Skip to main content

Documentation Index

Fetch the complete documentation index at: https://wuweism.com/llms.txt

Use this file to discover all available pages before exploring further.

The model registry exposes a catalogue of peer-reviewed structural causal models (SCMs) across scientific domains. These models encode causal structure — nodes, edges, and constraints — that power intervention validation, counterfactual tracing, and integrity checking throughout the Wu-Weism platform.
Both endpoints in this group are public. You do not need an Authorization header to read the model registry.

​
List all SCM models

GET /api/scm/models
Returns all publicly available SCMs in the registry.

​
Response fields

​
success
boolean
required
true when the request succeeds.
​
models
object[]
required
Array of model summary objects.

​
Example

curl --request GET \
  --url https://wuweism.com/api/scm/models

{
  "success": true,
  "models": [
    {
      "modelKey": "neural_topology_v1",
      "version": "1.0.0",
      "domain": "neuroscience",
      "description": "Causal model of structural brain connectivity and its relationship to cognitive outcomes, encoding known confounders including age, stress exposure, and genetic factors.",
      "nodes": ["cortisol_level", "stress_exposure", "hippocampal_volume", "age", "neuroplasticity"],
      "edges": [
        { "from": "stress_exposure", "to": "cortisol_level" },
        { "from": "cortisol_level", "to": "hippocampal_volume" },
        { "from": "age", "to": "hippocampal_volume" }
      ],
      "constraints": {
        "acyclic": true,
        "latentConfounders": ["genetic_risk"]
      }
    },
    {
      "modelKey": "alignment_bias_scm",
      "version": "1.0.0",
      "domain": "alignment",
      "description": "Structural causal model capturing how training data composition and RLHF feedback loops causally influence model alignment and emergent biases.",
      "nodes": ["training_data_distribution", "rlhf_reward_signal", "alignment_score", "emergent_bias"],
      "edges": [
        { "from": "training_data_distribution", "to": "alignment_score" },
        { "from": "rlhf_reward_signal", "to": "alignment_score" },
        { "from": "alignment_score", "to": "emergent_bias" }
      ],
      "constraints": {
        "acyclic": true,
        "latentConfounders": []
      }
    },
    {
      "modelKey": "hot_rosenthal_v1",
      "version": "1.0.0",
      "domain": "consciousness",
      "description": "Higher-order thought (HOT) causal model based on Rosenthal's representationalist framework, encoding causal relationships between first-order states, higher-order representations, and conscious experience.",
      "nodes": ["first_order_state", "higher_order_representation", "conscious_experience", "attention"],
      "edges": [
        { "from": "first_order_state", "to": "higher_order_representation" },
        { "from": "higher_order_representation", "to": "conscious_experience" },
        { "from": "attention", "to": "higher_order_representation" }
      ],
      "constraints": {
        "acyclic": true,
        "latentConfounders": ["global_workspace_access"]
      }
    }
  ]
}

​
Get a specific SCM model

GET /api/scm/models/{modelKey}
Returns the full specification for a single SCM, including its complete node list, edge set, constraints, and metadata.

​
Path parameters

​
modelKey
string
required
The unique model identifier. See the table below for known model keys.

​
Known model keys

modelKeyDomainDescription
alignment_bias_scmalignmentTraining data and RLHF effects on model alignment and emergent bias
hot_rosenthal_v1consciousnessHigher-order thought causal model (Rosenthal framework)
neural_topology_v1neuroscienceStructural brain connectivity and cognitive outcomes
neural_dynamics_v1theoretical_neuroscienceDynamic causal modelling of neural population activity
iml_epistemology_v1imlEpistemic causal structure of interpretable machine learning explanations

​
Domain values

The domain field uses one of the following values: alignment · consciousness · neuroscience · theoretical_neuroscience · iml · education · legal · ecology · evolutionary_biology · cognitive_psychology · scaling_laws · physics · abstract

​
Response fields

​
success
boolean
required
true when the request succeeds.
​
model
object
required
Full model specification.

​
Example

curl --request GET \
  --url https://wuweism.com/api/scm/models/neural_topology_v1

{
  "success": true,
  "model": {
    "modelKey": "neural_topology_v1",
    "version": "1.0.0",
    "domain": "neuroscience",
    "description": "Causal model of structural brain connectivity and its relationship to cognitive outcomes, encoding known confounders including age, stress exposure, and genetic factors.",
    "nodes": [
      "cortisol_level",
      "stress_exposure",
      "hippocampal_volume",
      "age",
      "neuroplasticity",
      "genetic_risk"
    ],
    "edges": [
      { "from": "stress_exposure", "to": "cortisol_level" },
      { "from": "cortisol_level", "to": "hippocampal_volume" },
      { "from": "age", "to": "hippocampal_volume" },
      { "from": "age", "to": "cortisol_level" },
      { "from": "neuroplasticity", "to": "hippocampal_volume" }
    ],
    "constraints": {
      "acyclic": true,
      "latentConfounders": ["genetic_risk"]
    }
  }
}