Paper Citation Record · LEDGER

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.04976.

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

pith.paper-citation-record.v1
2507.04976 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:41:39.062407Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy8
unresolved17
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8dc3bbba-9988-4504-9af2-da643588d748 · outbound

This paper cites Figure 14:Prompt used for Evaluation:(a) Evaluation prompt for answerable dataset, and (b) Evaluation prompt for our unanswerable dataset.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Figure 14:Prompt used for Evaluation:(a) Evaluation prompt for answerable dataset, and (b) Evaluation prompt for our unanswerable dataset

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:40.468104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 02f5da86-7927-41f2-a283-6efff1c09946 · outbound

This paper cites an unresolved cited work.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:41:41.346617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57943758-8e5e-41ea-94d9-3e882fba7ed4 · outbound

This paper cites A.3 ETHICSSTATEMENT In our study, we utilize Large Language Models (LLM) to generate our UVQA dataset and evaluate video-LLMs, which may result in unintended outcomes.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models A.3 ETHICSSTATEMENT In our study, we utilize Large Language Models (LLM) to generate our UVQA dataset and evaluate video-LLMs, which may result in unintended outcomes

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:40.705794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 85137c54-8704-444c-bb7d-3a88e310606d · outbound

This paper cites The Llama 3 Herd of Models.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:37.255667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73f65394-be23-4b3f-a8e5-b7a101e5b96d · outbound

This paper cites UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large Models.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:37.335716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62189781-c344-4e24-b858-45b5902f6ba8 · outbound

This paper cites URL https://aclanthology.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models URL https://aclanthology

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:41.204900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00f23829-0ca4-4a92-8137-c43ac7228a64 · outbound

This paper cites Language Models Can See: Plugging Visual Controls in Text Generation.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Language Models Can See: Plugging Visual Controls in Text Generation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:38.021957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9118d1cc-2d16-46f2-b112-37ed7af3a42a · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:38.043123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0347a6c8-223a-4acd-985c-78e758eeced3 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:38.101205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0683f6b1-37ae-4a44-a710-5083f293a2a1 · outbound

This paper cites Know Your Limits: A Survey of Abstention in Large Language Models.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Know Your Limits: A Survey of Abstention in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:38.196093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8881582b-3d4b-45c7-9a09-7e66de6adf72 · outbound

This paper cites Reliable visual question answering: Abstain rather than answer incorrectly.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Reliable visual question answering: Abstain rather than answer incorrectly

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:41.101947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94a70e9d-42ba-4c91-8346-677d493d6595 · outbound

This paper cites TLCR: Token-level continuous reward for fine-grained reinforcement learning from human feedback.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models TLCR: Token-level continuous reward for fine-grained reinforcement learning from human feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:38.377164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 161abb5c-963a-480d-9f2d-f8cc0305dab7 · outbound

This paper cites doi: 10.18653/v1/2022.emnlp-main.280.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models doi: 10.18653/v1/2022.emnlp-main.280

Reference 19

Resolution: verified exact; doi, observed 2026-08-06T19:41:39.212989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6eb2d644-0901-4600-9cfb-d1dd8dfff21a · outbound

This paper cites doi: 10.18653/v1/2023.findings-emnlp.797.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models doi: 10.18653/v1/2023.findings-emnlp.797

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:38.481770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80aecfca-840e-43ab-83a4-dc31abeba65e · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 22

Resolution: malformed identifier; no resolver link, observed 2026-08-06T19:41:38.650060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6e78513-1439-4059-a12c-58f917db02c8 · outbound

This paper cites an unresolved cited work.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:41:40.862940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c83c0aad-ef3c-41b9-846e-4d605e0a9699 · outbound

This paper cites (2023); Li et al.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models (2023); Li et al

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:40.579369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 062e422e-1d8d-48b5-9331-3c8c8a40b6d8 · outbound

This paper cites an unresolved cited work.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:41:40.309993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b3a4891-e017-4a31-ac0b-74358f2b3dec · outbound

This paper cites If the question cannot be answered using the video content, state that it is unanswerable and provide a reason.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models If the question cannot be answered using the video content, state that it is unanswerable and provide a reason

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:40.088734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5262a23-4d2f-48bc-a386-d802029116e7 · outbound

This paper cites 5All annotators have TOEFL iBT scores above 100 and hold at least a bachelor’s degree.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models 5All annotators have TOEFL iBT scores above 100 and hold at least a bachelor’s degree

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:39.948586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df799896-7081-41b3-a7e3-1a1f51c2dac9 · outbound

This paper cites Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David A

Reference 2008

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T19:41:39.608405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d3a0d12-eb22-46e0-990d-cc9176b83382 · outbound

This paper cites Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, and Lidong Bing.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Sicong Leng, Hang Zhang, Guanzheng Chen, Xin Li, Shijian Lu, Chunyan Miao, and Lidong Bing

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:37.666437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75009a38-1cf7-40b2-9eeb-61476426c4a0 · outbound

This paper cites Alignment for Honesty.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Alignment for Honesty

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:38.287739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29e42f01-c0a9-4a27-b57b-40a538265d7d · outbound

This paper cites Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

Reference 2018

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T19:41:39.743993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e4ea3966-e96b-4e0e-93ab-c2b5f76afa5a · outbound

This paper cites Video-LLaMA: An instruction-tuned audio-visual language model for video understanding.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models Video-LLaMA: An instruction-tuned audio-visual language model for video understanding

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:41:40.964592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6d9a7dca-3d00-45b4-b331-d8a61213e178 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:37.146585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0087c442-8ec5-4d59-879e-a0b2f32f4ba8 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:37.813687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08062c73-ad7b-42cc-8184-5b9fbc832a40 · outbound

This paper cites doi: 10.18653/v1/2023.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models doi: 10.18653/v1/2023

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:37.497820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9242563d-580b-4c2c-9616-b4cf89155b5e · outbound

This paper cites PaLM 2 Technical Report.

Can Video LLMs Refuse to Answer? Alignment for Answerability in Video Large Language Models PaLM 2 Technical Report

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:41:37.015458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.