Paper Citation Record · LEDGER

LLM Agent Swarm for Hypothesis-Driven Drug Discovery

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.17967.

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

pith.paper-citation-record.v1
2504.17967 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:31.785572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:15:58.010938Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d7a78607-a19b-4ebd-92a6-560568381ff3 · inbound

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents cites this paper.

Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents LLM Agent Swarm for Hypothesis-Driven Drug Discovery

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:31.785572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13f47a96-b060-458e-b94d-a61306010d09 · inbound

Roadmap for using large language models (LLMs) to accelerate cross-disciplinary research with an example from computational biology cites this paper.

Roadmap for using large language models (LLMs) to accelerate cross-disciplinary research with an example from computational biology LLM Agent Swarm for Hypothesis-Driven Drug Discovery

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:07:59.730862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94599eb4-df69-4728-a07b-88ecfd5f3805 · 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 LLM Agent Swarm for Hypothesis-Driven Drug Discovery

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:47:24.009118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 586aad15-3f80-496a-a494-321ffb908313 · inbound

Agentic Inequality cites this paper.

Agentic Inequality LLM Agent Swarm for Hypothesis-Driven Drug Discovery

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:15:58.013767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.