Lyra 2.0 produces persistent 3D-consistent video sequences for large explorable worlds by using per-frame geometry for information routing and self-augmented training to correct temporal drift.
LongLLMLingua: Extending LLMs’ context windows without tuning,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
years
2026 2roles
background 1polarities
background 1representative citing papers
A context-access layer for repair agents cuts token use ~39–52% on SWE-bench Lite without a clear drop in submitted resolution rates.
citing papers explorer
-
Lyra 2.0: Explorable Generative 3D Worlds
Lyra 2.0 produces persistent 3D-consistent video sequences for large explorable worlds by using per-frame geometry for information routing and self-augmented training to correct temporal drift.
-
ContextSniper: AntTrail's Token-Efficient Code Memory for Repository-Level Program Repair
A context-access layer for repair agents cuts token use ~39–52% on SWE-bench Lite without a clear drop in submitted resolution rates.