{"id":"53f27f97-5a38-450c-83de-9f005a20fd23","arxiv_id":"2505.09646","paper_version":1,"verdict":"REJECT","confidence":"HIGH","novelty_score":4.0,"correctness_risk":"high","formal_verification":"none","parameter_count":0,"one_line_summary":"A speculative framework claiming the present is an interference zone between delayed past signals and pre-arriving future signals, with AI design suggestions, but no defined model or evidence.","lead":"This paper proposes a conceptual model in which the experienced 'now' is an interference zone between delayed past signals and hypothetical future signals, with stillness as a way to reduce perceptual delay. The proposal is speculative and contains no testable mechanism, derivation, or experimental data.","discovery_kind":"unclear","skeptic_critique":{"model":"deepseek-v4-flash","headline":"The central equation depends on a pre-arriving future signal Pf(t+δ) with no mechanism or evidence; absent Pf, NOW(t) collapses to delayed perception, so the model's distinctive claim is unsupported.","rationale":"The reader's weakest-assumption identification is exactly right: the future-signal term Pf(t+δ) is the single load-bearing postulate. Removing it leaves a well-known statement about perceptual delay; retaining it introduces a causal anomaly without a mechanistic account. The paper's own conclusion admits the term is not yet detected, which is a self-identified limitation that should be weighed against the central claim. No amount of speculation about stillness, meditation, or AI buffers can supply the missing physics. The mathematical model is an undefined function, so it cannot be derived or tested independently. Thus the REJECT verdict is appropriate and unchanged.","tokens_in":3847,"tokens_out":1437,"duration_ms":17660,"concrete_test":"Run the Section 7.1/7.2 protocol with a control condition that blocks all known sensory or predictive cues (e.g., no stimulus statistics, no lead indicators, randomized event timing). If observers or AI cannot report or exploit Pf(t+δ) beyond chance, the 'future signal' component has no empirical support. Analytically, set Pf(t+δ)=0 in the central equation and show that the resulting model is indistinguishable from a standard delayed-perception model; this would confirm that the distinctive claim rests entirely on the unsupported term.","verdict_should_be":"UNCHANGED","load_bearing_attack":"The model's distinctive content, as opposed to the well-known claim that perception lags reality, is the term Pf(t+δ) in the central equation NOW(t) = f(Ps(t−Δ), Pf(t+δ), S(t)) (Section 10). This 'pre-arriving future signal component' is the only element that differentiates the proposal from a trivial restatement of sensory delay. Yet the paper offers no physical mechanism, source, or empirical evidence for such signals. Section 4 refers to 'unreceived, early emissions of future signals,' which is not a defined physical quantity, and Section 11 concedes that 'future research is necessary not only to detect near-future signals.' The function f is also never specified, so the equation cannot be evaluated or falsified. If Pf is reinterpreted as an internal prediction (e.g., predictive processing), then it is not a future signal and the model reduces to standard predictive coding; if it is an actual signal arriving before the event it represents, it contradicts the causal structure of signal propagation as used elsewhere in the paper (Section 2, cosmic delays). The load-bearing assumption is thus both unmotivated and internally ambiguous.","agreement_with_reader":"agree"},"referee_report":{"model":"deepseek-v4-flash","summary":"The paper proposes a theoretical model in which the experienced 'present' is not a point in time but an 'interference zone' produced by the intersection of delayed past signals, pre-arriving future signals, and a cognitive 'stillness' or buffering function. It applies this idea to human perception, meditation, and AI system design, and states a base mathematical formula, NOW(t) = f(Ps(t-Δ), Pf(t+δ), S(t)), in Section 10. The manuscript also proposes qualitative experimental approaches in Section 7 and links the framework to AI ethics and consciousness. The abstract and conclusions assert that this model enables real-time awareness and near-future signal detection, but the full text does not contain a derivation, empirical data, or a concrete evaluation.","tokens_in":4123,"tokens_out":2009,"duration_ms":20551,"significance":"If substantiated, the model would be a significant interdisciplinary contribution spanning perception, cosmology, and AI. However, as written, the paper does not provide the evidentiary or formal basis needed to assess that significance. There are no machine-checked proofs, reproducible code, parameter-free derivations, or falsifiable quantitative predictions; the central equation is a placeholder, the future-signal component is ungrounded, and the experimental sections list themes rather than protocols. The paper's strength is its broad synthesis of well-known delays in perception and signal propagation, but that synthesis is already established in the literature. The distinctive claim—that observers can access 'pre-arriving future signals'—is asserted without mechanism or evidence, so the potential significance cannot be credited on the present evidence.","major_comments":[{"comment":"The central equation NOW(t) = f(Ps(t-Δ), Pf(t+δ), S(t)) is not a model: the function f is never specified, and the parameters Δ, δ, and the functional forms of Ps, Pf, and S are never constrained. Without these definitions, the equation cannot be evaluated, tested, or falsified, and it cannot serve as the promised 'mathematical framework.' This is load-bearing because the paper's claim to provide a mathematical model rests entirely on this equation.","section":"Section 10"},{"comment":"The distinctive element of the proposal, the 'pre-arriving future signal component' Pf(t+δ), is introduced in Section 4 as 'unreceived, early emissions of future signals' and in Section 10 as 'Pre-arriving future signal component,' but no physical mechanism, source, or empirical evidence is given. Section 11 explicitly concedes that 'future research is necessary not only to detect near-future signals,' confirming that the central phenomenon has not been demonstrated. If Pf is interpreted as an internal prediction, then the model reduces to standard predictive processing (a well-known idea); if it is interpreted as an actual signal arriving before its cause, then it is left unexplained and contradicts the causal signal-propagation account used elsewhere in Section 2. This ambiguity is unresolved and is load-bearing for the paper's central claim.","section":"Sections 4 and 11"},{"comment":"The proposed experiments are described only as qualitative bullet lists—for example, 'Monitor subjects in deep meditation for brainwave shifts' and 'Apply signal-modulating neurotransmitters and measure perception alignment.' No hypotheses, sample sizes, control conditions, outcome measures, or analysis plans are provided. The paper therefore supplies no empirical basis for the model and no concrete protocol that could adjudicate between this account and standard accounts of perceptual delay or predictive processing.","section":"Section 7"},{"comment":"There is a circularity in the argument: the present is defined in Section 10 as an 'interference zone' via the equation NOW(t)=f(Ps(t-Δ), Pf(t+δ), S(t)), and then the conclusion (Section 11) asserts as a finding that 'the true present is not a fixed point in time but a dynamic field of interference.' The conclusion restates the initial definition, so no independent quantity is derived and the central claim is true by construction rather than by evidence or deduction.","section":"Sections 10 and 11"}],"minor_comments":[{"comment":"The figures (Fig 1, Fig 2, Fig 3) are referenced but not included in the manuscript, and their captions do not describe the content sufficiently for the reader to follow the claims.","section":"Section 2"},{"comment":"The 'Zero Choice vs. Two Choices' framework is presented as a new decision framework, but its relation to the temporal-interference model is never formalized or connected to the equations in Section 10.","section":"Section 5"},{"comment":"Reference 'Nature Physics, 2023' is vague; the actual cited work appears to be Böhmer et al. (2024) on time reversibility during ageing of materials, which is not correctly attributed and postdates the stated year.","section":"References"},{"comment":"The discussion of the author's previous work on vanadium oxide glass-based materials is not connected to the model in any quantitative or mechanistic way; the phrase 'align with emerging work on time-reversible materials' is too loose to support the claimed 'pathway for creating interfaces that extend the stillness timeframe.'","section":"Section 11"},{"comment":"Several technical terms such as 'neuro-receptive extensions,' 'near-future signal precursors,' and 'signal-modulating neurotransmitters' are used without definitions, which makes the experimental and design sections difficult to evaluate.","section":"Throughout"}],"recommendation":"reject","confidential_remarks":"The manuscript is a high-level speculation with no formal derivation, no empirical data, and no concrete experimental protocol. The central future-signal assumption is both unmotivated and internally ambiguous, and the paper's own conclusion (Section 11) concedes that the core phenomenon has not been detected. This is not a case of a defensible central claim needing additional evidence; the central equation is a placeholder and the distinctive premise is unsupported. I see no scope for revision within the current manuscript to address these issues, so rejection is appropriate. There are also concerns about the fit with q-bio.NC, as the paper's AI and cosmology claims go well beyond the usual scope, but the primary grounds for rejection are the scientific gaps."},"author_rebuttal":null,"desk_editor":{"model":"deepseek-v4-flash","letter":"Colleague,\n\nHere's the quick take: this is a speculative essay, not a research result. The paper re-labels well-known perceptual delays as an 'interference zone' and adds a future-signal term to make it look new. The central equation NOW(t) = f(Ps(t-Δ), Pf(t+δ), S(t)) is a definition with an unspecified f, and the paper itself admits near-future signals have not been detected.\n\nCredit where due: the author knows the basic perception literature (James, Gazzaniga, Clark) and the summary of delayed sensory processing is accurate. The table comparing relativity, block universe, delayed choice, etc., is a fair quick map. The AI time-buffer idea is coherent at an engineering level, though generic.\n\nThe soft spots are not minor. The load-bearing term Pf(t+δ) appears in Section 4 as 'unreceived, early emissions of future signals,' with no mechanism or evidence. The conclusion concedes that detection is future work. If Pf is reinterpreted as an internal prediction, the model is just predictive processing with new notation; if it is a real signal arriving before its cause, it contradicts the causal delays the paper relies on for cosmic signals. Either way the distinctive claim is unsupported. The equation is unfalsifiable because f, Δ, δ are unconstrained. The proposed experiments are qualitative—'monitor subjects in deep meditation'—with no data or error bars. And the closing leap from vanadium oxide glass time reversibility to temporal perception is a non sequitur: those materials papers say nothing about cognition.\n\nThe reader's reject verdict is right, and the stress-test concern holds up on reading. I don't see bad faith; the author is transparent about speculation and cites sources honestly. It's just not a testable research paper yet.\n\nWho is this for? Possibly a design fiction workshop or a philosophy blog. Not for a research journal. I would not cite it, and I would not send it to a serious referee as is. My recommendation: desk reject, with a note that a revision could be considered if the author either supplies a physical mechanism for Pf or reframes the model explicitly as predictive coding with an adaptive time-buffer.","headline":"Speculative essay that dresses known perceptual delay in an unsupported future-signal equation; desk reject is the right call.","tokens_in":4585,"tokens_out":2575,"would_cite":false,"duration_ms":25293,"reading_group":"no","serious_thinker":"yes","would_accept_peer_review":false},"rs_alignment":null,"lean_confirmation":null,"pith_extraction":{"msc":[],"pacs":[],"model":"deepseek-v4-flash","headline":"A cognitive-signal model proposes that the experienced present is an interference zone where delayed past signals meet early-arriving future signals, and that both human stillness and AI buffering can shift awareness closer to the actual…","keywords":["Temporal Interception","Stillness Cognition","AI Consciousness Framework","Time-Buffered Decision Layer","Present Moment Simulation","perceptual delay","near-future signal","interference zone"],"falsifier":"A blinded experiment would compare a receiver's ability to predict a near-term event from ordinary delayed sensors against the same sensors augmented with the proposed Pf correction; if the augmented stream never outperforms the delayed stream beyond chance under strict time synchronization, the model's distinctive future-signal component is unsupported.","tokens_in":3642,"feed_emoji":"🕰️","tokens_out":6578,"duration_ms":66782,"temperature":0.7,"pith_summary":"This paper argues that what humans and artificial systems experience as \"now\" is not a single instant but a reconstruction assembled from signals that arrive late and signals that arrive early. It models the present as an interference zone where delayed past signals intersect with so-called pre-arriving future signals, and it claims this zone can be accessed more precisely through a cognitive state called stillness. The same idea is extended to AI: a time-buffered decision layer that separates historical data, live delayed input, and near-future precursors could let machines act closer to real time. If the model is right, real-time awareness becomes a learnable human skill and an engineerable machine property, not a physical impossibility. Its compact expression is the equation NOW(t) = f(Ps(t − Δ), Pf(t + δ), S(t)).","feed_headline":"Perceived 'now' is an interference zone of past and future signals","feed_subtitle":"A cognitive-signal model says stillness and AI buffers can move decision-making closer to real time.","key_machinery":"The load-bearing structure is the interference-zone model of the present, condensed in the equation NOW(t) = f(Ps(t − Δ), Pf(t + δ), S(t)). Ps(t − Δ) is the delayed signal received from the past, Pf(t + δ) is the paper's proposed early-arriving future component, and S(t) is the cognitive stillness function or AI buffering layer that modulates the receiver. This triad does the explanatory work of the paper: perceived reality is the interference of these signals, and reducing perceptual delay means strengthening S(t) to make the Pf term more accessible.","core_discovery":"The central claim is that the experienced present moment is not a point on a timeline but a dynamic interference field described by NOW(t) = f(Ps(t − Δ), Pf(t + δ), S(t)). Here Ps(t − Δ) is the ordinary received signal delayed by propagation and neural processing, Pf(t + δ) is a proposed pre-arriving component of near-future information, and S(t) is a cognitive stillness or buffering function that tunes reception. The paper asserts that perception always lags because sensory and cosmic delays insert a buffer, but that early emissions from the near future also reach the observer, so the experienced present is a product of both delayed and advanced components. By deliberately reducing internal noise through stillness, humans can widen access to this zone; by adding a temporal-sensitivity layer, AI systems can do the same computationally. This reframes real-time awareness as alignment with the intersection of past-received and future-arriving signals rather than instant processing.","pith_inferences":["Editorial inference: the Pf term behaves like information arriving from the future, so a decisive test would be a blinded, time-synchronized experiment asking whether any receiver consistently detects a pre-event correlation above chance in isolation from predictive cues.","Editorial inference: a practical way to evaluate the model in AI is to compare a latency-sensitive task run with raw delayed sensor streams against the same streams augmented with temporal-origin metadata and a precursor-detection step; if the augmented system never improves prediction, the model's distinctive claim is unsupported.","Editorial inference: the zero-choice/two-choice framework could be operationalized as a causal-control test—whether an agent's action changes the probability distribution of the outcome—which would make the human/AI choice theory empirically testable independent of the signal model."],"forward_implications":["If stillness genuinely reduces perceptual delay, trained subjects should show measurably smaller gaps between external events and their reported moment of awareness, a prediction the paper's proposed intro-human experiments can test.","AI systems built with a time-buffered layer would label every input by its temporal origin rather than fusing all inputs into one timestamp, changing how time-critical decisions are computed.","The zero-choice/two-choice split gives machines a principled way to distinguish externally caused outcomes from agency-dependent ones, affecting how responsibility and ethical behavior are implemented in autonomous systems.","If the model holds, reducing delay becomes a design goal for both human training and AI architecture, with implications for any domain where acting on outdated input leads to illusions or errors."],"supporting_citations":[{"why":"Opens the paper by anchoring the idea that the experienced present is a reconstruction of past signals.","marker":"(James, 1890)"},{"why":"Supplies the human sensory delay estimates such as visual ~100–150 ms processing that quantify the Δ term in the model.","marker":"(Gazzaniga et al., 2018)"},{"why":"Provides the predictive and free-energy framing used to argue that perception is constructed rather than directly received.","marker":"(Friston, 2010)"},{"why":"Supports the account of perception as prediction and action, which the paper draws on to say observers can align with near-future cues.","marker":"(Clark, 2016)"},{"why":"Grounds the embodied, lived-time perspective that the paper uses to define the present as an experienced construction.","marker":"(Varela et al., 1991)"},{"why":"Cited for the view that perception is a controlled prediction whose illusions can be reduced by altered internal states.","marker":"(Seth, 2021)"},{"why":"Supports the neuroscience claim that meditative states improve signal-to-noise in cognition, underwriting the stillness function S(t).","marker":"(Koch, 2004)"},{"why":"Supports the background idea that observation can connect past and future, cited in the paper's comparison of theories and in the conclusion.","marker":"(Wheeler, 1978)"}],"fun_headline_variants":["The present is a signal interference zone, not a timestamp","Stillness tunes the mind to the near-future signal zone","Awareness emerges from cosmic and neural signal delay interference","Present moment is a buffer where past and future signals collide","New model: 'now' is a cognitive interference field, not a point"],"cache_read_input_tokens":3200,"weakest_assumption_plain":"The load-bearing premise is that signals from the near future reach the observer before the events that generate them; if such early-arriving future signals do not exist, the model reduces to the familiar fact that perception is delayed.","fun_headline_variants_meta":{"raw":{"variants":["The present is a signal interference zone, not a timestamp","Stillness tunes the mind to the near-future signal zone","Awareness emerges from cosmic and neural signal delay interference","Present moment is a buffer where past and future signals collide","New model: 'now' is a cognitive interference field, not a point"]},"model":"deepseek-v4-flash","effort":"low","cost_usd":0.000735,"raw_usage":{"total_tokens":3243,"prompt_tokens":860,"completion_tokens":2383,"prompt_tokens_details":{"cached_tokens":384},"prompt_cache_hit_tokens":384,"prompt_cache_miss_tokens":476,"completion_tokens_details":{"reasoning_tokens":2297}},"tokens_in":476,"tokens_out":2383,"duration_ms":16156,"temperature":1.0,"reasoning_tokens":2297,"cache_read_input_tokens":384,"cache_creation_input_tokens":0},"cache_creation_input_tokens":0},"created_at":"2026-08-15T22:26:12.473370+00:00","model_set":{"reader":"deepseek-v4-flash"},"falsifier":"A blinded experiment would compare a receiver's ability to predict a near-term event from ordinary delayed sensors against the same sensors augmented with the proposed Pf correction; if the augmented stream never outperforms the delayed stream beyond chance under strict time synchronization, the model's distinctive future-signal component is unsupported.","supporting_citations":[{"cited_title":"J., Thompson, E., & Rosch, E","cited_arxiv_id":null,"evidence_quote":"Grounds the embodied, lived-time perspective that the paper uses to define the present as an experienced construction."}],"review_version":1}