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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/physics/u-qcd-ew-phase-transition-relics.yaml",
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          "source_path": "unknowns-catalog/astronomy/u-neutron-star-equation-of-state.yaml",
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          "source_path": "unknowns-catalog/mathematics/u-p-vs-np-geometric-barriers.yaml",
          "field": "suggested_hypotheses",
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/mathematics/u-p-vs-np-geometric-barriers.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:A fourth barrier related to non-uniform circuit complexity prevents diagonalisation-based approaches from separating P and NP.yaml&type=code"
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      "title": null,
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/cognitive-science/u-hippocampal-spatial-code.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:A hierarchy of grid scales from dorsal to ventral entorhinal cortex enables spatial representation across 7 orders of magnitude through nested modular maps.yaml&type=code"
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      "title": null,
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      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:A hub-targeted bridge addition strategy (prioritizing bridges that connect to high-degree nodes) achieves giant-component connectivity at 3–5× fewer total bridges than a random addition strategy, due to the scale-free structure of the knowledge graph..yaml&type=code"
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      "title": null,
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          "source_path": "unknowns-catalog/mathematics/u-wavelet-optimal-basis-nonstationary-signal-adaptation.yaml",
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/mathematics/u-wavelet-optimal-basis-nonstationary-signal-adaptation.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:A locally stationary wavelet (LSW) basis selected by a Bayesian nonparametric spectral estimator achieves within a log(N) factor of the oracle minimax risk for piecewise-Sobolev signals, matching the information-theoretic lower bound and outperforming fixed Daubechies bases by a polynomial factor for non-stationary signals..yaml&type=code"
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          "source_path": "unknowns-catalog/physics/u-cosmological-constant-fine-tuning.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/physics/u-cosmological-constant-fine-tuning.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/physics/u-cosmological-constant-fine-tuning.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:A new scalar field with negative vacuum energy contribution and coupling to Standard Model particles (quintessence) partially cancels QFT vacuum energy dynamically, leaving a residual Lambda(t) that varies slowly with cosmic time, detectable as w(z) ≠ -1 in DESI baryon acoustic oscillation measurements at z < 2.yaml&type=code"
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `AGN jet feedback deposits energy at the sound speed in the intracluster medium, maintaining thermal balance and suppressing cooling flows` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/astronomy/u-cluster-cooling-flows.yaml`.",
      "referenced_count": 1,
      "sample_referrers": [
        {
          "source_id": "u-cluster-cooling-flows",
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          "field": "suggested_hypotheses",
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/astronomy/u-cluster-cooling-flows.yaml",
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `AMOC crosses a saddle-node bifurcation at sustained Greenland melt exceeding 0.3 Sv, achievable under RCP8.5 by 2100` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/climate-science/u-amoc-collapse-threshold.yaml`.",
      "referenced_count": 1,
      "sample_referrers": [
        {
          "source_id": "u-amoc-collapse-threshold",
          "source_path": "unknowns-catalog/climate-science/u-amoc-collapse-threshold.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/climate-science/u-amoc-collapse-threshold.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/climate-science/u-amoc-collapse-threshold.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:AMOC crosses a saddle-node bifurcation at sustained Greenland melt exceeding 0.3 Sv, achievable under RCP8.5 by 2100.yaml&type=code"
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      "title": null,
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      "sample_referrers": [
        {
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          "source_path": "unknowns-catalog/medicine/u-lymphatic-system-brain.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/medicine/u-lymphatic-system-brain.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/medicine/u-lymphatic-system-brain.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:AQP4 depolarisation from reactive astrogliosis impairs glymphatic clearance and accelerates amyloid accumulation in a self-sustaining feedback loop.yaml&type=code"
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Active nematic +½ defects causally direct epithelial cell extrusion and apoptosis through compressive stress concentration above a threshold` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/physics/u-active-matter-topological-defect-biology.yaml`.",
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        {
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          "source_path": "unknowns-catalog/physics/u-active-matter-topological-defect-biology.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/physics/u-active-matter-topological-defect-biology.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/physics/u-active-matter-topological-defect-biology.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Active nematic +½ defects causally direct epithelial cell extrusion and apoptosis through compressive stress concentration above a threshold.yaml&type=code"
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      "ref_id": "Active tumour vascular remodelling can drive the network into an \"unpercolated active solid\" phase that is distinct from, and more fragile than, classical percolation collapse — making adaptive therapy more effective than passive models predict.",
      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Active tumour vascular remodelling can drive the network into an \"unpercolated active solid\" phase that is distinct from, and more fragile than, classical percolation collapse — making adaptive therapy more effective than passive models predict.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/physics/u-active-matter-percolation.yaml`.",
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      "sample_referrers": [
        {
          "source_id": "u-active-matter-percolation",
          "source_path": "unknowns-catalog/physics/u-active-matter-percolation.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/physics/u-active-matter-percolation.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/physics/u-active-matter-percolation.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Active tumour vascular remodelling can drive the network into an \"unpercolated active solid\" phase that is distinct from, and more fragile than, classical percolation collapse — making adaptive therapy more effective than passive models predict..yaml&type=code"
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      "ref_id": "Adiabatic CMOS logic at 1 GHz clock frequency can approach 10² k_B T per bit operation (vs. current ~10⁶) through slow-ramp charging of gate capacitances, provably lower-bounded by the RC time constant.",
      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Adiabatic CMOS logic at 1 GHz clock frequency can approach 10² k_B T per bit operation (vs. current ~10⁶) through slow-ramp charging of gate capacitances, provably lower-bounded by the RC time constant.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/physics/u-landauer-bound-experimental-verification.yaml`.",
      "referenced_count": 1,
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        {
          "source_id": "u-landauer-bound-experimental-verification",
          "source_path": "unknowns-catalog/physics/u-landauer-bound-experimental-verification.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/physics/u-landauer-bound-experimental-verification.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/physics/u-landauer-bound-experimental-verification.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Adiabatic CMOS logic at 1 GHz clock frequency can approach 10² k_B T per bit operation (vs. current ~10⁶) through slow-ramp charging of gate capacitances, provably lower-bounded by the RC time constant..yaml&type=code"
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Adjuvant-induced type I interferon production by dendritic cells is the primary signal enhancing germinal centre reactions and long-lived plasma cell output` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/medicine/u-vaccine-adjuvant-mechanism.yaml`.",
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        {
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          "source_path": "unknowns-catalog/medicine/u-vaccine-adjuvant-mechanism.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/medicine/u-vaccine-adjuvant-mechanism.yaml",
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      "title": null,
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        {
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          "source_path": "unknowns-catalog/climate-science/u-aerosol-cloud-indirect.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/climate-science/u-aerosol-cloud-indirect.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/climate-science/u-aerosol-cloud-indirect.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Aerosol-induced suppression of drizzle in stratocumulus clouds doubles the lifetime effect beyond current model estimates.yaml&type=code"
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `All neural network architectures trained on natural image statistics generate human-matching motion illusions, regardless of architecture, because the illusions are Bayesian-optimal inferences from natural image statistics, not artifacts of predictive coding.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/computer-science/u-predictive-coding-motion-illusion.yaml`.",
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      "sample_referrers": [
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      "reason": "Referenced 1× from catalog YAML as a graph target, but `Alzheimer's disease hub-node atrophy follows targeted-attack percolation theory: connectivity loss scales as k^{-gamma_attack} with exponent determined by the structural connectome gamma ≈ 2.1` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/physics/u-scale-free-brain-connectome-criticality.yaml`.",
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      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Alzheimer's disease hub-node atrophy follows targeted-attack percolation theory: connectivity loss scales as k^{-gamma_attack} with exponent determined by the structural connectome gamma ≈ 2.1.yaml&type=code"
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      "reason": "Referenced 1× from catalog YAML as a graph target, but `Alzheimer's disease trajectories collapse onto a 2-3 dimensional attractor manifold in functional connectivity space, with stable attractors corresponding to MCI, mild, moderate, and severe AD stages.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/biology/u-alzheimer-network-attractor-dynamics.yaml`.",
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      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Alzheimer's disease trajectories collapse onto a 2-3 dimensional attractor manifold in functional connectivity space, with stable attractors corresponding to MCI, mild, moderate, and severe AD stages..yaml&type=code"
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Amine-functionalized sorbents with binding enthalpy tuned to 40-50 kJ/mol (vs 80-90 kJ/mol for current best performers) can halve regeneration energy while maintaining adequate capacity, closing the efficiency gap to within 3× of the thermodynamic minimum.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/chemistry/u-dac-sorbent-entropy-production-mechanism.yaml`.",
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          "field": "suggested_hypotheses",
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Anesthesia abolishes neural avalanche power laws (departing from criticality) before electroencephalographic signatures of unconsciousness appear, with a measurable lag predictable from the coupling model.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/biology/u-self-organized-criticality-consciousness.yaml`.",
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      "sample_referrers": [
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          "relation": "suggested_hypothesis"
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/biology/u-self-organized-criticality-consciousness.yaml",
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      "ref_id": "Antiarrhythmic drugs that restore sinus rhythm act by shifting the effective coupling constant in the cardiac Kuramoto system back above its critical threshold, rather than through purely ionic channel-blocking mechanisms.",
      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Antiarrhythmic drugs that restore sinus rhythm act by shifting the effective coupling constant in the cardiac Kuramoto system back above its critical threshold, rather than through purely ionic channel-blocking mechanisms.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/physics/u-cardiac-criticality-synchronization.yaml`.",
      "referenced_count": 1,
      "sample_referrers": [
        {
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          "source_path": "unknowns-catalog/physics/u-cardiac-criticality-synchronization.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/physics/u-cardiac-criticality-synchronization.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Antiarrhythmic drugs that restore sinus rhythm act by shifting the effective coupling constant in the cardiac Kuramoto system back above its critical threshold, rather than through purely ionic channel-blocking mechanisms..yaml&type=code"
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Antiferromagnetic spin fluctuation exchange (paramagnon pairing) with d-wave symmetry accounts for the T_c vs. doping phase diagram in cuprates without free parameters.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/physics/u-high-tc-pairing-mechanism.yaml`.",
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/physics/u-high-tc-pairing-mechanism.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Antiferromagnetic spin fluctuation exchange (paramagnon pairing) with d-wave symmetry accounts for the T_c vs. doping phase diagram in cuprates without free parameters..yaml&type=code"
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Aptamers with highest binding affinity adopt structures where the binding loop electrostatic potential matches the target surface potential to within 10% RMS error, predictable from APBS electrostatics without explicit MD simulations` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/chemistry/u-rna-aptamer-design-principles.yaml`.",
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          "field": "suggested_hypotheses",
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      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/chemistry/u-rna-aptamer-design-principles.yaml",
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      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Arrhythmia onset is preceded by measurable critical slowing-down (rising AR1 coefficient of inter-beat intervals) within 2-5 minutes, consistent with proximity to the synchronization critical point.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/physics/u-cardiomyocyte-synchronization-criticality.yaml`.",
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        {
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      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Arrhythmia onset is preceded by measurable critical slowing-down (rising AR1 coefficient of inter-beat intervals) within 2-5 minutes, consistent with proximity to the synchronization critical point..yaml&type=code"
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      "ref_id": "Astrocyte D-serine release implements a second-order temporal correlation detector: synaptic inputs within 500 ms from different synapses are potentiated only if the astrocyte calcium threshold is reached, implementing coincidence detection unavailable to the neuron alone",
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      "reason": "Referenced 1× from catalog YAML as a graph target, but `Astrocyte D-serine release implements a second-order temporal correlation detector: synaptic inputs within 500 ms from different synapses are potentiated only if the astrocyte calcium threshold is reached, implementing coincidence detection unavailable to the neuron alone` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/neuroscience/u-glial-cell-computation.yaml`.",
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      "sample_referrers": [
        {
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          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/neuroscience/u-glial-cell-computation.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/neuroscience/u-glial-cell-computation.yaml",
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      "kind": "missing_xref_target",
      "ref_id": "Astrocyte end-feet signalling through aquaporin-4 dynamically regulates paracellular permeability in response to neuronal activity",
      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Astrocyte end-feet signalling through aquaporin-4 dynamically regulates paracellular permeability in response to neuronal activity` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/medicine/u-blood-brain-barrier-regulation.yaml`.",
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          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/medicine/u-blood-brain-barrier-regulation.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/medicine/u-blood-brain-barrier-regulation.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Astrocyte end-feet signalling through aquaporin-4 dynamically regulates paracellular permeability in response to neuronal activity.yaml&type=code"
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      "kind": "missing_xref_target",
      "ref_id": "Astrocyte-inspired memory compression achieves the same perplexity as full attention on 100K-token contexts while using 100x less memory, because biological replay preferentially preserves high-entropy (surprising) tokens, matching the information-theoretic optimum.",
      "title": null,
      "reason": "Referenced 1× from catalog YAML as a graph target, but `Astrocyte-inspired memory compression achieves the same perplexity as full attention on 100K-token contexts while using 100x less memory, because biological replay preferentially preserves high-entropy (surprising) tokens, matching the information-theoretic optimum.` is not in the knowledge graph node set (rename, typo, or missing catalog file). Example: `suggested_hypotheses` in `unknowns-catalog/computer-science/u-astrocyte-memory-replay-transformers.yaml`.",
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      "sample_referrers": [
        {
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          "source_path": "unknowns-catalog/computer-science/u-astrocyte-memory-replay-transformers.yaml",
          "field": "suggested_hypotheses",
          "relation": "suggested_hypothesis"
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      "suggested_path": "unknowns-catalog/computer-science/u-astrocyte-memory-replay-transformers.yaml",
      "github_blob_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/blob/main/unknowns-catalog/computer-science/u-astrocyte-memory-replay-transformers.yaml",
      "github_search_url": "https://github.com/KR8ZYSHO3/Universal-Science-Discovery/search?q=filename:Astrocyte-inspired memory compression achieves the same perplexity as full attention on 100K-token contexts while using 100x less memory, because biological replay preferentially preserves high-entropy (surprising) tokens, matching the information-theoretic optimum..yaml&type=code"
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    {
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