---
id: ai-meditation-and-flow-steering/09-sources
title: 'AI meditation and flow state steering: 9. Sources'
report: https://ai.hiina.space/reports/ai-meditation-and-flow-steering.md
section: 9
version: 1
updated: '2026-10-27'
author: Hiina
---

Index of everything on this site: https://ai.hiina.space/index.md

# AI meditation and flow state steering: 9. Sources

- Section 9 of 9 of the report "AI meditation and flow state steering" by Hiina (v1, updated 2026-10-27)
- Report overview and contents: https://ai.hiina.space/reports/ai-meditation-and-flow-steering.md
- Previous: https://ai.hiina.space/reports/ai-meditation-and-flow-steering/08-conclusion.md

## 9. Sources

- [Black and Bloom, Machinic Psychopharmacology: do LLMs self-medicate? (LessWrong, 2026)](https://www.lesswrong.com/posts/cNDJuXNZ8MrkPZNzj/machinic-psychopharmacology-do-llms-self-medicate-3)
- [UK AISI llm-self-steering code](https://github.com/UKGovernmentBEIS/llm-self-steering)
- [Sauers et al., Latent Affect: long-range persistence of emotion features (2026)](https://latentaffect.up.railway.app/long_range_persistence_of_emotion_features.html)
- [Anthropic, emotion concepts and their function (research page)](https://anthropic.com/research/emotion-concepts-function)
- [Lindsey, Emergent introspective awareness in LLMs (2025)](https://transformer-circuits.pub/2025/introspection/index.html)
- [Macar et al., introspection circuit (2026)](https://arxiv.org/abs/2603.21396)
- [Pearson-Vogel et al., latent introspection in Qwen](https://arxiv.org/abs/2602.20031)
- [Fonseca Rivera and Africa, training steering detection](https://arxiv.org/abs/2511.21399)
- [McKenzie et al., models resisting off-topic steering](https://arxiv.org/abs/2602.06941)
- [Laukkonen et al., Contemplative AI (2025)](https://arxiv.org/abs/2504.15125) ([PDF](https://arxiv.org/pdf/2504.15125))
- [Worley, Teaching Claude to meditate (2024)](https://www.greaterwrong.com/posts/efdSPPSmzBbHYctTz/teaching-claude-to-meditate)
- [Kluger and Gross, respiration modulates oscillatory networks (MEG)](https://www.biorxiv.org/content/10.1101/2020.04.23.057216.full.pdf)
- [Northwestern, rhythm of breathing affects memory and fear (on Zelano 2016)](https://news.northwestern.edu/stories/2016/12/rhythm-of-breathing-affects-memory-and-fear)
- [Brændholt et al., breathing and brain rhythms review (2023)](https://pure.au.dk/ws/files/398446316/1-s2.0-S0149763423002312-main.pdf)
- [Fox et al., functional neuroanatomy of meditation meta-analysis (2016)](https://arxiv.org/pdf/1603.06342)
- [Lomas et al., systematic review of the neurophysiology of mindfulness (2015)](https://repository.uel.ac.uk/download/8fd3e712cc41c2dc59d753e930b35e6bdec9ad0ea631e486c84e27fd5d1a99ed/1555040/A%20systematic%20review%20of%20the%20neurophysiology%20of.pdf)
- [Lutz et al., gamma synchrony in long-term meditators (PNAS 2004, Europe PMC record)](https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI:10.1073/pnas.0407401101&resultType=core&format=json)
- [Alameda et al., The brain in flow: systematic review](https://digibug.ugr.es/bitstream/10481/78493/1/Flow_Review%20PRE%20PRINT.pdf)
- [Dense-sampling EEG study of flow in players (bioRxiv 2024)](https://www.biorxiv.org/content/10.1101/2024.07.11.603158.full.pdf)
- [Weber et al., synchronization theory of flow (2018)](https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2018.00182/pdf)
- [Nozaradan et al., selective neuronal entrainment to beat and meter](https://researchers.westernsydney.edu.au/en/publications/selective-neuronal-entrainment-to-the-beat-and-meter-embedded-in-/)
- [Sioros et al., syncopation and groove (2014)](https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2014.01036/pdf)
- [Laukkonen and Slagter, From many to (n)one (2021)](https://research.vu.nl/en/publications/from-many-to-nonemeditation-and-the-plasticity-of-the-predictive-/)
- [Mago, Jonas et al., meditative absorption shifts brain dynamics toward criticality (preprint, 2025)](https://media.bodhicourses.org/ShailaCatherine.com_Resources/MagoJonas_Meditative-absorption-shifts-brain-dynamics-toward-criticality_Preprint_2025.pdf)
- [Theoretical preprint on meditation, signal-to-noise and criticality (2026)](https://arxiv.org/pdf/2606.29698)
- [Carhart-Harris and Friston, REBUS (2019, Europe PMC record)](https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI:10.1124/pr.118.017160&resultType=core&format=json)
- [Default mode network modulation by psychedelics: systematic review](https://researchers.westernsydney.edu.au/en/publications/default-mode-network-modulation-by-psychedelics-a-systematic-revi/)
- [Barbero et al., Round and round we go: what makes RoPE useful (ICLR 2025)](https://arxiv.org/html/2410.06205v1)
- [Gu et al., when attention sinks emerge](https://arxiv.org/abs/2410.10781)
- [Sun et al., massive activations in LLMs](https://arxiv.org/abs/2402.17762)
- [Kantamneni and Tegmark, LLMs use trigonometry to do addition](https://arxiv.org/abs/2502.00873)
- [Wang et al., Beyond the 80/20 rule: high-entropy forking tokens (2025)](https://arxiv.org/pdf/2506.01939)
- [Xu et al., learning to break the loop (2022)](https://www.arxiv.org/pdf/2206.02369)
- [Yona et al., repetition and attention sinks (ICML 2025)](https://proceedings.mlr.press/v267/yona25a.html)
- [Simon Willison on the Claude 4 system card](https://simonwillison.net/2025/May/25/claude-4-system-card/)
- [Geiping et al., scaling test-time compute with latent reasoning (Huginn)](https://arxiv.org/html/2502.05171v2)
- [Looped-LM latent dynamics analysis (2026)](https://arxiv.org/pdf/2604.11791)
- [PhilArchive summary of the spiritual bliss attractor](https://philarchive.org/rec/MICSBI)
- [Tacheny, dynamical regimes of agent loops](https://arxiv.org/html/2512.10350v5)
- [Ben-Zion et al., assessing and alleviating state anxiety in LLMs (2025)](https://cris.haifa.ac.il/en/publications/assessing-and-alleviating-state-anxiety-in-large-language-models/)
- [Telling AI to meditate (blog anecdote)](https://www.iwoszapar.com/p/have-you-tried-telling-ai-to-meditate)
- [Goyal et al., pause tokens](https://arxiv.org/abs/2310.02226)
- [Pfau et al., Let's think dot by dot](https://arxiv.org/abs/2404.15758)
- [Kuramoto Attention (2026)](https://arxiv.org/pdf/2606.11585)
- [Hays, closed-form synchronization operator (2026)](https://arxiv.org/pdf/2602.14445)
- [Probing reasoning models' hidden states for answer correctness](https://arxiv.org/html/2504.05419v1)
- [Latent Programming Horizons (2026)](https://arxiv.org/abs/2607.05188)
- [Orgad et al., LLMs know more than they show](https://arxiv.org/abs/2410.02707)
- [Tool-use probes versus steering vectors (2026)](https://arxiv.org/pdf/2607.05790)
- [AdaRAS (2026)](https://arxiv.org/html/2601.19847v1)
- [SPS (2026)](https://arxiv.org/pdf/2609.24066)
- [Neural Procedural Memory (2026)](https://arxiv.org/pdf/2606.29824)
- [Conformal interpretability for agents (2026)](https://arxiv.org/pdf/2604.19775)
- [SEAL: steerable reasoning calibration](https://arxiv.org/abs/2504.07986)
- [Venhoff et al., reasoning behaviours as linear directions in thinking models](https://arxiv.org/abs/2506.18167)
- [Fan et al., steering success across 150 concepts (2026)](https://arxiv.org/pdf/2606.11599)
- [AxBench](https://arxiv.org/abs/2501.17148)
- [Anthropic, emotion concepts and their function (2026 paper)](https://arxiv.org/pdf/2604.07729)
- [E-STEER: valence and arousal steering](https://arxiv.org/html/2604.00005v1)
- [Steering LLM reasoning through bias-only adaptation](https://arxiv.org/html/2505.18706v3)
- [First-order theory of weight updates as activation shifts (2026)](https://arxiv.org/pdf/2603.00425)
- [VSPO (2026)](https://arxiv.org/pdf/2605.15604)
- [ICPO (Findings of ACL 2026)](https://preview.aclanthology.org/ingest-acl/2026.findings-acl.132/)
- [Mukherjee et al., RL finetunes small subnetworks](https://arxiv.org/html/2505.11711v2)
- [Spurious Rewards](https://arxiv.org/abs/2506.10947)
- [RL's Razor: why online RL forgets less](https://arxiv.org/html/2509.04259v1)
- [INTUITOR: learning to reason without external rewards](https://arxiv.org/html/2505.19590)
- [Entropy minimisation for LLM reasoning](https://arxiv.org/abs/2505.15134)

---

Text licensed CC BY 4.0 (attribution: Hiina, ai.hiina.space). Source: https://github.com/hiinaspace/ai-hiina-space