Stockmark-Nemotron-3-Nano-Omni-JapanDocReader: Structured Document Parsing via Capability Injection and Forgetting Control

arXiv:2608.06758 · cs.CL · Submitted 2026-08-07 · Read on arXiv

Shi Chen, Hayato Aida, Makoto Morinaga, Shohei Tanaka, Kosuke Arima

cs.CL

Submitted: 2026-08-07

Updated: 2026-08-10

Code: https://github.com/NVIDIA-NeMo/Megatron-Bridge

Project page: https://stockmark.co.jp

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Trace — 25× in this paper · explained in 2 episodes
Reasoning Traces — 12× in this paper · explained in 4 episodes
Benchmark — 10× in this paper · explained in 2 episodes
Localization — 8× in this paper · explained in 2 episodes
Thinking mode — 6× in this paper · explained in 2 episodes
Fine-Tuning — 4× in this paper · explained in 5 episodes
Reinforcement Learning — 3× in this paper · explained in 4 episodes
Hyperparameters — 2× in this paper · explained in 2 episodes
Ablation — 1× in this paper · explained in 1 episode
Benchmarking — 1× in this paper · explained in 4 episodes
Core — 1× in this paper · explained in 2 episodes
Evaluation Protocol — 1× in this paper · explained in 2 episodes
KL Regularization — 1× in this paper · explained in 2 episodes
Multimodal Reasoning — 1× in this paper · explained in 5 episodes
Regularization — 1× in this paper · explained in 3 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 26 episodes
Reward Shaping — 1× in this paper · explained in 2 episodes
Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 13 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

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