uidelines:
•
The answer NA means that the paper does not release new assets.
•
Researchers should communicate the details of the dataset/code/model as part of their submissions via structured templates. This includes details about training, license, limitations, etc.
•
The paper should discuss whether and how consent was obtained from people whose asset is used.
•
At submission time, remember to anonymize your assets (if applicable). You can either create an anonymized URL or include an anonymized zip file.
14.
Crowdsourcing and research with human subjects
Question: For crowdsourcing experiments and research with human subjects, does the paper include the full text of instructions given to participants and screenshots, if applicable, as well as details about compensation (if any)?
Answer: [N/A]
Justification: There is no crowd sourcing experiments.
Guidelines:
•
The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.
•
Including this information in the supplemental material is fine, but if the main contribution of the paper involves human subjects, then as much detail as possible should be included in the main paper.
•
According to the NeurIPS Code of Ethics, workers involved in data collection, curation, or other labor should be paid at least the minimum wage in the country of the data collector.
15.
Institutional review board (IRB) approvals or equivalent for research with human subjects
Question: Does the paper describe potential risks incurred by study participants, whether such risks were disclosed to the subjects, and whether Institutional Review Board (IRB) approvals (or an equivalent approval/review based on the requirements of your country or institution) were obtained?
Answer: [Yes]
Justification: This paper does not involve any potential risks. For human evaluation of the dataset, we obtained IRB approvals.
Guidelines:
•
The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.
•
Depending on the country in which research is conducted, IRB approval (or equivalent) may be required for any human subjects research. If you obtained IRB approval, you should clearly state this in the paper.
•
We recognize that the procedures for this may vary significantly between institutions and locations, and we expect authors to adhere to the NeurIPS Code of Ethics and the guidelines for their institution.
•
For initial submissions, do not include any information that would break anonymity (if applicable), such as the institution conducting the review.
16.
Declaration of LLM usage
Question: Does the paper describe the usage of LLMs if it is an important, original, or non-standard component of the core methods in this research? Note that if the LLM is used only for writing, editing, or formatting purposes and does not impact the core methodology, scientific rigorousness, or originality of the research, declaration is not required.
Answer: [Yes]
Justification: The use of LLMs is a central component of our methodology. LLMs are involved in every step of our question generation pipeline. We explicitly describe the role of LLMs in Section 3.
Guidelines:
•
The answer NA means that the core method development in this research does not involve LLMs as any important, original, or non-standard components.
•
Please refer to our LLM policy (https://neurips.cc/Conferences/2025/LLM) for what should or should not be described.
Appendix A Dataset Statistics
Figure 6: (a) Distribution of movie themes in Causal2Needles. (b) Distribution of distance between cause and effect in Causal2Needles
The videos in Causal2Needles are collected from the SyMoN (Sun et al., 2022) and YMS (Dogan et al., 2018) datasets, comprising movie recap videos and their corresponding narrations (98 movies from SyMoN and 94 from YMS). After integration, the videos in Causal2Needles have an average duration of 438 seconds, with 58.6 clips and 1,267.2 words per movie. The movie themes in our data