Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.13903.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:12.642547Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T15:21:00.904134Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 4707c3c2-93dc-4bb6-a532-5c211b47e5bb · inbound
A Survey on Multimodal Large Language Models Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 189
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d0be8ea1-5ec6-4bec-ae78-8ae0d3253522 · inbound
A Survey of Hallucination in Large Foundation Models Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 122
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 79a123f6-797f-4f54-b36c-169131b6fa1f · inbound
How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 106
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50db3c55-43ab-4b53-9751-01d086eeaff0 · inbound
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 264
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 219f3a82-976a-4de4-a9b6-24ae8631d8be · inbound
CoS: Chain-of-Shot Prompting for Long Video Understanding Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6feb924b-87b2-4017-bae1-b50e6550acd2 · inbound
Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 110
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 30d727d1-c598-4f0e-ae92-b97bf628058b · inbound
Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 160
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34ee85ce-7b5b-4e31-ad35-2200692b9b20 · inbound
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b440622a-30ba-44b6-94be-850c0c53cbba · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought
Reference 154
Source-reported events for the cited work
Unavailable: canonical work link unavailable.