Markdown version: https://ai.hiina.space/reports/ai-meditation-and-flow-steering/09-sources.md · index
Index of everything on this site: https://ai.hiina.space/index.md
AI meditation
and flow state steering: 9. Sources
9. Sources
- Black
and Bloom, Machinic Psychopharmacology: do LLMs self-medicate?
(LessWrong, 2026)
- UK
AISI llm-self-steering code
- Sauers
et al., Latent Affect: long-range persistence of emotion features
(2026)
- Anthropic,
emotion concepts and their function (research page)
- Lindsey,
Emergent introspective awareness in LLMs (2025)
- Macar et al.,
introspection circuit (2026)
- Pearson-Vogel et al.,
latent introspection in Qwen
- Fonseca Rivera and
Africa, training steering detection
- McKenzie et al., models
resisting off-topic steering
- Laukkonen et al.,
Contemplative AI (2025) (PDF)
- Worley,
Teaching Claude to meditate (2024)
- Kluger
and Gross, respiration modulates oscillatory networks (MEG)
- Northwestern,
rhythm of breathing affects memory and fear (on Zelano 2016)
- Brændholt
et al., breathing and brain rhythms review (2023)
- Fox et al., functional
neuroanatomy of meditation meta-analysis (2016)
- Lomas
et al., systematic review of the neurophysiology of mindfulness
(2015)
- Lutz
et al., gamma synchrony in long-term meditators (PNAS 2004, Europe PMC
record)
- Alameda
et al., The brain in flow: systematic review
- Dense-sampling
EEG study of flow in players (bioRxiv 2024)
- Weber
et al., synchronization theory of flow (2018)
- Nozaradan
et al., selective neuronal entrainment to beat and meter
- Sioros
et al., syncopation and groove (2014)
- Laukkonen
and Slagter, From many to (n)one (2021)
- Mago,
Jonas et al., meditative absorption shifts brain dynamics toward
criticality (preprint, 2025)
- Theoretical preprint on
meditation, signal-to-noise and criticality (2026)
- Carhart-Harris
and Friston, REBUS (2019, Europe PMC record)
- Default
mode network modulation by psychedelics: systematic review
- Barbero et al., Round
and round we go: what makes RoPE useful (ICLR 2025)
- Gu et al., when attention
sinks emerge
- Sun et al., massive
activations in LLMs
- Kantamneni and Tegmark,
LLMs use trigonometry to do addition
- Wang et al., Beyond the
80/20 rule: high-entropy forking tokens (2025)
- Xu et al., learning
to break the loop (2022)
- Yona et
al., repetition and attention sinks (ICML 2025)
- Simon
Willison on the Claude 4 system card
- Geiping et al.,
scaling test-time compute with latent reasoning (Huginn)
- Looped-LM latent dynamics
analysis (2026)
- PhilArchive summary of
the spiritual bliss attractor
- Tacheny, dynamical
regimes of agent loops
- Ben-Zion
et al., assessing and alleviating state anxiety in LLMs (2025)
- Telling
AI to meditate (blog anecdote)
- Goyal et al., pause
tokens
- Pfau et al., Let's think
dot by dot
- Kuramoto Attention
(2026)
- Hays, closed-form
synchronization operator (2026)
- Probing reasoning
models' hidden states for answer correctness
- Latent Programming
Horizons (2026)
- Orgad et al., LLMs know
more than they show
- Tool-use probes versus
steering vectors (2026)
- AdaRAS (2026)
- SPS (2026)
- Neural Procedural Memory
(2026)
- Conformal
interpretability for agents (2026)
- SEAL: steerable reasoning
calibration
- Venhoff et al., reasoning
behaviours as linear directions in thinking models
- Fan et al., steering
success across 150 concepts (2026)
- AxBench
- Anthropic, emotion
concepts and their function (2026 paper)
- E-STEER: valence and
arousal steering
- Steering LLM reasoning
through bias-only adaptation
- First-order theory of
weight updates as activation shifts (2026)
- VSPO (2026)
- ICPO
(Findings of ACL 2026)
- Mukherjee et al., RL
finetunes small subnetworks
- Spurious Rewards
- RL's Razor: why online
RL forgets less
- INTUITOR: learning to
reason without external rewards
- Entropy minimisation for
LLM reasoning
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