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Paper Citation Record · LEDGER

Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:56:34.872214Z

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 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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:2f1f3fb2c78aa6ac339fab46b77d01cbd8aab57871e5ebbeeeebc91224219926

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:40241c7d18cf5e5147dace71391d0a597e196089ec2f87bcedc81c26ae7eace9

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.

source=arxiv_source observed=2026-08-07T14:56:34.872214Z digest=sha256:b27b10c9cf9d6dd9c9b29d9d29f379e92d5c22aa817b182f9d5662e08cfc6eb3

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.

source=pdf_text observed=2026-08-04T20:20:36.848690Z digest=sha256:a9043f16677e444b95f26c019a131870e07789c6aa8e561847e9699dcc233b6e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T10:46:19.917627Z digest=sha256:0be80076f49315442bb6c50874169517237b596e2f286cc65e414ea4291f1785

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T19:00:15.920341Z digest=sha256:6e166b23143dfae32d8667bf29984265090eebc62be27456ea07cae9db9d89c2

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.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:08:58.490761Z digest=sha256:e32732c37e03b8561490f1edb3335db03fe8534eabc24d836ccee978a5cb2614

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.

source=pdf_text observed=2026-08-01T15:05:27.915007Z digest=sha256:a33b4cbb4d9c3964eb93313649b929f2f56fedd39c2ade5f0280a255247eacdb

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.

source=pdf_text observed=2026-07-30T11:26:43.492252Z digest=sha256:2087903ef6614ba13adb7bc22e9b7cdeed5f2336fc57bbed0a966adb9fae570e