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Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:54:44.167106Z

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=sha256:105f2d7d07f616f3143abadf9eb0e55d74d43373d6e08fb4bb056744222e34b0

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=sha256:60f2e5049ec7e13d2a480f08692bdbef1601e048667bacd47782022bdc2e9fcb

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=sha256:79ce2b865ffc03db2ea1a30058a0679f8e8ce081f23924bae965cc01b1de4a3d

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=sha256:303ecaf5299944dbac971cdbc30a87d7090db44018ec74d292bb94458d9eeca7

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:a12cacf7d39078622aa363b2a7cd909e4913f160c663cb48848065a80b4c1b87

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:fbb51b7949a09ac8e2a204bd8f57979771cc2bc2941d177586ef5457699cde3a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T16:39:03.794436Z digest=sha256:7d74d529517e12ae07e38b88d9db26aeea36517110ded05272f3d043f356f913

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T00:23:37.241862Z digest=sha256:d7d92bc7f435ed6cc2f675238379d7b3d5162f714c2e65b6abe091f7c5f45443