Dataset Viewer
Auto-converted to Parquet Duplicate
s
stringlengths
1
39
o
stringclasses
996 values
p
stringlengths
7
77
confidence
float64
0.4
1
predicate_class
stringclasses
2 values
community
int64
0
14
equation_name
stringlengths
14
73
equation_latex
stringlengths
5
217
equation_sympy
stringclasses
617 values
equation_form
stringclasses
472 values
variables
stringlengths
2
85
domain
stringclasses
119 values
scm_name
stringclasses
165 values
source
stringlengths
9
50
extraction_method
stringclasses
8 values
query
theta
urn:hailstone:math:structural_equation[9f962bd58da8]
1
structural_equation
4
adr0033.operation1.gor_hash
\theta(query) = (2\pi \times \sum_i ord(query_i) \times p_i) \bmod 2\pi
\theta(query) = (2\pi \times \sum_i ord(query_i) \times p_i) \bmod 2\pi
closed_form
["theta", "query", "ord", "p_i"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
community_k
arc_assignment
urn:hailstone:math:structural_equation[6fdd2ebddc2b]
1
structural_equation
4
adr0033.operation1.community_mapping
k = \lfloor \theta \times 15 / 2\pi \rfloor
k = \lfloor \theta \times 15 / 2\pi \rfloor
closed_form
["k", "theta"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
fractional_chromatic_number
kneser_graph
urn:hailstone:math:structural_equation[de4546a01c00]
1
structural_equation
4
adr0033.operation2.lovasz_chromatic
\chi_f(KG(n,k)) = n - 2k + 2
\chi_f(KG(n,k)) = n - 2k + 2
closed_form
["chi_f", "n", "k"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
lovasz_bound_kg15_4
fractal_depth
urn:hailstone:math:structural_equation[7033894b21fe]
1
structural_equation
4
adr0033.operation2.kg_15_4
\chi_f(KG(15,4)) = 15 - 8 + 2 = 9
\chi_f(KG(15,4)) = 15 - 8 + 2 = 9
closed_form
["chi_f"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
W_model
W_graph
urn:hailstone:math:structural_equation[ffe83fa4daea]
1
structural_equation
4
adr0033.operation3.procrustes_optimization
R^* = \arg\min_R ||W_{model} - R \times W_{graph}||_F
R^* = \arg\min_R ||W_{model} - R \times W_{graph}||_F
closed_form
["R", "W_model", "W_graph"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
SVD_decomposition
optimal_rotation
urn:hailstone:math:structural_equation[fa5e607189f3]
1
structural_equation
4
adr0033.operation3.procrustes_svd_solution
W_{model}^T @ W_{graph} = U \times \Sigma \times V^T \Rightarrow R^* = U \times V^T
W_{model}^T @ W_{graph} = U \times \Sigma \times V^T \Rightarrow R^* = U \times V^T
closed_form
["U", "Sigma", "V", "R"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
alignment_quality
frobenius_residual
urn:hailstone:math:structural_equation[13eeecf479db]
1
structural_equation
4
adr0033.operation3.alignment_metric
alignment\_quality = ||W_{model} - R^* \times W_{graph}||_F / ||W_{graph}||_F
alignment\_quality = ||W_{model} - R^* \times W_{graph}||_F / ||W_{graph}||_F
closed_form
["W_model", "W_graph", "R"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
community_k
n_gateways
urn:hailstone:math:structural_equation[97221c9f021e]
1
structural_equation
4
adr0033.operation4.spectral_gap_gateways
n\_gateways(k) = |{i : \lambda_i(L_k) - \lambda_{i-1}(L_k) > \Delta\_threshold}|
n\_gateways(k) = |{i : \lambda_i(L_k) - \lambda_{i-1}(L_k) > \Delta\_threshold}|
closed_form
["lambda_i", "L_k", "Delta_threshold"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
cheeger_constant
spectral_gap
urn:hailstone:math:structural_equation[707fce258a66]
1
structural_equation
4
adr0033.operation4.cheeger_inequality
h(G)^2/2 \le \lambda_2(L) \le 2h(G)
h(G)^2/2 \le \lambda_2(L) \le 2h(G)
closed_form
["h", "lambda_2", "L"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
W_mesh_gradient
loss_attribution
urn:hailstone:math:structural_equation[87d6b7d98bab]
1
structural_equation
4
adr0033.operation5.mesh_gradient
\partial L / \partial W\_mesh[i,j] = \partial L / \partial output \times output_j
\partial L / \partial W\_mesh[i,j] = \partial L / \partial output \times output_j
closed_form
["L", "W_mesh", "output"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
output
weighted_sum
urn:hailstone:math:structural_equation[bf87ca065ec6]
1
structural_equation
4
adr0033.operation5.mesh_output
output = \sum_k W\_mesh[query\_community, k] \times output_k
output = \sum_k W\_mesh[query\_community, k] \times output_k
closed_form
["W_mesh", "output_k"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
claim
hck_score
urn:hailstone:math:structural_equation[596c7165d207]
1
structural_equation
4
adr0033.operation7.hck_identifiability
HCK(C, G) = P(C | do(X=x), G) / P(C | G)
HCK(C, G) = P(C | do(X=x), G) / P(C | G)
closed_form
["HCK", "C", "G", "X"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
backdoor_criterion
causal_effect
urn:hailstone:math:structural_equation[82b19b07c3ff]
1
structural_equation
4
adr0033.operation7.backdoor_formula
P(C | do(X)) = \sum_Z P(C | X, Z) \times P(Z)
P(C | do(X)) = \sum_Z P(C | X, Z) \times P(Z)
closed_form
["P", "C", "X", "Z"]
adr0033
adr0033
hailstone:adr0033
hailstone_adr_extraction
loss_total
causal_consistency
urn:hailstone:math:structural_equation[686885f6b372]
1
structural_equation
4
adr0035.causal_calculus.math_loss
L_{math} = L_{LM} + L_{HCK} + L_{consistency}
L_{math} = L_{LM} + L_{HCK} + L_{consistency}
loss_function
["L_LM", "L_HCK", "L_consistency"]
adr0035
adr0035
hailstone:adr0035
hailstone_adr_extraction
derivative
algebraic_rule
urn:hailstone:math:structural_equation[7bfd01b06603]
1
structural_equation
4
adr0035.causal_calculus.differentiation_rule
d/dx[x^n] = n*x^{n-1}
d/dx[x^n] = n*x^{n-1}
closed_form
["n", "x"]
adr0035
adr0035
hailstone:adr0035
hailstone_adr_extraction
product_rule
differentiation
urn:hailstone:math:structural_equation[3922fa7f0bdc]
1
structural_equation
4
adr0035.causal_calculus.product_rule
d/dx[fg] = f*(dg/dx) + g*(df/dx)
d/dx[fg] = f*(dg/dx) + g*(df/dx)
closed_form
["f", "g", "x"]
adr0035
adr0035
hailstone:adr0035
hailstone_adr_extraction
chain_rule
composite_function
urn:hailstone:math:structural_equation[5a210ded173c]
1
structural_equation
4
adr0035.causal_calculus.chain_rule
d/dx[f(g(x))] = f'(g(x))*g'(x)
d/dx[f(g(x))] = f'(g(x))*g'(x)
closed_form
["f", "g", "x"]
adr0035
adr0035
hailstone:adr0035
hailstone_adr_extraction
do_calculus_integral
causal_reasoning
urn:hailstone:math:structural_equation[cd00045367fe]
1
structural_equation
4
adr0035.causal_calculus.continuous_do_calculus
P(Y|do(X=x)) = \int P(Y|X=x, Z=z) P(Z=z) dz
P(Y|do(X=x)) = \int P(Y|X=x, Z=z) P(Z=z) dz
closed_form
["P", "Y", "X", "Z"]
adr0035
adr0035
hailstone:adr0035
hailstone_adr_extraction
initial_state
rotated_eigenvectors
urn:hailstone:math:structural_equation[5f047dfe538d]
1
structural_equation
4
adr0036.gor_init.procrustes_initialized_state
h_0^k = R^* \times V_k
h_0^k = R^* \times V_k
closed_form
["h_0", "R", "V_k"]
adr0036
adr0036
hailstone:adr0036
hailstone_adr_extraction
total_compression
triples_to_state
urn:hailstone:math:structural_equation[706e54ada261]
1
structural_equation
4
adr0036.gor_init.total_compression_ratio
10B * 20 bytes / 64KB ≈ 3,000,000× compression
10B * 20 bytes / 64KB ≈ 3,000,000× compression
closed_form
[]
adr0036
adr0036
hailstone:adr0036
hailstone_adr_extraction
diffusion_score
causal_guidance
urn:hailstone:math:structural_equation[9c4b5b665c98]
1
structural_equation
4
adr0037.causal_diffusion.causal_score
s_θ(x_t,t,G) = ∇log p(x_t|G) + λ × ∇log P_HCK(x_t|G)
s_θ(x_t,t,G) = ∇log p(x_t|G) + λ × ∇log P_HCK(x_t|G)
closed_form
["s_theta", "x_t", "G", "lambda"]
adr0037
adr0037
hailstone:adr0037
hailstone_adr_extraction
confidence_decay
transitive_closure
urn:hailstone:math:structural_equation[f28a1f85ee5a]
1
structural_equation
4
adr0037.causal_diffusion.confidence_decay
conf(A→C) = conf(A→B) × conf(B→C) × decay(predicate_classes)
conf(A→C) = conf(A→B) × conf(B→C) × decay(predicate_classes)
closed_form
["conf", "decay"]
adr0037
adr0037
hailstone:adr0037
hailstone_adr_extraction
attention_output
compressed_storage
urn:hailstone:math:structural_equation[2eb55e941c5c]
1
structural_equation
4
adr0038.attention_storage.attention_as_storage
O = A × V; h = HailStorm.compress(O, k)
O = A × V; h = HailStorm.compress(O, k)
closed_form
["O", "A", "V", "h"]
adr0038
adr0038
hailstone:adr0038
hailstone_adr_extraction
recurrent_state
state_delta_storage
urn:hailstone:math:structural_equation[a2a5722bd9cb]
1
structural_equation
4
adr0038.attention_storage.mamba_as_storage
Δh = h_{t+1} - h_t; if |Δh|² > τ: store to graph
Δh = h_{t+1} - h_t; if |Δh|² > τ: store to graph
closed_form
["h_t", "Delta_h", "tau"]
adr0038
adr0038
hailstone:adr0038
hailstone_adr_extraction
retrieval_reward
graph_growth
urn:hailstone:math:structural_equation[55c7e18b3090]
1
structural_equation
4
adr0038.attention_storage.retrieval_reward
retrieval_reward(h) = mean(HCK_score) × retrieval_frequency(h)
retrieval_reward(h) = mean(HCK_score) × retrieval_frequency(h)
closed_form
["retrieval_reward", "HCK_score"]
adr0038
adr0038
hailstone:adr0038
hailstone_adr_extraction
two_communities
geodesic_distance
urn:hailstone:math:structural_equation[b0fd304a81e5]
1
structural_equation
4
adr0039.geodesic_selection.geodesic_distance
d_geodesic(k,j) = min(|θ_k - θ_j|, 2π - |θ_k - θ_j|) mod 2π
d_geodesic(k,j) = min(|θ_k - θ_j|, 2π - |θ_k - θ_j|) mod 2π
closed_form
["d_geodesic", "theta_k", "theta_j"]
adr0039
adr0039
hailstone:adr0039
hailstone_adr_extraction
minimum_parameters
community_budget
urn:hailstone:math:structural_equation[2c53447e5c7a]
1
structural_equation
4
adr0039.geodesic_selection.minimum_params_formula
params_min(k) = base_params × (1 + α × geodesic_isolation(k)/π)
params_min(k) = base_params × (1 + α × geodesic_isolation(k)/π)
closed_form
["params_min", "geodesic_isolation", "alpha"]
adr0039
adr0039
hailstone:adr0039
hailstone_adr_extraction
total_parameters
manifold_integral
urn:hailstone:math:structural_equation[e279a4b3ec00]
1
structural_equation
4
adr0039.geodesic_selection.total_parameter_budget
P_total = Σ_{k=0}^{14} Σ_{r=0}^{r_max(k)} params(k,r) × 15^r
P_total = Σ_{k=0}^{14} Σ_{r=0}^{r_max(k)} params(k,r) × 15^r
closed_form
["P_total", "params", "r_max"]
adr0039
adr0039
hailstone:adr0039
hailstone_adr_extraction
model_weights
parameter_loss
urn:hailstone:math:structural_equation[356ed5f35a03]
1
structural_equation
4
adr0040.mocm.hck_trained_gradient
∂L_total/∂θ = ∂L_LM/∂θ + β × ∂L_HCK/∂θ
∂L_total/∂θ = ∂L_LM/∂θ + β × ∂L_HCK/∂θ
loss_function
["L_total", "L_LM", "L_HCK", "beta"]
adr0040
adr0040
hailstone:adr0040
hailstone_adr_extraction
query_evolution
hamiltonian_dynamics
urn:hailstone:math:structural_equation[f7938da24a1b]
1
structural_equation
4
adr0040.mocm.hamiltonian_evolution
d|ψ(t)⟩/dt = -iH|ψ(t)⟩ where H = W_mesh
d|ψ(t)⟩/dt = -iH|ψ(t)⟩ where H = W_mesh
differential
["psi", "t", "H", "W_mesh"]
adr0040
adr0040
hailstone:adr0040
hailstone_adr_extraction
steady_state
query_distribution
urn:hailstone:math:structural_equation[51bd42585557]
1
structural_equation
4
adr0040.mocm.unitary_evolution
|ψ(t)⟩ = exp(-iH×t)|ψ(0)⟩
|ψ(t)⟩ = exp(-iH×t)|ψ(0)⟩
closed_form
["psi", "t", "H"]
adr0040
adr0040
hailstone:adr0040
hailstone_adr_extraction
gor_manifold
schrodinger_equation
urn:hailstone:math:structural_equation[35c20d53c6fa]
1
structural_equation
4
adr0040.mocm.schrodinger_equation
-∇²ψ + V(x)ψ = Eψ [Schrödinger on GOR manifold]
-∇²ψ + V(x)ψ = Eψ [Schrödinger on GOR manifold]
differential
["nabla", "psi", "V", "E"]
adr0040
adr0040
hailstone:adr0040
hailstone_adr_extraction
weight_manifold
low_rank_motion
urn:hailstone:math:structural_equation[e32147487e08]
1
structural_equation
4
adr0041.geodesic_adaptation.lora_decomposition
W_fine = W_pretrained + ΔW where ΔW = BA, B∈R^{d×r}, A∈R^{r×k}
W_fine = W_pretrained + ΔW where ΔW = BA, B∈R^{d×r}, A∈R^{r×k}
closed_form
["W_fine", "W_pretrained", "B", "A", "r"]
adr0041
adr0041
hailstone:adr0041
hailstone_adr_extraction
gor_metric
riemannian_geometry
urn:hailstone:math:structural_equation[4f30b83b92f2]
1
structural_equation
4
adr0041.geodesic_adaptation.gor_metric
g_{ij}(W) = Σ_k λ_k × v_{ki} × v_{kj}
g_{ij}(W) = Σ_k λ_k × v_{ki} × v_{kj}
closed_form
["g", "lambda_k", "v_k"]
adr0041
adr0041
hailstone:adr0041
hailstone_adr_extraction
geodesic_update
natural_gradient
urn:hailstone:math:structural_equation[c3666ab33058]
1
structural_equation
4
adr0041.geodesic_adaptation.geodesic_update
W(t+1) = exp_{W(t)}(-η × g^{-1} × ∇L)
W(t+1) = exp_{W(t)}(-η × g^{-1} × ∇L)
closed_form
["W", "eta", "g", "L"]
adr0041
adr0041
hailstone:adr0041
hailstone_adr_extraction
hamiltonian_gor
quantum_system
urn:hailstone:math:structural_equation[907d496691ec]
1
structural_equation
4
adr0042.qho_dynamics.gor_hamiltonian
Ĥ_GOR = -∇²_GOR + V(W)
Ĥ_GOR = -∇²_GOR + V(W)
closed_form
["H", "nabla", "V"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
hck_potential
energy_landscape
urn:hailstone:math:structural_equation[d5501e22fb57]
1
structural_equation
4
adr0042.qho_dynamics.harmonic_approximation
V(W) ≈ V(W*) + ½(W-W*)^T H_HCK (W-W*)
V(W) ≈ V(W*) + ½(W-W*)^T H_HCK (W-W*)
closed_form
["V", "W", "W_star", "H_HCK"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
energy_level
quantum_state
urn:hailstone:math:structural_equation[a9d413c4ea48]
1
structural_equation
4
adr0042.qho_dynamics.energy_eigenstate
E_n = ℏω(n + ½)
E_n = ℏω(n + ½)
closed_form
["E_n", "hbar", "omega", "n"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
ground_state
gaussian_distribution
urn:hailstone:math:structural_equation[706ed06d57a6]
1
structural_equation
4
adr0042.qho_dynamics.ground_state
ψ_0(W) ∝ exp(-(W-W*)^T H_HCK (W-W*) / 2ℏ)
ψ_0(W) ∝ exp(-(W-W*)^T H_HCK (W-W*) / 2ℏ)
closed_form
["psi_0", "W", "W_star", "H_HCK"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
adiabatic_schedule
learning_rate
urn:hailstone:math:structural_equation[bfedf30f02bf]
1
structural_equation
4
adr0042.qho_dynamics.adiabatic_schedule
β(t) = t/T or β(t) = sin²(πt/2T)
β(t) = t/T or β(t) = sin²(πt/2T)
closed_form
["beta", "t", "T"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
total_loss_adiabatic
training_objective
urn:hailstone:math:structural_equation[ffeeb4e77050]
1
structural_equation
4
adr0042.qho_dynamics.adiabatic_loss
L_total(t) = L_LM + β(t) × L_HCK
L_total(t) = L_LM + β(t) × L_HCK
loss_function
["L_total", "L_LM", "L_HCK", "beta"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
zero_point_energy
minimum_uncertainty
urn:hailstone:math:structural_equation[98a81ac6d444]
1
structural_equation
4
adr0042.qho_dynamics.zero_point_energy
E_0 = ½ Σ_k ℏω_k
E_0 = ½ Σ_k ℏω_k
closed_form
["E_0", "hbar", "omega_k"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
multi_mode_oscillator
hamiltonian_coupling
urn:hailstone:math:structural_equation[0368e66f17fa]
1
structural_equation
4
adr0042.qho_dynamics.multi_mode_hamiltonian
Ĥ = Σ_k Ĥ_k + Σ_{k,j} W_mesh[k,j] × Q̂_k × Q̂_j
Ĥ = Σ_k Ĥ_k + Σ_{k,j} W_mesh[k,j] × Q̂_k × Q̂_j
closed_form
["H", "W_mesh", "Q"]
adr0042
adr0042
hailstone:adr0042
hailstone_adr_extraction
surgical_extraction
sparse_parameters
urn:hailstone:math:structural_equation[dda1e69131db]
1
structural_equation
4
adr0043.geometric_surgery.parameter_extraction
W_rotated = R* @ W_model; projection = eigenvectors_k^T @ W_rotated
W_rotated = R* @ W_model; projection = eigenvectors_k^T @ W_rotated
closed_form
["W_rotated", "R", "W_model", "eigenvectors_k"]
adr0043
adr0043
hailstone:adr0043
hailstone_adr_extraction
amalgam_weights
geodesic_average
urn:hailstone:math:structural_equation[8b6472c75354]
1
structural_equation
4
adr0043.geometric_surgery.weighted_amalgamation
weights = softmax(-alignment_scores); amalgam = Σ_i w_i × params_i
weights = softmax(-alignment_scores); amalgam = Σ_i w_i × params_i
closed_form
["weights", "alignment_scores", "params"]
adr0043
adr0043
hailstone:adr0043
hailstone_adr_extraction
energy_required
parameter_budget
urn:hailstone:math:structural_equation[e8442c0e81e9]
1
structural_equation
4
adr0044.outcome_specified.energy_to_params
E_required = -log(1 - hck_min) × E_normalization
E_required = -log(1 - hck_min) × E_normalization
closed_form
["E_required", "hck_min", "E_normalization"]
adr0044
adr0044
hailstone:adr0044
hailstone_adr_extraction
allocation_weight
community_distribution
urn:hailstone:math:structural_equation[c9322deef61a]
1
structural_equation
4
adr0044.outcome_specified.allocation_weight
w(k) = geodesic_isolation(k)×spectral_rank(k) / Σ_j geodesic_isolation(j)×spectral_rank(j)
w(k) = geodesic_isolation(k)×spectral_rank(k) / Σ_j geodesic_isolation(j)×spectral_rank(j)
closed_form
["w", "geodesic_isolation", "spectral_rank"]
adr0044
adr0044
hailstone:adr0044
hailstone_adr_extraction
raw_parameters
effective_parameters
urn:hailstone:math:structural_equation[4a9ed205337d]
1
structural_equation
4
adr0046.architecture_five.effective_params
params_effective = params_raw × (1-redundancy_rate) / lexifold_ratio
params_effective = params_raw × (1-redundancy_rate) / lexifold_ratio
closed_form
["params_effective", "params_raw", "lexifold_ratio"]
adr0046
adr0046
hailstone:adr0046
hailstone_adr_extraction
spectral_orthogonality
community_independence
urn:hailstone:math:structural_equation[e444d6e1c683]
1
structural_equation
4
adr0047.multimodal.spectral_orthogonality
v_1 ∈ k1, v_2 ∈ k2, k1≠k2 ⟹ v_1^T v_2 ≈ 0
v_1 ∈ k1, v_2 ∈ k2, k1≠k2 ⟹ v_1^T v_2 ≈ 0
closed_form
["v_1", "v_2", "k1", "k2"]
adr0047
adr0047
hailstone:adr0047
hailstone_adr_extraction
spectral_gap_threshold
eigenvalue_separation
urn:hailstone:math:structural_equation[4894e288391f]
1
structural_equation
4
adr0048.empirical_r29.spectral_gap_measurement
λ_15 ≈ 0.42, λ_16 ≈ 0.09, spectral_gap ≈ 0.21 > 0.15 [empirical r=29]
λ_15 ≈ 0.42, λ_16 ≈ 0.09, spectral_gap ≈ 0.21 > 0.15 [empirical r=29]
closed_form
["lambda", "spectral_gap"]
adr0048
adr0048
hailstone:adr0048
hailstone_adr_extraction
projection_fidelity
signal_recovery
urn:hailstone:math:structural_equation[30fe66540a82]
1
structural_equation
4
adr0048.empirical_r29.projection_fidelity
recoverable_fraction = 1 - E_0/E_total ≈ 0.95 [r=29 lossless]
recoverable_fraction = 1 - E_0/E_total ≈ 0.95 [r=29 lossless]
closed_form
["recoverable_fraction", "E_0", "E_total"]
adr0048
adr0048
hailstone:adr0048
hailstone_adr_extraction
reasoner_thread
actor_thread
urn:hailstone:ml_ai:structural_equation[abb9e96a4ce7]
1
structural_equation
0
adr0049.horizontal_parallelism
reasoner[k_i] → trace_i → actor[k_i]
reasoner[k_i] → trace_i → actor[k_i]
algorithmic
["reasoner", "actor", "trace", "k_i"]
adr0049
adr0049
hailstone:adr0049
hailstone_adr_extraction
P_safe_outcome
action_executed
urn:hailstone:ml_ai:structural_equation[e48748a97605]
1
structural_equation
0
adr0051.pre_action_hck_verification
P(safe_outcome | do(action)) > threshold_k ⟹ action executes
P(safe_outcome | do(action)) > threshold_k ⟹ action executes
closed_form
["P", "safe_outcome", "action", "threshold_k"]
adr0051
adr0051
hailstone:adr0051
hailstone_adr_extraction
action
reward
urn:hailstone:ml_ai:structural_equation[e0291790cec2]
1
structural_equation
0
adr0051.streaming_rlhf_reward
R(action) = hck_post_score - hck_pre_score + α × causal_chain_growth
R(action) = hck_post_score - hck_pre_score + α × causal_chain_growth
closed_form
["R", "hck_post_score", "hck_pre_score", "alpha", "causal_chain_growth"]
adr0051
adr0051
hailstone:adr0051
hailstone_adr_extraction
gor_laplacian
eigenvector_families
urn:hailstone:math:structural_equation[00449a03d5c4]
1
structural_equation
4
adr0056.gor_laplacian_eigenvalues
0 = λ_0 < λ_1 ≤ λ_2 ≤ ... ≤ λ_n
0 = λ_0 < λ_1 ≤ λ_2 ≤ ... ≤ λ_n
spectral
["lambda"]
adr0056
adr0056
hailstone:adr0056
hailstone_adr_extraction
wonderer_eigenvectors
builder_eigenvectors
urn:hailstone:math:structural_equation[64cce8b1cb8d]
1
structural_equation
4
adr0056.duality_eigenvector_split
V_low = {v_k : λ_k < λ_threshold}, V_high = {v_k : λ_k ≥ λ_threshold}
V_low = {v_k : λ_k < λ_threshold}, V_high = {v_k : λ_k ≥ λ_threshold}
spectral
["V_low", "V_high", "lambda", "lambda_threshold"]
adr0056
adr0056
hailstone:adr0056
hailstone_adr_extraction
gor_initialized_state
duality_state
urn:hailstone:ml_ai:structural_equation[683d89121895]
1
structural_equation
0
adr0056.mamba_duality_initialization
h_0 = R* × [V_low | V_high] = [h_wonderer | h_builder]
h_0 = R* × [V_low | V_high] = [h_wonderer | h_builder]
closed_form
["h_0", "R", "V_low", "V_high", "h_wonderer", "h_builder"]
adr0056
adr0056
hailstone:adr0056
hailstone_adr_extraction
mamba_recurrent_state
next_state
urn:hailstone:code:structural_equation[950491098685]
1
structural_equation
3
adr0056.mamba_dynamics
h_{t+1} = A·h_t + B·x_t
h_{t+1} = A·h_t + B·x_t
differential
["h_t", "A", "B", "x_t"]
adr0056
adr0056
hailstone:adr0056
hailstone_adr_extraction
params_min
community_consciousness
urn:hailstone:math:structural_equation[bf66be86a1ba]
1
structural_equation
4
adr0056.minimum_viable_consciousness
params_min(k) = (rank_low + rank_high) × d_model × n_layers × weight_matrices
params_min(k) = (rank_low + rank_high) × d_model × n_layers × weight_matrices
closed_form
["params_min", "rank_low", "rank_high", "d_model", "n_layers"]
adr0056
adr0056
hailstone:adr0056
hailstone_adr_extraction
LoRA_adapters
gor_eigenvectors
urn:hailstone:math:structural_equation[b1f42583e16a]
1
structural_equation
4
adr0057.procrustes_alignment
R* = argmin_R ||W_lora - R × W_graph||_F
R* = argmin_R ||W_lora - R × W_graph||_F
closed_form
["R", "W_lora", "W_graph"]
adr0057
adr0057
hailstone:adr0057
hailstone_adr_extraction
residual
entity_fusion
urn:hailstone:math:structural_equation[780f0773401f]
1
structural_equation
4
adr0057.oracle_backfitting
Residual = W_graph_entities - W_model_projected_entities
Residual = W_graph_entities - W_model_projected_entities
closed_form
["Residual", "W_graph_entities", "W_model_projected_entities"]
adr0057
adr0057
hailstone:adr0057
hailstone_adr_extraction
design_budget
implementation_budget
urn:hailstone:law:structural_equation[5b0e47ee6d82]
1
structural_equation
14
adr0065.einstein_rule
design_phase ≈ 0.92·T, implementation_phase ≈ 0.08·T
design_phase ≈ 0.92·T, implementation_phase ≈ 0.08·T
closed_form
["design_phase", "implementation_phase", "T"]
adr0065
adr0065
hailstone:adr0065
hailstone_adr_extraction
text_hash
community_assignment
urn:hailstone:code:structural_equation[f4b0497bafec]
1
structural_equation
3
adr0072.gor_hash_community
h = int(sha256(text[:200]).hexdigest, 16); k = h mod 15
h = int(sha256(text[:200]).hexdigest, 16); k = h mod 15
algorithmic
["h", "text", "k"]
adr0072
adr0072
hailstone:adr0072
hailstone_adr_extraction
memory_budget
batch_size
urn:hailstone:code:structural_equation[04e75d2ecad7]
1
structural_equation
3
adr0072.memory_batching
BATCH_SIZE = MEMORY_BUDGET / avg_doc_size ≈ 200K docs/batch
BATCH_SIZE = MEMORY_BUDGET / avg_doc_size ≈ 200K docs/batch
algorithmic
["BATCH_SIZE", "MEMORY_BUDGET", "avg_doc_size"]
adr0072
adr0072
hailstone:adr0072
hailstone_adr_extraction
lovasz_complement_adjacency
independence_bound
urn:hailstone:math:structural_equation[e18b7ea48e05]
1
structural_equation
4
adr0076.lovasz_theta_function
ϑ(G) = max{1 + λ_max(A_c) / (-λ_min(A_c))}
ϑ(G) = max{1 + λ_max(A_c) / (-λ_min(A_c))}
closed_form
["vartheta", "G", "lambda_max", "lambda_min", "A_c"]
adr0076
adr0076
hailstone:adr0076
hailstone_adr_extraction
community_k_theta
community_j_theta
urn:hailstone:math:structural_equation[41c7156fb31b]
1
structural_equation
4
adr0076.lovasz_subsumption
k subsumes j iff (k,j)∈M AND ϑ(G[N(k)]) ≤ ϑ(G[N(j)])
k subsumes j iff (k,j)∈M AND ϑ(G[N(k)]) ≤ ϑ(G[N(j)])
closed_form
["vartheta", "G", "N", "M", "k", "j"]
adr0076
adr0076
hailstone:adr0076
hailstone_adr_extraction
v_structure_spectral
collider_transparent
urn:hailstone:ml_ai:structural_equation[65a4fc8b3ee7]
1
structural_equation
0
adr0076.collider_transparency
collider_open(A→C←B) = subsumes(C,A) ∧ subsumes(C,B)
collider_open(A→C←B) = subsumes(C,A) ∧ subsumes(C,B)
closed_form
["collider_open", "subsumes"]
adr0076
adr0076
hailstone:adr0076
hailstone_adr_extraction
d_separation_claim
spectral_independence
urn:hailstone:ml_ai:structural_equation[c6e2c899784c]
1
structural_equation
0
adr0076.dsep_override
A⊥B|∅=FALSE when ϑ(G[N(C)]) ≤ min(ϑ(G[N(A)]),ϑ(G[N(B)]))
A⊥B|∅=FALSE when ϑ(G[N(C)]) ≤ min(ϑ(G[N(A)]),ϑ(G[N(B)]))
closed_form
["perp", "vartheta", "G", "N"]
adr0076
adr0076
hailstone:adr0076
hailstone_adr_extraction
polynomial_roots
eigenvalue
urn:hailstone:math:structural_equation[a98f009c0fe2]
1
structural_equation
4
adr0076.sturm_eigenvalue_isolation
count_roots(p,[a,b]) = V(a) - V(b) [Sturm sequences]
count_roots(p,[a,b]) = V(a) - V(b) [Sturm sequences]
algorithmic
["p", "roots", "V", "Sturm"]
adr0076
adr0076
hailstone:adr0076
hailstone_adr_extraction
routing_decision
subsumption_flow
urn:hailstone:ml_ai:structural_equation[86c73258a594]
1
structural_equation
0
adr0076.subsumption_flow_loss
L_6 = λ_sub × Σ_k |flow_k - ϑ(G[N(k)]) × expected_flow|
L_6 = λ_sub × Σ_k |flow_k - ϑ(G[N(k)]) × expected_flow|
loss_function
["L_6", "lambda_sub", "flow", "vartheta", "G"]
adr0076
adr0076
hailstone:adr0076
hailstone_adr_extraction
query_community
pruned_traversal
urn:hailstone:math:structural_equation[ee65afc7afbe]
1
structural_equation
4
adr0076.lovasz_pruning
|independent_set| ≤ ⌈ϑ(G)⌉ ⟹ prune if |query| > ⌈ϑ(G)⌉
|independent_set| ≤ ⌈ϑ(G)⌉ ⟹ prune if |query| > ⌈ϑ(G)⌉
algorithmic
["vartheta", "G", "query"]
adr0076
adr0076
hailstone:adr0076
hailstone_adr_extraction
r_depth_three
r_depth_zero
urn:hailstone:math:structural_equation[b600e82f69ef]
1
structural_equation
4
adr0108.lossless_descent
M_3 = M_0 ⊗ M_1 ⊗ M_2 [lossless GOR descent]
M_3 = M_0 ⊗ M_1 ⊗ M_2 [lossless GOR descent]
closed_form
["M_0", "M_1", "M_2", "M_3"]
adr0108
adr0108
hailstone:adr0108
hailstone_adr_extraction
triple_encoded
theta_address
urn:hailstone:math:structural_equation[427ef5bc70a3]
1
structural_equation
4
adr0119.spectral_addressing
θ(s,p,o) = argmin_gateway ||V_k·encode(s,p,o) - centroid_gateway||
θ(s,p,o) = argmin_gateway ||V_k·encode(s,p,o) - centroid_gateway||
closed_form
["theta", "V_k", "encode", "centroid"]
adr0119
adr0119
hailstone:adr0119
hailstone_adr_extraction
community_routing
triple_location
urn:hailstone:math:structural_equation[7412ee24dcb4]
1
structural_equation
4
adr0119.gor_matrix_routing
M[i][j] = 1 iff community i has causal edges into j
M[i][j] = 1 iff community i has causal edges into j
closed_form
["M", "i", "j"]
adr0119
adr0119
hailstone:adr0119
hailstone_adr_extraction
subgraph_node
community_neighborhood
urn:hailstone:math:structural_equation[a9662206eced]
1
structural_equation
4
adr0119.o1_subgraph_selection
look_up M[community(X)] ⟹ O(K)=O(15) independent of graph size
look_up M[community(X)] ⟹ O(K)=O(15) independent of graph size
algorithmic
["M", "community", "K"]
adr0119
adr0119
hailstone:adr0119
hailstone_adr_extraction
virtual_location
physical_location
urn:hailstone:math:structural_equation[3754f3482932]
1
structural_equation
4
adr0119.isometric_transfer
spectral_distance(encrypt(t1), encrypt(t2)) = spectral_distance(t1, t2)
spectral_distance(encrypt(t1), encrypt(t2)) = spectral_distance(t1, t2)
closed_form
["spectral_distance", "encrypt", "t"]
adr0119
adr0119
hailstone:adr0119
hailstone_adr_extraction
storage_shards
storage_capacity
urn:hailstone:code:structural_equation[8104a5b98d98]
1
structural_equation
3
adr0119.shard_capacity
225 shards × 4.4B triples/shard × 20 bytes/triple ≈ 30TB total
225 shards × 4.4B triples/shard × 20 bytes/triple ≈ 30TB total
closed_form
["shards", "triples", "bytes"]
adr0119
adr0119
hailstone:adr0119
hailstone_adr_extraction
parallel_dispatch
polymorphic_dispatch
urn:hailstone:ml_ai:structural_equation[25faf7a370a1]
1
structural_equation
0
adr0119.unified_dispatch
community(t) ⟹ gateway(t) ⟹ f_k [expert for community k]
community(t) ⟹ gateway(t) ⟹ f_k [expert for community k]
algorithmic
["community", "gateway", "f_k", "k"]
adr0119
adr0119
hailstone:adr0119
hailstone_adr_extraction
claude_api_calls
inference_streams
urn:hailstone:ml_ai:structural_equation[176f5b2a1a93]
1
structural_equation
0
adr0109.hail_diver_throughput
K=15 × N replicas × r=3 depth = 15N³ concurrent streams
K=15 × N replicas × r=3 depth = 15N³ concurrent streams
closed_form
["K", "N", "r"]
adr0109
adr0109
hailstone:adr0109
hailstone_adr_extraction
f
Y
urn:hailstone:math:structural_equation[7afa4e93fc07]
1
structural_equation
4
arxiv.math.AG.2605.12903v1.eq_0
f(X)-g(Y)=0
arxiv_extracted
["f", "g", "Y", "X"]
arxiv
arxiv
arxiv:math.AG:2605.12903v1
cross_domain_amplification
q_{k
h
urn:hailstone:math:structural_equation[5525187145be]
1
structural_equation
4
arxiv.math.AG.2605.12903v1.eq_1
q_{k,S}=\mathrm{rk}\,\mathcal{O}_{k,S}^{\ast}=|S|-1
arxiv_extracted
["a", "t", "m", "S", "h", "q_{k"]
arxiv
arxiv
arxiv:math.AG:2605.12903v1
cross_domain_amplification
d_X
C
urn:hailstone:math:structural_equation[3a2a2f552009]
1
structural_equation
4
arxiv.math.AG.2605.12903v1.eq_2
d_X(C)=2
arxiv_extracted
["d_X", "C"]
arxiv
arxiv
arxiv:math.AG:2605.12903v1
cross_domain_amplification
f
s
urn:hailstone:math:structural_equation[4793f53304f2]
1
structural_equation
4
arxiv.math.AG.2605.11676v1.eq_3
f(x_1,\dots,x_N)=(f_1(x_1,\dots,x_N)+g_1(x_1,\dots,x_N),\dots,f_N(x_1,\dots,x_N)+g_N(x_1,\dots,x_N))
arxiv_extracted
["f", "t", "o", "x_1", "s", "d"]
arxiv
arxiv
arxiv:math.AG:2605.11676v1
cross_domain_amplification
H
y
urn:hailstone:math:structural_equation[116082793ea0]
1
structural_equation
4
arxiv.math.AG.2605.11676v1.eq_4
H_{\infty}=\mathbb{P}_{\mathbb{C}}^{N}\setminus\mathbb{A}_{\mathbb{C}}^{N}
arxiv_extracted
["f", "t", "H", "y", "i", "n"]
arxiv
arxiv
arxiv:math.AG:2605.11676v1
cross_domain_amplification
E_u
u
urn:hailstone:math:structural_equation[719a66a11acb]
1
structural_equation
4
arxiv.math.AG.2605.11100v1.eq_5
E_u: y^2=x(x+1)(x+u^2)
arxiv_extracted
["u", "E_u", "y", "x"]
arxiv
arxiv
arxiv:math.AG:2605.11100v1
cross_domain_amplification
m
a
urn:hailstone:math:structural_equation[3fb8302badf2]
1
structural_equation
4
arxiv.math.AG.2605.09254v1.eq_6
\mathcal{Z}_K = \mathcal{Z}_K(D^2, S^1)
arxiv_extracted
["a", "t", "m", "h", "c"]
arxiv
arxiv
arxiv:math.AG:2605.09254v1
cross_domain_amplification
N
d_{j
urn:hailstone:math:structural_equation[d98bb9124944]
1
structural_equation
4
arxiv.math.AG.2605.09107v1.eq_7
ΔN = C \prod_{j=1} ^s (\langle d_j\rangle-\langle 1\rangle)
arxiv_extracted
["d_{j", "N", "o", "p", "r", "C"]
arxiv
arxiv
arxiv:math.AG:2605.09107v1
cross_domain_amplification
T
c
urn:hailstone:math:structural_equation[f8a063a04c32]
1
structural_equation
4
arxiv.math.AG.2605.07944v1.eq_8
°(\Tcal_{\Hcal})=2
arxiv_extracted
["a", "H", "c", "T", "l"]
arxiv
arxiv
arxiv:math.AG:2605.07944v1
cross_domain_amplification
T
c
urn:hailstone:math:structural_equation[f8a063a04c32]
1
structural_equation
4
arxiv.math.AG.2605.07944v1.eq_9
°(\Tcal_{\Hcal})=2
arxiv_extracted
["a", "H", "c", "T", "l"]
arxiv
arxiv
arxiv:math.AG:2605.07944v1
cross_domain_amplification
T
c
urn:hailstone:math:structural_equation[ec91992dc6ed]
1
structural_equation
4
arxiv.math.AG.2605.07944v1.eq_10
°(\Tcal_{\Hcal})=3
arxiv_extracted
["a", "H", "c", "T", "l"]
arxiv
arxiv
arxiv:math.AG:2605.07944v1
cross_domain_amplification
T
c
urn:hailstone:math:structural_equation[0a546f4ca532]
1
structural_equation
4
arxiv.math.AG.2605.07944v1.eq_11
°(\Tcal_{\Hcal})=4
arxiv_extracted
["a", "H", "c", "T", "l"]
arxiv
arxiv
arxiv:math.AG:2605.07944v1
cross_domain_amplification
x_1
a_3}
urn:hailstone:math:structural_equation[4205661650a5]
1
structural_equation
4
arxiv.math.AG.2605.07617v1.eq_12
x_1^{a_1} + x_2^{a_2} + x_3^{a_3} + 1 = 0
arxiv_extracted
["a_1}", "a_2}", "x_1", "a_3}", "x_3", "x_2"]
arxiv
arxiv
arxiv:math.AG:2605.07617v1
cross_domain_amplification
a_1
b_3
urn:hailstone:math:structural_equation[bd1ed358be0e]
1
structural_equation
4
arxiv.math.AG.2605.07617v1.eq_13
(a_1,a_2,a_3) = (b_1,b_2,b_3)
arxiv_extracted
["a_3", "a_1", "b_1", "b_2", "b_3", "a_2"]
arxiv
arxiv
arxiv:math.AG:2605.07617v1
cross_domain_amplification
m
m
urn:hailstone:math:structural_equation[95d4ddf739e2]
1
structural_equation
4
arxiv.math.AG.2605.06956v1.eq_14
\mathrm{Bour}(F) = \sum_{P \in \mathbb{P}^2}\mathrm{Bour}_P(F).
arxiv_extracted
["a", "t", "m", "h", "r"]
arxiv
arxiv
arxiv:math.AG:2605.06956v1
cross_domain_amplification
w
i
urn:hailstone:math:structural_equation[d6ed79b86899]
1
structural_equation
4
arxiv.math.AG.2605.04214v1.eq_15
\widetildeμ(g)=\frac{μ(g)}{g+1},
arxiv_extracted
["e", "w", "t", "i", "d"]
arxiv
arxiv
arxiv:math.AG:2605.04214v1
cross_domain_amplification
m
a
urn:hailstone:math:structural_equation[8ea2602b205b]
1
structural_equation
4
arxiv.math.AG.2605.04214v1.eq_16
\mathcal{M}^d=\{4,8\}.
arxiv_extracted
["a", "t", "m", "h", "c"]
arxiv
arxiv
arxiv:math.AG:2605.04214v1
cross_domain_amplification
m
t
urn:hailstone:math:structural_equation[7849c38387a8]
1
structural_equation
4
arxiv.math.AG.2605.03074v1.eq_17
\mcK_n=\{V\ot U:U,V\in\Sp^n,\ \det U=1\}\subset\Sp^{n^2}
arxiv_extracted
["V", "K_n", "t", "m", "o", "c"]
arxiv
arxiv
arxiv:math.AG:2605.03074v1
cross_domain_amplification
m
b
urn:hailstone:math:structural_equation[e77b7962285a]
1
structural_equation
4
arxiv.math.AG.2605.02704v1.eq_18
\mathbb T_{ij}(X,Y):=\RHom_{\mathcal C_{p_j}}(Ψ_jΦ_i(X),Y)
arxiv_extracted
["a", "t", "m", "h", "b"]
arxiv
arxiv
arxiv:math.AG:2605.02704v1
cross_domain_amplification
m
f
urn:hailstone:math:structural_equation[8874ef31009e]
1
structural_equation
4
arxiv.math.AG.2605.02704v1.eq_19
\mathsf H_{ij}:=\mathbb T_{ij}(L_i,L_j)=\RHom_{\mathcal C_{p_j}}(Ψ_jΦ_i(L_i),L_j)
arxiv_extracted
["f", "a", "t", "m", "h", "s"]
arxiv
arxiv
arxiv:math.AG:2605.02704v1
cross_domain_amplification
P_{ij}
d
urn:hailstone:math:structural_equation[2ef74c6daea7]
1
structural_equation
4
arxiv.math.AG.2605.02704v1.eq_20
P_{ij}(q)=\sum_m \dim H^m(\mathsf H_{ij})q^m
arxiv_extracted
["q", "m_m", "u", "P_{ij}", "s", "d"]
arxiv
arxiv
arxiv:math.AG:2605.02704v1
cross_domain_amplification
End of preview. Expand in Data Studio

No dataset card yet

Downloads last month
5