Paper Citation Record · LEDGER

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2407.08940.

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

pith.paper-citation-record.v1
2407.08940 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:45:43.494512Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:17:26.433621Z

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 f006f8d8-0104-4352-9cc8-4c6b260f51c5 · inbound

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback cites this paper.

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:48:57.103263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56738a4d-0565-4d71-be5b-25fc0fb2aa31 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 154

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.962675Z

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.

Observation f64f4005-1448-4350-bc50-cfd54dc4e587 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 272

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.652437Z

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.

Observation 71f8646b-602d-4410-ada0-a4f255019208 · inbound

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions cites this paper.

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:43.494512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b541b370-5d8c-416b-90f1-46186a8ba317 · inbound

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research cites this paper.

AI-Driven Automation Can Become the Foundation of Next-Era Science of Science Research Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:00.703247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da95410f-16f9-4d7b-8ce0-522c2c0a4db1 · inbound

InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification cites this paper.

InternAgent: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:56:34.872214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f24e4c63-ab0a-4bd4-9137-58522638c6d9 · inbound

AdsQA: Towards Advertisement Video Understanding cites this paper.

AdsQA: Towards Advertisement Video Understanding Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T20:20:36.848690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00a4db6c-0118-4376-a5b4-5ade3fde3d54 · inbound

"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations cites this paper.

"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T10:49:56.362633Z

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.

Observation 398cc570-b024-4dbb-8da6-32dde01e0b89 · inbound

DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations cites this paper.

DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:17:26.435449Z

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.

Observation 356ec68d-361a-4f5e-8335-d49bb265a40d · inbound

DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations cites this paper.

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T12:08:58.490761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14eb6a0-4699-48ca-8abb-c3626feecbad · inbound

HALO: Interactive Co-abductive Reasoning in Scientific Hypothesis Generation cites this paper.

HALO: Interactive Co-abductive Reasoning in Scientific Hypothesis Generation Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-01T15:05:27.915007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57ca684-3a58-446d-b5fe-16b13d595ece · inbound

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing cites this paper.

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-30T11:26:43.492252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.