Knowledge Graph
Silytics Knowledge Graph
See how models, datasets, papers and organizations connect. Every link comes from public metadata: papers named on a model card, datasets and base models named in its tags, and the organization that published it. Click any dot to re-center; the smaller outer ring is two steps away.
ProcVLM: Learning Procedure-Grounded Progress Rewards for Robotic Manipulation
Open entry pageModelDatasetPaperRepository
Connections
- ce-amtic/ProcCorpus-60M Datasetcited by
- ce-amtic/ProcVQA-20M-annotations Datasetcited by
- ce-amtic/ProcVLM-2B Modelcited by
- Qwen/Qwen3-VL-2B-Instruct Modeltwo steps away
- mradermacher/ProcVLM-2B-FP32-GGUF Modeltwo steps away
Relationships are extracted automatically from public metadata and may be incomplete or wrong. Absence of a link does not mean absence of a relationship. Intelligence · Compare models