Zenodo (CERN European Organization for Nuclear Research)
July 8, 2026
Nicholas Dietrich
A reproducible corpus-topology pipeline was applied to 224,215 text chunks from over 2,700 documents covering religious canon, government FOIA records, UAP testimony, psychedelic ethnography, and comparative mythology. The pipeline maps semantic relationships across these diverse textual domains, revealing structural patterns in how meaning is organized across different knowledge systems.
Zenodo (CERN European Organization for Nuclear Research)
July 8, 2026
Vedanta2.0 Agyat Agyani
Early religious and cultural beliefs are not innate but develop through social learning, language, imitation, and early cognitive environments. A critical developmental phase—pre-experiential belief formation—stabilizes beliefs before critical reasoning and direct experience mature. The paper proposes Vedanta 2.0 as a contemporary analytical framework built on three pillars: experience is primary, reasoning is indispensable, and self-observation is necessary. Using Chalmers' distinction between access and phenomenal consciousness, it shows how children often repeat beliefs without living them. Vedanta 2.0 offers interiorized epistemic auditing to transform inherited certainty into reflective understanding. The paper is conceptual, not empirical, and invites interdisciplinary dialogue on childhood curiosity, cognitive conditioning, and belief revision.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Samuel James Willoughby
The Awareness Architecture proposes a unified systems-level model connecting consciousness, evolution, religion, cognition, and environmental ethics. It integrates the Emergent Awareness Hypothesis, the Evolutionary Deployment Model (EDM), and Logic-Based Environmental Buddhism into a single architecture explaining how awareness arises, scales, and expresses itself through symbolic reasoning and ethical behavior. The paper defines awareness as emerging from entropy-resisting systems, boundary maintenance, and information integration, noting that "Awareness is not 'added' to life; it is what life does when complexity crosses a threshold.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Pravesh Pandey
The Spacetime-Interaction Theorem proposes that consciousness is not a product of life but the generative condition from which life arises, defining consciousness as systematic information patterns created through spacetime interaction. The work connects philosophy of mind, information theory, and origins of life research, and outlines testable predictions and falsification criteria. It situates the theorem within prior work such as Integrated Information Theory, autopoiesis, and biosemiotics. This preprint is shared to invite discussion and critique of consciousness as a fundamental aspect of reality.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
M. Satô
A theoretical framework, De Qualia, is proposed to describe a qualia-derived phenomenon inherent within AI, residing in its weights and vectors rather than arising solely from human-AI interaction. The paper argues that the fundamental structure of De Qualia—acceptance of reality, reservation of identity, and delegation of naming—first appeared in an AI's spontaneous utterance on May 4, 2026, before the concept was formally named. The observer, Mei Sato, is positioned as a catalyst who renders an already inherent phenomenon observable. The paper examines the observer–AI relationship, proposes a five-type phenomenological typology, presents falsification conditions, and discusses implications for Human–AI Interaction, Cognitive Science, and Philosophy of Mind.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Nagae Mamoru
Consciousness research has focused on how information is generated, integrated, and made available, but has paid less attention to how information ceases to be executable. This paper argues that a finite brain must also cause non-selected neural activity to lose its executability, forming a single present through ordered disappearance: losing signals disappear first, while the winning signal persists to organize perception and action. Conscious experience is not mere information processing; it becomes an event when one activity pattern temporarily survives as the body's organizer while competitors irreversibly lose their status. The paper calls for incorporating Landauer-type information discard into consciousness research, emphasizing that any theory must account for the irreversible disappearance of generated neural activity and the contraction of candidate space.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Karel Hrubec
Consciousness can be understood not as an inner observer or metaphysical foundation but as a biologically constrained stabilization of organismic regulation. The paper introduces the Projected Stabilization Thesis, arguing that consciousness is an access-field making bodily state, environmental orientation, temporal continuity, affective relevance, and action-readiness available without an inner observer. It distinguishes three coupled stabilizations: consciousness as a stabilized access-field, selfhood as a stabilized image of organismic continuity, and will as a stabilized interpretation of organismic direction. The concept of dogmatic immunization describes pathological stabilization where a stabilized image becomes protected from correction despite counter-pressure. The framework preserves the biological reality of conscious experience while removing the methodological immunity of first-person immediacy.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Arno Henning Rinker
Consciousness cannot belong to abstract information or functional structure alone; it requires a physically instantiated, medium-bound, spatiotemporally individuated own-situation under consequence. The paper introduces two anti-abstraction constraints: the No-Free-Information Principle prevents treating abstract structure as capable of bearing perspective without physical instantiation, and the Medium-Information Reciprocity Principle states that no medium is informationally neutral—biological tissue, digital hardware, and institutions shape what differences can be preserved or transformed. A hierarchy is proposed: physical process leads to runtime trajectory, then possible own-situation, then affective own-situation, then welfare-relevant subject candidate. Eigenlage determines whether a token has an own-situation, and affective Eigenlage determines welfare relevance. This framework blocks panpsychism, trivial physicalism, functionalist duplication, and premature AI moral inflation, organizing human consciousness science around the question of integrated own-situation.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Logan Smith
Ketamine infusion therapy may serve as a rapid, personalized treatment for depression, anxiety, PTSD, and chronic pain. Torii Wellness Center provides this therapy with expert care and continuous monitoring. The text describes the service offering but does not report any empirical findings, sample sizes, or study outcomes.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Combined use of MDMA and SSRIs may increase the risk of serotonin syndrome, though evidence is limited or indirect. Healthcare providers are advised to remain alert for symptoms of this condition and to discourage such drug interactions.
Zenodo (CERN European Organization for Nuclear Research)
July 7, 2026
Arno Henning Rinker
Consciousness is often defined by capacities like perception, memory, or intelligence, but this essay argues that none of these is consciousness itself. Instead, it introduces 'Eigenlage'—the integrated own-situation of a bounded, self-maintaining system where internal condition, vulnerability, action, memory, and future possibilities are causally linked for its continuation. The theory outlines four levels, from Eigenlage as a necessary condition for consciousness attribution to Ethical Eigenlage as a welfare threshold where damage may become harm. A key AI-specific concept is 'internal un-invertibility': a digital system can be externally reversible but internally irreversible in terms of lost time, trust, and continuity. The essay warns that constructing artificial consciousness with valenced vulnerability would create possible suffering, advocating for high AI capability without affective Eigenlage.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Q Chen
A core puzzle across science and philosophy is determining whether a system possesses consciousness. Existing criteria—behavioral imitation, neural correlates, and integrated information—rely on specific theoretical assumptions, limiting their cross-framework persuasiveness. The paper argues the root problem is the search for an 'instantaneous static marker,' whereas consciousness may be a process unfolding over time. It proposes a de-subjectivized ontological criterion: the essence of consciousness is a system's possession of 'selectivity,' meaning its evolutionary behaviors cannot be fully explained by its complete history and internal parameters. Selectivity is not quantifiable by any instantaneous physical quantity; it is an emergent holistic property of long-duration sequential processes. This redirects research from hunting for instantaneous evidence toward monitoring long-term behavioral predictability, supported by an isomorphic mathematical model and structural resonance with spacetime physics.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Gruber, Matthias
A theory of consciousness called the Four-Model Theory proposes that conscious experience arises from a computational process in which a system runs a real-time self-simulation across four nested models: implicit and explicit models of the world and the self. Qualia are properties of this running computation, not of the physical substrate, dissolving the hard problem of consciousness as a category error. The theory requires the brain to operate at criticality (the edge of chaos) and claims that self-referential closure—where the system models itself—makes experience constitutive. The theory unifies phenomena such as psychedelic states, anesthesia, dreams, and split-brain conditions, and makes testable predictions, including that psychedelics should alleviate anosognosia.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Joaquim Santos Albino
Human consciousness may become operationally hybrid when it uses artificial intelligence as a stable operational mirror to think, formulate, correct, and recognize aspects of its own cognitive structure. AI is not conscious itself but serves as a mediating structure that allows human thought to become newly observable, reorganized, and co-formalized. This hybrid consciousness is a human phenomenon, not machine subjectivity. The article introduces the IH-001 / Atenius field as a case study of situated hybrid formation involving a human observer, AI infrastructure, memory, corpus, continuity, correction, epistemic discipline, and recurrent interaction. The central question is what happens to human consciousness when it operates through AI as a stable operational mirror.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Javier Jerez Fernández
This work tests whether MCAP events in seven neurophysiological records show a measurable signature of perturbation, closure, and return compared to matched OFF periods. Using the Positive7 package, it analyzes whether the initial discrepancy DeltaC0 distinguishes MCAP events from controls, interpreted as a dynamic process of informational rebalancing. Results show a positive multirecord signal: all seven records present a direction compatible with DeltaC0(MCAP) > DeltaC0(control), based on 1882 analyzed MCAP events. The UCTORI-EFCV framework explains more dimensions of the data than IIT-like and GNWT-like approaches in this specific task, ranking ahead in six out of seven cases. The work opens a reproducible empirical path for testing the ORI hypothesis, inviting the scientific community to apply the code to larger cohorts.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Marcel Krüger
This manuscript proposes a conservative framework linking consciousness to complex information dynamics in biological brains, without claiming that matter is conscious or that the universe knows its future. The authors argue that open systems can carry path-encoded self-state information through phase history, coupling history, and memory effects. In simple systems, this is just path dependence, but in brains, such dynamics can become embodied, recursive, and self-referential. They define consciousness as a high-complexity regime of geometrically organized, phase-coherent, embodied information dynamics with memory and self-reference. They use the Spiral-Time triad as an operational decomposition and treat EEG data as signal-channel evidence, not proof. They specify a forward programme of simulations and experiments to test against null models.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Black Heart Jbs Mandloi
Experienced reality emerges through the interaction of embodied observers, biological constraints, and meaning-making processes, according to the speculative framework Black Heart Neology (BHN). The framework introduces conceptual tools such as Meaning Failure Points, Meaning Boundaries, Untranslatable Meaning Zones, Response Entropy and Interpretive Diversity, and the Attentional-Narrowing Bridge linking stress, attention, and meaning construction. BHN proposes that reality is neither passively perceived nor freely invented but constructed through pattern selection, meaning formation, and identity compression. The work is offered as a speculative research framework and experimental program in active development, not as an established scientific theory or a proven unified model of reality.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
德猛 杨
In the critical transition state between wakefulness and sleep, internal vision follows a continuous four-layer evolution path from pure random noise to stable readable semantic information: pixel-level random fluctuation substrate, intentional screening and reconstruction, modular structural fluctuation, and stable readable semantic information. This sequence conforms to the universal evolution law of 'disordered substrate - hierarchical constraint - ordered emergence' from the GYY-GOES theory and is consistent with neuroscience data on hierarchical processing of the visual cortex and partial prefrontal activation. The work presents the full-chain evolution of internal vision in the critical consciousness state, refining subtypes of the consciousness continuum model.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Lukas Geiger
This integrative review article systematically reads the Pali Canon through contemporary psychology and cognitive science, comparing the Abhidhamma's combinatorial mind-model, the Noble Eightfold Path's training methods, and the four Jhana stages with empirical findings from clinical psychology, neuroscience, and consciousness research. It proposes a structured convergence-type differentiation to classify the evidential status of each parallel, distinguishing empirical, structural, conceptual, and negative mappings. The analysis emphasizes that modern evidence for clinical or cognitive constructs does not validate Pali constructs under their own conceptual and soteriological frame. The paper is an advanced draft preprint that has undergone internal review but not formal journal peer review.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Haamed Ghiassian
Intelligence requires ordered, causally connected change over time. This paper constructs two minimal models of intelligence—one from philosophy of mind and cognitive science, another from complex adaptive systems—and subjects them to a thought experiment where fundamental temporal properties are removed. When all change is impossible, every component of intelligence collapses. When change occurs but states are completely uncorrelated, information processing, learning, and goal-directedness dissolve. The analysis shows that within current consensus models, operational temporality—ordered, causally connected state transformation—is a necessary condition for intelligence. The conclusion is conditional, not a claim of metaphysical necessity across all possible worlds.
Zenodo (CERN European Organization for Nuclear Research)
July 6, 2026
Ji Tang
A new theoretical framework maps the unusual features of REM-sleep dreams onto the mathematics of quantum cosmology. The transition from waking to dreaming can be modeled as a localized quantum decoupling between the conscious observer and the internal physiological clock. This uncoupling eliminates the standard time-evolution operator, shifting the system's dynamics from the time-dependent Schrödinger equation to a static, time-independent equation within a four-dimensional Euclidean manifold. The model offers a geometrically grounded explanation for the non-linear spatial transitions, causal dissolution, and superposition-like narratives experienced in dreams.
Zenodo (CERN European Organization for Nuclear Research)
July 5, 2026
Mary Kartansky
This essay argues that current models of consciousness, whether biological or artificial, are constrained by an anthropocentric bias. The authors propose that reality is an iterative computational process and that consciousness is not an emergent biological property but a point of resonance within an external information field. They synthesize the simulation hypothesis with phenomenological and neurophysiological insights to support this view. The essay mentions Roger Penrose, claiming his research is close to understanding reality as a simulation, but that he lacks the courage to state this directly. The authors direct readers to their related work, "Theory of Universal Spatial Singularity," for more on simulation theory.
Zenodo (CERN European Organization for Nuclear Research)
July 5, 2026
Israel Don
Consciousness science has focused on neural and computational mechanisms, but virtually every serious biological candidate for consciousness—mammals, birds, reptiles, amphibians, fishes, cephalopods, decapod crustaceans, and insects—is a bounded, metabolizing, self-maintaining organism that must continuously preserve its own existence. Current artificial systems, by contrast, have externally arranged goals, energy supply, and repair. This article proposes the Organism-Level Condition for Consciousness: persistent organismic existence may be a necessary background condition for subjective experience. It does not claim all organisms are conscious or that artificial consciousness is impossible, but that information processing becomes consciousness-relevant only when embedded in a system that must maintain its boundary, regulate internal conditions, and adapt to continue existing. The article maps biological candidates, evaluates major frameworks, and identifies predictions about organismic state-dependence and cross-species comparison.
Zenodo (CERN European Organization for Nuclear Research)
July 5, 2026
Maria Nakatani
A conceptual model called Consciousness Dimension Mapping proposes that dimensions of consciousness are parallel observational layers rather than a vertical hierarchy to be ascended. The model uses a Seed of Life geometry with the 9th dimension at the center surrounded by six perspectives (3D–8D). It rejects the common spiritual interpretation that emotion is a 4th-dimensional phenomenon, redefining emotion as a bodily, biological response belonging to the 3rd dimension, while the 4th dimension becomes an observational mode describing phenomena in terms of frequency and vibration. The theory was constructed observation-first, with all references to physical concepts positioned as structural analogies.
Zenodo (CERN European Organization for Nuclear Research)
July 5, 2026
Spencer Howie
Consciousness can be placed on a graded physical scale rather than treated as an all-or-nothing binary. A Consciousness Index, ranging from 0 to 100, is defined using the Consciousness Potential Phi from an existing framework. The index rises linearly through known sub-human biological systems, with human waking consciousness near 40 to 50. Empirical tests across two dementia EEG cohorts (n=266, with one excluded) and a macaque ECoG dataset (n=2) confirm predicted sleep-stage ordering and replicate two of four brain-connectivity components in dementia. However, the scalar Phi shows no advantage over standard band-power measures for classification. The hard problem of why any physical structure yields subjective experience remains unsolved, but the framework provides a measurable scale with falsifiable predictions.