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Paper Citation Record · LEDGER

CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.05889.

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

pith.paper-citation-record.v1
2402.05889 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:13:46.622385Z

measured 0 of 1 external citation measurements

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T02:44:53.284345Z digest=sha256:2a6d02e155bb779487e8b357323720c02e24093d44f48caec65f4f8ee63f2a2a

Observation 11816b39-795f-4cc7-a42d-e0d349427809 · inbound

Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level cites this paper.

Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-12T20:13:46.622385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:13:46.622385Z digest=sha256:cb913dbada7673fd1023cb0fa79fffc5adcb65dcda92dc2c750b686383f2bfb9

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-11T01:19:59.603343Z digest=sha256:a55aee98301c1dd7530f5cb865c95af5b91e209f31429261d6ba127bd7551308

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.

source=pdf_text observed=2026-08-07T05:49:53.248569Z digest=sha256:1d22c9141deb971de2e6a5a4db7ca15e2b0905ebaf72881601da0f11b9b62e11

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.

source=pdf_text observed=2026-08-02T23:33:15.880081Z digest=sha256:f5d9b74e29c3a14e4a67e3983b7421cb644c832ae0f4ec82521536909bbf290f