Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From Image to Video, what do we need in multimodal LLMs?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.11865.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:59:16.278173Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T10:46:28.841591Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 37346644-d986-4f15-b3e8-8b16ae9b83ad · inbound
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output From Image to Video, what do we need in multimodal LLMs?
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T10:46:28.844476Z
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 8faf21c6-a3bf-4ade-a893-cd6fe75dedf0 · inbound
Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding cites this paper.
Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding From Image to Video, what do we need in multimodal LLMs?
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:59:16.278173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e91e360f-fa3d-4e3a-9f10-46365cf7bf7a · inbound
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey From Image to Video, what do we need in multimodal LLMs?
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:30:57.210561Z
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 7dd0a2ad-7068-4bb3-a3dc-a6079849cc68 · inbound
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey cites this paper.
Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey From Image to Video, what do we need in multimodal LLMs?
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T22:04:31.302192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b6213fe-f6f5-45d9-b980-2e18b71f873f · inbound
One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding cites this paper.
One Token per Highly Selective Frame: Towards Extreme Compression for Long Video Understanding From Image to Video, what do we need in multimodal LLMs?
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:30:26.543737Z
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.