EONORYX · RESEARCH 001 · NOVEMBER 2026
Scientific sources
Investigating phenomena humanity has not yet learned to name.
Selected primary and secondary scientific references. Source verification does not imply independent replication of a research hypothesis. Full bibliography: charter PDF.
- 1 · VerifiedITU-R Recommendation M.2160 — Framework and overall objectives of the future development of IMT for 2030 and beyond.Source ↗
- 2 · VerifiedCerf, V., Dalal, Y., Sunshine, C. — Specification of Internet Transmission Control Program (RFC 675), December 1974; Reagle, J. — The etymology of 'Internet'.Source ↗
- 3 · VerifiedMesseri, L., Crockett, M. J. — Artificial intelligence and illusions of understanding in scientific research.Source ↗
- 4 · Secondary sourceHistory of the term 'smartphone' (Ericsson GS88 concept, 1997; earlier 'smart phone' in trade press from the 1980s).Source ↗
- 5 · VerifiedZimmer, B. — The rise of 'social media' (first citation 1994; overtook 'Web 2.0' in search volume in 2009).Source ↗
- 6 · VerifiedRegalado, A. — Who Coined 'Cloud Computing'? (Compaq internal paper, 14 Nov 1996; Schmidt, 9 Aug 2006; first newspaper use 2007).Source ↗
- 7 · Secondary sourceCollingridge, D. — The Social Control of Technology (the Collingridge dilemma).Source ↗
- 8 · VerifiedMuon g−2 Collaboration — Final measurement of the muon anomalous magnetic moment (127 ppb), 3 June 2025; Muon g−2 Theory Initiative — 2025 white paper (lattice-based Standard Model prediction), arXiv 2505.21476.Source ↗
- 9 · VerifiedCMS Collaboration — Measurement of the W boson mass (80,360.2 ± 9.9 MeV), September 2024; compare CDF 2022 (80,433.5 ± 9.4 MeV) and PDG 2026 world average excluding CDF.Source ↗
- 10 · VerifiedFreedman, W. L., Madore, B. F., Hoyt, T. J., et al. — Status Report on the Chicago-Carnegie Hubble Program (CCHP): Measurement of the Hubble Constant Using the Hubble and James Webb Space Telescopes.Source ↗
- 11 · VerifiedDESI Collaboration — DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints.Source ↗
- 12 · VerifiedForero-Sánchez, D., Gil-Marín, H., Verde, L., et al. — Cosmological constraints from a joint DESI DR1 Full-Shape and DR2 BAO analysis.Source ↗
- 13 · VerifiedHuh, M., Cheung, B., Wang, T., Isola, P. — Position: The Platonic Representation Hypothesis.Source ↗
- 14 · VerifiedJha, R., Zhang, C., Shmatikov, V., Morris, J. X. — Harnessing the Universal Geometry of Embeddings.Source ↗
- 15 · VerifiedGröger, F., Wen, S., Brbić, M. — Revisiting the Platonic Representation Hypothesis: An Aristotelian View.Source ↗
- 16 · VerifiedYou, Jang, Mo, Jung — What Converges in the Platonic Representation Hypothesis? Structure over Geometry.Source ↗
- 17 · VerifiedAshery, A. F., Aiello, L. M., Baronchelli, A. — Emergent social conventions and collective bias in LLM populations.Source ↗
- 18 · VerifiedLi, Li, Zhou — Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook.Source ↗
- 19 · Partially verifiedLuppi, A. I., et al. — A synergistic core for human brain evolution and cognition.Source ↗
- 20 · VerifiedRiedl, C. — Emergent Coordination in Multi-Agent Language Models.Source ↗
- 21 · VerifiedDumas, J.-G., Pernet, C., Sedoglavic, A. — A non-commutative algorithm for multiplying 4×4 matrices using 48 non-complex multiplications.Source ↗
- 22 · VerifiedGeorgiev, B., Gómez-Serrano, J., Tao, T., Wagner, A. Z. — Mathematical exploration and discovery at scale.Source ↗
- 23 · VerifiedHe, Patkowski, et al. — Chimeric infective particles expand species boundaries in phage inducible chromosomal island mobilization; and Penadés et al. — AI mirrors experimental science to uncover a novel mechanism of gene transfer.Source ↗
- 24 · VerifiedGottweis, J., et al. — Accelerating scientific discovery with [an automated multi-agent research system; system name abridged from title].Source ↗
- 25 · VerifiedSothanaphan, N. — Resolution of Erdős Problem #728 [subtitle abridged; write-up of a machine-produced Lean proof].Source ↗
- 26 · VerifiedFeng, Trinh, et al. — Semi-autonomous mathematics discovery: a case study on the Erdős problems [subtitle abridged; a commercial system name omitted].Source ↗
- 27 · VerifiedCheng, M., Lee, C., Khadpe, P., Yu, S., Han, D., Jurafsky, D. — Sycophantic AI decreases prosocial intentions and promotes dependence.Source ↗
- 28 · VerifiedJain, Park, Viana, Wilson, Calacci — Interaction Context Often Increases Sycophancy in LLMs.Source ↗
- 29 · VerifiedYousef, Aiersilan, Abroms, Broniatowski — Same Question, Different Answers: Auditing Persona-Dependent Variation in Six LLMs on Smoking-Cessation Advice.Source ↗
- 30 · VerifiedTan, Sun, Ma, et al. — MemBubble: Benchmarking How Agent Memory Shapes LLM Response Diversity.Source ↗
- 31 · VerifiedColumbia Journalism Review, Tow Center for Digital Journalism — report on what assistant memory retains about users and on the absence of studies measuring personalization's effect on news presentation.Source ↗
- 32 · VerifiedCloudflare — Cloudflare collaborates with leading payments companies to secure and enable agentic commerce (press release).Source ↗
- 33 · Secondary sourcex402 Foundation — launch under the Linux Foundation with payment-network, cloud and commerce members; more than 160 million agent-initiated payments reported in a year.Source ↗
- 34 · VerifiedDillavou, S., Beyer, B. D., Stern, M., Liu, A. J., Miskin, M. Z., Durian, D. J. — Machine learning without a processor: Emergent learning in a nonlinear analog network.Source ↗
- 35 · Partially verifiedAltman, L. E., Stern, M., Liu, A. J., Durian, D. J. — Experimental demonstration of coupled learning in elastic networks.Source ↗
- 36 · VerifiedStern, M., Guzman, M., Martins, F., Liu, A. J., Balasubramanian, V. — Physical networks become what they learn.Source ↗
- 37 · Secondary sourceExtropic — From one to one billion (Z1 tape-out: 269,568 pbits, under 1 W; early access 2027).Source ↗
- 38 · Secondary sourceCortical Labs — CL1 biological computer (launched at MWC, 2 March 2025; ~$35,000 per module; 59 electrodes; cultures viable up to six months).Source ↗
- 39 · VerifiedEcker, L., Martinez, R., Gunawardena, J., Levin, M., et al. — Biochemically plausible models of habituation for single-cell learning.Source ↗
- 40 · VerifiedGumuskaya, G., et al.; Levin, M. (Tufts) — Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells.Source ↗
- 41 · Secondary sourceAdamala laboratory (University of Minnesota) — a bottom-up synthetic cell performing selection, genome replication, growth and genetically encoded division ('SpudCell').Source ↗
- 42 · VerifiedRosas, F. E., Mediano, P. A. M., et al. — Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data.Source ↗
- 43 · VerifiedMediano, P. A. M., Rosas, F. E., Luppi, A. I., et al. — Greater than the parts: a review of the information decomposition approach to causal emergence.Source ↗
- 44 · Partially verifiedHoel, E. P., Albantakis, L., Tononi, G. — Quantifying causal emergence shows that macro can beat micro.Source ↗
- 45 · VerifiedHoel, E. — Causal Emergence 2.0: Quantifying emergent complexity.Source ↗
- 46 · VerifiedEberhardt, F., Lee, L. L. — Causal Emergence: When Distortions in a Map Obscure the Territory.Source ↗
- 47 · VerifiedLau, E., Furman, Z., Wang, G., Murfet, D., Wei, S. — The Local Learning Coefficient: A Singularity-Aware Complexity Measure.Source ↗
- 48 · VerifiedCullen, Estan-Ruiz, Danait, Li — A Basin-Selection Perspective on Grokking via Singular Learning Theory.Source ↗
- 49 · VerifiedToker, D., et al. — Consciousness is supported by near-critical slow cortical electrodynamics.Source ↗
- 50 · VerifiedMaschke, C., et al.; Blain-Moraes, S. — Critical dynamics in spontaneous EEG predict anesthetic-induced loss of consciousness and perturbational complexity.Source ↗
- 51 · VerifiedTouboul, J., Destexhe, A. — Power-law statistics and universal scaling in the absence of criticality.Source ↗
- 52 · VerifiedPriesemann, V., et al. — Spike avalanches in vivo suggest a driven, slightly subcritical brain state.Source ↗
- 53 · VerifiedBeggs, J. M., Timme, N. — Being critical of criticality in the brain.Source ↗
- 54 · VerifiedClark, A., Chalmers, D. — The Extended Mind.Source ↗
- 55 · VerifiedHutchins, E. — Cognition in the Wild.Source ↗
- 56 · Verified[Large collaboration; author list omitted] — Quantum error correction below the surface code threshold.Source ↗
- 57 · VerifiedDurant, F., Morokuma, J., Fields, C., Williams, K., Adams, D. S., Levin, M. — Long-Term, Stochastic Editing of Regenerative Anatomy via Targeting Endogenous Bioelectric Gradients.Source ↗
- 58 · VerifiedLevin, M. — Bioelectric networks: the cognitive glue enabling evolutionary scaling from physiology to mind.Source ↗
- 59 · VerifiedFruchart, M., Hanai, R., Littlewood, P. B., Vitelli, V. — Non-reciprocal phase transitions.Source ↗
- 60 · VerifiedGreilich, A., et al. (TU Dortmund, Ioffe Institute) — Robust continuous time crystal in an electron–nuclear spin system.Source ↗
- 61 · VerifiedZhao, H., Smalyukh, I. I. (University of Colorado Boulder) — Space-time crystals from particle-like topological solitons.Source ↗
- 62 · VerifiedSwitzer, E. R., et al. — Realization of two-dimensional discrete time crystals with anisotropic Heisenberg coupling.Source ↗
- 63 · VerifiedSharma, A., Czégel, D., Lachmann, M., Kempes, C. P., Walker, S. I., Cronin, L. — Assembly theory explains and quantifies selection and evolution.Source ↗
- 64 · VerifiedUthamacumaran, A., Abrahão, F. S., Kiani, N. A., Zenil, H. — On the salient limitations of the methods of assembly theory and their classification of molecular biosignatures.Source ↗
- 65 · VerifiedShumailov, I., et al. — AI models collapse when trained on recursively generated data.Source ↗
- 66 · VerifiedBestvater, S., Smith, A., TerBush, Baronavski, Chavda (Pew Research Center) — How Much of the Internet Is Written With AI?Source ↗
- 67 · VerifiedFiebelkorn, I. C., Pinsk, M. A., Kastner, S. — A Dynamic Interplay within the Frontoparietal Network Underlies Rhythmic Spatial Attention.Source ↗
- 68 · VerifiedLandau, A. N., Fries, P. — Attention Samples Stimuli Rhythmically.Source ↗
- 69 · VerifiedMarkus, A., Shamay-Tsoory, S. G. — Hyperscanning: from inter-brain coupling to causality.Source ↗
- 70 · VerifiedBurgess, A. P. — On the interpretation of synchronization in EEG hyperscanning studies: a cautionary note.Source ↗
- 71 · VerifiedTessler, M. H., Bakker, M. A., et al. — AI can help humans find common ground in democratic deliberation.Source ↗
- 72 · VerifiedDu, Y., van Mastrigt, R., Veenstra, J., Coulais, C. — Metamaterials that learn to change shape.Source ↗
- 73 · VerifiedMelanson, D., et al. — Thermodynamic computing system for AI applications.Source ↗
- 74 · VerifiedKagan, B. J., et al. (Cortical Labs) — In vitro neurons learn and exhibit sentience when embodied in a simulated game-world.Source ↗
- 75 · VerifiedTyler, W. J. — Ultrasonic Brain Computer Interfaces for Enhancing Human-Machine Cognition.Source ↗
- 76 · VerifiedWright, L. G., Onodera, T., Stein, M. M., et al.; McMahon, P. L. (Cornell) — Deep physical neural networks trained with backpropagation.Source ↗
- 77 · VerifiedSingh, M. P. — Information-Driven Interaction-Oriented Programming: BSPL, the Blindingly Simple Protocol Language.Source ↗
- 78 · VerifiedZhan, Z. (Caltech) — Distributed Acoustic Sensing Turns Fiber-Optic Cables into Sensitive Seismic Antennas.Source ↗
- 79 · VerifiedSipling, C., Zhang, Y.-H., Di Ventra, M. — A Critical Assessment of the Brain Criticality Hypothesis.Source ↗
- 80 · VerifiedWillis, Zhao, Du, Leibo — Evaluating Collective Behaviour of Hundreds of LLM Agents.Source ↗
- 81 · VerifiedZomer, N., De Domenico, M. — Unraveling the emergence of collective behavior in networks of cognitive agents.Source ↗
- 82 · VerifiedKoepke, Zverev, Ginosar, Efros et al. — Back into Plato's Cave: Examining Cross-modal Representational Convergence at Scale.Source ↗
- 83 · VerifiedCross-brain transfer of high-performance intracortical speech and handwriting BCIs.Source ↗
- 84 · VerifiedHughes, E., Dennis, M., Parker-Holder, J., et al. — Position: Open-Endedness is Essential for Artificial Superhuman Intelligence.Source ↗
- 85 · VerifiedW3C — Verifiable Credentials Data Model v2.0.Source ↗
- 86 · VerifiedKasselman, P., et al. — AI Identity Management System (AIMS), draft-ietf-wimse-aims-00.Source ↗
- 87 · VerifiedBansal, G., et al. — Magentic Marketplace: an open-source environment for studying agentic markets.Source ↗
- 88 · VerifiedAdobe — Holiday 2025 online shopping recap: AI-referred traffic to US retail sites up 693% year on year.Source ↗
- 89 · VerifiedPrindle, A., Liu, J., Asally, M., Ly, S., Garcia-Ojalvo, J., Süel, G. M. — Ion channels enable electrical communication in bacterial communities.Source ↗
- 90 · Secondary sourceYang, C.-Y., Bialecka-Fornal, M., et al.; Süel, G. M. (UC San Diego) — Encoding membrane-potential-based memory within a microbial community.Source ↗
- 91 · VerifiedColes, P. J., Szczepanski, C., Melanson, D., Donatella, K., Martinez, A. J., Sbahi, F. — Thermodynamic AI and the fluctuation frontier.Source ↗
- 92 · Secondary sourceNormal Computing — Tape-out of CN101 thermodynamic computing chip.Source ↗
- 93 · VerifiedCai, H., et al. (Guo, F., Indiana University) — Brain organoid reservoir computing for artificial intelligence.Source ↗
- 94 · VerifiedLiu, T., Philamore, H., Ward-Cherrier, B. (University of Bristol) — Encoding Tactile Stimuli for Organoid Intelligence in Braille Recognition (FinalSpark Neuroplatform).Source ↗
- 95 · VerifiedSharma, A., Ng, T.-K. M., Parrilla Gutierrez, J. M., Yibin, J., Cronin, L. — A programmable hybrid digital-chemical information processor based on the Belousov–Zhabotinsky reaction.Source ↗
- 96 · Partially verifiedLee, R., et al.; Chou, L. Y. T. (University of Toronto) — Reusable enzyme-driven DNA building blocks for molecular machine learning.Source ↗
- 97 · VerifiedMorrell, M. C., Elliott, A., Grier, D. G. (New York University) — Nonreciprocal wave-mediated interactions power a classical time crystal.Source ↗
- 98 · VerifiedO'Connor, A., Montenegro, V., Albarelli, F., Paris, M. G. A., Bayat, A., Genoni, M. G. — Attaining Quantum Sensing Enhancement from Monitored Dissipative Time Crystals.Source ↗
- 100 · VerifiedEPFL — News item: Viazovska's sphere-packing proofs in dimensions 8 and 24 formalized in Lean by a commercial automated formalization system [developer and system name omitted].Source ↗
- 101 · Secondary sourceUnite.AI — Report: a Lean 4 proof of the bounded prime gaps (246) theorem produced by an automated prover from a human blueprint [developer and system name omitted].Source ↗
- 103 · VerifiedZhang, J., Hu, S., Lu, C., Lange, R., Clune, J. — Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents.Source ↗
- 104 · VerifiedLu, C., Lange, R., Yamada, Y., Hu, S., Foerster, J., Ha, D., Clune, J. — Towards end-to-end automation of AI research.Source ↗
- 105 · VerifiedGuess, A. M., et al. — How do social media feed algorithms affect attitudes and behavior in an election campaign?; Nyhan, B., et al. — Like-minded sources on Facebook are prevalent but not polarizing.Source ↗
- 106 · VerifiedBail, C. A., et al. — Exposure to opposing views on social media can increase political polarization.Source ↗
- 107 · VerifiedSalvi, F., Horta Ribeiro, M., Gallotti, R., West, R. — On the conversational persuasiveness of [a large language model; model name abridged from title].Source ↗
- 108 · VerifiedHackenburg, K., Tappin, B. M., Hewitt, L., et al. — The levers of political persuasion with conversational artificial intelligence.Source ↗
- 109 · VerifiedLin, H., Czarnek, G., Lewis, S., et al. (Rand, D. G.) — Persuading voters using human–artificial intelligence dialogues.Source ↗
- 110 · VerifiedKirk, H. R., Vidgen, B., Röttger, P., Hale, S. A. — The benefits, risks and bounds of personalizing the alignment of large language models to individuals.Source ↗
- 111 · VerifiedCostello, T. H., Pennycook, G., Rand, D. G. — Durably reducing conspiracy beliefs through dialogues with AI.Source ↗
- 112 · VerifiedKunz, E. M., Abramovich Krasa, B., Willett, F. R., et al. (Stanford) — Inner speech in motor cortex and implications for speech neuroprostheses.Source ↗
- 113 · VerifiedKaifosh, P., Reardon, T. R., et al. — A generic non-invasive neuromotor interface for human-computer interaction.Source ↗
- 114 · VerifiedCard, N. S., et al. — An Accurate and Rapidly Calibrating Speech Neuroprosthesis.Source ↗
- 115 · Secondary sourceCard, N. S., Singer-Clark, T., Peracha, H., et al. — Long-term independent use of an intracortical brain–computer interface for speech and cursor control.Source ↗
- 116 · VerifiedSalazar-Gomez, A. F., DelPreto, J., Gil, S., Guenther, F. H., Rus, D. — Correcting robot mistakes in real time using EEG signals.Source ↗
- 117 · VerifiedLévy, J., Rapin, J., Banville, H., et al. — Brain-to-Text Decoding: A Non-invasive Approach via Typing.Source ↗
- 118 · Partially verifiedTang, J., LeBel, A., Jain, S., Huth, A. G. — Semantic reconstruction of continuous language from non-invasive brain recordings.Source ↗
- 119 · Secondary sourceHorikawa, T. (NTT Communication Science Laboratories) — Mind captioning: generating descriptive text from brain activity.Source ↗
- 120 · VerifiedJiang, L., Stocco, A., Losey, D. M., Abernethy, J. A., Prat, C. S., Rao, R. P. N. — BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains.Source ↗
- 121 · VerifiedDikker, S., et al. — Brain-to-Brain Synchrony Tracks Real-World Dynamic Group Interactions in the Classroom.Source ↗
- 122 · VerifiedRéveillé, C., Vergotte, G., Perrey, S., Bosselut, G. — Using interbrain synchrony to study teamwork: A systematic review and meta-analysis.Source ↗
- 123 · Secondary sourceBrosler, S. C., … Chang, E. F. (UCSF) — Simultaneous speech and gesture decoding for multimodal communication in paralysis.Source ↗
- 124 · VerifiedCogitate Consortium (Melloni, L., Mudrik, L., Pitts, M., et al.) — Adversarial testing of global neuronal workspace and integrated information theories of consciousness.Source ↗
- 125 · VerifiedMarra, G., et al. (National Physical Laboratory) — Optical interferometry-based array of seafloor environmental sensors using a trans-oceanic submarine cable.Source ↗
- 126 · VerifiedAllen, R. M., Barski, M., Berman, D., et al. — Global earthquake detection and warning using smartphones [title paraphrased to omit a product name].Source ↗
- 127 · VerifiedHutchison, C. A., et al. — Design and synthesis of a minimal bacterial genome.Source ↗
- 128 · VerifiedPelletier, J. F., et al. — Genetic requirements for cell division in a genomically minimal cell.Source ↗
- 129 · VerifiedHuang, H.-Y., Broughton, M., Cotler, J., et al. — Quantum advantage in learning from experiments.Source ↗
- 130 · VerifiedQu, D., Lin, Q., Xiao, L., Zhan, X., Xue, P. — Experimental violation of a Bell-like causal inequality in a photonic quantum switch.Source ↗
- 131 · VerifiedRichter, C. M. D., Antesberger, M., Cao, H., Walther, P., Rozema, L. A. — Toward an experimental device-independent verification of indefinite causal order.Source ↗
- 132 · VerifiedVanRullen, R. — Perceptual Cycles.Source ↗
- 133 · VerifiedBabcock, N. S., et al. (Kurian, P., Howard University; Chergui, M., EPFL) — Ultraviolet Superradiance from Mega-Networks of Tryptophan in Biological Architectures.Source ↗
- 134 · VerifiedPatwa, H., Babcock, N. S., Kurian, P. — Quantum-enhanced photoprotection in neuroprotein architectures emerges from collective light–matter interactions.Source ↗
- 135 · VerifiedKurian, P. — Room-temperature superradiance from quantum optical networks in protein fibers (invited talk; superradiant lifetimes of no more than a few picoseconds).Source ↗
- 136 · VerifiedKhan, S., et al.; Wiest, M. C. (Wellesley College) — Microtubule-Stabilizer Epothilone B Delays Anesthetic-Induced Unconsciousness in Rats.Source ↗
- 137 · VerifiedTegmark, M. — Importance of quantum decoherence in brain processes.Source ↗
- 138 · VerifiedShwartz-Ziv, R., Tishby, N. — Opening the Black Box of Deep Neural Networks via Information.Source ↗
- 139 · VerifiedSaxe, A. M., et al. — On the information bottleneck theory of deep learning.Source ↗
- 140 · VerifiedGündüz, D., Qin, Z., Estella Aguerri, I., et al. — Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications.Source ↗