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Paper Citation Record · LEDGER

Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.04481.

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

pith.paper-citation-record.v1
2409.04481 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:39:23.281277Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

14
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 26c8900b-1bc8-412f-b0e1-71e0c7b4936e · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T21:54:44.167106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:54:44.167106Z digest=sha256:cf373d1e147d92fe4dc720a21ed77dc9fa60286385af4a65a6c36759d65e8393

Observation 232f58c9-8447-44ce-bc37-dab93ede2beb · inbound

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

Can Hallucinations Help? Boosting LLMs for Drug Discovery Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T15:39:26.483308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:39:26.483308Z digest=sha256:d66f04d3fa245ff43e0907911d0eaacb093626d81e77158d19dab9ee8b4598f5

Observation 3b620a83-51e4-4d8d-803f-a1d6cdb03da4 · inbound

Tokenized Bandit for LLM Decoding and Alignment cites this paper.

Tokenized Bandit for LLM Decoding and Alignment Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 227

Resolution
unresolved
no resolver link, observed 2026-08-07T05:46:21.222999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:46:21.222999Z digest=sha256:877d05de6081abd23e48fd003f10fc807c9d16dade0db47e920be3d163639fee

Observation 2821061f-8bbb-4581-a6a9-dfda70e7a51e · 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 Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T18:47:24.102376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:47:24.102376Z digest=sha256:ed7f74da5cfccb14063240a77c5b3b759cc31ba49b0dcd30791b34297eeae6f5

Observation 38eec6af-74ef-45dc-8800-b08f34b860ca · inbound

$\text{M}^{2}$LLM: Multi-view Molecular Representation Learning with Large Language Models cites this paper.

$\text{M}^{2}$LLM: Multi-view Molecular Representation Learning with Large Language Models Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T17:39:23.281277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:39:23.281277Z digest=sha256:3ffa0e0547e1b014d55013696077e004961a7dc5890a8cd15f5eb8062a5c6102

Observation 9ee81631-042f-4d56-a966-786537817135 · inbound

CrystalICL: Enabling In-Context Learning for Crystal Generation cites this paper.

CrystalICL: Enabling In-Context Learning for Crystal Generation Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T15:41:53.122205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:41:53.122205Z digest=sha256:332059093477f93e94f8729e751e54f400bed6c7f516a2b123781bb854547568

Observation 82e7377e-f4fc-4e41-8094-16c96a5c7086 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 148

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:41:38.110477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:4ef6f35983186a5b073a6351a2c9e230e5596d7ab3e95d4e4b21a8d4311c6aa4

Observation 17eb67ee-fcf4-487d-970f-a8674336bf0b · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 149

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:41:37.710111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:65058ede6a84a2be5374b0daa5e46b990c2d9c8c7f139c02e8e927325b43442e

Observation d94d685b-9c3f-4cf8-910f-8ed1a44cafd8 · inbound

LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design cites this paper.

LipoAgent: Coordinating Fine-Tuned LLM Agents for Safer Lipid Design Large Language Models in Drug Discovery and Development: From Disease Mechanisms to Clinical Trials

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T00:24:04.122769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T00:23:37.241862Z digest=sha256:ceb641aeae1aad454d0f0b1ff911aa6eae3573d06c7053b7dc86805cceb0be30