Paper Citation Record · LEDGER

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 2 inbound Pith citation observations for arXiv:2505.14599.

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

pith.paper-citation-record.v1
2505.14599 v2

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:35:44.323361Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:33:46.563630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:28:44.597412Z

Reference resolution

61 of 61 outbound references displayed

verified exact6
verified fuzzy28
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5197324c-4360-41e6-9a7a-06d6e70faee5 · outbound

This paper cites Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:44.781859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 98fee1f0-be9b-47d0-b0d5-203e00306dc6 · outbound

This paper cites GPT-4 Technical Report.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.102339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75a0f51-d44e-4073-9724-2b0c754c90ad · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.106103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b968f917-a696-46f1-ae1f-d11dcaa7c6e1 · outbound

This paper cites Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Harnessing the Power of Adversarial Prompting and Large Language Models for Robust Hypothesis Generation in Astronomy

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.109864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bc12ea-1b9a-4e55-b724-de1c9e31d1d0 · outbound

This paper cites MARG: Multi-Agent Review Generation for Scientific Papers.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models MARG: Multi-Agent Review Generation for Scientific Papers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.114139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6b4a4ee-51b0-425e-bbdc-a078bd72cb90 · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Towards A Rigorous Science of Interpretable Machine Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.117891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 821683c7-0cae-4cae-aff7-03eae1b46040 · outbound

This paper cites The Llama 3 Herd of Models.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models The Llama 3 Herd of Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.122791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 052e5752-5177-406d-9e1e-279669a86186 · outbound

This paper cites On the creativity of large language models.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models On the creativity of large language models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.167874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2c560203-9948-4f9e-be1c-1a8d1fd1837c · outbound

This paper cites Forecasting high-impact research topics via machine learning on evolving knowledge graphs.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Forecasting high-impact research topics via machine learning on evolving knowledge graphs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.130125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 078e0045-d96a-4f5b-ba3d-4d2ab23a8e3b · outbound

This paper cites Embracing foundation models for advancing scientific discovery.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Embracing foundation models for advancing scientific discovery

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.155434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce3f7d09-122c-4d91-8f0b-3a17a80fa916 · outbound

This paper cites Williams, Stefan Bekiranov, and Aidong Zhang.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Williams, Stefan Bekiranov, and Aidong Zhang

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.141899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e72d0f18-290b-4063-9601-5531f8ea2455 · outbound

This paper cites Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.141222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c8de35-1753-4ea2-b776-27d4d7a51810 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.145049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3e372c-3071-4cf0-904a-7b26a0249b90 · outbound

This paper cites Autonomous llm-driven research—from data to human-verifiable research papers.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Autonomous llm-driven research—from data to human-verifiable research papers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.129310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a6072e4-059b-4e8d-b8f1-60a953be7027 · outbound

This paper cites A survey on knowledge graphs: Representation, acquisition, and applications.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models A survey on knowledge graphs: Representation, acquisition, and applications

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.116440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcc46d8b-f53b-4709-a0b4-9691795dea8b · outbound

This paper cites Entry-level guide to the use of large language models for medical research.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Entry-level guide to the use of large language models for medical research

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:44.642806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 503862d8-5a8a-48d2-b160-cc04042c0288 · outbound

This paper cites Large language models versus natural language understanding and generation.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Large language models versus natural language understanding and generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.103276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 145eb18e-99cd-41ff-9318-6d895e73f6bc · outbound

This paper cites Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.089819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3b121a38-41eb-4888-8e39-c167c0f2ccec · outbound

This paper cites MyCrunchGPT: A chatGPT assisted framework for scientific machine learning.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models MyCrunchGPT: A chatGPT assisted framework for scientific machine learning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:44.624537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a58a1df5-fa8b-4564-81cc-b1a410462f83 · outbound

This paper cites PaperQA: Retrieval-Augmented Generative Agent for Scientific Research.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.171915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74ed565-c5e3-4cc6-b800-1924174ea04b · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.176053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5522196-0f18-4a30-afeb-0cd1dd39e4bf · outbound

This paper cites Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.179758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65eece7d-9619-4b6d-b092-ef1cbcf8df27 · outbound

This paper cites Learning entity and relation embeddings for knowledge graph completion.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Learning entity and relation embeddings for knowledge graph completion

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.067795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a34e5c1d-b18a-41b8-bbb1-7aff8bfd6039 · outbound

This paper cites A Survey on Graph Classification and Link Prediction based on GNN.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models A Survey on Graph Classification and Link Prediction based on GNN

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.187587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b550870d-7087-4183-90c4-a14ffc558b16 · outbound

This paper cites Conversational drug editing using retrieval and domain feedback.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Conversational drug editing using retrieval and domain feedback

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.054613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b949a6cd-c77f-416c-96e9-f17a3fcd3dbe · outbound

This paper cites Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011--2022).

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011--2022)

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.041748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22fa719a-227b-4dfd-9a5a-2c7acaaf6b93 · outbound

This paper cites Improving biomedical information retrieval with neural retrievers.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Improving biomedical information retrieval with neural retrievers

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.029617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 818de6a1-ae14-483f-bbc2-8d6a5fbedddc · outbound

This paper cites Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Bran, Sam Cox, Oliver Schilter, Carlo Baldassari, Andrew D White, and Philippe Schwaller

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.017323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 380e70f7-1d1a-4986-974f-11593da7ecb7 · outbound

This paper cites Think-on-graph 2.0: Deep and interpretable large language model reasoning with knowledge graph-guided retrieval.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Think-on-graph 2.0: Deep and interpretable large language model reasoning with knowledge graph-guided retrieval

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:45.005412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d03f8af5-cd5b-43c4-b2cd-eed17ec8cbd8 · outbound

This paper cites Explainable ai is dead, long live explainable ai! hypothesis-driven decision support using evaluative ai.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Explainable ai is dead, long live explainable ai! hypothesis-driven decision support using evaluative ai

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.993238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64981239-ccbe-4341-b08d-2e7cd7eb267c · outbound

This paper cites Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:44.566829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 834501c2-8c27-4588-ac62-e064f7f20e9a · outbound

This paper cites A review of relational machine learning for knowledge graphs.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models A review of relational machine learning for knowledge graphs

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.981066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 57c4f35d-7d46-41a5-9edf-ae47dc2b0b8c · outbound

This paper cites Can chatgpt be used to generate scientific hypotheses? Journal of Materiomics , 10(3):578--584, 2024.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Can chatgpt be used to generate scientific hypotheses? Journal of Materiomics , 10(3):578--584, 2024

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.967649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 060dc8bf-12ba-44c0-b17a-46f5cf51c4b6 · outbound

This paper cites Graph Retrieval-Augmented Generation: A Survey.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Graph Retrieval-Augmented Generation: A Survey

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.223554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78f50942-e345-4819-8346-23cc13c1cc7c · outbound

This paper cites Large Language Models are Zero Shot Hypothesis Proposers.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Large Language Models are Zero Shot Hypothesis Proposers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.227331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81fd97d5-92ed-4bec-94cb-3c4fae8e3f0f · outbound

This paper cites Large language models as biomedical hypothesis generators: A comprehensive evaluation.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Large language models as biomedical hypothesis generators: A comprehensive evaluation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.953922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1534be72-5362-4fda-be8a-38b4207115f9 · outbound

This paper cites Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Human-LLM Compound System for Scientific Ideation through Facet Recombination and Novelty Evaluation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.234504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33beb8a4-b280-4b9e-8697-6ddda6f0e9d1 · outbound

This paper cites A review on large language models: Architectures, applications, taxonomies, open issues and challenges.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models A review on large language models: Architectures, applications, taxonomies, open issues and challenges

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.941574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a61408ac-1252-401d-9686-7f6bad901554 · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models The probabilistic relevance framework: Bm25 and beyond

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.928045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e67400fa-6fdd-4b6c-929c-c5fbb44557c1 · outbound

This paper cites Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Knowledge Graph Large Language Model (KG-LLM) for Link Prediction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.244864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f52cadca-fd1e-43a3-9402-851ebec90d94 · outbound

This paper cites Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.248638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9295f60-5ccf-4673-a227-772be0e047a6 · outbound

This paper cites Colidr: Concept learning using aggregated disentangled representations.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Colidr: Concept learning using aggregated disentangled representations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.915303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fa061371-de2f-413d-83fa-dfa00be4ecdd · outbound

This paper cites A self-explaining neural architecture for generalizable concept learning.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models A self-explaining neural architecture for generalizable concept learning

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.902142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8496503-a5ca-408d-b310-6e7bcb19d0a2 · outbound

This paper cites Language agents achieve superhuman synthesis of scientific knowledge.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Language agents achieve superhuman synthesis of scientific knowledge

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.259538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7663d7d0-ddcd-4e91-921a-6d0bdf53a7c0 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.263315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 557ce5cc-e533-4404-af30-2349996f2b3f · outbound

This paper cites SciMON: Scientific Inspiration Machines Optimized for Novelty.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models SciMON: Scientific Inspiration Machines Optimized for Novelty

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.267051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d3f3c92-ffb8-4b40-9e99-966639debedd · outbound

This paper cites Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.271010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8168298-e13f-4af9-ba2a-01d69ba1dee6 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.274755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2646951-98f5-4df8-be59-cc0c32d6d9c2 · outbound

This paper cites Pubtator 3.0: an ai-powered literature resource for unlocking biomedical knowledge.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Pubtator 3.0: an ai-powered literature resource for unlocking biomedical knowledge

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.881358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3910ec8a-be06-49eb-bad5-4df7c989861e · outbound

This paper cites Generating Scientific Claims for Zero-Shot Scientific Fact Checking.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Generating Scientific Claims for Zero-Shot Scientific Fact Checking

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:44.425129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df39b9bf-4bd9-433d-b2d7-714b21ad6694 · outbound

This paper cites Dynamic link prediction using graph representation learning with enhanced structure and temporal information.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Dynamic link prediction using graph representation learning with enhanced structure and temporal information

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.868411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5cc55a5d-4f8e-41f6-9ed5-a8f1c8cf6990 · outbound

This paper cites Benchmarking retrieval-augmented generation for medicine.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Benchmarking retrieval-augmented generation for medicine

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.854624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09e65ccd-a000-4e53-82a3-0cf2a16c0f9f · outbound

This paper cites Improving retrieval-augmented generation in medicine with iterative follow-up questions.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Improving retrieval-augmented generation in medicine with iterative follow-up questions

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.841311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4567ab4b-5647-475f-9c88-b6b85dbfc96c · outbound

This paper cites Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.296888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac650f2b-899c-4d49-a0ba-9dcbdf241ec6 · outbound

This paper cites Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.300728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b892c00a-f5e6-4014-a4af-1942b5aa8c31 · outbound

This paper cites Large language models for rediscovering unseen chemistry scientific hypotheses.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Large language models for rediscovering unseen chemistry scientific hypotheses

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.828609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c8c4d3e3-d8df-46f4-8bd0-0db061e0ce4c · outbound

This paper cites Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:35:44.379404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55e1809b-e6eb-4843-b4e9-b048cf3c4d79 · outbound

This paper cites Link prediction based on graph neural networks.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Link prediction based on graph neural networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.816240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 342c9668-7aaf-4f82-8ce1-61aa02e612b4 · outbound

This paper cites Goal driven discovery of distributional differences via language descriptions.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Goal driven discovery of distributional differences via language descriptions

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:35:44.803688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dcecd143-52f7-4e3a-8f13-682e8c310db2 · outbound

This paper cites Hypothesis Generation with Large Language Models.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models Hypothesis Generation with Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.319549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92ce117e-cd9d-49aa-9c94-6730d710cb2e · outbound

This paper cites write newline.

Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models write newline

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:44.323361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 6b7b2aa5-0e2d-4124-8482-8d7427b61194 · inbound

Interestingness First Classifiers cites this paper.

Interestingness First Classifiers Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T15:33:46.563630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44bf4178-6d59-45d0-879b-bc8a3ba14c66 · inbound

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation cites this paper.

BALTO: Balanced Token-Level Policy Optimization for Hallucination Mitigation Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:28:44.598968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.