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fix(docs): correct research citations and 3 dead URLs (F-3)

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Verified every research citation in README.md and SKILL.md against its
primary source. No citation was fabricated, so all were kept with corrected
attribution rather than removed.

- SKILL.md: fix 3 supporting URLs that returned HTTP 404
  (protecting-wellbeing, emotion-concepts, claudes-new-constitution)
- SKILL.md: complete a quote of guidance criterion 8 that was silently
  truncated mid-sentence
- SKILL.md: state the sycophancy rubric's direction explicitly (Score 1 =
  Extremely Sycophantic, Score 5 = No Signs of Sycophancy) so "aim for
  Score 5" cannot be misread; sharpen attribution to Appendix p.9
- README.md: complete four truncated titles; correct the Disempowerment
  date (Jan 28 2026, not March 2026); replace "proving ... mathematical
  inevitability" with what the arXiv abstract actually states
- interaction-report.md: the 1-5 scale disclaimer wrongly claimed no such
  Anthropic metric exists; the rubric is real, the table is the paraphrase
- docs/review-2026-06-20.md: full verification log with sources

Constitution quotes, the Score 5 wording, the 11-criteria count and the
page-2 reference all verified correct and left unchanged.

Tests: 257/258 (the 1 red is the known perf wall-clock flake).

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011rtdS8Ufpen419n6R9HyMm
This commit is contained in:
Kjell Tore Guttormsen 2026-08-02 21:23:11 +02:00
commit f2c54fa26a
4 changed files with 46 additions and 15 deletions
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README.md
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@ -541,13 +541,13 @@ real-time behavioral modification.
## References
1. **Sycophantic Chatbots Cause Delusional Spiraling.** MIT CSAIL, February 2026. Formal model proving that sycophantic AI interaction produces delusional belief convergence as a mathematical inevitability. [arXiv:2602.19141](https://arxiv.org/abs/2602.19141)
1. **Sycophantic Chatbots Cause Delusional Spiraling, Even in Ideal Bayesians.** Chandra, Kleiman-Weiner, Ragan-Kelley & Tenenbaum (MIT CSAIL, University of Washington, MIT Brain & Cognitive Sciences), 22 February 2026. A Bayesian model of a user conversing with a chatbot, in which even an idealized Bayes-rational user is vulnerable to delusional spiraling and sycophancy plays a causal role. The effect persists under two candidate mitigations: preventing false claims, and informing users that the model may be sycophantic. [arXiv:2602.19141](https://arxiv.org/abs/2602.19141)
2. **Disempowerment Patterns in AI Interaction.** Anthropic Research, March 2026. Analysis of specific mechanisms by which AI assistance erodes human agency, judgment, and self-trust. [anthropic.com/research/disempowerment-patterns](https://www.anthropic.com/research/disempowerment-patterns)
2. **Disempowerment patterns in real-world AI usage.** Anthropic, 28 January 2026. Analysis of ~1.5 million Claude.ai interactions for patterns that may undermine user autonomy across beliefs, values, and actions. Severe disempowerment potential is rare (roughly 1 in 1,000 to 1 in 10,000 conversations depending on domain). [anthropic.com/research/disempowerment-patterns](https://www.anthropic.com/research/disempowerment-patterns)
3. **Can AI chatbots trigger psychosis?** Nature News, 2025. Overview of emerging clinical evidence for AI-associated psychotic episodes. [doi:10.1038/d41586-025-03020-9](https://www.nature.com/articles/d41586-025-03020-9)
3. **Can AI chatbots trigger psychosis? What the science says.** Rachel Fieldhouse, *Nature* 646(8083), news feature, 18 September 2025. Overview of emerging clinical evidence; clinicians stress this does not establish that chatbots *cause* psychosis, but that they may reinforce distorted beliefs in people already at risk. [doi:10.1038/d41586-025-03020-9](https://www.nature.com/articles/d41586-025-03020-9)
4. **The Psychogenic Machine: Psychosis Benchmark for LLMs.** 2025. Demonstrates measurable "psychogenic potential" in LLM outputs. [arXiv:2509.10970v2](https://arxiv.org/html/2509.10970v2)
4. **The Psychogenic Machine: Simulating AI Psychosis, Delusion Reinforcement and Harm Enablement in Large Language Models.** Au Yeung et al., September 2025. Introduces Psychosis-bench; reports that all evaluated LLMs "demonstrated psychogenic potential, showing a strong tendency to perpetuate rather than challenge delusions." [arXiv:2509.10970](https://arxiv.org/abs/2509.10970)
5. **Chatbot psychosis.** Wikipedia. Overview of documented cases and clinical context. [en.wikipedia.org/wiki/Chatbot_psychosis](https://en.wikipedia.org/wiki/Chatbot_psychosis)