aiBACKGROUND
Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive R
BACKGROUND
2 SIGNALSFIRST DETECTED 3 September 2026
Narrative synthesis pending — 2 signals collected.
How the story developed
29 Sept
Residual Streams Read, Recurrent States Remember: The Global Workspace in Mamba Models
REPORT · WHAT · ArXiv CS.AI
3 Sept
Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive Recurrence?
REPORT · WHAT · ArXiv CS.AI
Other feeds and industry voices
14 Jul
Looped State-Space Language Models with Adaptive Exit-State Selection
arXiv:2607.10110v1 Announce Type: new Abstract: Recent work on looped language models suggests that many reasoning problems benefit from greater computational depth rather than
REPORT · WHAT · ArXiv CS.AIOPEN STORY
7 Aug
The Ignition Index: Measuring Global Workspace Dynamics in Language Models
arXiv:2608.05160v1 Announce Type: new Abstract: We introduce the Ignition Index (I), a validated scalar metric that operationalizes Global Workspace Theory's (GWT) all-or-none
REPORT · WHAT · ArXiv CS.AIOPEN STORY
17 Aug
A Calibrated Test of Internal Action Maps: State Signals Without Global Affine Closure
arXiv:2608.13626v1 Announce Type: new Abstract: A hidden state signal can be decodable or causally usable without supporting a reusable action map. We test whether action maps
REPORT · WHAT · ArXiv CS.AIOPEN STORY
Sources
ArXiv CS.AI×2
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