Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.05889.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:53.248569Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T02:44:53.722895Z
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 ff958ced-1946-4025-8dad-cf1376b589a3 · inbound
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T02:44:53.725484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 83b34c88-b484-48a7-b99e-5ee5d4484363 · inbound
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
Reference 162
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T01:20:00.186637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cb2ada9f-3ebe-453f-974a-ce660e33b6ce · inbound
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.
MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:53.248569Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8867420-04b9-4aec-858a-b4d272628b49 · inbound
Towards Sparse Video Understanding and Reasoning cites this paper.
Towards Sparse Video Understanding and Reasoning CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T23:33:15.880081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.