites Personalized Drug Therapy: Innovative Con- cept Guided With Proteoformics.Mol Cell Proteomics MCP.

DrugGen 2: A disease-aware language model for enhancing drug discovery Personalized Drug Therapy: Innovative Con- cept Guided With Proteoformics.Mol Cell Proteomics MCP

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-10T08:06:57.740322Z

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Observation 3f464529-bd33-4573-be22-a67120bf0a12 · outbound

This paper cites Interactions between PPAR Gamma and the Canonical Wnt/β-Catenin Pathway in Type 2 Diabetes and Colon Cancer.PPAR Res.

DrugGen 2: A disease-aware language model for enhancing drug discovery Interactions between PPAR Gamma and the Canonical Wnt/β-Catenin Pathway in Type 2 Diabetes and Colon Cancer.PPAR Res

Reference 16

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.754680Z

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Observation 344f190f-0164-49a2-9fa9-71e8ce57c6b5 · outbound

This paper cites and Buehler, Markus J.

DrugGen 2: A disease-aware language model for enhancing drug discovery and Buehler, Markus J

Reference 17

Resolution: metadata mismatch; doi, observed 2026-07-10T08:06:57.732974Z

Source-reported events for the cited work

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Observation 9b2d5863-150b-4596-8d93-baddb7f59a41 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

DrugGen 2: A disease-aware language model for enhancing drug discovery DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-10T08:06:57.903396Z

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Observation 1bc20327-67e8-4a9d-94ac-158afe96a843 · outbound

This paper cites DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants.Nucleic Acids Res.

DrugGen 2: A disease-aware language model for enhancing drug discovery DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants.Nucleic Acids Res

Reference 19

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.737603Z

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Observation 5531b593-72b5-484b-935f-2ec82de0472b · outbound

This paper cites DrugTar improves drug- gability prediction by integrating large language models and gene ontologies.Bioinformatics.

DrugGen 2: A disease-aware language model for enhancing drug discovery DrugTar improves drug- gability prediction by integrating large language models and gene ontologies.Bioinformatics

Reference 20

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.725539Z

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Observation c6efac7f-b6ea-4720-bee8-86682a8f263a · outbound

This paper cites PLAPT: Protein-Ligand Binding Affinity Predic- tion Using Pretrained Transformers.

DrugGen 2: A disease-aware language model for enhancing drug discovery PLAPT: Protein-Ligand Binding Affinity Predic- tion Using Pretrained Transformers

Reference 21

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.738009Z

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Observation 6a59f649-e4f3-456d-a44d-913352d73bf3 · outbound

This paper cites Two Opposing Functions of Angiotensin- Converting Enzyme (ACE) That Links Hypertension, Dementia, and Aging.Int J Mol Sci.

DrugGen 2: A disease-aware language model for enhancing drug discovery Two Opposing Functions of Angiotensin- Converting Enzyme (ACE) That Links Hypertension, Dementia, and Aging.Int J Mol Sci

Reference 22

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.753044Z

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Observation b6040e47-1bd6-4c7e-abf4-c3f3134563d9 · outbound

This paper cites Angiotensin-converting enzyme degrades Alzheimer amyloid beta-peptide (Aβ); retardsAβaggregation, deposition, fibril formation; and inhibits cytotoxicity.J Biol Chem.

DrugGen 2: A disease-aware language model for enhancing drug discovery Angiotensin-converting enzyme degrades Alzheimer amyloid beta-peptide (Aβ); retardsAβaggregation, deposition, fibril formation; and inhibits cytotoxicity.J Biol Chem

Reference 23

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.728705Z

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Observation 1ae67b3a-924f-4525-9b27-5b9ad2113592 · outbound

This paper cites Gener- ative artificial intelligence in drug discovery: basic framework, recent advances, challenges, and opportunities.Front Pharmacol.

DrugGen 2: A disease-aware language model for enhancing drug discovery Gener- ative artificial intelligence in drug discovery: basic framework, recent advances, challenges, and opportunities.Front Pharmacol

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-10T08:06:57.723363Z

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Observation 52afa58e-98e2-4dbe-9579-9410b0d5bbae · outbound

This paper cites Methods for the elucidation of protein–small molecule interactions.Chem Biol.

DrugGen 2: A disease-aware language model for enhancing drug discovery Methods for the elucidation of protein–small molecule interactions.Chem Biol

Reference 25

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.742614Z

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Observation f942e4c0-961e-4146-8cdb-8f103e439eeb · outbound

This paper cites Small-Molecule Target Engagement in Cells.Cell Chem Biol.

DrugGen 2: A disease-aware language model for enhancing drug discovery Small-Molecule Target Engagement in Cells.Cell Chem Biol

Reference 26

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.740211Z

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Observation 3420aec7-6642-44b1-80ac-0ca4bb100cc4 · outbound

This paper cites Transformer-based deep learning for predicting protein properties in the life sciences.

DrugGen 2: A disease-aware language model for enhancing drug discovery Transformer-based deep learning for predicting protein properties in the life sciences

Reference 27

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.748941Z

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Observation 1bd53fb2-8c42-46cd-b674-1541a39d2f62 · outbound

This paper cites ADMET-score – a comprehensive scoring function for evaluation of chemical drug-likeness.MedChemComm.

DrugGen 2: A disease-aware language model for enhancing drug discovery ADMET-score – a comprehensive scoring function for evaluation of chemical drug-likeness.MedChemComm

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T08:06:58.264260Z

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Observation 60bfeafa-ff15-4345-89e7-e9e20a7c4a2a · outbound

This paper cites an unresolved cited work.

DrugGen 2: A disease-aware language model for enhancing drug discovery Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.751234Z

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Observation 7a8e1b2a-51ed-4d53-bd53-0622e2b0564e · outbound

This paper cites and Schuffenhauer, A.

DrugGen 2: A disease-aware language model for enhancing drug discovery and Schuffenhauer, A

Reference 30

Resolution: metadata mismatch; doi, observed 2026-07-10T08:06:57.718612Z

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Observation 49a7837a-b9af-414c-a8df-820f82ffcb31 · outbound

This paper cites DrugBank: a comprehensive resource for in silico drug discovery and exploration.Nucleic Acids Res.

DrugGen 2: A disease-aware language model for enhancing drug discovery DrugBank: a comprehensive resource for in silico drug discovery and exploration.Nucleic Acids Res

Reference 31

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.730549Z

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Observation b4062b95-13eb-4d56-9070-c3d66aecc39d · outbound

This paper cites CHEMBL database release 33.

DrugGen 2: A disease-aware language model for enhancing drug discovery CHEMBL database release 33

Reference 32

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.719323Z

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Observation 19032e15-27eb-40a6-8e40-5e86938d33fa · outbound

This paper cites ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discovery.

DrugGen 2: A disease-aware language model for enhancing drug discovery ZINC20—A Free Ultralarge-Scale Chemical Database for Ligand Discovery

Reference 33

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.716716Z

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Observation a08a55af-ee22-4c04-baf4-9b5c0b94184d · outbound

This paper cites https://doi.org/10.1093/nar/gkac1052.

DrugGen 2: A disease-aware language model for enhancing drug discovery https://doi.org/10.1093/nar/gkac1052

Reference 34

Resolution: metadata mismatch; doi, observed 2026-07-10T08:06:57.746640Z

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Observation 761213c4-cae5-425d-af5e-c0b5b0cbec44 · outbound

This paper cites Altschul, Warren Gish, Webb Miller, Eugene W.

DrugGen 2: A disease-aware language model for enhancing drug discovery Altschul, Warren Gish, Webb Miller, Eugene W

Reference 35

Resolution: metadata mismatch; doi, observed 2026-07-10T08:06:57.692341Z

Source-reported events for the cited work

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Observation 21d11057-1b5a-4e48-a48d-c339c4cafa59 · outbound

This paper cites huggingface/trl.

DrugGen 2: A disease-aware language model for enhancing drug discovery huggingface/trl

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T08:06:58.268218Z

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Observation 27b4a7a4-6f6d-467c-9e56-20fbec1bb431 · outbound

This paper cites Release 2023_09_5 (Q3 2023) Release·rdkit/rdkit.

DrugGen 2: A disease-aware language model for enhancing drug discovery Release 2023_09_5 (Q3 2023) Release·rdkit/rdkit

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T08:06:58.269957Z

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Observation 950c635d-4e73-4f56-92d0-fd8bd28521dd · outbound

This paper cites Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration.Sci Rep.

DrugGen 2: A disease-aware language model for enhancing drug discovery Protein-Ligand Blind Docking Using QuickVina-W With Inter-Process Spatio-Temporal Integration.Sci Rep

Reference 38

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.752873Z

Source-reported events for the cited work

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Observation 3f31c323-180e-49d4-b36f-2f5ff3939e13 · outbound

This paper cites Protein and ligand prepa- ration: parameters, protocols, and influence on virtual screening enrichments.J Comput Aided Mol Des.

DrugGen 2: A disease-aware language model for enhancing drug discovery Protein and ligand prepa- ration: parameters, protocols, and influence on virtual screening enrichments.J Comput Aided Mol Des

Reference 39

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.745980Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fabecb66-4793-48aa-a305-f64f9bdde2a1 · outbound

This paper cites an unresolved cited work.

DrugGen 2: A disease-aware language model for enhancing drug discovery Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-07-10T08:06:58.266102Z

Source-reported events for the cited work

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Observation 466bf2b0-9eae-479b-b17e-3d4fbe35482f · outbound

This paper cites Ross, Markus K.

DrugGen 2: A disease-aware language model for enhancing drug discovery Ross, Markus K

Reference 41

Resolution: metadata mismatch; doi, observed 2026-07-10T08:06:57.749609Z

Source-reported events for the cited work

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Observation dfb2734e-3a49-414c-bf5d-c28085e47687 · outbound

This paper cites Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein–ligand complexes.J Med Chem.

DrugGen 2: A disease-aware language model for enhancing drug discovery Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein–ligand complexes.J Med Chem

Reference 42

Resolution: verified exact; doi, observed 2026-07-10T08:06:57.744055Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.