Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.12387.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T09:04:23.965554Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:09:45.386126Z
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 6b7d89b6-f32c-4a5d-a4cc-bf10d1d785b8 · inbound
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reference 89
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T20:58:59.171594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e93eb41e-81e8-443e-a612-465ee0902820 · 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 Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T02:44:53.616921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f429b08d-65b1-41f1-9c39-98f38a7d72e6 · inbound
Long Context Transfer from Language to Vision cites this paper.
Long Context Transfer from Language to Vision Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reference 57
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T07:08:36.171513Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b9e54a3-21fd-4971-8b71-00a3a6b2bfea · inbound
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reference 175
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:20:36.412811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation c5ae3c7c-3872-4190-835f-b79be9d1e161 · inbound
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs cites this paper.
WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T05:53:26.140705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e28eb4f0-7cfa-45e4-880c-b2695d6e4ce8 · inbound
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking cites this paper.
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T20:50:17.299732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9459c624-962d-4ac2-9a33-916af85596d5 · inbound
Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation cites this paper.
Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T10:09:45.387734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.