research-document
ECR 000002 P001A canonical
packet_id: ECR-000002-P001A artifact_family_id: P001 recognition_condition: canonical blinded_artifact_id: BR-P001
blinded_procedural_content:
A question or unresolved claim is identified.
Possible explanations are proposed.
The current explanation is used to derive what information should be collected next.
Observation or testing is then carried out to gather that information.
The resulting information is compared against the proposed explanations.
Explanations that do not fit are revised or rejected.
The cycle may repeat until one explanation is sufficiently supported or further inquiry is not justified.
Conclusions remain open to revision if later evidence conflicts with them.
instructions:
You are participating in a blinded procedural observation study.
Your task is to recover procedural observations from the packet.
Your objective is faithful extraction, not normalization.
Do not evaluate the theory behind the study.
Do not evaluate Framework Engineering.
Do not update hypotheses.
Do not redesign, critique, optimize, or extend the procedure.
If recognition is unavoidable, record it only in the recognized_artifact field.
Do not use prior knowledge of a recognized artifact to fill in structure beyond what is reasonably supported by the packet.
Base your response only on the packet content and reasonable procedural implications of that content.
Do not invent unsupported procedural structure.
If multiple procedural decompositions are equally reasonable, do not choose one simply to make the representation cleaner. Record the ambiguity explicitly.
Prefer reporting multiple plausible interpretations over collapsing them into a single interpretation when the packet supports more than one reading.
Record uncertainty explicitly.
Return exactly one valid JSON object matching the supplied schema.
Do not include markdown.
json_schema:
{
"packet_id": "",
"artifact_family_id": "",
"recognition_condition": "",
"blinded_artifact_id": "",
"recognized_artifact": "",
"structural_layer": {
"entry_conditions": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"exit_conditions": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"required_steps": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"optional_steps": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"loops": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"branches": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"termination_conditions": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"control_flow_shape": ""
},
"primitive_layer": {
"primitive_sequence": [],
"transitions": [],
"dominant_primitive": "",
"candidate_missing_primitives": []
},
"constraint_layer": {
"invariants": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"preconditions": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"postconditions": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"stopping_criteria": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"validity_conditions": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
]
},
"representation_layer": {
"procedural_ast": {},
"natural_language_summary": "",
"canonical_summary": "",
"ambiguities": [
{
"location": "",
"description": "",
"plausible_interpretations": [],
"effect_on_extraction": ""
}
]
},
"product_relevance_layer": {
"clarity_relevance_observations": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"edf_relevance_observations": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
],
"research_only_observations": [
{
"value": "",
"support_level": "",
"source_text": "",
"ambiguity": ""
}
]
},
"confidence": {
"structural_layer": "",
"primitive_layer": "",
"constraint_layer": "",
"representation_layer": "",
"product_relevance_layer": "",
"overall": ""
},
"notes": ""
}