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ChronoSSM: Training for Temporally Aware Representations in Autoregressive State Space Models
ChronoSSM is a new autoregressive State Space Model that jointly trains on both event tokens and timestamps to improve temporal reasoning in sequence modeling, addressing a gap where timing is typically treated as secondary to event prediction.
Aug 12, 2026
High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
A new research paper introduces a k-order relaxation of the faithfulness assumption to improve Markov blanket discovery in graphical models, addressing known failure modes from higher-order dependencies and finite-sample artifacts.
Jul 30, 2026
CGT is the overall framework of input analysis that allows for a separation from immediate task execution. id like to hear your thoughts on the overall concept. Criticism is fine but at least word it as a counter to a statement and not arbitrary insults.
A Reddit user posted a technical supplement describing conceptual refinements to 'CGT' (Constraint-Governed Theory), including removal of intent from core explanation, replacement of 'confidence scale' with 'warrant status', and introduction of 'capacity-gated field reading' as a prompt-injection defense mechanism.
Jul 6, 2026
Dive Deposits: The CFPB just redefined 2 weeks’ notice
The Consumer Financial Protection Bureau (CFPB) issued a mandatory geographic reassignment to staff with a two-week acceptance deadline, threatening separation for noncompliance.
Published Jul 2, 2026 · Analyzed Jul 7, 2026
A system-level approach to prompt injection: separating instruction and data channels in LLM agents [P]
A system-level approach to prompt injection has been proposed to mitigate failure modes in LLM systems.
Published Jul 1, 2026 · Analyzed Jul 6, 2026