Paper Citation Record · LEDGER

VidCtx: Context-aware Video Question Answering with Image Models

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2412.17415.

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

pith.paper-citation-record.v1
2412.17415 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:29:51.391770Z

measured 31 of 31 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:52:44.785582Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:46:56.808179Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy16
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36b59a45-b65a-4919-a5fd-3d4d50acf58b · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

VidCtx: Context-aware Video Question Answering with Image Models Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.251138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0b15ddd-9712-425a-8d9b-836f8593e592 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

VidCtx: Context-aware Video Question Answering with Image Models Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.256797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d862ea53-59ad-4fec-a7e4-5741daf06e7c · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

VidCtx: Context-aware Video Question Answering with Image Models Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.261821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976db303-747f-4c80-bb8d-17d02eaadee7 · outbound

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

VidCtx: Context-aware Video Question Answering with Image Models LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.267504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cec20e0-c2b2-46ca-926a-2cd54c61a4e0 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding bench- mark,.

VidCtx: Context-aware Video Question Answering with Image Models Mvbench: A comprehensive multi-modal video understanding bench- mark,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.860581Z

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 34d2f7df-a516-4953-bf2c-2d7e264b4e14 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

VidCtx: Context-aware Video Question Answering with Image Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.276954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5ca850-f005-485f-bcec-d2d08ccae1fd · outbound

This paper cites InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.

VidCtx: Context-aware Video Question Answering with Image Models InternVideo2: Scaling Foundation Models for Multimodal Video Understanding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.282682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b73ffffa-6723-4754-8183-1b97d3d9654e · outbound

This paper cites Self- chained image-language model for video localization and question answering,.

VidCtx: Context-aware Video Question Answering with Image Models Self- chained image-language model for video localization and question answering,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.846020Z

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 e782af15-4a88-435d-b6b3-b7598ae1a837 · outbound

This paper cites VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos.

VidCtx: Context-aware Video Question Answering with Image Models VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.291907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a4f946-5951-4242-9af4-05643838b515 · outbound

This paper cites Videoagent: Long-form video understanding with large language model as agent,.

VidCtx: Context-aware Video Question Answering with Image Models Videoagent: Long-form video understanding with large language model as agent,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.832421Z

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 779c2b7a-300b-454d-b289-4758696ef7eb · outbound

This paper cites A Simple LLM Framework for Long-Range Video Question-Answering.

VidCtx: Context-aware Video Question Answering with Image Models A Simple LLM Framework for Long-Range Video Question-Answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.302286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb9a8cb9-4666-4f03-af54-b49098b2ee9b · outbound

This paper cites Language Repository for Long Video Understanding.

VidCtx: Context-aware Video Question Answering with Image Models Language Repository for Long Video Understanding

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.307324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf1d424-5f21-4a3c-8b3d-d98dfa29eb43 · outbound

This paper cites Question-instructed visual de- scriptions for zero-shot video answering,.

VidCtx: Context-aware Video Question Answering with Image Models Question-instructed visual de- scriptions for zero-shot video answering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.816975Z

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 84ac54d0-55df-4757-a43e-2305ddb96686 · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

VidCtx: Context-aware Video Question Answering with Image Models Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.317436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6736c950-611b-4dab-ad9e-ced58d2443c2 · outbound

This paper cites Large language models can be easily distracted by irrelevant context,.

VidCtx: Context-aware Video Question Answering with Image Models Large language models can be easily distracted by irrelevant context,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.802738Z

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 db2d6455-f26a-4ea6-bc2a-23a4cd9236ee · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering,.

VidCtx: Context-aware Video Question Answering with Image Models Learn to explain: Multimodal reasoning via thought chains for science question answering,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.787037Z

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 5e862572-2f5e-4d59-b473-7d4514489060 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

VidCtx: Context-aware Video Question Answering with Image Models Multimodal Chain-of-Thought Reasoning in Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.331502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1290a7d-a931-433b-a740-3d6bc81295ca · outbound

This paper cites Ddcot: Duty-distinct chain-of-thought prompting for multimodal rea- soning in language models,.

VidCtx: Context-aware Video Question Answering with Image Models Ddcot: Duty-distinct chain-of-thought prompting for multimodal rea- soning in language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.771872Z

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 c3947363-3c7c-4dd3-b60e-3dc3edf60c6b · outbound

This paper cites Enhancing multimodal sentiment analysis via learning from large language model,.

VidCtx: Context-aware Video Question Answering with Image Models Enhancing multimodal sentiment analysis via learning from large language model,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.756953Z

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 bd9a91da-8403-4e3e-90cb-d3d9c73af29a · outbound

This paper cites Video-of-thought: Step-by-step video reasoning from perception to cognition,.

VidCtx: Context-aware Video Question Answering with Image Models Video-of-thought: Step-by-step video reasoning from perception to cognition,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.742345Z

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 3e5aa05f-549f-4f40-9081-d470ee0498b7 · outbound

This paper cites Vamos: Versatile Action Models for Video Understanding.

VidCtx: Context-aware Video Question Answering with Image Models Vamos: Versatile Action Models for Video Understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.350899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81f5fac8-7b5a-489e-bab4-c6a35ee3a06c · outbound

This paper cites Large language models are zero-shot reasoners,.

VidCtx: Context-aware Video Question Answering with Image Models Large language models are zero-shot reasoners,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.727217Z

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 7e21f624-5f9d-4657-9b4b-40809b13690e · outbound

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

VidCtx: Context-aware Video Question Answering with Image Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.710596Z

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 09818ffb-dafd-4aeb-a383-1fd0d3bc1f0d · outbound

This paper cites Compositional chain-of-thought prompting for large multimodal mod- els,.

VidCtx: Context-aware Video Question Answering with Image Models Compositional chain-of-thought prompting for large multimodal mod- els,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.691893Z

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 fa23c586-feed-418c-91dd-c826e7f0678e · outbound

This paper cites Next-qa: Next phase of question-answering to explaining temporal actions,.

VidCtx: Context-aware Video Question Answering with Image Models Next-qa: Next phase of question-answering to explaining temporal actions,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.676088Z

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 ed5e1194-f9b4-4603-a465-a88004e6276a · outbound

This paper cites Intentqa: Context- aware video intent reasoning,.

VidCtx: Context-aware Video Question Answering with Image Models Intentqa: Context- aware video intent reasoning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.660083Z

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 1dc03d09-aa3f-4fc7-b7d6-a78b825ce3d0 · outbound

This paper cites STAR: A Benchmark for Situated Reasoning in Real-World Videos.

VidCtx: Context-aware Video Question Answering with Image Models STAR: A Benchmark for Situated Reasoning in Real-World Videos

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.378423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29a74aa0-e440-4351-acaa-3a00735895d7 · outbound

This paper cites Verbs in action: Improving verb understanding in video-language models,.

VidCtx: Context-aware Video Question Answering with Image Models Verbs in action: Improving verb understanding in video-language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.644900Z

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 527a5034-1726-4fac-984e-db07468774e6 · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

VidCtx: Context-aware Video Question Answering with Image Models InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:29:51.387257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 199033f3-a787-4436-aa41-9da7e36fc172 · outbound

This paper cites Llava-next: Improved reasoning, ocr, and world knowledge,.

VidCtx: Context-aware Video Question Answering with Image Models Llava-next: Improved reasoning, ocr, and world knowledge,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:29:51.628488Z

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.

Pith citing papers

Observation 4dccfb87-3f24-4aae-bd55-8b45679640d5 · inbound

VTI-CoT: Visual-Textual Interleaved Chain of Thought for Video Reasoning cites this paper.

VTI-CoT: Visual-Textual Interleaved Chain of Thought for Video Reasoning VidCtx: Context-aware Video Question Answering with Image Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:56.809467Z

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.