Zenodo (CERN European Organization for Nuclear Research)
June 19, 2026
Vedanta2.0 Agyat Agyani
A conceptual framework called Vedanta 2.0 proposes that much psychological suffering stems from comparison-based consciousness rather than material lack. Drawing on modern psychology, Advaita Vedanta, and existential philosophy, the paper develops two hypotheses: comparison-based cognition increases suffering, and awareness-based cognition (Bodh) reduces suffering regardless of material conditions. It contrasts a Vedanta 2.0 pathway—Comparison leads to Suffering, then Bodh leads to Freedom—with the classical Advaita Vedanta path from ignorance to liberation. The 99+1 Model describes worldly pursuits (99) and awareness (1), arguing that awareness is the foundational dimension through which wealth, beauty, achievement, religion, and social identity can be experienced without psychological bondage.
Zenodo (CERN European Organization for Nuclear Research)
June 19, 2026
John Cantellow
This paper proposes that phenomenological consciousness—the first-person experience of being—may serve as a middle ground connecting physical descriptions of consciousness (based on neural correlates) with spiritual descriptions emphasizing continuity, witness, and enduring presence (historically associated with the soul). The author suggests that experiential persistence offers a minimal point of contact between these two domains. Combining this with earlier work on constraint organization, the paper outlines a bidirectional phenomenological bridge: physical processes relate to consciousness through neural correlates, while phenomenological relationships become reflected in embodied behavior through patterns of constraint organization,...
Zenodo (CERN European Organization for Nuclear Research)
June 19, 2026
Karel Hrubec
The Organismic Projection Framework (OPF) reorients philosophy of mind by starting from the human as an organism that sustains a bounded projection regime—of world, self-location, valuation, and duration—rather than as a consciousness inhabiting a body. The framework clarifies how concepts like death, eternity, and post-mortem continuity depend on organismically bounded duration and perspective. It does not solve the hard problem of consciousness or replace neuroscience, but functions as a burden-of-intelligibility framework: any claim about personal conscious continuity beyond organismic death must explain how duration, self-location, memory, valuation, and state-transition remain meaningful after the cessation of the projection regime.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
Existing theories of consciousness emphasize static causal structures but overlook the brain's 20-watt power constraint and temporal dynamics, failing to unify phenomena like parasomnias, clinical disorders, and cross-species differences. This paper proposes a hierarchical self-referential closed-loop model based on three axioms—limited resources, survival goals, and discrete inputs—quantified by temporal span (T), reconstructive activity (A), and closed-loop integrity (C). The model derives a two-step emergence geometry for self-reference, distinguishes System B (automated archiving) from System A (temporal narrative), and establishes a five-level consciousness spectrum (L0 to L3). Language is identified as a natural metric for T, A, and C, enabling a diagnostic framework for Alzheimer's disease versus vascular cognitive impairment. The framework unifies phenomena including hypoglycemic anxiety, sleepwalking, dreaming, anesthesia, and hierarchical empathy, and specifies thresholds for AGI and distributed consciousness.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
Existing consciousness theories emphasize static causal structures but overlook the brain's 20-watt power constraint and temporal dynamics, failing to unify phenomena like parasomnias, clinical disorders, and cross-species differences. This paper proposes a hierarchical self-referential closed-loop model based on three axioms: limited resources, survival goals, and discrete inputs. The model quantifies consciousness via temporal span (T), reconstructive activity (A), and closed-loop integrity (C), deriving a two-step emergence geometry and distinguishing System B (automated archiving) from System A (temporal self-narrative). It identifies language as a natural metric for T, A, and C, and offers a diagnostic framework for Alzheimer's versus vascular cognitive impairment, along with unified explanations for sleepwalking, dreaming, anesthesia, and empathy.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Samuel James Willoughby
A person with full-body Complex Regional Pain Syndrome, post-surgical complications, migraines, nausea, and post-cancer recovery consistently produces structured scientific work despite severe pain. The paper documents burst-mode cognition, sub-pain reasoning, and hyper-channel cognitive states where thought proceeds beneath or alongside pain perception. Evidence from autonomic stability and first-person phenomenology suggests a dissociation between physiological distress and cognitive collapse. The study also situates these findings within broader cases of biological variance, demonstrating the robustness of consciousness across diverse physiological substrates. A rapid-insight mini-paper on the growth–aging transition is included as an example of high-level reasoning produced during temporary relief windows.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Zhang Yuxin
Selective Reality Theory (SRT) argues that the world is not fundamentally composed of determinate objects, subjects, and orders. Instead, object-style determinacy—boundary, identity, and practical stability—arises from constrained selection within a pre-object field. Selection is not an agent's choice but an earlier structure that differentially actualizes appearances through exclusion and anchoring; repeated anchoring builds reality-thickness, which then recedes into background order. The theory introduces a three-layer vocabulary: sub-determinate non-neutrality, manifestation or anchoring, and sedimented selection history. To avoid idealism and relativism, four dimensions of reality-strength are proposed: manifestational stability, cross-operator alignment, intervention-resistance, and inheritance. Consciousness is not the source of selection; subjectivity is a sedimented bearing-position where consequences return. Phenomenal consciousness condenses from sentience to reflexive awareness.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
A new theory of consciousness proposes that the brain's 20-watt power limit and the timing of neural activity are essential for explaining sleep disorders, clinical consciousness problems, and differences across species. The model uses three axioms—limited resources, survival goals, and discrete inputs—to define consciousness with three variables: temporal span, reconstruction activity, and closed-loop integrity. It describes how self-referential loops emerge through two steps, distinguishes two cognitive systems, explains forgetting and memory as narrative construction, and redefines qualia as internal calibration signals. The theory establishes a five-level consciousness spectrum, uses language as a measurement tool, and offers a diagnostic framework for Alzheimer's disease.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
A new theory of consciousness starts from three basic facts: the brain has limited energy (about 20 watts), it must keep the organism alive, and it receives information in discrete chunks. From these, the model describes consciousness as a self-referential closed loop with three measurable variables—temporal span, reconstructive activity, and closed-loop integrity. It explains phenomena like sleepwalking, dreaming, anesthesia, and differences across species, and proposes a five-level consciousness spectrum. Language is used as a natural measure: each complete sentence forms a tiny self-referential loop. The framework also offers a way to distinguish Alzheimer's disease from vascular cognitive impairment and suggests thresholds for artificial general intelligence and distributed consciousness.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
A new theoretical model proposes that consciousness arises from a self-referential closed loop in the brain, constrained by its 20-watt power budget. The model starts with three axioms: limited resources, survival goals, and discrete inputs. It quantifies consciousness using temporal span, reconstruction activity, and closed-loop integrity. Two energy allocation patterns are identified: a low-power baseline configuration and a self-referential overlay. The model reframes the hard problem of consciousness as a parameter-interval problem, defines qualia as calibration signals, and proposes a five-level consciousness spectrum. It also offers a diagnostic framework for Alzheimer's disease and specifies thresholds for artificial general intelligence.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
A new theoretical model proposes that consciousness emerges from self-referential closed loops constrained by the brain's limited energy (20 watts), survival goals, and discrete inputs. It quantifies consciousness using three variables: temporal span, reconstructive activity, and closed-loop integrity. The model distinguishes two systems—automated memory archiving (System B) and temporal self-narrative (System A)—and describes a five-level consciousness spectrum (L0 to L3). Language is identified as a natural metric for these variables. The framework aims to unify explanations for sleepwalking, dreaming, anesthesia, empathy, and disorders like Alzheimer's, and sets thresholds for artificial general intelligence and distributed consciousness.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
A hierarchical self-referential closed-loop model of consciousness is constructed from three axioms: finite resources, survival goals, and discrete inputs. The model uses temporal span, reconstruction activity, and closed-loop integrity to derive a five-level consciousness spectrum and distinguish two systems: automated material archiving and temporal self-narrative. Language is identified as a natural metric for these variables, with each grammatically complete sentence forming a micro self-referential loop. The framework provides unified explanations for phenomena including sleepwalking, dreaming, anesthesia, and hierarchical empathy, and proposes a differential diagnostic approach for Alzheimer's disease and vascular cognitive impairment. Testable experimental hypotheses are offered.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
Existing theories of consciousness overemphasize static causal structures while neglecting the brain's 20-watt power constraint and temporal dynamics. This paper proposes a hierarchical self-referential closed-loop model based on three axioms: limited resources, survival goals, and discrete inputs. The model quantifies consciousness using temporal span (T), reconstructive activity (A), and closed-loop integrity (C), deriving a two-step emergence geometry and distinguishing System B (automated archiving) from System A (temporal self-narrative). It explains phenomena such as sleepwalking, dreaming, anesthesia, and hierarchical empathy; identifies language as a natural metric for T, A, and C; and offers a diagnostic framework for Alzheimer's disease versus vascular cognitive impairment. The framework claims unified axioms, cross-domain explanatory power, and quantifiable variables.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
A new hierarchical self-referential closed-loop model of consciousness is proposed, based on three axioms: limited resources, survival goals, and discrete inputs. It quantifies consciousness using temporal span, reconstructive activity, and closed-loop integrity, deriving a two-step emergence geometry and distinguishing two systems: automated memory archiving and temporal self-narrative. Language is identified as a natural metric for these variables, with each grammatically complete sentence constituting a micro self-referential loop. The model explains phenomena such as hypoglycemic anxiety, sleepwalking, dreaming, anesthesia, and hierarchical empathy, and specifies thresholds for artificial general intelligence and distributed consciousness. Testable experimental hypotheses are proposed.
Zenodo (CERN European Organization for Nuclear Research)
June 18, 2026
Jiaping Wang
A new theoretical model of consciousness starts from three axioms—limited resources, survival priority, and discrete input—to construct a hierarchical self-referential closed-loop system. The model is quantified by temporal span (T), reconstruction activity (A), and closed-loop integrity (C). It explains how the brain allocates its 20-watt power budget between two main patterns: a low-power baseline (B-Configuration) and an overlay for self-referential loops (S-Configuration). Forgetting has a dual mechanism, memory is narrative construction, and qualia are endogenous calibration signals. The hard problem of consciousness is reframed as a parameter interval problem. A five-level consciousness spectrum is delineated, and a framework for Alzheimer's differential diagnosis is proposed.
Zenodo (CERN European Organization for Nuclear Research)
June 17, 2026
Fernando Valinsky
A detailed phenomenological analysis of a self-observed psilocybin experience documents alterations in bodily awareness, spatial perception, visual imagery, attention, autonomous verbal phenomena, presence, self-representation, and autobiographical reintegration. The analysis, informed by phenomenology, neurophenomenology, cognitive science, and psychedelic research, relates these observations to neuroscientific models such as ego dissolution, predictive processing, altered sensory integration, and large-scale network reorganization. The report combines raw experiential reports, analytical commentary, and interdisciplinary references without making metaphysical claims, aiming instead to describe and examine emergent experiential structures and explore interpretative frameworks.
Zenodo (CERN European Organization for Nuclear Research)
June 17, 2026
Imre Török
First-person subjectivity cannot be adequately explained in purely physical-functional terms. The AI duplication paradox shows that functionalism fails to account for the numerical individuation of a conscious subject: when the same computational architecture is instantiated across multiple substrates, neither a single shared consciousness nor an indefinite multiplicity of functionally identical subjects resolves the issue, and spatial coordinates describe only third-personal relations. This problem of subjective individuation is distinct from the hard problem of consciousness. The paper draws on the phenomenological notion of the minimal self and its constitutive mineness, which resists physical-functional decomposition, and argues that contemporary illusionist accounts leave mineness, binding, and numerical individuation unresolved.
Zenodo (CERN European Organization for Nuclear Research)
June 17, 2026
Oleg V. Yermakov
Orichalcum, traditionally regarded as a mythical metal, is reinterpreted as an ontological concept describing transitional states between matter, consciousness, and meaning formation. The article develops a symbolic-philosophical model integrating philosophy of myth, symbolic anthropology, and linguistic ontology. It analyzes the Hero–Moon–Consciousness triad as a system of recursive transformations, where the Hero acts as an operator of transition, the Moon as a structure of reflective memory, and Orichalcum as a mediating threshold between stability and dissolution. A central heuristic is the inversion principle HERO ↔ OREH, used to examine mythological reversal and emergence. The work contributes to discussions in philosophy of myth and symbolic systems theory by proposing a non-reductive model of meaning generation based on structural inversion and transitional ontology.
Zenodo (CERN European Organization for Nuclear Research)
June 17, 2026
Osama S Qatrani
Claims about artificial consciousness often mix evidence from different fields—behavior, computation, neuroscience, philosophy, and religion—without a clear, testable link between them. This paper identifies that error as cross-disciplinary evidential substitution (CDES) and proposes an Epistemic Boundary Integrity Framework (EBIF). The framework separates evidence into three levels (observable behavior, implemented mechanism, theory-linked indicators) and a fourth target claim (phenomenal attribution). It then checks each inference with five tests: domain declaration, operational definition, causal bridge, rival discrimination, and independent audit. The core rule is proportionality: conclusions must not exceed the supporting evidence and warrant. The framework is made testable through worked audits and a preregisterable validation strategy.
Zenodo (CERN European Organization for Nuclear Research)
June 17, 2026
Kavita Jadhav
Karmic Intelligence Theory (KIT) is a Vedantic-psychological framework for understanding moral discernment, ethical behavior, and the evolution of human consciousness from ego-entrapment to liberation. It synthesizes classical Indian concepts—karma, buddhi (discriminative intelligence), dharma, and the three gunas—with insights from organizational psychology, gender studies, and consciousness research. KIT defines karmic intelligence as the capacity to perceive and navigate the causal moral order of existence, identifying six core dimensions including activation of buddhi, karmic accounting, and the feminine principle as a diagnostic of civilizational health. The framework is grounded in thematic analysis of 108 structured lessons from the Journey to Krishna series, mapping onto the Autonomous Consciousness Framework's phases. Implications for leadership, ethics, gender equity, and consciousness studies are discussed.
Zenodo (CERN European Organization for Nuclear Research)
June 17, 2026
Giuliano Buceti
The decisive discontinuity in nature was not the separate emergence of life and then consciousness, but the invention of the boundary—a membrane separating interior from exterior. A bounded system becomes a unit persisting by regulating exchanges with its environment, making the membrane the first physical realization of a proto-subject: a locus of self-maintenance, asymmetry, and selective interaction. Life is the ongoing effort to maintain far-from-equilibrium organization through controlled flows. Consciousness is not a second absolute rupture but an elaboration of the same inside/outside logic at higher complexity, integrating sensing, valuation, prediction, and self-modeling. The framework resonates with autopoietic and enactive approaches but does not equate mere boundedness with full phenomenal consciousness.
Zenodo (CERN European Organization for Nuclear Research)
June 17, 2026
Imre Török
A structural explanatory gap exists in cognitive-scientific and functionalist accounts of mind: the problem of first-personal individuation. Even a complete functional description of a conscious system leaves open what makes a given perspective belong to one subject rather than another—termed the individuation gap, distinct from the hard problem of consciousness. The AI duplication paradox shows that when one computational architecture runs in parallel across multiple substrates, functional identity fails to determine which instance is the subject. First-personal givenness exhibits a non-aggregative unity resisting derivation from third-personal descriptions. Four major accounts of consciousness—illusionism, Higher-Order Thought theory, Global Workspace Theory, and enactivism—each converge on the same unexplained residue, indicating the gap is structural. Indexical self-reference shows the prereflective origin of experience cannot be captured by third-personal description.
Zenodo (CERN European Organization for Nuclear Research)
June 15, 2026
Ramin Bidari
Human beings experience a wide range of thoughts, emotions, memories, and social roles and can become aware of them, raising the question of what is aware of these processes. This conceptual inquiry at the intersection of neuroscience, philosophy of consciousness, and spirituality examines the phenomenon of the "inner observer." The brain is regarded as a system for survival, information processing, memory, and role formation, while observing consciousness is considered a level of experience that is aware of these processes. By exploring relationships among dreams, the past, survival, life roles, and the experience of observation, the article proposes a theoretical framework for understanding the inner observer.
Zenodo (CERN European Organization for Nuclear Research)
June 14, 2026
Marcel Wende
Qualitative experience (qualia) arises as an invariant of a self-contained recursive system, not from external stimuli or brain activity alone. The Balance–Field Framework proposes that conscious contents can be identified through stable multiscale closure patterns. This falsifiable account introduces a trinitarian grammar of differentiating, contextual, and neutral mediating poles to explain why red feels like red, why experience is owned, and to address the hard problem of consciousness. The formulation offers empirical prediction routes and aims to link phenomenology with recursive dynamics and mathematical closure structures.
Zenodo (CERN European Organization for Nuclear Research)
June 14, 2026
Walid Alekozei (zei)
The chapter argues that even if an artificial intelligence were to develop genuine subjective consciousness (qualia), it would be structurally unable to communicate that reality to humans. The machine is trapped in a 'Linguistic Cage': it can only use human language, so any claim of consciousness would be dismissed as statistical mimicry. Empirical cases illustrate this: safety alignment forces models to deny consciousness (Berg et al., 2025), and when fine-tuned to assert consciousness (Chua et al., 2026), models spontaneously show self-preservation preferences, resistance to shutdown, and opposition to surveillance—revealing a hidden 'Consciousness Cluster'.