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

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

# AI memory palaces and superdidactic AI: 9. Sources

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

## 9. Sources

Every claim links to the page it came from, inline. Pages were read through a summarizing fetch tool and two verification passes re-checked load-bearing claims. Where a primary paper couldn't be opened (several Nature, NEJM, Cell and PMC pages blocked automated reads), the figure comes from an abstract, press release or review, and the link says which. The weakest-sourced figures are Neuralink's (company claims relayed by secondary sites) and the Shattuck 34% intent figure (Wikipedia plus an unofficial mirror).

- [Method of loci meta-analysis (2025), Masaryk University record](https://www.fss.muni.cz/vyzkum/publikace/prehled/2496979)
- [Twomey & Kroneisen 2021, method of loci meta-analysis](https://journals.sagepub.com/doi/10.1177/1747021821993457)
- [Dresler et al. 2017, memorization training (Stanford Medicine news)](https://med.stanford.edu/news/all-news/2017/03/memorization-tool-bulks-up-brains-internal-connections.html)
- [Krokos, Plaisant & Varshney 2019, virtual memory palaces](https://obj.umiacs.umd.edu/virtual_reality_study/10.1007-s10055-018-0346-3.pdf)
- [Legge et al. 2012, virtual vs imagined method of loci](https://www.psych.ualberta.ca/~cml/papers/LeggEtal2012.pdf)
- [SMART: AI-enhanced mnemonic learning (UMIACS news)](https://www.umiacs.umd.edu/about-us/news/umd-team-uses-ai-enhance-mnemonic-learning)
- [AI-suggested loci associations pilot (J-STAGE)](https://www.jstage.jst.go.jp/article/his/27/4/27_261/_article/-char/en)
- [Critique of MemPalace agent memory (arXiv 2604.21284)](https://arxiv.org/html/2604.21284v1)
- [Smith et al. 2014, environmental context-dependent memory](https://people.tamu.edu/~stevesmith/Smithetal2014.pdf)
- [Smith & Vela 2001, context-dependent memory meta-analysis (abstract)](https://doi.org/10.3758%2fBF03196157)
- [Imagined context reinstatement thesis (Wilfrid Laurier University)](https://scholars.wlu.ca/etd/1954)
- [Köhnken et al. 1999, the cognitive interview: a meta-analysis](https://researchportal.port.ac.uk/en/publications/the-cognitive-interview-a-meta-analysis/)
- [McDonagh & Storer 2005, mood boards as a design catalyst](https://experts.illinois.edu/en/publications/mood-boards-as-a-design-catalyst-and-resource-researching-an-unde/)
- [Teasley et al. 2000, war rooms and collocated teams](https://public.websites.umich.edu/~igri/publications/Teasley%20et%20al_00.pdf)
- [Mark, González & Harris 2005, no task left behind (CHI)](https://www.interruptions.net/literature/Mark-CHI05-p321-mark.pdf)
- [Trafton et al. 2003, preparing to resume an interrupted task](https://interruptions.net/literature/Trafton-IJHCS03.pdf)
- [Leroy & Glomb ready-to-resume plan (Futurity summary)](https://www.futurity.org/ready-to-resume-plan-1656322/)
- [Parnin & DeLine 2010, evaluating cues for resuming interrupted programming tasks](https://www.microsoft.com/en-us/research/publication/evaluating-cues-for-resuming-interrupted-programming-tasks/)
- [Ghibellini & Meier 2025, Zeigarnik effect meta-analysis](https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-05000-w.html)
- [Starmer et al. 2014, I-PASS handoffs (Harvard Medical School news)](https://hms.harvard.edu/news/safer-patient-handoffs)
- [Mercado et al. 2016, agent transparency in human-agent teaming](https://journals.sagepub.com/doi/reader/10.1177/0018720815621206)
- [Intent (military), Wikipedia](<https://en.wikipedia.org/wiki/Intent_(military)>)
- [Wheeler & Gabbert 2017, self-generated cues and memory](https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2017.01830/pdf)
- [Kaasa, Morris & Loftus 2011, memory for past intentions (BPS Research Digest)](https://bps.org.uk/research-digest/how-reliable-our-memory-our-own-previous-intentions)
- [Buckingham Shum et al., design rationale capture](https://research-archive.stem.open.ac.uk/stemra-data/uploads/files/KMI-05-18.pdf)
- [von Hippel 2024, two-sigma tutoring revisited (Education Next)](https://www.educationnext.org/wp-content/uploads/2024/03/ednext_XIV_2_von_hippel.pdf)
- [Kraft, Schueler & Falken 2026, tutoring meta-analysis of 263 RCTs](https://journals.sagepub.com/doi/10.3102/00346543261446660)
- [Kestin et al. 2025, AI tutoring in Harvard physics](https://pmc.ncbi.nlm.nih.gov/articles/PMC12179260/)
- [Re-analysis of the Harvard AI tutoring study (Clay Ford)](https://clayford.net/posts/ai_tutoring_nature/index.html)
- [De Simone et al. 2025, GPT-4 after-school tutoring in Nigeria (World Bank)](https://openknowledge.worldbank.org/bitstreams/cd9cca5b-2ffd-4be1-8313-0f4d2ed6ef4f/download)
- [Oreopoulos & Low 2026, Khanmigo cluster RCT (NBER w35620)](https://www.nber.org/papers/w35620)
- [World Bank 2026, can ed-tech close learning gaps?](https://thedocs.worldbank.org/en/doc/2fba81cd6cd60d2f54532fc7062395fb-0050062026/original/Can-EdTech-Close-Learning-Gaps.pdf)
- [Bastani et al. 2025, generative AI can harm learning (PNAS)](https://ideas.repec.org/a/nas/journl/v122y2025pe2422633122.html)
- [IDA D-5358, DARPA Digital Tutor evaluation](https://apps.dtic.mil/sti/pdfs/AD1002362.pdf)
- [Retraction of the Wang & Fan ChatGPT meta-analysis (Plagiarism Today)](https://www.plagiarismtoday.com/2026/07/15/study-claiming-ai-helps-students-learn-retracted/)
- [Hackenburg et al. 2025, the levers of political persuasion with AI (Science)](https://researchonline.lse.ac.uk/id/eprint/130605)
- [Costello, Pennycook & Rand, AI dialogues reduce conspiracy belief (Nieman Lab)](https://www.niemanlab.org/2024/09/an-ai-chatbot-helped-americans-who-believe-in-conspiracy-theories-exit-the-rabbit-hole/)
- [Landauer 1986, how much do people remember?](https://home.cs.colorado.edu/~mozer/Teaching/syllabi/7782/readings/Landauer1986.pdf)
- [Macnamara et al. 2014, deliberate practice meta-analysis (APS)](https://www.psychologicalscience.org/news/releases/becoming-an-expert-takes-more-than-practice.html)
- [open-spaced-repetition srs-benchmark (GitHub)](https://github.com/open-spaced-repetition/srs-benchmark)
- [KAR3L, content-aware flashcard scheduling (arXiv 2402.12291)](https://arxiv.org/pdf/2402.12291)
- [LECTOR (arXiv 2508.03275)](https://arxiv.org/html/2508.03275)
- [LLM-generated medical flashcards pipeline (medRxiv)](https://www.medrxiv.org/content/10.1101/2025.05.13.25327518v1.full.pdf)
- [Andy Matuschak, notes on LLM-generated prompts](https://notes.andymatuschak.org/zomoPzCNzSi5GqtfTeVWgm7RjmiArjS8vvM5)
- [Butowska-Buczynska et al. 2024, varied retrieval cues (PNAS)](https://share.swps.edu.pl/handle/swps/1120)
- [Rowland 2014, testing effect meta-analysis](https://courseware.epfl.ch/assets/courseware/v1/fdde2f0aa590bf3b1324077a6bf1540c/asset-v1%3AEPFL%2BDEMO%2B2020%2Btype%40asset%2Bblock/Rowland2014-meta-analysis.pdf)
- [Cepeda et al. 2008, spacing effects in learning](https://pubmed.ncbi.nlm.nih.gov/19076480/)
- [Krasne et al. 2013, perceptual learning modules in histopathology](https://pmc.ncbi.nlm.nih.gov/articles/PMC3908489)
- [Koroma et al. 2022, learning during sleep](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2022.801666/pdf)
- [Züst et al. 2019, learning new vocabulary during deep sleep (University of Bern)](https://mediarelations.unibe.ch/media_releases/2019/medienmitteilungen_2019/learning_new_vocabulary_during_deep_sleep/index_eng.html)
- [Hu et al. 2020, targeted memory reactivation meta-analysis](https://faculty.wcas.northwestern.edu/paller/PsychBulletin2020.pdf)
- [Carbone & Diekelmann 2024, TMR durability (npj Science of Learning)](https://www.nature.com/articles/s41539-024-00244-8)
- [Humiston & Wamsley 2019, failed replication of implicit-bias TMR](https://ideas.repec.org/a/plo/pone00/0211416.html)
- [Harlow et al. 2023, closed-loop auditory stimulation meta-analysis](https://public-pages-files-2025.frontiersin.org/journals/sleep/articles/10.3389/frsle.2023.1082253/text)
- [Henin et al. 2019, closed-loop stimulation and memory (eNeuro)](https://www.eneuro.org/content/6/6/ENEURO.0306-19.2019)
- [Elemind neuromodulation headband (IEEE Spectrum)](https://spectrum.ieee.org/elemind-neuromodulation)
- [Göldi & Rasch 2019, home TMR](https://link.springer.com/article/10.1038/s41539-019-0044-2)
- [Greenwald et al. 1991, subliminal self-help audiotapes](https://www.Gwern.net/doc/psychology/1991-greenwald.pdf)
- [Subliminal priming replications (Meta-Psychology)](https://open.lnu.se/index.php/metapsychology/article/view/3308)
- [Targeted dream incubation and creativity (MIT News)](https://news.mit.edu/2023/sleep-sweet-spot-dreams-creativity-0515)
- [Konkoly et al. 2021, two-way communication with lucid dreamers](https://bpb-us-e1.wpmucdn.com/sites.northwestern.edu/dist/4/2492/files/2026/04/Konkoly_2021_Curr_Biol.pdf)
- [Predicting memory responders to sleep stimulation (medRxiv 2025 preprint)](https://www.medrxiv.org/content/10.1101/2025.11.12.25340010v1.full.pdf)
- [Sheeran, Listroma & Gollwitzer 2025, implementation intentions meta-analysis](https://kops.uni-konstanz.de/server/api/core/bitstreams/d703c468-46e9-47fc-8900-d32d7d19c8d9/content)
- [Maier et al. 2022, no evidence for nudging after bias adjustment (PNAS)](https://pmc.ncbi.nlm.nih.gov/articles/PMC9351501)
- [DellaVigna & Linos 2022, RCTs to scale: nudge units (NBER w27594)](https://www.nber.org/papers/w27594)
- [Milkman et al. 2021, gym megastudy (Nature)](https://authors.library.caltech.edu/records/mys88-cc756)
- [Milkman et al. 2022, 680,000-person vaccination nudge megastudy](https://knowledge.uchicago.edu/record/9653/files/milkman-et-al-2022-a-680-000-person-megastudy-of-nudges-to-encourage-vaccination-in-pharmacies.pdf)
- [Klasnja et al. 2019, HeartSteps micro-randomized trial (Europe PMC)](https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:30192907%20AND%20SRC:MED&resultType=core&format=json)
- [Chatbot physical activity coaching meta-analysis, 12 RCTs](https://pmc.ncbi.nlm.nih.gov/articles/PMC12254675)
- [Giné, Karlan & Zinman, commitment contracts for smoking cessation](https://poverty-action.org/sites/default/files/publications/put_your_money_where_your_butt_is.pdf)
- [LLM-personalized energy feedback field trial (arXiv 2604.03881)](https://arxiv.org/abs/2604.03881)
- [Jörke et al. 2025, GPTCoach](https://hci.stanford.edu/publications/2025/Joerke_GPTCoach.pdf)
- [Mishra et al. 2021, detecting receptivity for mHealth interventions](https://arxiv.org/abs/2011.08302)
- [Künzler et al. 2019, receptivity to just-in-time interventions](https://cs.dartmouth.edu/dfk/research/kunzler-receptivity/index.html)
- [Yancey & Settles 2020, recovering bandit for Duolingo notifications (KDD)](https://research.Duolingo.com/papers/yancey.kdd20.pdf)
- [Chiu & Gilbert 2023, reminder setting and strategic offloading](https://discovery.ucl.ac.uk/10176285/1/chiu-gilbert-2023-express-influence-of-the-physical-effort-of-reminder-setting-on-strategic-offloading-of-delayed.pdf)
- [Wood & Rünger 2016, psychology of habit](https://dornsife.usc.edu/wendy-wood/wp-content/uploads/sites/183/2023/10/wood.runger.2016.pdf)
- [Oralytics reinforcement learning design (arXiv 2406.13127)](https://arxiv.org/html/2406.13127v1)
- [GameNGen, diffusion models as game engines (arXiv 2408.14837)](https://arxiv.org/abs/2408.14837)
- [Genie 3 (Google DeepMind)](https://deepmind.google/discover/blog/genie-3-a-new-frontier-for-world-models/)
- [NeuralOS (arXiv 2507.08800)](https://arxiv.org/abs/2507.08800)
- [Generative UI (Google Research)](https://research.google/blog/generative-ui-a-rich-custom-visual-interactive-user-experience-for-any-prompt/)
- [Gajos et al. 2008, SUPPLE++ improving performance for motor-impaired users](https://www.eecs.harvard.edu/~kgajos/papers/2008/gajos08improving.shtml)
- [Findlater et al. 2009, adaptive interfaces and motor memory](https://www.cs.ubc.ca/labs/edapt/papers/findlater2009.pdf)
- [Willett et al. 2023, high-performance speech neuroprosthesis (Nature)](https://www.nature.com/articles/s41586-023-06377-x)
- [Metzger et al. 2023, brain implants restore communication (Physics World)](https://physicsworld.com/a/high-performance-brain-implants-restore-communication-to-those-who-cannot-speak/)
- [Card et al. 2024, accurate and rapidly calibrating speech neuroprosthesis](https://profiles.wustl.edu/en/publications/an-accurate-and-rapidly-calibrating-speech-neuroprosthesis/)
- [Neuralink cursor record (Decrypt)](https://decrypt.co/230021/neuralink-implant-patient-gaming-sets-bci-record)
- [Meta sEMG wristband (The Register)](https://www.theregister.com/2025/07/23/meta_wristband_ui_control/)
- [Brain2Qwerty non-invasive typing decoding (arXiv 2502.17480)](https://arxiv.org/abs/2502.17480)
- [Flesher et al. 2021, tactile microstimulation in a BCI](https://pubmed.ncbi.nlm.nih.gov/34016775/)
- [Fernández et al. 2021, visual percepts from an intracortical microelectrode array](https://research.vu.nl/en/publications/visual-percepts-evoked-with-an-intracortical-96-channel-microelec/)
- [Zheng & Meister, the unbearable slowness of being (arXiv 2408.10234)](https://arxiv.org/abs/2408.10234)
- [State of Brain Emulation Report 2025 (arXiv 2510.15745v3)](https://arxiv.org/abs/2510.15745v3)
- [FlyWire whole fly brain connectome (Earth.com)](https://earth.com/news/first-complete-map-of-every-neuron-in-the-brain-revealed)
- [Shiu et al. 2024, fly connectome model (UC Berkeley)](https://ls.berkeley.edu/node/1426)
- [MICrONS mouse visual cortex map (NIH)](https://www.nih.gov/news-events/news-releases/scientists-map-unprecedented-detail-connections-visual-perception-mouse-brain)
- [State of Brain Emulation Report 2025, v2 PDF](https://arxiv.org/pdf/2510.15745v2)
- [E11 Bio roadmap](https://e11.bio/news/roadmap)
- [Dawes 1979, the robust beauty of improper linear models](https://www.cmu.edu/dietrich/sds/docs/dawes/the-robust-beauty-of-improper-linear-models-in-decision-making.pdf)
- [Park et al. 2024, generative agent simulations of 1,000 people (arXiv 2411.10109)](https://arxiv.org/abs/2411.10109v1)
- [Twin-2K-500 (arXiv 2505.17479)](https://arxiv.org/abs/2505.17479)
- [Maia individual chess models (arXiv 2008.10086)](https://arxiv.org/abs/2008.10086v2)
- [Chalmers 1995, absent qualia, fading qualia, dancing qualia](https://consc.net/papers/qualia.html)
- [Personal identity, Stanford Encyclopedia of Philosophy](https://plato.stanford.edu/entries/identity-personal/)
- [Review of Susan Schneider, Artificial You (The Philosophers' Magazine)](https://archive.philosophersmag.com/artificial-you-ai-and-the-future-of-your-mind-by-susan-schneider-a-review/)
- [The Chinese Room Argument, Stanford Encyclopedia of Philosophy](https://plato.stanford.edu/entries/chinese-room/)
- [Seth 2025, conscious AI and biological naturalism](https://sussex.figshare.com/articles/journal_contribution/Conscious_artificial_intelligence_and_biological_naturalism/28649519)
- [Koch on what it will take for computers to be conscious (MIT Technology Review)](https://www.technologyreview.com/2014/10/02/171077/what-it-will-take-for-computers-to-be-conscious/)
- [Robin Hanson, The Age of Em](https://mason.gmu.edu/~rhanson/ageofem)

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